Literature DB >> 34984199

Prevalence of Molecular Subtypes of Breast Carcinoma and Its Comparison between Two Different Age Groups: A Retrospective Study from a Tertiary Care Center of Northeast India.

Jagannath Dev Sharma1, Sachin Khanna2, Shubhra Ramchandani3, Lopa Mudra Kakoti1, Argha Baruah1, Vinay Mamidala2.   

Abstract

Objective The aim of the study is to see the prevalence of different molecular subtypes in breast cancer patients among two different age groups: ≤40 years and >40 years. Materials and Methods Retrospective study was conducted from January 2019 to December 2019. We studied 568 cases of breast carcinoma and classified them into four molecular subtypes-luminal A, luminal B, human epidermal growth factor-2 (HER 2), and triple negative. Cases were divided into two different groups: (1) ≤40 years and (2) >40 years. Statistical Analysis was done by using SPSS software version 20.0. Results Out of 568 cases, 151 (26.6%) were ≤40 years of age and 417 (73.4%) were >40 years of age. The most common histological subtype of breast cancer was ductal carcinoma in 548 cases and the most common grade was grade III. Immunohistochemistry was done in 432 patients. In younger age group, the most common molecular subtype was luminal B (31%) followed by triple negative (20%), luminal A (14%), and then HER 2 (5.3%), while in the older age group most common molecular subtype was luminal B (27.8%) followed by triple negative (14%), HER 2 (12.2%), and then luminal A (12%). Conclusion Luminal B is found to be the most common subtype in Northeast Indian women with breast cancer, as compared with other studies in which luminal A was the most common subtype. This could be due to the reason that K i -67 was not done in most of the other studies. MedIntel Services Pvt Ltd. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

Entities:  

Keywords:  estrogen receptor; human epidermal growth factor; luminal A; luminal B; progesterone receptor; triple negative

Year:  2021        PMID: 34984199      PMCID: PMC8719960          DOI: 10.1055/s-0041-1731905

Source DB:  PubMed          Journal:  South Asian J Cancer        ISSN: 2278-330X


Shubhra Ramchandani

Introduction

Breast cancer accounts for the most common cancer in women worldwide. It is multifactorial with both genetic as well as environmental factors playing a role in carcinogenesis. The various risk factors include: age, family history, marital status, menstrual history, hormonal exposure, and lifestyle. 1 2 Breast cancer in young women is increasing in Asia due to their western lifestyle. 3 Risk factors, prognosis, and tumor biology are different in younger age group (≤40 years) than the older group (>40 years) suggesting it represents different entity. 1 4 Breast cancer in young women is more aggressive with higher mortality and recurrence rate as compared with older women, however, incidence is more common in older women. 5 Prognosis depends on—histological type, grade, lymph node metastasis, hormonal receptor status—(estrogen receptor [ER], progesterone receptor [PR], human epidermal growth factor receptor [HER 2]), and proliferation index (K i -67). 1 4 6 Breast cancer has varied clinical and molecular characteristics. It can be divided into five molecular groups: luminal A, luminal B, HER 2, basal and normal like. 7 8 The need for molecular classification is for categorizing the patients who can benefit from targeted therapy (hormonal therapy and anti HER 2 therapy). 7 Breast cancer with same histologic subtype may respond differently to therapy and may have different prognosis. Triple negative and HER 2 are more aggressive subtypes, with shorter survival period. Although they tend to respond better to chemotherapy. 9 Also, triple negative breast cancers with tumor infiltrating lymphocytes have better prognosis and survival rate those without tumor infiltrating lymphocytes. 10

Materials and Methods

This is a retrospective study. All female patients diagnosed with breast carcinoma at our institute between January 2019 and December 2019 were included. We divided the cases into two groups—group 1: ≤ 40 years of age (younger group) and group 2: > 40 years (older group). Among them we studied histological type, grade, ER, PR, HER 2 status, and molecular classification.

Immunohistochemistry

Immunohistochemistry (IHC) was done on 4-µm thick formalin fixed paraffin embedded tissue sections. Antigen retrieval was done using Tris-EDTA buffer and machine used was benchmark. Antibodies used for ER, PR, HER 2, and K i -67 were monoclonal antibodies against estrogen receptor (Clone SP1), progesterone receptors (Clone Y85), Her2 receptor (Clone SP3), and K i -67 receptor (Clone SP6), respectively. Then percentage of cells staining positive was recorded.

Guidelines for Immunohistochemistry Reporting

According to ASCO and CAP guidelines, 11 12 cutoff of 1% of tumor cells positive for nuclear stain of ER/PR was considered to be positive and the tumors staining < 1% of any intensity was considered negative. For HER 2, a semiquantitative scoring system called Allred scoring system was used which is based on percentage of positively stained cells and intensity of nuclear stain of the cells. HER 2 was scored from 0 to 3. 0: No stain or incomplete, faint in <10% tumor cells. 1+: Faint, incomplete staining in <10% tumor cells. 2+: Complete, weak to moderate staining in >10% of tumor cells. 3+: Complete circumferential membrane staining in >10% of tumor cells. The tumors were classified into four groups (luminal A, luminal B, HER 2, and triple negative) according to ER/PR/HER 2 status/K i -67: Luminal A: ER+ and/or PR+, HER 2-, K i -67 ≤14%. Luminal B: ER+ and/or PR+ and HER 2+ or if HER 2-then K i -67 >14%. HER 2: ER−, PR−, HER 2+. Triple negative: ER−, PR−, HER 2−. Out of total 568 cases, molecular typing could not be done in 189 cases due to either of these three reasons: IHC was not available. HER 2 borderline was not followed by FISH (fluorescence in situ hybridization). K i -67 was not available.

Statistical Analysis

Statistical analysis was done by using SPSS software version 20.0.

Results

Out of 568 cases studied, 151 cases (26.6%) were of ≤ 40 years age group while 417 cases (73.4%) were > 40 years age group with mean and median age 48.14 years and 47 years, respectively. The most common histological subtype was ductal carcinoma in 548 cases (96%) followed by lobular carcinoma in nine cases (1.5%) and other 2.5% included cribriform carcinoma in four cases, two cases each of papillary carcinoma and mucinous carcinoma, one case each of carcinosarcoma, squamous cell carcinoma, and apocrine carcinoma ( Table 1 ).
Table 1

Distribution of histological subtypes of breast carcinoma

Histological typeNumber
Ductal carcinoma548 (96.4%)
Lobular carcinoma9 (1.6%)
Cribriform carcinoma4 (0.7%)
Papillary carcinoma2 (0.35%)
Mucinous carcinoma2 (0.35%)
Carcinosarcoma1 (0.2%)
Squamous cell carcinoma1 (0.2%)
Apocrine carcinoma1 (0.2%)
Among ductal carcinomas, the most common grade was grade III, seen in 278 cases (50.7%) followed by grade II in 263 cases (48%) ( Table 2 ).
Table 2

Distribution of grades among ductal carcinoma

Grade≤40 y>40 yTotal
Grade I07 (1.7%)7 (1.3%)
Grade II71 (48.6%)192 (47.7%)263 (48%)
Grade III75 (51.4%)203 (50.6%)278 (50.7%)
Total146 (100%)402 (100%)548 (100%)
Out of nine lobular carcinomas, seven were of grade I and two of grade II. Two out of four cribriform carcinoma had grade I and for another two, grade was not available. One out of two papillary and two mucinous carcinomas had grade I, for second cases in both grade was not available. Carcinosarcoma, squamous cell carcinoma, and apocrine carcinoma were not graded. IHC was done for 432 cases (76%) and K i -67 was done in 299 cases (52.6%). ER positivity was seen in 256 cases (59%) and PR in 206 cases (47.7%). HER 2 was positive in 104 cases (24%), borderline in 88 cases (20.4%). Molecular typing could be done in 379 cases only. The most common molecular subtype was luminal B in 163 cases (43%) followed by triple negative in 22.8%, luminal A in 18.7% and HER 2 in 15.5% of cases. In younger age group, the most common molecular subtype was luminal B (31%) followed by triple negative (20%), luminal A (14%), and then HER 2 (5.3%), while in the older age group most common molecular subtype was luminal B (27.8%) followed by triple negative (14%), HER 2 (12.2%), and then luminal A (12%) ( Table 3 ).
Table 3

Distribution of molecular subtypes of breast carcinoma

Molecular subtype≤40>40Total
Abbreviation: HER, human epidermal growth factor.
Luminal A21 (14%)50 (12%)71 (18.7%)
Luminal B47 (31%)116 (27.8%)163 (43%)
HER 28 (5.3%)51 (12.2%)59 (15.5%)
Triple negative30 (20%)56 (14%)96 (22.8%)
Total106273379
Different molecular subtypes from cases of this study are shown in Figs. 1 2 3 to 4
Fig. 1

Luminal A.

Fig. 2

Luminal B.

Fig. 3

HER 2.

Fig. 4

Triple negative.

Luminal A. Luminal B. HER 2. Triple negative. Grade I had mostly luminal A then luminal B subtype; maximum cases of grade II belong to luminal B then luminal A, triple negative and HER 2 and maximum cases of grade III belong to luminal B then triple negative, HER 2, and luminal A ( Table 4 ).
Table 4

Distribution of molecular subtypes according to different grades

GradeLuminal ALuminal BHER 2Triple negativeTotal
Abbreviation: HER, human epidermal growth factor.
Grade I1730020
Grade II37862226265
Grade III17743760277

Discussion

The mean age in younger and older group was 35 and 52 years, respectively, likewise in another study done by Gupta et al 1 and AlZaman et al 4 where the mean age in younger age group was 37 and 36 years, respectively while in older age group the mean age was 54 and 55 years, respectively. The most common histological subtype of breast carcinoma was ductal carcinoma similar to studies done by AlZaman et al, 4 Alnegheimish et al, 7 Goksu et al, 13 and Kumar et al. 8 ER positivity was seen in 59% and PR in 47.7%. HER 2 positivity in 24%, borderline in 20.4% cases, unlike in a study done by Alnegheimish et al. 7 ER positivity was seen in 70.8% and PR in 63.8%, HER 2 positivity in 18.7%, and borderline in 22.8% cases. The most common grade was grade III (50.7%) followed by grade II (48%), and grade I (1.3%) unlike the study done by Engstrøm et al, 6 where the most common was grade II (53.7%) followed grade III (33.4%), and grade I (12.9%). The most prevalent molecular subtype was luminal B followed by triple negative, luminal A and HER 2, unlike in a study done by Gupta et al 1 and Lin et al 3 in which luminal A was the most common followed by triple negative, HER 2, and luminal B type. In a study done by Alnegheimish et al 7 the most common molecular subtype was luminal A followed by triple negative, luminal B, and HER 2 ( Table 5 ).
Table 5

Prevalence of molecular subtypes of breast carcinoma among different population

Author, CountryLuminal ALuminal BHER 2Triple negative
Present study71 (18.7%)163 (43%)59 (15.5%)86 (22.8%)
Gupta et al, (India)36 (60.6%)2 (3.3%)6 (10.0%)16 (26.7%)
Lin et al, Taiwan (Western)635 (62%)90 (9%)121 (12%)132 (13%)
Alnegheimish et al Saudi Arabia (Middle east)210 (58.5%)52 (14.5%)44 (12.3%)53 (14.8%)
AlZaman et al, Bahrain (Asian)45 (41.3%)24 (22%)25 (23%)15 (13.7%)
Two out of four cribriform carcinoma were of luminal A and other two of luminal B, six out of nine ILC were of luminal A and one each of luminal B, HER 2, triple negative. Both cases of mucinous and papillary carcinoma were of luminal A. Apocrine carcinoma, carcinosarcoma, and squamous cell carcinoma could not be typed. Younger females had grade III tumors and luminal B as the most common molecular subtype similar to a study done by Lee et al. 5 Luminal A had the highest proportion of grade II followed by equal proportion of grade I and grade III, HER 2 and triple negative had the highest proportion of grade III followed by grade II like a similar study done by Engstrøm et al 6 according to which luminal A had the highest proportion of grade I and grade II while HER 2 and triple negative had the highest proportion of grade III followed by grade II. Different age cutoff values for younger and older age group are shown in Table 6 .
Table 6

Comparison of age cutoff for younger and older age group breast carcinomas in different studies

Author, CountryAge cutoff for younger age groupAge cutoff for older age group
Present study≤40>40
Gupta et all, India≤40>40
Goksu et al, Turkey≤35>35
Lin et al, Taiwan≤50>50
AlZaman et al, Bahrain≤40>40

Conclusion

Molecular classification is useful not only for prognosis, but also for the targeted therapy. Thus, it should be adopted as a part of routine histopathological reporting. Our study compared molecular subtypes of breast cancer and age in Northeast Indian women and luminal B is found to be the most common subtype as compared with other studies where luminal A was the most common subtype. This could be due to the reason that K i -67 was not done in most of the other studies.
  13 in total

1.  Breast cancer molecular subtypes respond differently to preoperative chemotherapy.

Authors:  Roman Rouzier; Charles M Perou; W Fraser Symmans; Nuhad Ibrahim; Massimo Cristofanilli; Keith Anderson; Kenneth R Hess; James Stec; Mark Ayers; Peter Wagner; Paolo Morandi; Chang Fan; Islam Rabiul; Jeffrey S Ross; Gabriel N Hortobagyi; Lajos Pusztai
Journal:  Clin Cancer Res       Date:  2005-08-15       Impact factor: 12.531

2.  Prevalence of molecular subtypes of invasive breast cancer: A retrospective study.

Authors:  Nikhilesh Kumar; Preeti Patni; A Agarwal; M A Khan; Nidhi Parashar
Journal:  Med J Armed Forces India       Date:  2015-06-17

3.  Clinicopathologic features and molecular subtypes of breast cancer in young women (age ≤35).

Authors:  Sema Sezgin Goksu; Didem Tastekin; Deniz Arslan; Seyda Gunduz; Ali Murat Tatli; Dilek Unal; Derya Salim; Tunc Guler; Hasan Senol Coskun
Journal:  Asian Pac J Cancer Prev       Date:  2014

4.  American Society of Clinical Oncology/College of American Pathologists guideline recommendations for human epidermal growth factor receptor 2 testing in breast cancer.

Authors:  Antonio C Wolff; M Elizabeth H Hammond; Jared N Schwartz; Karen L Hagerty; D Craig Allred; Richard J Cote; Mitchell Dowsett; Patrick L Fitzgibbons; Wedad M Hanna; Amy Langer; Lisa M McShane; Soonmyung Paik; Mark D Pegram; Edith A Perez; Michael F Press; Anthony Rhodes; Catharine Sturgeon; Sheila E Taube; Raymond Tubbs; Gail H Vance; Marc van de Vijver; Thomas M Wheeler; Daniel F Hayes
Journal:  Arch Pathol Lab Med       Date:  2007       Impact factor: 5.534

Review 5.  American Society of Clinical Oncology/College Of American Pathologists guideline recommendations for immunohistochemical testing of estrogen and progesterone receptors in breast cancer.

Authors:  M Elizabeth H Hammond; Daniel F Hayes; Mitch Dowsett; D Craig Allred; Karen L Hagerty; Sunil Badve; Patrick L Fitzgibbons; Glenn Francis; Neil S Goldstein; Malcolm Hayes; David G Hicks; Susan Lester; Richard Love; Pamela B Mangu; Lisa McShane; Keith Miller; C Kent Osborne; Soonmyung Paik; Jane Perlmutter; Anthony Rhodes; Hironobu Sasano; Jared N Schwartz; Fred C G Sweep; Sheila Taube; Emina Emilia Torlakovic; Paul Valenstein; Giuseppe Viale; Daniel Visscher; Thomas Wheeler; R Bruce Williams; James L Wittliff; Antonio C Wolff
Journal:  J Clin Oncol       Date:  2010-04-19       Impact factor: 44.544

6.  The Effect of Young Age in Hormone Receptor Positive Breast Cancer.

Authors:  Minna K Lee; Leo A Varzi; Debra U Chung; Minh-An Cao; Jeffrey Gornbein; Sophia K Apple; Helena R Chang
Journal:  Biomed Res Int       Date:  2015-08-16       Impact factor: 3.411

7.  Molecular subtypes, histopathological grade and survival in a historic cohort of breast cancer patients.

Authors:  M J Engstrøm; S Opdahl; A I Hagen; P R Romundstad; L A Akslen; O A Haugen; L J Vatten; A M Bofin
Journal:  Breast Cancer Res Treat       Date:  2013-07-31       Impact factor: 4.872

8.  Comparison of Molecular Subtypes of Carcinoma of the Breast in Two Different Age Groups: A Single Institution Experience.

Authors:  Pooja Gupta; Naresh N Rai; Lakshmi Agarwal; Swati Namdev
Journal:  Cureus       Date:  2018-06-18

Review 9.  Recent advances in triple negative breast cancer: the immunotherapy era.

Authors:  Antonio Marra; Giulia Viale; Giuseppe Curigliano
Journal:  BMC Med       Date:  2019-05-09       Impact factor: 8.775

10.  Correlation between hormone receptor status and age, and its prognostic implications in breast cancer patients in Bahrain.

Authors:  Aysha S AlZaman; Saad A Mughal; Yahya S AlZaman; Entisar S AlZaman
Journal:  Saudi Med J       Date:  2016-01       Impact factor: 1.484

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