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C-ERBB2 OVER-EXPRESSION IN INVASIVE BREAST
CARCINOMA
SATHIYAMOORTHY SELVARAJAN
(MBBS., DCP.)
A THESIS SUBMITTED
FOR THE DEGREE OF M.Sc (Clinical Science)
DEPARTMENT OF ANATOMY
NATIONAL UNIVERSITY OF SINGAPORE
JULY 2003
ACKNOWLEDGMENTS
It is a privilege to express my sincere and profound gratitude and appreciation to
my supervisor, Associate Professor Bay Boon Huat, for his consistent and invaluable
guidance, advice, as well as the encouragement, support, and patience throughout the
course of this study. His exceptional supervision is embodied in the fresh ideas, sharp and
critical comments, and many hours of thought provoking discussions, which are all
essential for the completion of this study. What I have learned from him, not only with
regard to science but also in daily life, will greatly benefit my career and life in future. I
am indebted to my co-supervisor, Dr. Tan Puay Hoon, Consultant Pathologist,
Department of Pathology, Singapore General Hospital (SGH), for her consistent interest,
expert advice and especially for the many hours she has patiently spent, teaching me the
fundamentals of basic pathology.
I am very grateful to Professor Ling Eng Ang, Head, Department of Anatomy,
National University of Singapore (NUS) for his understanding, kindness and support
during my research. I also wish to extend my deep appreciation to Dr. Ivy Sng, Head,
Department of Pathology, Singapore General Hospital (SGH) for her kindness and
permission to do this study in SGH laboratories.
I would also like to express my heartfelt thanks to:
Dr. Tian Sim Leng, Head, Cytogenetics Section, Department of Pathology,
Singapore General Hospital (SGH), for his help and kindness.
Mrs. Christina Sivaswaren Rudduck, Scientific Officer, Cytogenetics Section,
Department of Pathology, Singapore General Hospital (SGH) whose valuable teaching
and guidance is very much appreciated.
Mrs. Shalawati Mamat of Cytogenetics lab, Department of Pathology, Singapore
General Hospital (SGH) for obliging me with technical assistance wherever I required
help.
Ms. Chng Mei Jiuan, Mr. Sivakumar and Ms. Maryam Hazly Hilmy of
Immunohistochemistry Laboratory, Department of Pathology, Singapore General
Hospital (SGH) for their kind assistance.
All the staff of the Department of Anatomy for their assistance, co-operation and
help during my stay.
My friends and fellow graduate students for their friendship and support.
All the staff of the Department of Pathology, SGH for the help, support and cooperation.
Financial support from the National University of Singapore Postgraduate
scholarship is gratefully acknowledged. This study was supported by a grant from
SingHealth Cluster Research Fund No. BF006/2001 and Singapore Cancer Society.
I gratefully acknowledged the support and encouragement of my family
throughout the endeavor and their pivotal role in my progress.
Last but not least, I am grateful to my wife, Mrs.Parameshwari, for her
understanding and support during this important period of my academic career. I would
like to dedicate this thesis to my wife and our daughter, Jothsna SP.
CONTENTS
ACKNOWLEDGEMENTS
i
CONTENTS
iii
ABBREVIATIONS
ix
LIST OF TABLES
xiii
LIST OF FIGURES
xv
LIST OF PUBLICATIONS
xviii
SUMMARY
xx
CHAPTER1. INTRODUCTION
1
1.1 Epidemiology of breast cancer
2
1.1.1 Breast cancer around the world
2
1.1.2 Breast cancer in Singapore
2
1.2 Classification of breast disorders
4
1.2.1 Benign breast disease
4
1.2.2 Malignant breast disease
6
1.2.2.1 Ductal carcinoma in situ
8
1.2.2.2 Lobular carcinoma in situ
8
1.2.2.3 Invasive ductal carcinoma
9
1.2.2.4 Invasive lobular carcinoma
11
1.2.2.5 Other forms of breast carcinoma
11
1.3 Clinicopathological parameters
12
1.3.1 Histologic grade
12
1.3.2 Pathological staging
14
1.3.3 Lymph node status
16
1.3.4 Hormone receptors
17
1.4 Biological markers
19
1.4.1 Ki-67
19
1.4.2 iNOS
20
1.4.3 C-myc
21
1.4.4 C-erbB2 and Epidermal growth factor receptor (EGFR)
22
1.4.4.1 C-erbB2 and breast cancer
25
1.4.4.2 Detection of c-erbB2
26
1.4.4.3 C-erbB2 and treatment
29
1.5 Scope of study
30
CHAPTER 2. MATERIALS AND METHODS
33
2.1 Patients and breast tissues
34
2.2 Histopathological diagnosis
34
2.3 Immunohistochemistry
35
2.3.1 Staining procedure for light microscopy
35
2.3.1.1 Sectioning, dewaxing and rehydration
35
2.3.1.2 Antigen retrieval
35
2.3.1.3 Blocking of endogenous peroxidase
35
2.3.1.4 Blockage of nonspecific binding sites
35
2.3.1.5 Specific binding of primary antibody
36
2.3.1.6 Detection of the specific primary antibody binding sites
36
2.3.1.7 Counterstain, dehydration and mounting
36
2.3.1.8 Controls of immunohistochemistry
2.3.2 Quantification of immunohistochemical staining
37
38
2.3.2.1 Assessment of c-erbB2 immunopositivity
38
2.3.2.2 Assessment of ER and PR immunostaining
39
2.3.2.3 Assessment of Ki-67 immunoreactivity
39
2.3.2.4 Assessment of iNOS immunostaining
39
2.3.2.5 Assessment of c-myc immunostaining
40
2.4 Fluorescence in situ (FISH) analysis of c-erbB2 oncogene
40
2.4.1 Breast cancer tissues
40
2.4.2 Fixation duration
40
2.4.3 Fixation protocols
41
2.4.4 Microwave oven fixation
41
2.4.5 Hybridization procedure
42
2.4.5.1 Sectioning, dewaxing and rehydration
42
2.4.5.2 Acid treatment and pretreatment with sodium thiocyanate 42
2.4.5.3 Protein digestion
42
2.4.5.4 Detergent treatment and dehydration
42
2.4.5.5 Probe protocol
43
2.4.5.6 Post-hybrid wash and mounting
43
2.4.6 Quantification of FISH signals
2.5 Nuclear morphometry
43
44
2.5.1 Breast cancer tissues
44
2.5.2 Image cytometry
44
2.6 Statistical analysis
45
CHAPTER 3. RESULTS
46
3.1 Histopathology
47
3.2 Hormone receptor status
50
3.3 C-erbB2 detection
52
3.3.1 C-erbB2 immunostaining at protein level
52
3.3.2 C-erbB2 amplification at gene level
56
3.3.2.1 C-erbB2 gene amplification and fixation duration
56
3.3.2.2 C-erbB2 gene amplification and fixation protocols
63
3.3.2.3 C-erbB2 gene amplification and microwave
oven fixation
66
3.3.3 Correlation of c-erbB2 protein overexpression and
gene amplification
67
3.4 Association of c-erbB2 overexpression with nuclear morphometry
68
3.5 Association of c-erbB2 overexpression with established
clinicopathological and biological markers
71
3.5.1 Association of c-erbB2 overexpression and hormone
receptor status
71
3.5.2 Relationship between c-erbB2 overexpression and
clinicopathological parameters in invasive breast carcinoma
72
3.5.2.1 Association of c-erbB2 overexpression and
histological grade
72
3.5.2.2 C-erbB2 overexpression and other
clinicopathological factors
72
3.5.3 C-erbB2 overexpression with Ki-67
74
3.5.4 C-erbB2 overexpression with iNOS
76
3.5.5 C-erbB2 overexpression with c-myc
78
3.5.6 Association of biological markers with clinicopathological
parameters in invasive breast carcinoma
80
3.5.6.1 Ki-67
80
3.5.6.2 iNOS
80
3.5.6.3 c-myc
80
3.6 Follow up and survival analysis
83
3.6.1 Kaplan-Meier survival analysis
83
3.6.2 Multivariate Cox regression analysis
89
CHAPER 4. DISCUSSION
90
4.1 C-erbB2 (HER2/neu) status in invasive breast carcinoma
91
4.1.1 Brief overview of c-erbB2 assessment
91
4.1.2 C-erbB2 protein overexpression by immunohistochemistry (IHC)
92
4.1.3 C-erbB2 gene amplification by Fluorescence in situ
hybridization (FISH)
94
4.1.4 Concordance between c-erbB2 gene amplification and
protein overexpression
96
4.2 C-erbB2 status and clinicopathological parameters
98
4.2.1 C-erbB2 overexpression and hormonal receptor status
98
4.2.2 C-erbB2 overexpression with histological grade and
nuclear morphometry
100
4.2.3 C-erbB2 status and other clinicopathological parameters
103
4.3 C-erbB2 status and biological markers
106
4.3.1 C-erbB2 status and cell proliferation (Ki-67)
106
4.3.2 C-erbB2 status and iNOS
107
4.3.3 C-erbB2 status and c-myc
108
4.3.4 Clinicopathlogical parameters and biological markers: Ki-67,
iNOS and c-myc
108
4.4 Follow up and survival analysis
110
4.5 Conclusion
111
4.6 Future study
114
REFERENCES
115
APPENDIX
147
ABBREVIATIONS
µl
Microliter
A
Amplified
AJCC
American Joint Committee on Cancer
ANOVA
One-way analysis of variance
AR
amphiregulin
CEP 17
Centromere 17
C-erbB2
v-erb-B2 avian erythroblastic leukemia viral
oncogene homolog 2
c-myc
v-myc avian myelocytomatosis viral oncogene
homolog
CR-1
cripto-1
DAB
3, 3’ diaminobenzidine tetrachloride
DAPI
4, 6 diamidino-2-phenylindoledihydrochloride
hydrate
DCIS
Ductal carcinoma in situ
DFS
Disease free survival
DNA
Deoxyribonucleic acid
EGF
Epidermal growth factor
EGFR
Epidermal growth factor receptor
EIA
Enzyme immunoassay
ELISA
Enzyme-linked immunosorption assay
ER
Estrogen receptor
ERE
Estrogen response elements
FISH
Fluorescence in situ hybridization
GAP
GTPase activating protein
GFR
Growth factor receptor
H&E
Hematoxylin and Eosin
H2O2
Hydrogen peroxide
HCl
Hydrochloric acid
HER2
Human epidermal growth receptor 2
hr/hrs
Hour/hours
IDC
Invasive ductal carcinoma
IGF-1
Insulin like growth factor
IgG
Immunoglobulin G
IHC
Immunohistochemistry
ILC
Invasive lobular carcinoma
iNOS
Inducible nitric oxide synthase
kD
Kilodalton
KI
Cell proliferation index
LCIS
Lobular carcinoma in situ
LSI
Locus specific
M (Staging)
Distant metastasis (staging)
M
Mole
Min
minute/minutes
mm
millimeter
MMP
Matrix metalloproteinase
mRNA
Messenger RNA
N
Axillary node metastasis
NA
Not amplified
NaCl
Sodium chloride
Neg
Negative
NO
Nitric oxide
NP-40
Nonidet P - 40
NST
No special type
OH-
hydroxyl ion
OS
Overall survival
PLC-γ
Phospholipase C-gamma
Pos
Positive
PR
Progesterone receptor
pTNM
Pathological staging
RNA
Ribonucleic acid
RT
Room temperature
SD
Standard deviation
Silane
3-aminopropyltriethoxysilane
SPSS
Statistical package for social sciences
SSC
Sodium chloride sodium citrate
T
Tumor
TBS
Tris hydrochloride buffer saline
TDLU
Terminal duct-lobular units
TGF-α
Transforming growth factor-α
TGF-β
Transforming growth factor-β
TNM
Tumor, node and metastasis
WHO
World Health Organisation
LIST OF TABLES
Table 1
Ten most frequent cancers in Singapore women
3
Table 2
Categorization of benign breast lesions
5
Table 3
Classification of malignant breast disease
7
Table 4
Relative percentage of main histologic subtypes of invasive
breast cancer in different studies
10
Table 5
Criteria for histological grading of invasive breast cancer
13
Table 6
AJCC - TNM staging of breast carcinoma
16
Table 7
Primary antibodies used for immunohistochemistry
37
Table 8
Scores for c-erbB2 overexpression using the DAKO Hercep
protocol
39
Different protocols of protein digestion and pretreatments used
for groups
41
Table 10
Clinico-pathological parameters of the patients in this study
48
Table 11
Hormone receptor status in invasive breast carcinoma
50
Table 12
C-erbB2 (HER2/neu) FISH and immunostaining of formalin
fixed breast cancer tissues (12 hrs and 27 hrs) in group 1
57
C-erbB2 (HER2/neu) FISH and immunostaining of formalin
fixed breast cancer tissues (2 hrs and 17.5 hrs) in group 2
59
C-erbB2 (HER2/neu) FISH and immunostaining of formalin
Fixed breast cancer tissues (28.5 hrs and 541 hrs) in group 3
61
C-erbB2 (HER2/neu) FISH of formalin fixed paraffin-embedded
archival breast cancer tissues of less than 12 months’ duration
64
C-erbB2 (HER2/neu) FISH of formalin fixed paraffin-embedded
archival breast cancer tissues of more than 12 months’ duration
65
Table 9
Table 13
Table 14
Table 15
Table 16
Table 17
Table 18
C-erbB2 (HER2/neu) FISH of formalin fixed breast cancer
tissues (microwave oven and routine fixation)
Nuclear morphology of cancer cells in c-erbB2 positive and
c-erbB2 negative tumors
66
68
Table 19
Nuclear morphology of malignant cells with respect to
clinicopathologic markers of prognosis in c-erbB2 positive
breast tumors
70
Table 20
Association of c-erbB2 overexpression and ER status
71
Table 21
Association of c-erbB2 overexpression and PR status
71
Table 22
Correlation between c-erbB2 overexpression and
clinicopathological parameters
73
Table 23
Association of c-erbB2 overexpression with Ki-67
74
Table 24
Association of c-erbB2 overexpression with iNOS
immunoreactivity
76
Table 25
Association of c-erbB2 overexpression with c-myc
78
Table 26
Distribution of clinico-pathological parameters and
biological markers
81
Univariate analysis of biological markers and
clinico-pathological parameters in breast carcinoma
82
Multivariate analysis of important prognostic factors for
their relationship with overall survival
89
Comparison of methods used to detect c-erbB2 status
91
Table 27
Table 28
Table 29
LIST OF FIGURES
Fig. 1
Mechanism of action of estrogen (E) in human breast cancer
cells.
18
Fig. 2
Steps involved in growth factor (c-erbB2) signal transduction.
25
Fig. 3
Scope of study.
32
Fig. 4
A histologic grade 1 tumor showing predominant tubules with
mild to moderately pleomorphic nuclei and hardly any mitoses.
49
A histological grade 2 tumor showing the presence of trabeculae
with scanty tubules, moderately pleomorphic nuclei and
few mitoses.
49
A histological grade 3 tumor displaying no tubules and nuclei
which are irregular in size and shape and mitoses are obvious.
50
Invasive ductal breast carcinoma showing strong nuclear
positivity for ER in cancer cells.
51
Invasive ductal breast carcinoma showing strong positive
reactivity of the nuclei for PR.
51
Fig. 9
Intensity of c-erbB2 immunostaining in all patients.
52
Fig. 10
C-erbB2 immunostaining of invasive ductal breast cancer
tissues. Negative control.
53
C-erbB2 immunostaining of invasive ductal breast carcinoma.
1+ staining (considered negative).
54
C-erbB2 immunostaining of invasive ductal breast carcinoma.
2+ positive staining.
54
C-erbB2 immunostaining of invasive ductal breast carcinoma.
3+ positive staining.
55
Ductal Carcinoma in situ component of invasive ductal breast
carcinoma.
55
Fig. 15
FISH post 12 hr fixation.
58
Fig. 16
FISH post 27 hr fixation.
58
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 17
FISH post 2 hr fixation.
60
Fig. 18
FISH post 17.5 hr fixation.
60
Fig. 19
FISH post 28.5 hr fixation.
62
Fig. 20
FISH post extended duration of fixation.
62
Fig. 21
FISH of archival paraffin-embedded breast cancer tissues
stored less than 12months’.
64
FISH of archival paraffin-embedded breast cancer tissues
stored more than 12months’.
65
FISH post (A) 12 and (B) 27 hr fixation. (C)Immunostaining
for c-erbB2 (HER2/neu) (3+), showing a complete, intense
membranous pattern of positivity.
67
Nuclei of c-erbB2 positive invasive ductal carcinoma
digitally outlined using a computer mouse.
69
Nuclei of c-erbB2 negative invasive ductal carcinoma
digitally outlined using a computer mouse.
69
Positive Ki67 immunostaining showed nuclear
positivity of the proliferating cancer cells of invasive
breast carcinoma.
75
Negative control (omission of primary antibody)
showed no Ki67 immunostaining ofthe cancer cells of
invasive breast carcinoma.
75
iNOS immunostaining showed strong cytoplasmic positivity
of the cancer cells of invasive breast carcinoma.
77
Negative control showed no iNOS immunostaining of the
cancer cells of invasive breast carcinoma.
77
Positive c-myc immunostaining showed nuclear as well as
cytoplasmic positivity of the cancer cells of
invasive breast carcinoma.
79
Negative control showed no c-myc immunostaining of the
cancer cells of invasive breast carcinoma.
79
Fig. 22
Fig. 23
Fig. 24
Fig. 25
Fig. 26
Fig. 27
Fig. 28
Fig. 29
Fig. 30
Fig. 31
Fig. 32
Kaplan-Meier curves for overall survival (OS) with regard
Fig. 33
Fig. 34
Fig. 35
Fig. 36
Fig. 37
to c-erbB2 overexpression (n = 290).
Kaplan-Meier curves for overall survival (OS) stratified by
c-erbB2 status, in patients with node-positive tumors (n = 118).
84
85
Kaplan-Meier curves for overall survival (OS) stratified by
c-erbB2 status, in patients with histologic grade 1 and 2
tumors (n = 109).
86
Kaplan-Meier curves for overall survival (OS) stratified by
c-erbB2 status, in patients with ER positive tumors (n = 185).
87
Kaplan-Meier curves for overall survival (OS) stratified by
c-erbB2 status, in patients in age group > 50 years (n = 159).
88
Flow chart of significance of c-erbB2 overexpression/
amplification in invasive breast cancer in Singapore women.
113
LIST OF PUBLICATIONS
Parts of the present study have been published, are in press or have been
submitted for publication in journals and conference proceedings.
Journal Articles – International Refereed
1. Selvarajan S, Bay BH, Choo A, Chuah KL, Sivaswaren CR, Tien SL, Wong CY,
Tan PH. Effect of fixation period on HER2/neu gene amplification detected by
fluorescence
in
situ
hybridization
in
invasive
breast
carcinoma.
J Histochem Cytochem 50:1693-1696, 2002
2. Selvarajan S, Bay BH, Mamat S, Choo A, Chuah KL, Sivaswaren CR, Tien SL,
Wong CY, Tan PH. Detection of HER2/neu gene amplification in archival
paraffin-embedded breast cancer tissues by fluorescence in situ hybridization.
Histochem and Cell Biol 120:251-255,2003
3. Selvarajan S, Bay BH, Khoo KS, Tan PH. Overexpression of C-erbB2 Correlates
with Nuclear Morphometry and Prognosis in Breast Carcinoma in Asian women.
(Submitted for publication)
Conference Papers (Abstracts):
1. Selvarajan S, Tan PH, Bay BH. Immunohistochemical expression of c-erbB2 in
invasive breast carcinoma from Singapore Chinese women. 3rd ASEAN
Micrcoscopy Conference and 19th Annual Conference of EMST, Chiang Mai,
Thailand, 2002. (Oral presentation)
2. Selvarajan S, Lin VC, Jin R, Tan PH, Bay BH. Association of progesterone
receptor with histologic grade in human invasive breast carcinoma. The 7th World
Congress on Advances in Oncology and 5th International Symposium on
Molecular Medicine, Hersonissos, Crete, Greece. 2002. (Abstract)
3. Selvarajan S, Bay BH, Tan PH. Nuclear morphometry in c-erbB2 positive
invasive ductal breast carcinoma. The 7th World Congress on Advances in
Oncology and 5th International Symposium on Molecular Medicine, Hersonissos,
Crete, Greece. 2002. (Oral presentation)
SUMMARY
C-erbB2 belongs to the human epidermal growth factor receptor family that plays
an important role in the regulation of fundamental processes such as cell growth, survival
and differentiation. C-erbB2 or human epidermal growth factor receptor-2 (HER2) gene
is a proto-oncogene mapped to chromosome 17q21 and encodes a 185-kD
transmembrane glycoprotein, designated as p185HER2, which is often simply called the
HER2 protein or receptor. C-erbB2 is known to be overexpressed, amplified or both in
several human malignancies, including breast cancer. Amplification of c-erbB2 gene has
been reported to occur in 10-34% of primary breast carcinomas. Furthermore, anti-HER2
monoclonal antibodies (Mabs) are known to inhibit the growth of tumors and human
breast cancer cell lines overexpressing the c-erbB2 protein.
The aim of this study is to explore the expression of c-erbB2 at the genetic and
protein level and to correlate c-erbB2 overexpression with clinico-pathologic parameters,
biological markers and prognosis. From 321 cases of breast cancer diagnosed at the
Singapore
General
Hospital,
c-erbB2
overexpression
was
detected
by
immunohistochemistry (IHC). Biological markers: Ki-67, iNOS, c-myc and ER and PR
were also evaluated by IHC. Clinicopathological data was obtained from the Pathology
Registry. Nuclear image cytometry was analysed. Follow up data were traced from
patients’ case notes and Singapore Cancer Registry. Survival analysis of the patients for
evaluating the prognostic significance of c-erbB2 overexpression was performed.
In this current study, c-erbB2 overexpression was found to be expressed higher in
grade 3 tumors compared to grade 1 and grade 2 tumors. This study also supported a
positive correlation between c-erbB2 expression and histologic grade of breast cancer,
with overexpression being less frequent in grade 1 and 2 than in grade 3 carcinomas (P =
0.017). C-erbB2 overexpressed cases showed an inverse association with ER and PR
positivity (P = 0.001); ER positive tumors were more likely to be c-erbB2 negative than
were ER negative tumors (74.1% versus 48.1%). When analyzing the association of
nuclear morphometric data in relation to histopathologic parameters in the group of cerbB2 positive breast cancers, there was a significant difference in (a) nuclear area and
perimeter between histological grade 3 and histologic grade 1 and 2 (P = 0.001 and P =
0.03 respectively) and (b) nuclear perimeter between tumor size ≤ 20 mm and tumor size
> 20 mm (P = 0.046). There is significant difference in overall survival (P = 0.0166),
between c-erbB2 positive and c-erbB2 negative cases, indicating an adverse prognosis for
the c-erbB2 positive ones. Different combinations of tumor characteristics for possible
additive prognostic capacities were also investigated. Node positivity, ER positivity,
histologic grade 1 and 2 group and age at diagnosis >50 group showed diminished
survival with regard to c-erbB2 overexpression.
It is therefore concluded that c-erbB2 overexpression in invasive breast cancer in
Singapore women has a similar pattern and trend as that reported in studies from other
countries with mostly western populations. C-erbB2 overexpression is strongly associated
with poorly differentiated breast carcinoma and inversely correlated with hormone
receptor status. Overexpression of c-erbB2 in invasive breast cancer is associated with
poor overall survival. Strong correlation is found in c-erbB2 expression at the genetic and
protein expression level.
CHAPTER 1
INTRODUCTION
1.1 Epidemiology of breast cancer
1.1.1 Breast cancer around the world
Breast cancer is the second leading cause of cancer deaths in women today (after
lung cancer) and is the most common cancer among women, excluding non-melanoma
skin cancers. The incidence rates of breast cancer show considerable variations among
different geographical locations. It ranges from high among women in North America,
South America and Israel, to intermediate in much of Europe and Australia, and low in
most of Asia (Deapen et al., 2002). In America, the breast cancer incidence rates in
females increased from 82.6 per 100,000 person-years in 1973 to 118.1 per 100,000
person-years in 1998 (Howe et al., 2001). Within Asia, Hong Kong has the highest breast
cancer incidence (Leung et al., 2002). In Japan, age-standardized rate of breast cancer
which is the leading cancer in women is 41.8 per 100,000 in 1997 (Cancer research
group., Japan, 2002). In Ho Chi Minh city, Vietnam, breast cancer has been reported to
have the second highest incidence, after gastric carcinoma (Nguyen et al., 1998). Breast
cancer is also the leading cause in women who die of cancers in Malaysia. A comparative
study with the Singapore population showed that Singapore women presented with breast
cancer at earlier stages with a smaller tumor size as compared to Malaysian women (Yip
et al., 1996).
1.1.2 Breast cancer in Singapore
Breast cancer is the commonest cancer among Singapore women for the last three
decades. More than 90,000 persons in Singapore were diagnosed with invasive breast
cancers from January 1968 to December 1992 (Chia et al., 2001). The ten most common
cancers in Singapore women during the period 1993-1997 and 1998-1999 are listed in
Table 1 (Chia et al., 2002).
Table 1 Ten most frequent cancers in Singapore women (adapted from Chia KS et al.,
Singapore cancer registry report no.5; 2002)
Ranking
Site
1993-1997
1998-1999
Breast
1
1
Colorectum
2
2
Lung
3
3
Cervix
4
4
Stomach
5
5
Ovary
6
6
Skin (including Melanoma)
7
7
Corpus uteri
8
8
Thyroid
9
9
Lymphoma
-
10
10
-
Nasopharynx
There were 20.2 breast cancer cases per 100,000 women in the period 1968-1972,
which has increased to 38.8 per 100,000 in 1988-1992, leading to an average annual
increase of 3.6% over the past 25-year period for all women (Seow et al., 1996). The
incidence rate of breast cancer has increased 2.3 times in 1993-1997 compared to that in
1968-1972 with the peak incidence age group being 45-49 years. Breast cancer comprises
22.8% of all cancers in Singapore women and is associated with an annual mortality rate
of 13.7 per 100,000 per year (Chia et al., 2000). The age-standardized incidence rate is
53.1 cases per 100,000 women per year over the period of 1998-1999 as compared with
46.1 cases per 100,000 women over the period of 1993-1997 (Chia et al., 2002).
However, the incidence is less than 50% compared to that of American women i.e., 114.5
per 100,000 women per year (Wingo et al., 1998). The pattern of breast cancer incidence
is also becoming more similar to the western population as evidenced by the shift of the
peak age-specific incidence for breast cancer from premenopausal to postmenopausal
years over the period of 1998-1999 (Chia et al., 2002). Among ethnic groups, there is
controversy in different studies. Malay women have been reported to be at an increased
risk (4.4%) of developing breast cancer as compared to Chinese and Indian women
(1.4%) (Seow et al., 1996). In another study, Chinese women appear to be at an increased
risk i.e., 10% to 20% higher, as compared to Malay and Indian women (Chia et al.,
2000).
1.2 Classification of breast disorders
1.2.1 Benign breast disease
Breast lesions are broadly classified as inflammatory, benign and malignant
lesions. Benign breast disorders are a heterogeneous group of lesions that clinically and
radiographically span the entire spectrum of breast abnormalities. Some benign breast
lesions may mimic breast cancer on physical examination and imaging studies.
Inflammatory and benign lesions are shown combined in Table 2. Categorization of
benign breast lesions is in accordance with the criteria of Schnitt et al (2000).
Table 2 Categorization of benign breast lesions (modified from Schnitt et al., 2000)
Reactive and Inflammatory
Mammary duct ectasia
Fat Necrosis
Foreign body reaction
Mondor’s disease
Sarcoidosis
Diabetic mastopathy
Infections
Hamartoma
Non-proliferative
Cysts
Papillary apocrine change
Mild hyperplasia
Proliferative
Moderate or florid ductal hyperplasia
Intraductal papilloma
Sclerosing adenosis
Atypical hyperplasia
Atypical ductal hyperplasia (ADH)
Atypical lobular hyperplasia (ALH)
Benign tumors
Fibroadenoma
Tubular adenoma
Lactating adenoma
Juvenile papillomatosis
Microglandular adenosis
Radial scars
Granular cell tumors
Fibromatosis
Miscellaneous, like apocrine changes, calcifications.
1.2.2 Malignant breast disease (Histologic subtypes)
Breast carcinoma presents in a great variety of histological patterns, including
specific types which have useful clinical correlates and prognostic implications.
Morphological classification of invasive breast carcinoma has existed for several
decades. The classification system currently followed is based on a descriptive
terminology for patterns of tumor growth (histological typing) which has been outlined
by the World Health Organization (WHO) (Azzopardi et al., 1981). Table 3 shows the
classification of malignant breast disease modified from that described by Page and
Anderson (1987), which recognizes the WHO classification system for histological
typing.
Table 3 Classification of malignant breast disease (modified from Page and Anderson,
1987)
Epithelial origin
Non-invasive
Ductal carcinoma in situ
Microinvasive carcinoma
Lobular carcinoma in situ
Invasive
Ductal no special type (NST)
Lobular
Medullary
Tubular
Invasive cribriform
Mucinous
Metaplastic
Mixed types
Uncommon types
Secretory
Adenoid cystic
Mucoepidermoid
Invasive papillary
Tubulolobular
Inflammatory
Rare types
Signet ring
Lipid rich
Clear cell
Myoepithelioma
Carcinoid
Mesenchymal origin
Sarcomas
Miscellaneous origin
Hematopoietic
Metastatic carcinoma
1.2.2.1 Ductal carcinoma in situ (DCIS)
Ductal carcinoma in situ (DCIS) originates from the terminal duct-lobular unit
(TDLU), and implies malignant transformation of lining epithelial cells restricted within
the basement membrane. Myoepithelial cells are seen in DCIS, which is a distinct feature
that differentiates it from invasive carcinoma. The recognition of DCIS as a separate
entity distinct from hyperplasia and invasive carcinoma was gradual through the first half
of the twentieth century. It is now a firmly accepted entity, and has been categorized into
several architectural patterns (Page and Anderson, 1987). DCIS is an early, noninvasive
phase of breast cancer, and also the purported forerunner of the majority of invasive
breast cancers (Frykberg and Bland, 1994). DCIS is classified into subtypes based on
architectural patterns viz., comedo, cribriform, micropapillary, papillary, solid types.
Currently this morphologic classification system is replaced by schemes that attempt to
predict the biologic potential of DCIS, particularly the risk of recurrence and likelihood
of progression to invasive carcinoma (Shoker and Sloane, 1999; Ellis et al., 1998). After
the introduction of mammography, which has enabled early diagnosis of breast cancer,
DCIS detection has increased from 0.8% - 5% (Tan et al., 1999; Schnitt et al., 1988) to
15% - 20% (Lagios, 1990). In the Singapore breast screening project, it accounted for
25% of all screen detected breast cancers (Tan et al., 1999).
1.2.2.2 Lobular carcinoma in situ (LCIS)
Lobular carcinoma in situ (LCIS) is a distinct entity from DCIS. It is
predominantly a disease of premenopausal women between the ages of 40 to 50 years
(Lishman and Lakhani, 1999). It is not clinically palpable and there are usually no
mammographic changes. The pathological diagnosis of LCIS is made when there is a
monomorphic population of small round cells with thin cytoplasmic rims and high
nuclear-cytoplasmic ratios, sometimes with intracytoplasmic lumina, affecting the lobular
units (Lishman and Lakhani, 1999). It is now regarded as risk indicator, rather than as a
true forerunner of invasive breast cancer. Low nuclear grade solid DCIS may mimic
LCIS, and pose diagnostic difficulty. The relationship between DCIS, LCIS and invasive
breast cancer needs further elucidation.
1.2.2.3 Invasive ductal carcinoma (IDC)
Invasive ductal carcinoma (IDC) is the most common type of invasive carcinoma
of the breast, although exact figures derived from different publications vary. Table 4
shows the relative percentage of main pathological types of invasive breast cancer in
different studies. The distribution of IDC ranges from 47% to 79.2% of all subtypes of
invasive breast cancers (Li et al., 2003; Chia et al., 2000; Pereira et al., 1995; Ellis et al.,
1992; Soomro et al., 1991) (Table 4).
Table 4 Relative percentage of main histologic subtypes of invasive breast cancer in
different studies
Type
Chia et al.
2000
Singapore
(%)
Pereira et al.
1995
UK
(%)
Ellis et al.
1992
UK
(%)
Soomro et al.
1991
UK
(%)
Dixon et al.
1985
UK
(%)
Ductal
79.2
50
47
42.3
66.8
Lobular
4.4
15.4
15
22.1
9.8
Medullary
1.2
2.8
7.3
8.7
4.6
Tubular
0.6
2.4
2.3
4
7.9
Mucinous
2.6
0.9
0.9
15.4
1.7
Cribriform
0.7
0.8
0.8
4
3.3
Papillary
1
0.3
-
2.7
1
Mixed
0.8
19.8
20.8
0.8
-
Others
9.5
8.4
5.9
-
4.9
Histologically, an extreme variety of patterns without the usual regularity and
uniformity is seen in IDC. Features of single cell infiltration, poorly cohesive islands of
infiltrating cells, foci of poorly formed glands, or even well defined glandular patterns are
seen throughout a single lesion. Because of this, the term “Carcinoma-No special type”
(NST) has been used as a substitute (Dixon et al., 1985).
IDC usually presents as a hard, palpable mass with an average size of 2 to 3 cm,
but the size may vary from a tiny lesion of few millimeters to as large as to replace the
entire breast. Macroscopically, IDC is usually whitish gray in color and of varying shapes
like stellate, oval or sometimes irregular. The typical appearance of spicules radiating out
from the central mass lesion is characteristic of cancer which literally means ‘the crab’.
Microscopically, there are not many distinctive features, as IDC may be solid and highly
cellular or paucicellular (Sharkey et al., 1996).
1.2.2.4 Invasive lobular carcinoma (ILC)
It is the second most frequent form of invasive breast carcinoma and accounts for
4.5% to 15% of all invasive breast cancers (Li et al., 2003; Chia et al., 2000; Pereira et
al., 1995; Ellis et al., 1992; Dixon et al., 1985). The incidence rate of ILC has continued
to rise in the past 15 years (Li et al., 2003). ILC presents as a diffuse lesion that is not
detectable by routine physical examination or by mammography. Histologically, ILC
comprises uniform, small, round, poorly cohesive cells with rounded or oval nuclei and
eccentrically placed cytoplasm, frequently containing intracytoplasmic lumina (du Toit et
al., 1989). Tumor cells are arranged like narrow cords (“Indian file” pattern) in a
desmoplastic stroma. Several subtypes or variants of invasive lobular carcinoma have
been described: (a) classical variant (b) solid variant (c) alveolar variant (d) tubulolobular variant (e) pleomorphic variant and (f) mixed variant (Sloane et al., 1995; du Toit
et al., 1989; Dixon et al., 1982).
1.2.2.5 Other forms of breast carcinoma
These tumors are much less common than IDC or ILC and are called special
forms due to the following reasons: (i) Specific architectural patterns, for example
mucinous, medullary, tubular, adenoid cystic, apocrine and cribriform (ii) Distinct
clinical behavior, for example inflammatory, metaplastic, Paget’s disease of nipple, the
former two entities having aggressive behavior. Other than these types, a few rare forms
of invasive breast cancers can also occur viz., pseudosarcomatous type, signet-ring cell
type, invasive papillary, secretory carcinoma, etc.
Primary sarcomas of the breast are rare. Yet the parenchyma and connective
tissue elements are capable of giving rise to many soft tissue sarcomas. Malignant
cystosarcoma phyllodes, a special type of sarcoma, is the most common of all. Other
sarcomas that do arise from breast tissue are angiosarcoma, fibrosarcoma, liposarcoma,
malignant fibrohistiocytoma etc.
Studies have shown that recognition of the histological type can provide highly
significant prognostic prediction.
The special types (tubular, invasive cribriform,
mucinous) and tubulo-lobular carcinoma carry an excellent prognosis, mixed types have
good prognosis, classical lobular and medullary (all types) have an average prognosis;
solid lobular and ductal (NST) types are of relatively poor prognosis (Ellis et al., 1992).
1.3 Clinicopathological parameters
1.3.1 Histologic grade
Histologic grading is one of the most important pathologic parameters and an
essential determinant of prognosis that also allows risk stratification of invasive breast
carcinoma (Fitzgibbons et al., 2000; Brown et al., 1993).
Sloane et al (1995)
demonstrated the latest revised system of histologic grading of breast cancers. The
histologic grading system gained its importance from the early quarter of the 20th century
and has been well recognised by Scarff-Bloom-Richardson (1957), further modified by
Elston and Ellis (1991) in the Nottingham study. The histological grading of breast
cancer always has a potentially subjective element, but reproducibility can be achieved
when specific guidelines are followed (Dalton et al., 1994; Elston and Ellis, 1991).
Table 5 shows the grading criteria as outlined by the Nottingham group, which
represent a semi-quantitative modification of the Bloom and Richardson criteria,
therefore providing more specific guidelines for grading.
Table 5 Criteria for histological grading of invasive breast cancer*
Feature
Score
Degree of tubule formation
Majority of tumor (>75%)
Moderate (10-75%)
Little or none ( 10% of tumor cells were regarded
as 2+ and 3+ respectively. A score of 0 and 1+ was considered negative and 2+ and 3+
as positive (Table 8). One section from each case has been scored. Staining was
considered ‘indeterminate’ when c-erbB2 immunostaining was also observed in adjacent
stroma or inflammatory cells, or if benign epithelium also showed membranous reactivity
(Fitzgibbons et al., 2000).
Table 8 Scores for c-erbB2 overexpression using the DAKO Hercep protocol (DAKO
HercepTest-Package insert, 1999).
Score
C-erbB2 overexpression assessment
0
Negative
1+
Negative
2+
Weak positive
3+
Strong positive
Staining pattern
No staining is observed or membrane
staining is observed in 10% of tumor
cells. The cells are only stained in part
of their membrane
A weak to moderate complete
membrane staining is observed in >10%
of tumor cells
A strong complete membrane staining is
observed in >10% of tumor cells
2.3.2.2 Assessment of ER and PR immunostaining
Positive ER and PR staining was defined as when 10% or more of tumor cell
nuclei were immunoreactive.
2.3.2.3 Assessment of Ki-67 immunoreactivity
Immunoreactivity of Ki-67 was expressed as a percentage based on
semiquantitative assessment of the proportion of immunopositive cells. The
immunoreactivity of the Ki-67 antibody was distributed in 4 categories: negative
proliferative index (no detected positive cells), low (≤ 5% positive cells), moderate (610% positive cells) and high (>10% positive cells).
2.3.2.4 Assessment of iNOS immunostaining
Positivity of iNOS was confirmed when more than 10% of tumor cells showed
cytoplasmic staining.
2.3.2.5 Assessment of c-myc immunostaining
Cases in which more than 10% of tumor cells showed cytoplasmic staining were
considered positive, irrespective of the nuclear positivity. Some tumors included cells
with nuclear positivity.
2.4 Fluorescence in situ hybridization (FISH) analysis of c-erbB2 oncogene
2.4.1 Breast cancer tissues
A total of 98 cases comprising both archival and more recent ones, were subjected
to FISH evaluation. To study the retrievel of FISH signals from archival paraffin blocks of
breast cancer, sections were cut from the blocks stored between the years 1995-2001.
2.4.2. Fixation duration
Tumor tissues were divided into three groups based on duration of fixation in 10%
buffered formalin. Two sets of tumor tissues from each case were allotted into three
groups. They were fixed in 10% buffered formaldehyde for 12 ± 2.5 hrs (range 9-18 hrs,
median 12 hrs) and 27 ± 3.0 hrs (range 20–32 hrs, median 27 hrs) in the first group; 2 hrs
and 17.5 ± 1.5 hrs (range 16-20 hrs, median 17.5 hrs) in the second group; and 28.5 ± 2 hrs
(range 26-30 hrs, median 28.5 hrs) and 541 hrs ± 285 hrs (range 193-1010 hrs, median 541
hrs) in the third group. All cases in the first group represented the usual range of fixation
duration for breast surgical specimens routinely handled in the laboratory; while the
second and third groups were used to test the effect of a shortened fixation duration (2 hrs)
and an extended fixation duration (median 541 hrs) on FISH results, as compared with
routinely fixed cases.
2.4.3 Fixation protocols
The tumor tissues were divided into two groups: archived samples less than 12
months’ duration and archived samples more than 12 months’ duration. Paraffin sections
cut from the stored paraffin blocks were subjected to routine and modified FISH protocols
(Table 9).
Table 9 Different protocols of protein digestion and pretreatments used for groups
Modified Protocols
Protocol I
Protease 5mg/ml, for 1 hr; NaSCN at 80˚c for 30mins
Protocol II
Protease 1.5mg/ml, for 2hrs; NaSCN at 80˚c for 30mins
Protocol III
Protease 1.5mg/ml, for 2.5hrs; NaSCN at 80˚c for 30mins
Protocol IV
Protease 1.25mg/ml, for 1hr; NaSCN at 80˚c for 30mins
Protocol V
Protease 0.5mg/ml, for 40mins; NaSCN at 80˚c for 1hr
Protocol VI
Protease 0.5mg/ml, for 40mins; NaSCN at 80˚c for 30 mins
2.4.4 Microwave oven fixation
In this arm, tumor tissue from 7 cases was divided into two groups. One group was
fixed in 10% buffered formaldehyde hastened by microwave oven heating at 55˚C for 2.5
minutes and the other group was fixed in 10% buffered formalin for durations ranging
from 12 to 27 hrs before paraffin-embedding.
2.4.5 Hybridization procedure
2.4.5.1 Sectioning, dewaxing and rehydration
Three µm thick sections were cut for FISH analysis and mounted on glass slides
coated with silane (3-aminopropyltriethoxysilane, Sigma). Briefly, slides were heated
overnight (56oC). The sections were deparaffinized and pretreated to facilitate probe
permeability using a Pretreatment Kit (Vysis, Downers Grove, IL) according to
manufacturer’s instructions with minor modifications. This was followed by de-waxing in
xylene for 10 min (3 changes), then rehydrated in absolute alcohol for 5 min (2 changes)
and then air dried.
2.4.5.2 Acid treatment and pretreatment with sodium thiocyanate
Air dried slides were treated with 0.2N HCl for 20 min at room temperature (RT).
The slides were then immersed in deionised water for 1 min and then washed in buffer
for 3 min. This was followed by incubation in 1M sodium thiocyanate in 2XSSC (0.5M
NaCl, 0.015M sodium citrate) at 80oC for 30 min, followed by immersion in deionised
water for 1 min, and in wash buffer for 5 min (2 changes).
2.4.5.3 Protein digestion
The slides were digested with protease (0.5 mg/ml) for 30 min at 37oC then,
immersed in wash buffer for 5 min (2 changes) and then air dried.
2.4.5.4 Detergent treatment and dehydration
Slides are soaked in detergent solution (0.5% Tween-20 in 2X SSC, pH 7) at 37˚C
for 40 min then dehydrated via a series of graded alcohols (70%, 85%, 95%, 100%, and
100%) for 2 min each. Then the slides are air dried and subjected to probe protocols. The
pretreatment protocols were modified according to the categories and groups studied.
2.4.5.5 Probe protocol
In situ hybridization was performed using the PathVysion HER2 DNA Probe Kit
(Vysis, Downers Grove, IL) (Selvarajan et al. 2002). 3µl of the hybridization solution
containing the probe (LSI/CEP17) was applied to the treated slides and the areas were
covered with 12mm diameter coverslips and sealed with rubber solution. The slides were
then placed in a slide thermocycler (Hybaid Omnislide) programmed to co-denature the
probe and target the DNA. Slides were incubated with hybridization solution at 75oC for
5 min, and subsequently at 38oC for 16 hr overnight.
2.4.5.6 Post-hybrid wash and mounting
After overnight incubation the slides were taken out of the thermocycler and the
cover slips were peeled off the seal. The slides were washed 2 times in 0.1% NP-40 in
0.5X SSC at 70˚C for 3 min, then washed in wash buffer at RT for 2 min, counterstained
in DAPI (0.1 g/ml in 2 x SSC), then mounted with antifade (Vectashield) and bordered
with nail polish.
2.4.6 Quantification of FISH signals
Once the slides were hybridized and post-hybridization washes done, they were
mounted with antifade (Vectashield) and viewed under an epifluorescence microscope
(Olympus), with the images captured (CytoVision). Sixty nuclei were counted. Signal
enumeration was performed with the following conditions: overlapping nuclei were
excluded and split signals were counted as 1 chromosome component (Hoang et al.,
2000). Stromal and inflammatory cells were excluded from analysis on the basis of the
morphologic features of their nuclei. The criteria for gene amplification were (a) >4
signals per cell and (b) the HER2/neu to CEP 17 ratio > 2 (Ellis et al., 2000; Ridolfi et al.,
2000).
2.5 Nuclear morphometry
2.5.1 Breast cancer tissues
Ninety-six cases were randomly selected for assessing nuclear morphometry. CerbB2 immunostained breast cancer tissues were used for analysis. Only the invasive
breast carcinoma component was included for the image cytometry and not the DCIS
component.
2.5.2 Image cytometry
Nuclear image analysis was performed on a light microscope (Axioplan, Zeiss),
equipped with a Carl Zeiss camera linked to a computer, using the Imagepro software.
Cell nuclei from digitized images were outlined using a mouse. For each case, a minimum
of 100 nuclei of cancer cells was randomly selected for morphometric analysis.
Morphometric parameters measured were nuclear area, nuclear perimeter, and roundness.
For comparison of nuclear size and shape between the two populations of stained and
unstained cells in each c-erbB2 positive case, 50 cells from each group were analyzed.
2.6 Statistical analysis
The results were analysed using the statistical software SPSS for Windows,
version 11 and the GraphPad Prism statistical Package.
Association of c-erbB2
membrane staining status with clinico-pathologic parameters like age group, tumor size,
histologic subtype, histologic grade stage lymphovascular invasion, nodal status, ER and
PR were analyzed using the Chi-square χ2 test. The Student’s paired t-test was performed
to compare means and Chi-square χ2 test for comparing proportions in FISH analysis. For
comparison of c-erB2 expression and nuclear morphometry, one-way ANOVA was
performed to compare means. Association of c-erbB2 membrane staining status with
biologic markers like Ki-67, iNOS and c-myc were analyzed using the Chi-square χ2 test.
Association of biological markers like Ki-67 and iNOS with clinico-pathologic markers
like ethnicity, tumor size, histologic subtype, histologic grade, lymphovascular invasion,
nodal status, ER, PR and p53 were analyzed using the Chi-square χ2 test. Overall survival
curves were calculated using the method of Kaplan and Meier and differences between
the curves were analyzed by the log-rank test. P 50
Ethinicity
Chinese
Malay
Indian
Tumor size
≤ 20mm
> 20mm
Histologic subtype
IDC
Others
Histologic Grade
Grade 1
Grade 2
Grade 3
Staging
Stage 1
Stage 2
Stage 3
Stage 4
Lymphovascular
Invasion
Present
Absent
Nodal status
Negative
Positive
321*
134
181
271
23
14
116
181
266
55
46
132
127
68
192
28
7
92
227
162
133
ER
Negative
Positive
107
211
PR
Negative
Positive
* Missing values range from 2 to 26
169
149
Fig. 4 A histologic grade 1 tumor showing predominant tubules with mild to moderately
pleomorphic nuclei and hardly any mitoses ( H & E stain, Original magnification x 310).
Fig. 5 A histological grade 2 tumor showing the presence of trabeculae with scanty
tubules, moderately pleomorphic nuclei and few mitoses. (H & E stain, Original
magnification x 310).
Fig. 6 A histological grade 3 tumor displaying no tubules and nuclei which are irregular
in size and shape and mitoses are obvious. (H & E stain, Original magnification x 310).
3.2 Hormone receptor status
As evaluated by immunohistochemistry in histopathologically diagnosed cases of
invasive ductal breast carcinoma, 66.4% of the tumors were ER positive and 46.9% were
PR positive (Table 11). Examples of ER and PR positive immunostaining are shown in
Fig 7 and Fig 8 respectively.
Table 11 Hormone receptor status in invasive breast carcinoma
PR+
PR-
Total
ER+
137
74
211
ER-
12
95
107
Total
149
169
318
Fig. 7 Invasive ductal breast carcinoma showing strong nuclear positivity for ER in
cancer cells. (Hematoxylin counterstain; Original magnification x 310).
Fig. 8 Invasive ductal breast carcinoma showing strong positive reactivity of the nuclei
for PR. (Hematoxylin counterstain; Original magnification x 310).
3.3 C-erbB2 detection
3.3.1 C-erbB2 immunostaining at protein level-Immunohistochemistry (IHC)
C-erbB2 immunopositivity was detected in 110 (34.3%) cases, with 208 (64.8%)
cases defined as negative. The distribution of the different immunostaining intensities of
c-erbB2 in this study is shown in Fig 9. In 3 cases (1%), the staining was indeterminate as
the adjacent benign breast tissue was also stained.
Frequency
200
100
0
0
1+
2+
Intensity
Fig. 9 Intensity of c-erbB2 immunostaining in all patients.
3+
The different patterns of immunostaining are shown in Figures 10-13. A
component of ductal carcinoma in situ was found in 30% to 40% of cases (Fig 14). CerbB2 expression was also present in the in situ cancer cells, with similar staining
distribution and intensity as the surrounding invasive elements.
Fig. 10 C-erbB2 immunostaining of invasive ductal breast cancer tissues. Negative
control. (Haematoxylin counterstain; Original magnification x 400).
Fig. 11 C-erbB2 immunostaining of invasive ductal breast carcinoma. 1+ staining
(considered negative). (Haematoxylin counterstain; Original magnification x 310).
Fig. 12 C-erbB2 immunostaining of invasive ductal breast carcinoma. 2+ positive
staining. (Haematoxylin counterstain; Original magnification x 310).
Fig. 13 C-erbB2 immunostaining of invasive ductal breast carcinoma. 3+ positive
staining. (Haematoxylin counterstain; Original magnification x 310).
Fig. 14 Ductal Carcinoma in situ component (shown in arrows) of invasive ductal breast
carcinoma . (H & E stain; Original magnification x 80).
3.3.2 C-erbB2 amplification at gene level-Fluorescence in situ hybridization (FISH)
A total of 98 cases were subjected to FISH for detection of c-erbB2 gene
amplification. All the cases were grouped into three arms based on specific criteria as
elaborated in the methods.
3.3.2.1 C-erbB2 gene amplification and fixation duration
The purpose of this arm was to ascertain if variations in fixation duration in
buffered formalin had any impact on the reliability of HER2/neu amplification results
obtained via FISH. Out of 35 cases, two sets of tumor tissues from each case were
allotted into three groups. There was no significant difference in detection of FISH
signals with respect to the 12 hour or 27 hour fixation protocols in the first group (P =
0.476, Table 12, Fig 15 and 16.) indicating that the range of fixation times used routinely
in the surgical pathology laboratory did not affect FISH results. Out of 4 amplified cases
in this group, 2 cases revealed very high levels of gene amplification as shown by the
HER2/neu-CEP17 ratio of 13.24, 10.6 and 14.65, 9.5 for the 12 hr and 27 hr fixation
protocols, respectively. In the second group, there was also no significant difference in
FISH results between the 2 hr or 17.5 hr fixation protocols (P = 0.151, Table 13, Fig 17
and 18). In the third group, signals were detected in all 6 cases in the 28.5 hr fixation
protocol but only 2 cases showed signals in the extended duration fixation protocol (cases
1 and 2, Table 14, Fig19 and 20).
Table 12 C-erbB2 (HER2/neu) FISH and immunostaining of formalin fixed breast cancer
tissues (12 hrs and 27 hrs) in group 1
12 HRS
27 HRS
RATIO
RATIO
NA
1.054
1.29
POS
2+
2
NA
1.008
1.008
NEG
0
3
NA
1.134
1.102
POS
2+
4
NA
1.155
1.095
NEG
0
6
A
2.366
2.445
POS
3+
7
NA
1.016
1.032
POS
2+
8
NA
1.00
1.057
POS
2+
9
NA
1.008
1.039
NEG
0
10
NA
1.015
1.064
POS
2+
11
NA
1.2
1.2
NEG
0
12
A
13.238
14.651
POS
3+
13
NA
1.058
1.074
NEG
1+
14
NA
1
1.043
NEG
0
15
A
10.6
9.5
POS
3+
16
NA
1.049
1.107
POS
2+
17
A
2.451
2.58
POS
3+
18
NA
1.04
1.056
NEG
1+
19
NA
1.069
1.102
NEG
0
20
NA
1.339
1.627
NEG
0
21
NA
1.378
1.482
NEG
0
S.NO
FISH
1
IHC
IHC
SCORES
A- amplified; NA- not amplified; POS-positive; NEGnegative. RATIO-ratio of HER2/neu to CEP17 signals.
Fig. 15 FISH post 12 hr fixation. The green signal shows presence of centromere 17
copies while the red signal represents multiple copies of the c-erbB2 (HER2/neu) gene.
Original magnification x 100 objective.
Fig. 16 FISH post 27 hr fixation. The green signal shows presence of centromere 17
copies while the red signal represents multiple copies of the c-erbB2 (HER2/neu) gene.
Original magnification x 100 objective.
Table 13 C-erbB2 (HER2/neu) FISH and immunostaining of formalin fixed breast cancer
tissues (2 hrs and 17.5 hrs) in group 2
2 HRS
17.5 HRS
RATIO
RATIO
NA
1.146
1.133
NEG
0
2
A
2.031
2.019
POS
2+
3
NA
1.065
1.094
NEG
0
4
NA
1.057
1.073
NEG
0
5
NA
1.041
1.041
NEG
0
6
A
2.295
2.16
POS
2+
7
NA
1.124
1.08
NEG
0
8
A
5.206
5.058
POS
2+
S.NO
FISH
1
IHC
IHC
SCORES*
A- amplified; NA- not amplified; POS-positive;
NEG-negative.RATIO-ratio of HER2/neu to CEP17
signals. * 0 – No staining is observed in tumor cells;
2+ - A weak to moderate complete membrane
staining is observed in >10% of tumor cells.
Fig. 17 FISH post 2 hr fixation. The green signal shows presence of centromere 17 copies
while the red signal represents multiple copies of the c-erbB2 (HER2/neu) gene. Original
magnification x 100 objective.
Fig. 18 FISH post 17.5 hr fixation. The green signal shows presence of centromere 17
copies while the red signal represents multiple copies of the c-erbB2 (HER2/neu) gene.
Original magnification x 100 objective.
Table 14 C-erbB2 (HER2/neu) FISH and immunostaining of formalin fixed breast cancer
tissues (28.5 hrs and 541 hrs) in group 3
28.5 HRS
541 HRS
RATIO
RATIO
A
6.06
4.27
POS
2+
2
NA
1.025
1.025
NEG
0
3
NA
1.176
***
NEG
0
4
NA
1.363
***
NEG
0
5
NA
1.192
***
NEG
0
6
A
4.085
***
POS
2+
S.NO
FISH
1
IHC
IHC
SCORES
A- amplified; NA- not amplified; ***-no signals;
POS-positive; NEG-negative. RATIO-ratio of
HER2/neu to CEP17 signals. * 0 – No staining is
observed in tumor cells; 2+ - A weak to moderate
complete membrane staining is observed in >10% of
tumor cells.
Fig. 19 FISH post 28.5 hr fixation. The green signal shows presence of centromere 17
copies while the red signal represents multiple copies of the c-erbB2 (HER2/neu) gene.
Original magnification x 100 objective.
Fig. 20 FISH post extended duration of fixation. The green signal shows presence of
centromere 17 copies while the red signal represents multiple copies of the c-erbB2
(HER2/neu) gene. Original magnification x 100 objective.
3.3.2.2 C-erbB2 gene amplification and fixation protocols
The purpose of this arm was to evaluate the effect of different protocols in the
retrieval of fluorescent signals from FISH analysis of the c-erbB2 gene in archival
paraffin-embedded breast cancer tissue blocks. 63 archival paraffin-embedded breast
cancer tissue blocks were grouped into two: archived samples less than 12 months’
duration and archived samples more than 12 months’ duration. All the archived
specimens less than 12 months’ duration (mean 5.8 months; median 3.5 months)
exhibited hybridization signals with the routine protocol (Table 15; Fig 21). In the group
where the specimens were archived for more than 12 months’ duration (mean 47 months,
median 49.5 months), we obtained signals in 10 specimens after manipulating the
treatment procedure (Table 16; Fig 22). No fluorescent signals were detected with the rest
of the 40 specimens even after attempting two protocols.
Table 15 C-erbB2 (HER2/neu) FISH of formalin fixed paraffin-embedded archival breast
cancer tissues of less than 12 months’ durationa
CASE
NO
DURATION
IN MONTHS
PROTOCOL
FISH
RATIO
1
11.5
Routine
A
2.58
2
5.0
Routine
A
4.69
3
7.5
Routine
A
8.8
4
10.2
Routine
A
7.88
5
10.2
Routine
NA
1.10
6
8.4
Routine
A
8.50
7
3.4
Routine
NA
1.16
8
2.6
Routine
NA
1.24
9
2.9
Routine
NA
1.08
10
3.5
Routine
NA
1.10
11
3.5
Routine
A
3.16
12
3.5
Routine
A
3.84
13
3.2
Routine
A
3.19
a
A, amplified; NA, not amplified; RATIO, ratio of
HER2/neu to CEP17 signals.
Fig. 21 FISH of archival paraffin-embedded breast cancer tissues stored less than
12months’. Green signals show presence of centromere 17 copies and red signals
represent multiple copies of c-erbB2 (HER2/neu) gene. Original magnification x 100
objective.
Table 16 C-erbB2 (HER2/neu) FISH of formalin fixed paraffin-embedded archival breast
cancer tissues of more than 12 months’ durationa
CASE
NO
DURATION
IN MONTHS
1
83.7
PROTOCOL
I
FISH
RATIO
NA
1.26
2
64.9
V
A
5.3
3
56.9
VI
NA
1.7
4
57.9
III
A
5.9
5
54.8
II
A
4.2
6
24.5
VI
A
9.0
7
12.6
IV
A
3.37
8
53.7
VI
A
5.8
9
37.5
I
A
10.5
10
30.9
VI
A
8.8
11 - 30
23.6 - 87.2
Routine and I
***
-
31 - 40
38.1 - 56.6
Routine and VI
***
-
41 - 50
27.8 - 45.9
Routine and V
***
-
a
A, amplified; NA, not amplified; ***, no signals;
RATIO, ratio of total HER2/neu to total CEP17
signals.
Fig. 22 FISH of archival paraffin-embedded breast cancer tissues stored more than 12
months’duration (B). Green signals show presence of centromere 17 copies and red
signals represent multiple copies of c-erbB2 (HER2/neu) gene. Original magnification x
100 objective.
3.3.2.3 C-erbB2 gene amplification and microwave oven fixation
In this arm, there was no significant difference in the detection of FISH signals
with respect to the microwave oven or routine fixation protocols in the 7 breast cancer
cases (P = 0.637, Table 17).
Table 17 C-erbB2 (HER2/neu) FISH of formalin fixed breast cancer tissues (microwave
oven and routine fixation)a
a
CASE
NO
FISH
MICROWAVE
OVEN
FIXATION
RATIO
ROUTINE
FIXATION
RATIO
1
NA
1.15
1.16
2
NA
1.20
1.24
3
NA
1.11
1.08
4
NA
1.10
1.11
5
A
3.28
3.16
6
A
3.47
3.84
7
A
3.26
3.19
A, amplified; NA, not amplified; Pos,
positive; Neg, negative; RATIO, ratio
of total HER2/neu signals to total
CEP17 signals.
3.3.3 Correlation of c-erbB2 protein overexpression and gene amplification
35 cases in the first arm were used to compare the gene amplification and protein
overexpression of c-erbB2. In cases where FISH signals were detected, there was a
positive correlation between c-erbB2 gene amplification by FISH and protein expression
by immunohistochemistry (P = 0.0002) in all the groups. All tissues with 3+ IHC staining
disclosed c-erbB2 amplification, (Fig 23) whereas those with negative immunostaining (0
and 1+ IHC staining) showed no c-erbB2 gene amplification (Table 12, 13, 14). There
was no gene amplification detected in the 6 immunopositive cases with 2+ IHC staining
in group 1 of the first arm (Table 12), while in the other groups (Table 13, 14), it showed
gene amplification in 2+ IHC cases.
Fig. 23 FISH post (A) 12 and (B) 27 hr fixation. The green signal shows presence of
centromere 17 copies while the red signal represents multiple copies of the c-erbB2
(HER2/neu) gene. (C)Immunostaining for c-erbB2 (HER2/neu) (3+), showing a
complete, intense membranous pattern of positivity. Original magnification X 400.
3.4 Association of c-erbB2 overexpression with nuclear morphometry
For nuclear morphometry, c-erbB2 positive and negative tumors differed
significantly only in nuclear roundness, with malignant cells in c-erbB2 positive cases
being less round (P = 0.0322, Table 18) (Fig. 24 & 25). There was no statistically
significant difference in nuclear morphometry findings between immunopositive versus
immunonegative malignant cells in the c-erbB2 positive cancers. When analyzing the
association of nuclear morphometric data in relation to histopathologic parameters in the
group of c-erbB2 positive breast cancers, there was a significant difference in (a) nuclear
area and perimeter between histological grade 3 and histologic grade 1 and 2 (P = 0.001
and P = 0.03 respectively) and (b) nuclear perimeter between tumor size ≤ 20 mm and
tumor size > 20 mm (P = 0.046) (Table 19).
Table 18 Nuclear morphology of cancer cells in c-erbB2 positive and c-erbB2 negative
tumors
C-erbB2 positive
tumors
C-erbB2 negative
P-value
tumors
Area*(µm)
119.2 ± 5.6
116.2 ± 5.1
0.7039
Perimeter*
(µm)
41.91 ± 1.0
41 ± 0.9
0.5192
Roundness*
1.23 ± 0.009
1.2 ± 0.009
0.0322
* values are mean ± SD
Fig. 24 Nuclei of c-erbB2 positive invasive ductal carcinoma digitally outlined using a
computer mouse. Note that most of the nuclei are not so round or oval as in c-erbB2
negative patients. (IHC staining; Original magnification x 400).
Fig. 25 Nuclei of c-erbB2 negative invasive ductal carcinoma digitally outlined using a
computer mouse. Note that most of the nuclei are round or oval in configuration. (IHC
staining; Original magnification x 400).
Table 19 Nuclear morphology of malignant cells with respect to clinico-pathologic
markers of prognosis in c-erbB2 positive breast tumors
Histologic
grade
Tumor size
LV Invasion
Node status
ER
PR
Area1
(µm2)
Perimeter1
(µm)
Roundness1
(µm)
Feret Ratio2
Grade 1 or 2
107.56* ± 35.68
39.62* ± 7.87
1.2 ± 0.17
1.44
Grade 3
142.36*± 47.55
44.6* ± 9.62
1.2 ± 0.18
1.47
≤ 20mm
110.76 ± 36.23
39.31* ± 7.29
1.2 ± 0.16
1.47
> 20mm
133.99 ± 45.43
44.05* ± 9.7
1.19 ± 0.17
1.42
Yes
122.22 ± 44.54
41.97 ± 9.13
1.28 ± 0.2
1.45
No
115.33 ± 37.2
40.88 ± 8.16
1.2 ± 0.16
1.45
Neg
119.06 ± 35.7
41.12 ± 8.06
1.2 ± 0.16
1.47
Pos
126.62 ± 45.48
42.93 ± 9.82
1.19 ± 0.18
1.41
Neg
125.8 ± 47.26
42.36 ± 9.39
1.2 ± 0.17
1.47
Pos
113.97 ± 34.49
40.57 ± 8.04
1.2 ± 0.18
1.43
Neg
117.32 ± 40.83
40.89 ± 8.43
1.2 ± 0.17
1.47
Pos
118.13 ± 64.04
41.58 ± 8.49
1.21 ± 0.18
1.43
1 – Values are Mean ± SD; 2 – Ratio;
*-- P < 0.05
3.5 Association of c-erbB2 overexpression with established clinicopathological and
biological markers
3.5.1 Association of c-erbB2 overexpression and hormone receptor status
A significant negative association between c-erbB2 expression and ER and PR
status was noted (P = 0.0001; Table 20 and 21).
Table 20 Association of c-erbB2 overexpression and ER status
ER
Total
Negative
Positive
C-erbB2 -
53
152
205
C-erbB2 +
53
57
110
Total
106
209
315
P-value
0.0001
Table 21 Association of c-erbB2 overexpression and PR status
PR
Total
Negative
Positive
C-erbB2 -
94
111
205
C-erbB2 +
74
36
110
Total
168
147
315
P-value
0.0001
3.5.2 Relationship between c-erbB2
parameters in invasive breast carcinoma
overexpression
and
clinicalpathological
Immunohistochemical expression of c-erbB2 protein and other clinicopathological parameters in a series of Singapore women with invasive breast carcinoma
are documented in Table 22. The findings were correlated with pathologic parameters
such as age at diagnosis, tumor size, histologic subtype, histologic grade, pathological
stage, lymphovascular invasion and lymph node status (Table 22).
3.5.2.1 Association of c-erbB2 overexpression and histological grade
There was a significantly higher c-erbB2 overexpression in histological grade 3
tumors than in histological grade 1 and 2 tumors.
3.5.2.2 C-erbB2 overexpression and other clinicopathological factors
There was no statistically significant difference in c-erbB2 overexpression with
regard to patient age, histologic subtype, lymphovascular invasion, pathologic stage,
axillary lymph node status and tumor size.
Table 22 Correlation between c-erbB2 overexpression and clinicopathological parameters
C-erbB2 immunoexpression (%)
Parameter
No. of Patients
Total
Age group
≤ 50
> 50
Ethinicity
Chinese
Malay
Indian
Tumor size
≤20mm
>20mm
Histologic subtype
IDC
Others
Histologic Grade
Grade 1
Grade 2
Grade 3
Staging
Stage 1
Stage 2
Stage 3
Stage 4
Lymphovascular
Invasion
Present
Absent
Nodal status
Negative
Positive
* Missing values range from 2 to 26
Positive
P-value
134
181
50(37.3)
60(33.2)
0.443
271
23
14
86(31.7)
13(56.5)
8(57.1)
116
181
24(20.7)
44(24.3)
0.087
266
55
96(36.1)
14(25.5)
0.142
46
132
127
12(26.1)
37(28)
55(43.3)
68
192
28
7
15(22.1)
70(36.5)
11(39.3)
3(42.9)
92
227
35(38)
75(33)
0.386
162
133
50(30.9)
46(34.6)
0.569
321*
-
0.017
0.142
3.5.3 C-erbB2 overexpression with Ki-67(cell proliferation index)
The percentage of Ki-67 immunostaining (KI) detected in the 72 cases ranged
from nil to 80%. An example of Ki-67 positive stained breast cancer section along with
negative control is shown in Fig 26 and 27.
There was no siginificant association between c-erbB2 overexpression and Ki-67
(Table 23).
Table 23 Association of c-erbB2 overexpression with Ki-67
Ki-67
Negative
Positive
Positive
Positive
≤ 5%
6 -10%
> 10%
Total
C-erbB2 -
8
15
4
27
54
C-erbB2 +
3
2
2
10
17
Total
11
17
6
37
71
P-value
0.586
Fig. 26 Positive Ki67 immunostaining showed nuclear positivity of the proliferating
cancer cells of invasive breast carcinoma. (Hematoxylin counterstain; Original
magnification x 310).
Fig. 27 Negative control (by omission of primary antibody) showed no Ki67
immunostaining of the cancer cells of invasive breast carcinoma. (Hematoxylin
counterstain; Original magnification x 310).
3.5.4 C-erbB2 overexpression with iNOS
Cells with more than 10% cytoplasmic staining for iNOS were considered
positive. Out of 72 cases, 34 (47.2%) were considered positive and the rest were negative.
An example of a strong iNOS positive section is shown in Fig 28, along with a negative
control (Fig 29).
There was no significant correlation between c-erbB2 overexpression and iNOS
expression (Table 24).
Table 24 Association of c-erbB2 overexpression with iNOS immunoreactivity
iNOS
Total
Negative
Positive
C-erbB2 -
31
23
54
C-erbB2 +
7
10
17
Total
38
33
71
P-value
0.242
One case has no c-erbB2 value so is not
included in the analysis
Fig. 28 iNOS immunostaining showed strong cytoplasmic positivity of the cancer cells of
invasive breast carcinoma. (Hematoxylin counterstain; Original magnification x 310).
Fig. 29 Negative control showed no iNOS immunostaining of the cancer cells of invasive
breast carcinoma. (Hematoxylin counterstain; Original magnification x 310).
3.5.5 C-erbB2 overexpression with c-myc
The expression of c-myc was studied in 34 cases of invasive breast carcinoma.
Cells with more than 10% cytoplasmic staining were considered positive. All carcinomas
showed positive cytoplasmic staining except two cases. An example of an
immunopositive section is shown, along with negative control in the Fig 30 and 31.
C-myc gene expression did not show any association with c-erbB2
overexpression, (Table 25).
Table 25 Association of c-erbB2 overexpression with c-myc
c-myc
Total
Negative
Positive
C-erbB2 -
2
17
19
C-erbB2 +
-
15
15
Total
2
32
34
P-value
0.195
Fig. 30 Positive c-myc immunostaining showed nuclear as well as cytoplasmic positivity
of the cancer cells of invasive breast carcinoma. (Hematoxylin counterstain; Original
magnification x 310).
Fig. 31 Negative control showed no c-myc immunostaining of the cancer cells of invasive
breast carcinoma. (Hematoxylin counterstain; Original magnification x 310).
3.5.6 Association of biological markers with clinicopathological parameters in invasive
breast carcinoma
Clinicopathological
data
in
72
cases
which
were
subjected
to
immunohistohemical evaluation of Ki-67, iNOS and c-myc are shown in Table 26. Cases
with missing values are eliminated from the statistical analysis. Univariate analysis of the
association between clinicopathological parameters and these markers is displayed in
Table 27.
3.5.6.1 Ki-67
Ki-67 showed a positive association with histologic grade and histologic
subtypes. Remaining parameters did not have any correlation with cell proliferation.
Histologic grade 3 tumors and invasive ductal carcinoma subtypes had higher
proliferation indices than lower grade tumors and other histologic subtypes.
3.5.6.2 iNOS
iNOS expression showed a positive correlation with lymph node status. 84.5%
had axillary lymph node metastasis in those cases which showed iNOS expression
(22/26). None of the other parameters had any association with iNOS expression.
3.5.6.3 C-myc
C-myc protein expression did not show any association with any of the
clinicopathological markers.
Table 26 Distribution of clinicopathological parameters and biological markers
Parameter
Classification
Total Patients
Age
Median
Mean
Range
Ethnicity
Tumor size
Chinese
Malay
Indian &
Others
≤25mm
>25mm
Histologic subtype
Ductal
Others
Histological grade
I
II
III
Lymphovascular invasion
Present
Not present
Lymph node status
Positive
Negative
Stage
C-erbB2
I
II
III
IV
Positive
Negative
Ki-67
0- 5%
5-10%
> 10%
iNOS
Positive
Negative
No. of patients
(%)
72*
54
55.35
36-85
60 (3.3%)
8 (11.1%)
4 (5.6%)
24 (35.8%)
43 (64.2%)
62 (86.1%)
10 (13.9%)
10 (14.3%)
34 (48.6%)
26 (37.1%)
40 (57.1%)
30 (42.9%)
19 (33.3%)
38 (66.7%)
7 (13.3%)
35 (66%)
6 (11.3%)
5 (9.4%)
17 (23.9%)
54 (76.1%)
28 (38.9%)
6 (8.3%)
38 (52.8%)
34(47.2%)
38 (52.8%)
*-Not all 72 cases are reflected in all parameters. Cases
with missing values are removed from statistical analysis.
Table 27 Univariate analysis of biological markers and clinicopathological parameters in
breast carcinoma
Ki-67
(P-value)
iNOS
(P-value)
0.5
0.343
0.078
0.475
Histologic
subtype
0.038*
0.24
Histological
grade
0.007*
0.423
Lymphovascular
invasion
0.675
0.782
Lymph node
status
0.882
0.008*
0.714
0.797
0.13
0.928
0.214
0.42
0.119
0.424
Parameters
Ethnicity
Tumor size
Stage
ER
PR
p53
*-statistically significant values (P < 0.05).
Invasive ductal subtype and histological grade
3 breast cancers expressed higher Ki-67 levels.
3.6 Follow up and survival analysis
3.6.1 Kaplan-Meier survival analysis
In the 290 women with mean and median follow-up of 18 months and 17 months
respectively, 15 deaths from breast carcinoma (5.2%) were documented. The OS for cerbB2 positive and c-erbB2 negative patients is illustrated in Fig 32, with mean survival
of 43 months for c-erbB2 positive patients and 45 months for c-erbB2 negative ones. This
difference in OS is statistically significant (P = 0.0166), indicating an adverse prognosis
for the c-erbB2 positive cases. A similar trend was noted for DFS with mean survival of
10 months before detection of recurrence for c-erbB2 positive patients and 11 months for
c-erbB2 negative ones, although the difference did not reach statistical significance (P =
0.7013) (figure not shown). Different combinations of tumor characteristics for possible
additive prognostic capacities were also investigated. In the node positive group,
statistically significant difference was observed in OS for c-erbB2 negative patients
compared to c-erbB2 positive patients, with mean survival period of 40 months and 48
months respectively (P=0.0047; Fig 33). Patients with histologic grade 1 and 2 tumors
experienced improved OS for c-erbB2 negative tumors compared to c-erbB2 positive
ones, with mean survival of 46 months and 42 months respectively (P = 0.0367; Fig 34).
When c-erbB2 and estrogen receptor (ER) status were combined, c-erbB2 status had a
negative effect on the prognosis of the estrogen receptor (ER) positive group with OS
curves of c-erbB2 positive and negative patients within the ER positive subset differing
significantly, with a mean survival period of 40 months and 47 months respectively (P =
0.0092; Fig 35). C-erbB2 expression did not have any effect on OS in the estrogen
receptor negative group of cases and in women aged ≤ 50 years. In those > 50 years of
age, the mean survival was 41 months for c-erbB2 positive patients and 47 months for cerbB2 negative ones, a statistically significant difference (P = 0.0096; Fig 36).
1.1
1.0
c-erbB2 -ve
Overall Survival (Proportion)
.9
c-erbB2 +ve
.8
.7
.6
.5
.4
.3
P = .0166
.2
.1
0
6
12
18
24
30
36
42
48
54
60
Survival time in months
Fig. 32 Kaplan-Meier curves for overall survival (OS) with regard to c-erbB2
overexpression (n = 290).
1.1
1.0
c-erbB2 -ve
Overall Survival (Proportion)
.9
c-erbB2 +ve
.8
.7
.6
.5
.4
.3
P = .0047
.2
.1
0
6
12
18
24
30
36
42
48
54
60
Survival time in months
Fig. 33 Kaplan-Meier curves for overall survival (OS) stratified by c-erbB2 status, in
patients with node-positive tumors (n = 118).
1.1
Overall Survival (Proportion)
1.0
.9
c-erbB2 -ve
c-erbB2 +ve
.8
.7
.6
.5
.4
.3
P = .0367
.2
.1
0
6
12
18
24
30
36
42
48
54
60
Survival time in months
Fig. 34 Kaplan-Meier curves for overall survival (OS) stratified by c-erbB2 status, in
patients with histologic grade 1 and 2 tumors (n = 109).
1.1
1.0
Overall Survival (Proportion)
c-erbB2 -ve
.9
.8
c-erbB2 +ve
.7
.6
.5
.4
.3
P = .0092
.2
.1
0
6
12
18
24
30
36
42
48
54
60
Survival time in months
Fig. 35 Kaplan-Meier curves for overall survival (OS) stratified by c-erbB2 status, in
patients with ER positive tumors (n = 185).
1.1
Overall Survival (Proportion)
1.0
c-erbB2 -ve
.9
.8
c-erbB2 +ve
.7
.6
.5
.4
.3
P = .0096
.2
.1
0
6
12
18
24
30
36
42
48
54
60
Survival time in months
Fig. 36 Kaplan-Meier curves for overall survival (OS) stratified by c-erbB2 status, in
patients in age group > 50 years (n = 159).
3.6.2 Multivariate Cox regression analysis
Multivariate analysis by Cox regression model showed c-erbB2 overexpression to
be an independent predictor of overall survival (P = 0.029; Table 28) when histologic
grade, nodal and ER status were considered. However, when tumor size and pathologic
stage were included in the multivariate analysis, c-erbB2 lost its independent prognostic
power.
Table 28 Multivariate analysis of important prognostic factors for their relationship with
overall survival
Prognostic variables
P-value
C-erbB2
0.029
ER
0.443
Histologic Grade
0.831
Nodal status
0.995
CHAPTER 4
DISCUSSION
4.1 C-erbB2 (HER2/neu) status in invasive breast carcinoma
4.1.1 Brief overview of c-erbB2 assessment
A wide range of assay methods have been used to detect Her2/neu or c-erbB2
status in breast cancer. Each technique has its own advantages and disadvantages, some
of which are summarized in Table 29.
Table 29 Comparison of methods used to detect c-erbB2 status (modified from Perez et
al., 2002; Schnitt, 2001; Dowsett et al., 2000; Molina et al., 1996)
Methods
Advantages
Disadvantages
Detects protein overexpression.
Not a standardized technique.
Relatively simple method that can be
performed on sections cut from paraffin
embedded or frozen tissues.
Sensitivity and specificity may vary for different
antibodies.
Controls need to be used for every run.
IHC
Procedure time is very short and can be
accomplished in any laboratory.
No standardized scoring system.
No expert training required.
Automation is applicable.
FDA approved for therapy.
Cost effective.
Detects gene amplification.
Longer procedure time.
Can be applied to paraffin embedded or frozen
tissues.
FISH
Needs expert training for the procedures.
Internal controls.
Special instruments and reagents needed to interpret
and proceed.
Quantitative assessment.
Difficult to accomplish in all laboratories.
Expensive and no automation.
Southern
blot
Detects gene amplification.
Expert training needed.
Good sensitivity and specificity.
Not an easy procedure.
No FDA approval.
Detects
serum).
ELISA
(serum)
protein
overexpression
(shed
in
No automation
Cannot perform on slides.
No FDA approval.
Highly sensitive and specific.
No automation.
Standardized technique.
4.1.2 C-erbB2 protein overexpression by Immunohistochemistry (IHC)
Immunohistochemistry is one of the most widely used tools for research and
diagnosis. The practice of immunohistchemistry originated with Albert H. Coons and his
colleagues in the early 1940’s (Polak and Van Noorden, 1997). One of the main
diagnostic uses of IHC is to determine the nature of tumors. IHC has been specifically
adapted and the most practical method to perform in the routine practice of pathology for
detection of c-erbB2 protein overexpression using specific antibodies (Schnitt, 2001;
Slamon et al., 1989; van de Vijver et al., 1988).
IHC has been used in the past to identify overexpression of c-erbB2 protein on the
cell membrane of breast cancer cells in fixed tissues. C-erbB2 protein detection in
archival paraffin-embedded tissues is highly variable or even compromised due to certain
factors. Factors which have to be considered are time and nature of tissue fixation;
method of tissue processing; temperature of paraffin embedding; duration of storage
(especially unstained slides); type of antibody used; and the staining procedure used
(Dowsett et al., 2000). Although different methods of antigen retrieval are used, it should
be optimized because high antigen retrieval may result in high rates of positivity and even
benign cells are also highlighted, whereas inadequate antigen retrieval may yield false
negative results (Lian and Tan, 2002).
Standardization of the procedures may be
preferable to obtain reliable results. Many antibodies for example CB-11 (monoclonal
antibody, Ventana), A0485 (polyclonal antibody, DAKO), Mab-1/Pab 1 (cocktail
antibody) and HercepTest are used by many laboratories world wide. Each antibody has
different levels of sensitivity and specificity. The HercepTest has high sensitivity and
specificity, and has been approved by FDA for therapeutic applications. There is still
debate on the reliability of IHC. The quality of IHC results can be improved by following
a few steps such as: (1) standardizing tissue fixation and processing; (2) use of
appropriate positive and negative controls; and (3) participation is external quality
assurance programmes.
The role of c-erbB2 oncoprotein overexpression in invasive breast cancer has
been widely investigated. C-erbB2 overexpression occurs in about a third of breast
tumors and is linked to an adverse prognosis (Fitzgibbons et al., 2000). There is still
controversy in the determination of immunopositivity of c-erbB2 status in invasive breast
carcinoma. One researcher has considered membrane staining of any intensity in any
malignant cell as indicating protein overexpression (Sjogren et al., 1998); yet another has
defined c-erbB2 positivity as only when “tumor cells showed intense circumferential cell
membrane staining easily identified with a 10X objective” (Jacobs et al., 2000). Ellis and
co-workers have recommended that if > 10% of breast tumor cells reveal moderate or
strong complete membrane reactivity, c-erbB2 expression is considered as positive on
immunohistochemistry using the HercepTest scoring method (Ellis et al., 2000). In this
present study, we have considered moderate (2+) or strong (3+) membrane staining
intensity in 10% or more of invasive carcinoma cells as positive.
Amplification or overexpression of c-erbB2 gene or protein has been reported by
several studies to occur in 10-40% of primary breast carcinomas (Cho et al., 2003;
Konigshoff et al., 2003; Hoff et al., 2002; Tsai et al., 2001; Hoang et al., 2000; Ross and
Fletcher, 1999; Ross et al., 1998; Odagiri et al., 1994; Slamon et al., 1987;). The rate of cerbB2 immunoexpression in our study was 34.3%, which is within the range reported for
breast cancers in the literature. Also in this present study, invasive ductal carcinoma
exhibited higher c-erbB2 immunopositivity (36.1%) compared to other types like invasive
lobular, invasive tubular, and others (25.5%). This is also in accord with that reported by
Smith et al (1994).
4.1.3 C-erbB2 gene amplification by Fluorescence in situ hybridization (FISH)
Fluorescence in situ hybridization is one of the most convenient assays currently
used to assess c-erbB2 gene amplification. There are many factors which may affect the
detection of fluorescent signals by FISH analysis. Technical limitations include the type
of fixative used, artifacts caused by sectioning of tissue blocks, thickness of sections,
storage of cut sections and probe penetration (Ellis et al., 2000; Gozetti et al., 2000;
Thomson et al., 1993).
In our surgical pathology laboratory, specimens are generally fixed in 10%
buffered formalin for a duration that varies from approximately 8 to 32 hours due to
inherent vagaries of surgical schedules. It would appear from our study that a fixation
period ranging from 2 hrs to 1 week would not affect FISH results. Beyond one week
however, no signals could be detected, with the exception of the highly amplified case 1
in group 3 (refer to “Results” chapter). Formalin fixation increases the complexity of
cellular structure and chromatin condensation making it difficult for the probe to
penetrate and interact with the target DNA (Thompson et al., 1994). It has been suggested
that generally, the longer the primary fixation, the permeabilization step of pretreatment
and enzyme digestion needs to be more aggressive (Pauletti and Slamon, 1999).
However, we obtained similar results for the different fixation protocols in all 3 groups in
this study even though we did not vary the permeabilization step, with the exception of 4
cases in the extended fixation protocol where no signals were obtained. Our finding is at
variance with that of Goelz et al (1985) who reported previously that DNA isolated from
formaldehyde fixed and embedded tissues was not affected by the length of time in
fixation.
FISH is a cytogenetic technique widely used to evaluate gene amplification and
other genetic aberrations in fresh tumor tissues. However, if FISH analyses could be
easily applied to archival paraffin-embedded tumor tissues from patients with known
clinical outcome, valuable information regarding the diagnostic and prognostic
significance of such aberrations would be facilitated (Hyytinen et al., 1994). FISH
analyses in archival paraffin wax embedded tissues have been performed for colon,
prostate, lung and breast cancer (Persons et al., 1994; Kim et al., 1993; Steiner et al.,
1993 Zitzelsberger et al., 1993; Arnoldus et al., 1991). Despite methodological and
technical advances, there are limitations to obtaining signals by FISH in archival
paraffin-embedded tissues as compared with fresh tumor tissues (Arnoldus et al., 1991).
Although several methods have been used for analysis of archival paraffin-embedded
tissues by FISH, they were only partially successful in many instances (Matsumura et al.,
1992; Hopman et al., 1991). The primary problems encountered are background tissue
fluorescence and the relatively weak intensity of the signals obtained (Dhingra et al.,
1992). Furthermore, the formalin fixation period, sample pretreatments, protein digestion
and denaturation have to be individually optimized for each sample.
It would appear that for the FISH procedure to be successful in archival paraffinembedded breast cancer tissues stored for more than 12 months, sections have to undergo
optimization of the pretreatment regime. For good results, pretreatment methods like
protease digestion and NaSCN incubations have to be optimized for each individual case.
Too short a digestion time yielded poor hybridization signals in most specimens, possibly
because of inaccessibility of the probe to the cell nuclei. On the other hand, excessive
protease digestion before hybridization may yield sufficient chromosome signals but with
distortion of the nuclear morphology. Despite the extensive variations in the pretreatment
protocol, we were not able to get clear hybridization signals that could be evaluated in a
reproducible and reliable way for all tissues that had been stored for more than 12 months.
There was also a tendency for auto-fluorescence in the archival paraffin-embedded
sections.
As microwave oven tissue fixation, which has been used in many laboratories to
shorten fixation time, was routinely used for fixation in many of our archived breast
cancer specimens, the effect of this fixation method on the retrieval of FISH signals was
also analyzed. The result shows that microwave oven fixation did not affect FISH signals.
Targeting c-erbB2 by antibody (Herceptin) as a cancer therapeutic modality is of
clinical importance. Integration of this assay into routine testing should help in
rationalization of the most appropriate therapy for individuals with breast cancer.
4.1.4 Concordance between c-erbB2 gene amplification and protein overexpression
The observation of a good concordance between FISH and immunohistochemistry
detection of c-erbB2 is in accord with those of other investigators (Couturier et al., 2000;
Hoang et al., 2000; Vang et al., 2000). The concordance rate was as high as > 80%
reported in literature (Perez et al., 2002; Ratcliffe et al., 1997). In this present study, 2+
IHC staining cases in the routine fixation protocol group showed no c-erbB2 (HER2/neu)
gene amplification but in the other groups, 2+ IHC staining cases showed gene
amplification. This is concordant with other studies done with larger samples. The c-erbB2
(HER2/neu) gene was reportedly amplified between 12% to 35% of such (2+ IHC) cases
(Perez et al., 2002; Kakar et al., 2000; Ridolfi et al., 2000). Possible reasons for the
disparity in results obtained by FISH and IHC analyses include transcriptional or posttranscriptional regulation for increased surface receptor expression in the absence of gene
amplification (Hoang et al., 2000) and intrinsic variability of the IHC assay in terms of
specimen processing and antigen retrieval (Wang et al., 2000). Studies show that only
distinct membranous immunostaining correlates with gene amplification and bears
prognostic value in breast cancer and the cytoplasmic immunostaining is without such
relevance (Lehr et al., 2001; Pegram and Slamon, 1999). Investigation in one study, which
compared the immunohistochemical and FISH methods for evaluation of c-erbB2 in breast
cancer, found that both techniques were equally good
and therefore, recommended
immunohistochemistry as a less time-consuming and expensive method for routine use in
laboratories (Jacobs et al., 1999). However, in view of problems associated with IHC,
particularly in the interpretation of results, FISH may provide additional useful information
for classification of tumors as c-erbB2 positive or negative (Jimenez et al., 2000).
4.2 C-erbB2 status and clinicopathological parameters
4.2.1 C-erbB2 overexpression and hormonal receptor status
Estrogen and progesterone play major roles in normal breast development, in
addition to breast carcinogenesis, by modifying the expression of a variety of genes
through their receptors (Jin et al., 2000; Celentano et al., 1998). Estrogen and progesterone
receptor status (both positive and negative) has been established as a predictive factor for
breast cancer treatment, recurrence and prognosis (Li et al., 2003; Chu et al., 2001).
Estrogen receptor (ER) and progesterone receptor (PR) status has also been validated as
factors which predict response to hormonal therapy (Ring and Ellis, 2002; Yokota et al.,
1999).
Reports have revealed an inverse relationship between the presence of ER and PR
and c-erbB2 overexpression (Schroeder et al., 1997; Descotes et al., 1993; Tsuda et al.,
1993)). This is in agreement with findings in this present study, where c-erbB2
overexpressed cases showed an inverse association with ER and PR positivity; ER
positive tumors being more likely to be c-erbB2 negative than were ER negative tumors
(74.1% versus 48.1%). A related finding of high levels of c-erbB2 being associated with
ER and PR negativity was reported by Pous et al (2000). On the other hand, there have
also been studies which do not show any correlation of hormone receptor positivity with
c-erbB2 overexpression (Gullick et al., 1991).
There are studies which suggest that ER-positive breast cancers that overexpress
c-erbB2 may be less responsive to tamoxifen (a selective estrogen receptor modulator
[SERM] which binds to ER and partially inhibits its activity, and is effective in the
treatment and prevention of breast cancer), than breast cancer with low or no c-erbB2
overexpression (Osborne et al., 2003; Benz et al., 1993). Differences found in c-erbB2
amplification between steroid receptor positive and negative tumors could be helpful to
define a specific subset of women in whom adjuvant therapy should be directed.
Controversy exists between studies in relation to tamoxifen adjuvant therapy in cerbB2
positive and negative groups. One shows that overall survival in the cerbB2 positive
group treated with tamoxifen was significantly worse than the c-erbB2 negative group
(Carlomagno et al., 1996). Another study showed no difference between c-erbB2 positive
and negative groups (Constantino et al., 1994). A recent study showed that AIB-1, also
called SRC-3, is an ER co-activator that plays a role in development of breast cancer. It
has been found that high levels of activated AIB-1 could reduce the antagonist effects of
tamoxifen especially in tumors that overexpress the c-erbB2 gene (Bouras et al., 2001).
The expression of c-erbB2 and hormone receptors are not always mutually
exclusive but there are studies which showed that amplified c-erbB2 overexpression might
precede the loss of hormone-dependence (Kurokawa et al., 2000; Schroeder at al., 1997).
Overexpression of c-erbB2 confers anti-estrogen resistance to breast cancer. This has been
well documented in multiple studies. A full-length cerbB2 cDNA transfected into ER
positive MCF-7 human breast cancer cells causes loss of sensitivity to tamoxifen or
estrogen dependence (Dowsett et al., 2001; Kurokawa et al., 2000; Miller et al., 1994). It is
still unclear how c-erbB2 overexpression potentially mediates tamoxifen resistance in
breast cancers (Chung et al., 2002). However, c-erbB2 overexpression results in activation
of the Ras/MAPK signaling pathway in breast cancers (Tzahar et al., 1998). This leads to
phosphorylation of Ser-118 in ER, leading to ligand-independent ER activation with loss
of the inhibitory effect of tamoxifen on ER-mediated transcription (Kurokawa et al., 2000;
Bunone et al., 1996). This shows that anti-Her2/neu therapy facilitates the inhibitory effect
of tamoxifen on c-erbB2 overexpressing hormone dependent breast cancers (Witters et al.,
1997). There are also contradictory studies which do not support the hypothesis that
overexpression of c-erbB2 is associated with tamoxifen unresponsiveness (Elledge et al.,
1998).
4.2.2 C-erbB2 overexpression with histological grade and nuclear morphometry
Histological grading is an essential component of the pathologic assessment of
invasive breast carcinomas and its prognostic significance has been amply demonstrated
(Richer et al., 1998; Periera et al., 1995; Ellis et al., 1991). Histological grade is regarded
as a marker of cancer cell differentiation, and is determined by a combination of factors:
tubule formation, nuclear pleomorphism and mitotic activity (Elston and Ellis, 1998). It is
well known that cell differentiation is a complicated process, involving regulation of gene
transcription, differential RNA processing and translation as well as intra- and intercellular biomolecular regulation (Lin et al., 2003). Histologic grading of breast carcinoma
is potentially of great clinical value in determining the prognosis.
Studies of the
relationship between histologic grade per se and prognosis show a strong correlation.
C-erbB2 expression was found to correlate with histological grade in Caucasian
and Japanese women with breast cancer (Hoff et al., 2002; Hung and Lau, 1999; Tsuda et
al., 1993). In a limited study of 167 Taiwanese cases, c-erbB2 overexpression was also
correlated with the histological grade of infiltrative ductal breast carcinoma
(Tsai et
al., 2001). In this current Singapore study, comprising a larger group of predominantly
Chinese women, c-erbB2 overexpression was found in 26.1% of grade 1 carcinomas, 28
% of grade 2 carcinomas and 43.3% of grade 3 carcinomas. This study also supports a
positive correlation between c-erbB2 expression and histologic grade of breast cancer,
with overexpression being less frequent in grade 1 and 2 than in grade 3 carcinomas. This
is in concordance with many other studies (Hoff et al., 2002; Pous et al., 2000; Elstone
and Ellis, 1991; Rilke et al., 1991; Tsuda et al., 1990). On the other hand, there are also
studies which found no correlation between histologic grade and c-erbB2 overexpression
(van de Vijver et al., 1988).
Other than c-erbB2, progesterone hormone also has influence on histologic
differentiation. PR negative tumors more often belong to the less differentiated,
histological grade 3 invasive ductal breast cancers than the more differentiated,
histological grade 2 tumors (Ruibal et al., 2001). This has been proven in an ‘in vivo’
study showing that progesterone hormone also has an impact over the histologic grade
(Lin et al., 2003).
Until now, the relationship between malignancy associated nuclear morphological
features and functional properties of tumor cells remain unclear (Huang et al., 2000).
Nuclear morphometry has been shown to be of prognostic utility in various cancers
(Ikeguchi et al., 1998) as well as in invasive breast carcinoma (Tan et al., 2001;
Kronqvist et al., 2000). In fact, increasing nuclear size has been postulated to be the result
of accumulation of abnormal genetic material during carcinogenesis (Tan et al., 2001). In
this study of 96 cases of breast carcinoma from Singapore women, there was no
significant association between nuclear area and perimeter with c-erbB2 expression per
se but tumors with positive c-erbB2 immunostaining had less round nuclei as compared
to those defined as c-erbB2 negative. Variations in nuclear size and shape have been used
as defining features of nuclear pleomorphism, a parameter in the designation of histologic
grade. That c-erbB2 positive tumors comprised cancer cells with less round nuclei
corroborates its link with poorer histologic grade. There are studies which postulate that
oncogene amplification could be related to the morphology of a tumor (Poller et al., 1991;
Cardiff et al., 1988), although our study did not show any association between nuclear
size and overexpression of the c-erbB2 oncoprotein. Among c-erbB2 positive tumors, the
nuclear size was significantly larger in histological grade 3 compared to histological
grade 1 or 2 tumors, supporting the notion of increased amounts of abnormal genetic
material in higher grade cancers. In addition, c-erbB2 positive tumors larger than 20 mm
were associated with increased nuclear perimeter of the malignant cells. Though the
nuclear size appeared larger for tumors which had lympho-vascular invasion and lymph
node positivity, the results were not statistically significant.
Quantitation of nuclear parameters is a powerful tool that may be an adjunct to
other cytologic and molecular indicators of cancer diagnosis and prognosis (Pienta and
Coffey, 1991). Nuclear morphometry of malignant tumors can reveal features that may
otherwise escape subjective analysis of cellular morphology. Further studies with larger
number of patients will be required to determine the importance of quantitative
morphometry.
4.2.3 C-erbB2 status and other clinicopathological parameters
The relationship between c-erbB2 overexpression and other clinicopathological
parameters such as patient age, tumor size, axillary lymph node status, pathologic stage
and lymphovascular invasion have remained controversial. One study found a statistically
significant relationship between c-erbB2 and age at diagnosis, with a more pronounced cerbB2 overexpression in younger patients (Sjogren et al., 1998). Interestingly, in this
present study, it was found that the frequency of c-erbB2 immuno-positivity decreased
with older age at diagnosis. There were more c-erbB2 immuno-positive cases in the
women aged ≤ 50 years as compared to those > 50 years i.e., 37.3% vs 33.2%. The
findings are similar to that reported by Sjogren et al (1998). Most of the recent studies, as
well as this present one, failed to attain any statistically significant difference between the
age at diagnosis and c-erbB2 overexpression (Tsutsui et al., 2003; Pous et al., 2000;
Bebenek et al., 1998; Sjogren et al., 1998; Chariyalertsak et al., 1996; Horiguchi et al.,
1994). There were variable results observed when cases were stratified as premenopausal
versus post-menopausal groups. No significant difference was observed in a study
between these groups (Yokota et al., 1999). In another study, statistically significantly
worse OS was observed for c-erbB2 positive patients than negative ones (Sjogren et al.,
1998).
Tumor size by itself is one of the most powerful predictors of tumor behaviour in
breast cancer (Fitzgibbons et al., 2000). However, its role as a prognostic marker
combined with other prognostic factors is still not well investigated. The vast majority of
breast cancers overexpressing c-erbB2, regardless of nodal status, are > 20mm in
diameter (24.3 vs 20.7% in > 20mm and ≤ 20mm respectively). However, no statistical
significance noted between c-erbB2 overexpression and tumor diameter in this present
study. Several studies have not reported any association between c-erbB2 overexpression
and tumor size though several authors did (Korkolis et al., 2001; Pous et al., 2000;
Ceccarelli et al., 1995; Rilke et al., 1991; van de Vijver et al., 1988). On the other hand,
Giai et al (1994) and Rilke et al (1991) found that c-erbB2 overexpression was present
more frequently in tumors larger than 20 mm when compared to smaller ones, while
Helal et al (2000) observed a similar trend for T3 and T4 tumors.
Axillary lymph node dissection is a routine staging procedure in the management
of invasive breast cancer. The use of adjuvant systemic treatment is dependent on the
axillary nodal status. Even though c-erbB2 overexpression by itself is potentially
prognostic in breast cancer, uncertainty still remains regarding its prognostic effect with
reference to axillary lymph node metastasis (Mittra et al., 1995). Most studies have found
no association between c-erbB2 overexpression and axillary node status (Helal et al.,
2000; Sjogren et al., 1998; Barbati et al., 1997; Clarke and McGuire, 1991). Similarly, no
statistically significant association was noted between c-erbB2 overexpression and nodal
status in this present study. Positive nodes have been observed to be more often present
when the primary tumor overexpresses c-erbB2 (Seshadri et al., 1993). The prognostic
influence of c-erbB2 overexpression has been shown to increase arithmetically with
increasing number of involved axillary lymph nodes (Mittra et al., 1995).
In this present study, there was no significant association between c-erbB2
overexpression and pathological staging, although breast cancer patients who showed cerbB2 positivity showed a trend towards more advanced stages; that is 42.9% of stage IV
patients, 39.3% of stage III patients, 36.5% of stage II patients and 22.1% of stage I
patients expressed c-erbB2 immunopositivity in their tumors.
C-erbB2 overexpression has been observed in about 40% to 60% of breast DCIS
(Poller et al., 1991) as compared to about 10% to 40% only in invasive breast cancer.
Plausible reasons for the relatively less frequent expression of c-erbB2 in invasive breast
carcinoma include: overexpression of c-erbB2 diminishes during evolution from an in
situ state to invasive breast carcinoma; or that the occurrence of invasive disease did not
involve the c-erbB2 gene (Allred et al., 1992). The clinical usefulness of c-erbB2
overexpression in DCIS is currently uncertain. As c-erbB2 plays an important role in
tumor cell motility and distant spread (Bobrow et al., 1995), its expression may be useful
in predicting local recurrence in women who have undergone conservative resection of
breast DCIS; or be indicative of the need to have
wider resection margins during
excision of these tumors.
Lympho-vascular invasion is predictive of local failure and reduced overall
survival (Pinder et al., 1994). In this present study, even though there was no statistically
significant difference between c-erbB2 overexpression and lympho-vascular invasion,
more c-erbB2 immuno-positive cases showed lympho-vascular invasion compared to cerbB2 negative cases (i.e.) 38% vs 33% respectively. This again implies c-erbB2 may
play a role in cell motility in invasive disease.
4.3 C-erbB2 status and biological markers
Besides the conventional clinicopathological parameters, biological markers also
play role in deciding the behavioral variability of invasive breast cancers. Recently, there
has been much interest in the biological markers of breast cancer, as they may provide
useful information on the clinical outcome and may also help in deciding the treatment
modality. The biological markers evaluated in this study were Ki-67, iNOS and c-myc.
4.3.1 C-erbB2 status and cell proliferation (Ki-67)
Increased cell proliferation or decreased cell death (apoptosis or programmed cell
death) are essential processes vital to carcinogenesis.
There are many methods to
evaluate cell proliferation in tissue samples; of all, Ki-67 immunostaining is a reliable,
reproducible and easy method of estimating cell proliferative activity (Scholzen and
gerdes, 2000). The Ki-67 index has been widely used in breast cancer research (Thor et
al., 1999). There are studies which showed correlation between c-erbB2 overexpression
and Ki-67 proliferation index (Rehman et al., 2000; Lee et al., 1992). De Potter et al
(1995) suggested that increased cell proliferation and enhanced cell motility are
associated with overexpression of c-erbB2 in invasive breast cancers.
In this present study, there was no statistically significant association between Ki67 proliferative activity and c-erbB2 overexpression, in keeping with studies which also
did not find such a relationship (Val et al., 2002; Pavelic et al., 1992). It remains to be
clarified why c-erbB2 overexpressed cancer cell clones are preferentially selected for
outgrowth if they do not experience a proliferative advantage from this genomic
alteration.
4.3.2 C-erbB2 status and iNOS
Nitric oxide (NO) is a potentially toxic molecule, which has been implicated in a
wide range of diverse patho-physiological processes. Inducible nitric oxide synthase
(iNOS) has been the primary enzyme for the production of large amounts of NO in
human tissues. Large amounts of NO formation have been shown to initiate apoptosis,
helping to kill cancer cells and intracellular pathogens (Brune et al., 1998). iNOS
expression has been widely studied in many cancers including breast cancer (Franchi et
al., 2002; Kaguora et al., 2001; Vakkala et al., 2000; Klotz et al., 1998;). The c-erbB2
overexpresion in relation to iNOS has not been much studied previously in breast
cancers. This present study did not find any significant association between c-erbB2
overexpression and iNOS expression, though there was a trend observed. Patients whose
tumors stained positive for c-erbB2 protein were more likely to express iNOS compared
to c-erbB2 negative patients (58.8% vs 42.6% respectively). One in vivo study showed a
lowered NO producing breast cancer cell line to have reduced EGFR expression, which is
a component of the c-erbB2 growth factor family (Martin et al., 1999). Further
exploration is needed to assess the association between iNOS and c-erbB2 in invasive
breast carcinoma.
4.3.3 C-erbB2 status and c-myc
The proto-oncogene c-myc encodes a transcription factor which plays a major
role in early embryogenesis, as well as regulates normal cellular proliferation and
differentiation. Aberrant c-myc expression is seen in many breast cancers (Pavelic et al.,
1991). In a normal cell, c-myc expression levels are under stringent control. C-myc is
known to collaborate with other oncogenes to promote malignant transformation (Hynes
et al., 2001). Hynes et al., in their study, further showed that deregulated c-erbB2 activity
effectively stimulated cytoplasmic signaling pathways which in turn impinged on c-myc
at various levels, causing its deregulated expression. C-myc amplification has been found
to be a strong indicator of poor prognosis (Chrzan et al., 2001; Scorilas et al., 1999).
In this present study, there was no significant association between c-erbB2
overexpression and c-myc expression. This is concordant with that reported by Spandidos
and co-workers (Spandidos et al., 1989). The small sample size could have been a factor
which influenced the statistical analysis of the correlation between c-erbB2
overexpression and c-myc expression in this present study.
4.3.4 Clinicopathological parameters and biological markers: Ki-67, iNOS and c-myc
In this study, significant associations were obtained between proliferation marker
Ki-67 and histologic subtype and histologic grade. Ki-67 has been positively correlated
with mitotic counts, which is a component of histologic grade (Lee et al., 1992; Isola et
al., 1990). Invasive ductal carcinoma subtype and histologic grade 3 tumors showed high
proliferative activity in this study. Ki-67 has been shown to play a major role in cancer
behavior and aggressiveness. It is also believed to predict DFS (Imamura et al., 1999). It
has been documented that Ki-67 has good association with S-phase fraction (SPF) and
aneuploidy, which reflect the biological behavior and aggressiveness of the cancer. These
imply that determination of Ki-67 in invasive breast cancers may become useful in future.
In this present study, iNOS expression is strongly positively correlated with the
axillary lymph nodal status. This is in accordance with another study, where they found a
very strong correlation between the presence of NOS and axillary lymph node metastasis
(Duenas-Gonzalez et al., 1997). This may be due to its major role in promoting
angiogenesis. Vascularization is an absolute requirement for sustained tumor growth and
its extent correlates positively with tumor metastasis (Tschugguel et al., 1999). Another
report did not find any correlation between lymph node status and iNOS (Vakkala et al.,
2000). The other clinicopathological parameters do not seem to produce any correlation
with iNOS immunopositivity. Some studies reported a negative correlation between
iNOS activity versus proliferation and grade, emphasized in one in vitro study, which
showed inhibition of proliferation of human breast cancer cells by NO (Reveneau et al.,
1999).
C-myc expression did not correlate with any of the clinicopathological
parameters. Its true impact needs further study in larger samples.
4.4 Follow up and survival analysis
C-erbB2 gene amplification or protein overexpression independently predicts the
DFS and OS in univariate and multivariate analysis. (Kobayashi et al., 2002; Dowsett et
al., 2000; Gancberg et al., 2000; Ross & Fletcher, 1998; Hawkins et al., 1993; Slamon et
al., 1987). C-erbB2 overexpression has been reported to contribute to increased metastatic
potential of cancer cells and to enhance malignancy (Ceccarelli et al., 1995). Upregulation
of MMP-9 and MMP-2 protease activities by c-erbB2 causes increased invasiveness and
VEGF expression thereby leading to a stronger angiogenic response and conferring
apoptosis resistance in breast cancer cells (Yu and Hung, 2000; Tan et al., 1997). Slamon
et al (1987) found that c-erbB2 gene amplification independently predicted OS and DFS
in node-positive breast cancer patients. It has been reported that overexpression of cerbB2 protein is an unfavorable prognostic indicator in breast cancer, especially in
patients with axillary nodal metastases. The influence of c-erbB2 on prognosis among
node-negative patients appears uncertain (Agrup et al., 2000). A small series of mainland
China breast cancers concluded that c-erbB2 overexpression was weakly associated with
poor prognosis (Suo et al., 2001). In this present study, c-erbB2 status generated
statistically significant differences in OS but not in DFS, though there was a trend
observed for a shorter DFS in women with c-erbB2 positive breast tumors. Besides the
significant difference in prognosis between patients with c-erbB2 positive and negative
breast cancer in this study, a c-erbB2 positive status also adversely affected women with
ER positive, node positive, histologic grade 1 and 2 tumors, and women aged over 50
years at diagnosis. It has been suggested that c-erbB2 amplification promotes estrogen
independence and tamoxifen resistance in ER positive tumors, leading to a poorer outlook
for this group (Dowsett et al., 2001). In contrast, Elledge et al (1998) found no evidence
of a poorer response to tamoxifen in ER positive metastatic breast cancer in spite of cerbB2 expression. The latter study, however, defined c-erbB2 positivity when > 1% of
cells stained immunohistochemically, and it is possible that differences in assignment of
what constitutes c-erbB2 immunopositivity may have contributed to variability in the
findings. Its adverse effect on histologic grade 1 and 2 tumors is not unexpected, and may
be used to identify poor performers in this subset. The poorer prognosis of women older
than 50 years with breast cancer that overexpressed c-erbB2 has been documented by
Ferrero-Pous et al (2000), though they did not elaborate on the possible reasons for this
observation. There was no prognostic significance of c-erbB2 overexpression in node
negative or estrogen receptor negative patients and women ≤ 50 years at diagnosis.
Multivariate analyses applied to the overall population identified c-erbB2
overexpression as an independent prognostic factor when compared with ER and nodal
status, and histologic grade; but lost its independent prognostic power when tumor size
and pathologic stage were incorporated, confirming the latter two parameters as
unequivocally powerful prognostic factors.
4.5 Conclusion
In conclusion, the salient findings in this study are:
(1) C-erbB2 overexpression in invasive breast cancer in Singapore women has a
similar pattern and trend as that reported in studies from other countries with
mostly western populations.
(2) C-erbB2 gene amplification by the FISH procedure can be compromised by
the duration of fixation of tissues, storage of tissue blocks and influenced by
pretreatment protocols. It is to be expected that in future, assessment of
oncogene alterations in many tumor types will play a critical role in guiding
diagnosis and treatment. Standardization of the assays to assess these gene
alterations will be necessary before these assays can be used for routine
clinical evaluation.
(3) Strong correlation is found in between c-erbB2 gene amplification and protein
overexpression.
(4) C-erbB2 overexpression is strongly associated with poorly differentiated
breast carcinoma and inversely correlated with hormone receptor status
(5) Image cytometry analysis found correlation between nuclear roundness and
histological grade and tumor size in c-erbB2 positive tumors.
(6) Overexpression of c-erbB2 in invasive breast cancer is associated with poor
overall survival.
This study supports the hypothesis that c-erbB2 overexpression in breast tumors
from Singapore women is associated with poor prognosis and overall survival (Fig. 37).
C-erbB2
overexpression
Associated with higher
histologic grade
&
Hormonal receptor
status
Poor prognosis
&
Diminished
overall survival
Fig. 37 Flow chart of significance of c-erbB2 overexpression/amplification in invasive
breast cancer in Singapore women.
4.6 Future study
Although there is increasing information on the role of c-erbB2 as a prognostic
factor and as a factor predicting response to systemic therapy, there is a pressing need to
develop a comprehensive profile of the biologic and molecular characteristics of a tumor,
rather than assessing one marker at a time. In future, the tools of molecular biology, such
as microarray technology will permit such an assessment and will dramatically alter the
manner in which breast cancers are classified and the way in which prognostic and
predictive factors are determined. However, the new molecular biology methods will
need to be integrated with standard methods of pathologic evaluation.
Expanding this study further by comparing c-erbB2 overexpression with other
tumor markers like EGFR, bcl-2, pS2, Cathepsin D, p53, may help in establishing its
significance in terms of prognosis.
It is likely that in the near future, assessment of tumor suppressor genes and
oncogene alterations in many tumor types will play a critical role in managing treatment
modalities. Standardization of the assays to assess gene alterations will be necessary
before these assays can be used for routine clinical evaluation. Assessment of c-erbB2
status can serve as a model for the standardization of such assays and interpretation of
results.
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APPENDIX
RECIPES
Citrate buffer – Antigen retrieval (pH 6.0)
0.01M sodium citrate adjusted to pH 6 by 0.01M citric acid
DAB reaction solution
DAB
TBS
H2O2
50mg
100ml
33µl
DAPI solution
DAPI
0.1µg/ml in 2x SSC
Harris Hematoxylin
Hematoxylin
Absolute alcohol
Ammonium alum
(or potassium alum)
Mercuric oxide
dH2O
1g
10ml
20g
0.5g
200ml
Hydrogen peroxide/Methanol
30% Hydrogen peroxide
Methanol
100µl
5.9ml
Protease solution (0.25mg/ml)
Protease
Protease buffer
25mg
50ml
Silane coated slides
2% solution of silane in absolute alcohol for 2 min
Tris Buffered Saline (TBS)
0.5M Tris stock solution, pH 7.4
9% Sodium chloride
Tween 20
Water up to
100ml
100ml
0.5ml
1 litre
0.5% Tween 20
Tween 20
Wash buffer (2x SSC)
0.5ml
100ml
10% Buffered formalin (neutral)
37-40% formaldehyde solution
Water
Sodium phosphate monobasic
Sodium phosphate dibasic
5 litres
45 litres
200g
325g
0.2N HCl
Concentrated Hcl (37%)
DEPC water
0.41ml
25ml
20x SSC (pH 7.4)
Tri sodium citrate
Sodium chloride
Water
88.2g
175.4g
1 litre
2x SSC
20x SSC
Distilled water
100ml
900ml
[...]... 9 Intensity of c- erbB2 immunostaining in all patients 52 Fig 10 C- erbB2 immunostaining of invasive ductal breast cancer tissues Negative control 53 C- erbB2 immunostaining of invasive ductal breast carcinoma 1+ staining (considered negative) 54 C- erbB2 immunostaining of invasive ductal breast carcinoma 2+ positive staining 54 C- erbB2 immunostaining of invasive ductal breast carcinoma 3+ positive staining... positivity of the cancer cells of invasive breast carcinoma 77 Negative control showed no iNOS immunostaining of the cancer cells of invasive breast carcinoma 77 Positive c- myc immunostaining showed nuclear as well as cytoplasmic positivity of the cancer cells of invasive breast carcinoma 79 Negative control showed no c- myc immunostaining of the cancer cells of invasive breast carcinoma 79 Fig 22 Fig 23 Fig... origin Non -invasive Ductal carcinoma in situ Microinvasive carcinoma Lobular carcinoma in situ Invasive Ductal no special type (NST) Lobular Medullary Tubular Invasive cribriform Mucinous Metaplastic Mixed types Uncommon types Secretory Adenoid cystic Mucoepidermoid Invasive papillary Tubulolobular Inflammatory Rare types Signet ring Lipid rich Clear cell Myoepithelioma Carcinoid Mesenchymal origin... negative invasive ductal carcinoma digitally outlined using a computer mouse 69 Positive Ki67 immunostaining showed nuclear positivity of the proliferating cancer cells of invasive breast carcinoma 75 Negative control (omission of primary antibody) showed no Ki67 immunostaining ofthe cancer cells of invasive breast carcinoma 75 iNOS immunostaining showed strong cytoplasmic positivity of the cancer cells... Sarcomas Miscellaneous origin Hematopoietic Metastatic carcinoma 1.2.2.1 Ductal carcinoma in situ (DCIS) Ductal carcinoma in situ (DCIS) originates from the terminal duct-lobular unit (TDLU), and implies malignant transformation of lining epithelial cells restricted within the basement membrane Myoepithelial cells are seen in DCIS, which is a distinct feature that differentiates it from invasive carcinoma. .. apocrine changes, calcifications 1.2.2 Malignant breast disease (Histologic subtypes) Breast carcinoma presents in a great variety of histological patterns, including specific types which have useful clinical correlates and prognostic implications Morphological classification of invasive breast carcinoma has existed for several decades The classification system currently followed is based on a descriptive... c- erbB2 in invasive breast cancer is associated with poor overall survival Strong correlation is found in c- erbB2 expression at the genetic and protein expression level CHAPTER 1 INTRODUCTION 1.1 Epidemiology of breast cancer 1.1.1 Breast cancer around the world Breast cancer is the second leading cause of cancer deaths in women today (after lung cancer) and is the most common cancer among women, excluding...FISH Fluorescence in situ hybridization GAP GTPase activating protein GFR Growth factor receptor H&E Hematoxylin and Eosin H2O2 Hydrogen peroxide HCl Hydrochloric acid HER2 Human epidermal growth receptor 2 hr/hrs Hour/hours IDC Invasive ductal carcinoma IGF-1 Insulin like growth factor IgG Immunoglobulin G IHC Immunohistochemistry ILC Invasive lobular carcinoma iNOS Inducible nitric oxide synthase... affecting the lobular units (Lishman and Lakhani, 1999) It is now regarded as risk indicator, rather than as a true forerunner of invasive breast cancer Low nuclear grade solid DCIS may mimic LCIS, and pose diagnostic difficulty The relationship between DCIS, LCIS and invasive breast cancer needs further elucidation 1.2.2.3 Invasive ductal carcinoma (IDC) Invasive ductal carcinoma (IDC) is the most common... invasive breast carcinoma The 7th World Congress on Advances in Oncology and 5th International Symposium on Molecular Medicine, Hersonissos, Crete, Greece 2002 (Abstract) 3 Selvarajan S, Bay BH, Tan PH Nuclear morphometry in c- erbB2 positive invasive ductal breast carcinoma The 7th World Congress on Advances in Oncology and 5th International Symposium on Molecular Medicine, Hersonissos, Crete, Greece 2002 ... immunostaining of invasive ductal breast carcinoma 2+ positive staining 54 C- erbB2 immunostaining of invasive ductal breast carcinoma 3+ positive staining 55 Ductal Carcinoma in situ component of invasive. .. cell Myoepithelioma Carcinoid Mesenchymal origin Sarcomas Miscellaneous origin Hematopoietic Metastatic carcinoma 1.2.2.1 Ductal carcinoma in situ (DCIS) Ductal carcinoma in situ (DCIS) originates... cytoplasmic positivity of the cancer cells of invasive breast carcinoma 77 Negative control showed no iNOS immunostaining of the cancer cells of invasive breast carcinoma 77 Positive c- myc immunostaining