Abstract Background: Breast cancer is the second-most common cancer worldwide and it is the most frequent cause of death due to cancer in women in India. Management of breast cancer requires multidisciplinary treatment. There are very limited data on clinicopathological features and patterns of care for breast cancer in resource-constrained area. Objectives: The objective of the study was to describe the clinicopathological feature of breast cancer and patterns of care provided to breast cancer patients in a peripheral tertiary care teaching institute catering to a rural population. Methods: A retrospective cross-sectional study including 252 histologically proven breast cancer patients was done from January 2022 to December 2022. Clinical characteristics, diagnostic, treatment details, and patterns of care of individual patients were reviewed and compiled in a case record form and the data were analyzed. Results: Two hundred and fifty-two patients were included in the study. 90.9% of patient has infiltrating duct carcinoma. The median age of presentation is 46 years. 50.8% were postmenopausal. The left breast was involved in 56.7%. 47.6% had locally advanced disease and 9.5% had metastatic disease at presentation. 2.4% of patients had a positive family history, and only 45.6% of patients had known immunohistochemistry (IHC) status out of which 46.9% were estrogen receptor positive, 40% were progesterone receptor positive, 13% were Her 2 neu positive, and 46.9% were triple-negative breast cancer. 88.9% of patients underwent Modified Radical Mastectomy. Conclusions: Although breast cancer remains a major clinical problem in India, there are wide disparities in patterns of care among urban fully equipped state-of-the-art centers and peripheral centers catering majorly to a rural population. Our audit shows the majority of patients presenting with advanced disease, not having an IHC report and undergoing mastectomy which reflects both lack of screening, awareness as well as resource constraints that can challenge the delivery of optimal care.
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