Related Experiment Video For Androgen receptor
Updated: Feb 25, 2026

Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material
Published on: August 1, 2018
Androgen Receptor Expression in an Indian Breast Cancer Cohort with Relation to Molecular Subtypes and Response to
Akshay Anand1, Kul R Singh2, Surender Kumar1
1Department of Surgery, King George's Medical University, Lucknow, India.
Background:
Breast cancer (BC) is associated with advanced presentation in developing countries like India due to various socio-economic factors. The presence of BC molecular subtypes such as the triple-negative (TN) subtype adds to this menace. Androgen receptor (AR) is emerging as a new biological marker. The aim of this study was to examine the prevalence of AR with relation to different BC subtypes, and its role in predicting response to neoadjuvant chemotherapy.
Methods:
116 cases of invasive BC (infiltrating ductal carcinoma, not otherwise specified) were evaluated. AR expression was correlated with clinicopathological factors, established prognostic markers, BC subtypes and it ability for predicting response to neoadjuvant chemotherapy.
Results:
AR was expressed in 56% of the cases. AR expression was significantly associated with early stage (p < 0.03), low axillary burden (p < 0.04), estrogen receptor (p = 0.002), progesterone receptor (p = 0.001) expression and luminal A molecular subtype. No significant association was observed with age, tumor size and HER2/neu status. One-third of TNBC cases expressed AR. Higher AR expression corelated to good clinical response to neoadjuvant chemotherapy.
Conclusion:
AR can be utilized as a predictor of response to neoadjuvant chemotherapy especially in developing countries such as India where the load of advanced disease is high.
More Related Videos
06:42Optimization of Breast Biopsy and Mastectomy Sample Collection Procedures for Biobanking, Personalized Medicine, and Research Applications
Published on: September 2, 2025
07:41Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019