BRCA1 and Ki-67 in breast cancer: A review

Review Article

Author Details : Minnu Sibby, Bhavani Krishnamurthy*, Nafeesa Banu, Sowmya Srinivasan

Volume : 8, Issue : 1, Year : 2021

Article Page : 5-9

Suggest article by email


Background and Objectives: Breast cancer has become one of the leading cause of morbidity and mortality among female population both in developing and developed countries. Research also suggests the rising rate of breast cancer every year. Various advancements and research in this field has led to the discovery of both sporadic and genetic susceptibility prevailing in persons who develop this cancer. Even though various immunohistochemical(IHC) markers are being used in the workup of breast cancer, none of them is found to be totally effective in predicting the prognosis of the patient. It is known that BRCA
mutations are associated with breast cancers and the protein expression of BRCA1 in breast cancer can be identified by IHC. Hence, the purpose of this review is to highlight the role of BRCA1 and KI-67 as diagnostic and prognostic IHC markers in breast cancer.
Conclusion: Breast cancer is one of the most leading causes of death in female population. BRCA1 and Ki-67 protein expression can be used to assess the grade of tumour and thereby predict the prognosis of the patient. Incorporating these markers along with existing hormone receptor workup can help in better approach in dealing with breast cancer.

Keywords: Immunohistochemistry(IHC), BRCA1, KI-67.

How to cite : Sibby M , Krishnamurthy B , Banu N , Srinivasan S , BRCA1 and Ki-67 in breast cancer: A review. Indian J Pathol Oncol 2021;8(1):5-9

Copyright © 2021 by author(s) and Indian J Pathol Oncol. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License (

Article History

Received : 14-09-2020

Accepted : 07-10-2020

Available online : 20-02-2021

View Article

PDF File   Full Text Article

Copyright permission

Get article permission for commercial use


PDF File   XML File   ePub File

Digital Object Identifier (DOI)

Article DOI

Article Metrics

Article Access statistics

Viewed: 253

PDF Downloaded: 132