A retrospective, epidemiological study on the pattern of distribution of phenotypic subgroups among patients of breast cancer in a tertiary care level hospital of West Bengal, India

Sanatan Banerjee; Diptimay Das; Biswamit Bhattacharya; Arindam Chaudhury

doi:10.18203/2320-6012.ijrms20205312

Authors

Sanatan Banerjee Department of Radiotherapy, Burdwan Medical College and Hospital, West Bengal, India
Diptimay Das Department of Radiotherapy, Burdwan Medical College and Hospital, West Bengal, India
Biswamit Bhattacharya Department of Radiotherapy, Burdwan Medical College and Hospital, West Bengal, India
Arindam Chaudhury Department of Radiotherapy, Burdwan Medical College and Hospital, West Bengal, India

DOI:

https://doi.org/10.18203/2320-6012.ijrms20205312

Keywords:

HER2-neu, Ki67, Hormone receptor positivity, Premenopausal

Abstract

Background: The burden of breast cancer is increasing worldwide and it is second most cause of mortality in India. Epidemiologic data regarding different phenotypic subgroups in Indian women is scarce. The present study aimed to find out the epidemiological distribution of different phenotypic subgroups in the patients suffering from breast cancer.

Methods: This was a retrospective, observational study conducted at the Department of Radiotherapy, Burdwan Medical College and Hospital, West Bengal, India between July 2012 and June 2017. Women diagnosed with biopsy proven breast carcinoma who had been attending radiation oncology outdoor patients department (OPD) were included in the study. The data of the patients regarding age at presentation, grade of tumor, Ki 67 status, hormone receptor status, and their phenotypic subgroup classification were retrieved from hospital record.

Results: A total of 280 women patients were included in the study, of these, 105 were premenopausal and 175 were postmenopausal. Locally advanced breast cancer (60.0%) was most prevalent breast cancer among them. Majority of the patients had grade III tumor and higher expression of Ki-67 index at the time of presentation (53.92% and 68.21%, respectively). Infiltrating Ductal carcinoma is the most prevalent histopathological sub-type in both premenopausal and postmenopausal women. Hormone receptor positivity in premenopausal women was comparatively higher than postmenopausal women. Whereas human epidermal growth factor receptor 2 negative cancer was comparatively higher in postmenopausal women (66.98%). The most prevalent phenotypic subgroup among premenopausal and postmenopausal group was luminal B (38.09%) and luminal A (36.57%), respectively.

Conclusions: Overall findings suggest that majority of patients were diagnosed with high grade and high Ki67 index which showed lack of awareness in these patients about this disease. Use of prognostic factors and predictive markers can be helpful to diagnose breast cancer at early life.

Metrics

Metrics Loading ...

References

Meshram II, Hiwarkar PA, Kulkarni PN. Reproductive risk factors for breast cancer: A case control study. Online J Health Allied Sci. 2009;83:5.

Pakseresht S, Ingle GK, Bahadur AK, Ramteke VK, Singh MM, Garg S, et al. Breast cancer among women in Delhi. Indian J Cancer. 2009;46:132-8.

Lodha SR, Nandeshwara S, Pal KD. Risk of breast cancer in obese women: A case control study. Natl J Community Med. 2010;1:166-7.

Ganesan M, Kadalmani B. A Retrospective analysis of incidence of breast cancer at a tertiary care hospital in south India. JAIR. 2016;4:199-202.

Onitilo AA, Engel JM, Greenlee RT, Mukesh BN. Breast cancer subtypes based on ER/PR and Her2 expression: Comparison of clinicopathologic features and survival. Clin Med Res. 2009;7:4-13.

Perou CM, Sørlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, et al. Molecular portraits of human breast tumours. Nature. 2000;406:747-52.

Sørlie T, Perou CM, Tibshirani R, Aas T, Geisler S, Johnsen H, et al. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci. 2001;98:10869-74.

Iyer M, Kumar PS, Karthikeyan S, Namboori PK. ‘BRCA1’ responsiveness towards breast cancer-a population-wise pharmacogenomic analysis. Int J Pharm Pharm Sci. 2016;9:267-70.

Brenton JD, Carey LA, Ahmed AA, Caldas C. Molecular classification and molecular forecasting of breast cancer: Ready for clinical application? J Clin Oncol. 2005;23:7350-60.

Dartois L, Fagherazzi G, Baglietto L, Boutron-Ruault MC, Delaloge S, Mesrine S, et al. Proportion of premenopausal and postmenopausal breast cancers attributable to known risk factors: Estimates from the E3N-EPIC cohort. Int J Cancer. 2016;138:2415-27.

Adhikari AD, Chakraborty RI, Bhattacharya S, Ray M, Mukherjee R. Drug prescription pattern of breast cancer patients in a tertiary care hospital in West Bengal: A cross-sectional and questionnaire-based study. Asian J Pharm Clin Res. 2018;11:398-01.

Silva LRD, Vargas RF, Shinzato JY, Derchain SFM, Ramalho S, Zeferino LC. Association of menopausal status, expression of progesterone receptor and Ki67 to the clinical response to neoadjuvant chemotherapy in luminal breast cancer. Rev Bras Ginecol Obstet. 2019;41:710-7.

Anderson WF, Chu KC, Chang S, Sherman ME. Comparison of age-specific incidence rate patterns for different histopathologic types of breast carcinoma. Cancer Epidemiol Biomarkers Prev. 2004;13:1128-35.

Leung GM, Thach TQ, Lam TH, Hedley AJ, Foo W, Fielding R, et al. Trends in breast cancer incidence in Hong Kong between 1973 and 1999: An age-period-cohort analysis. Br J Cancer. 2002;87:982-8.

Surakasula A, Nagarjunapu GC, Raghavaiah KV. A comparative study of pre- and post-menopausal breast cancer: Risk factors, presentation, characteristics and management. J Res Pharm Pract. 2014;3:12-8.

Parise CA, Caggiano V. Breast cancer survival defined by the ER/PR/HER2 subtypes and a surrogate classification according to tumor grade and immunohistochemical biomarkers. J Cancer Epidemiol. 2014:469251.

Özmen V. Breast cancer in Turkey: Clinical and histopathological characteristics (Analysis of 13.240 Patients). J Breast Heal. 2014;10:98-105.

Dogra A, Doval DC, Sardana M, Chedi SK, Mehta A. Clinic pathological characteristics of triple negative breast cancer at a tertiary care hospital in India. Asian Pac J Cancer Prev. 2014;15:10577-83.

Reddy GM, Suresh PK, Pai RR. Clinic pathological features of triple negative breast carcinoma. J Clin Diagn Res. 2017;11:EC05-8.

Pathy NB, Yip CH, Taib NA, Hartman M, Saxena N, Iau P, et al. Breast cancer in a multi-ethnic Asian setting: Results from the Singapore-Malaysia hospital-based breast cancer registry. Breast. 2011;20:S75-80.

Butt Z, Haider SF, Arif S, Khan MR, Ashfaq U, Shahbaz U, et al. Breast cancer risk factors: A comparison between pre-menopausal and post-menopausal women. J Pak Med Assoc. 2012;62:120-4.

Saxena S, Rekhi B, Bansal A, Bagga A, Chintamani, Murthy NS. Clinico-morphological patterns of breast cancer including family history in a New Delhi hospital, India -A cross-sectional study. World J Surg Oncol. 2005;3:67.