Evidence map›Paper›PMID 42440003›Full record

ArticleBreast cancer (Tokyo, Japan)2026

Risk factors associated with molecular subtypes of breast cancer among indian women: a multicentre matched case-control study.

Preethi Sara George, Aleyamma Mathew, Tanvir Kaur, R S Dhaliwal, Rekha A Nair, Pranay Tanwar, Showket Hussain, Usha Agrawal, Goura Kishor Rath, Breast Cancer Task Force Study Group

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Article in Breast cancer (Tokyo, Japan), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

10 authors.

Preethi Sara GeorgeRegional Cancer Centre, Thiruvananthapuram, Kerala, 695011, India.
Aleyamma MathewRegional Cancer Centre, Thiruvananthapuram, Kerala, 695011, India. aleyammamathewrcc@gmail.com.ORCID http://orcid.org/0000-0002-1574-7356
Tanvir KaurDivision of Non‑Communicable Diseases, Indian Council of Medical Research, New Delhi, India.
R S DhaliwalDivision of Non‑Communicable Diseases, Indian Council of Medical Research, New Delhi, India.
Rekha A NairRegional Cancer Centre, Thiruvananthapuram, Kerala, 695011, India.
Pranay TanwarDr. B. R. A.-Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India.
Showket HussainNational Institute of Cancer Prevention and Research, Noida, India.
Usha AgrawalICMR-National Institute of Pathology, New Delhi, India.
Goura Kishor RathDr. B. R. A.-Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India.
Breast Cancer Task Force Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer is a biologically diverse disease with distinct molecular subtypes, each linked to specific risks and outcomes. However, subtype-specific risk factors remain insufficiently explored, particularly in diverse populations such as Indian women. This study examined the associations of reproductive, lifestyle, and psychosocial factors with the risk of developing breast cancer subtypes defined by hormone receptor (HR) and human epidermal growth factor receptor-2 (HER2) status. MATERIALS AND

methodsWe conducted a multicentric matched case-control study among Indian women at three tertiary cancer centres. Pathologically confirmed breast cancer cases and age-matched controls were recruited, and detailed information on socio-demographic, reproductive, lifestyle, and psychosocial characteristics was collected through structured interviews. Breast cancer cases were classified into four molecular subtypes (HR+HER2-, HR+HER2+, HR-HER2+, and HR-HER2-). Multivariable conditional logistic regression models were used to estimate subtype-specific odds ratios and 95% confidence intervals.

resultsHR+HER2 - was the most prevalent subtype. Increased risks for this subtype were observed among women with later age at marriage, artificial menopause, prolonged breastfeeding, unmarried status, obesity in midlife, frequent fried-food consumption, benign breast disease, and higher psychological stress. HR+HER2 + breast cancer was strongly associated with artificial menopause and low physical activity. HR-HER2 - breast cancer was linked to artificial menopause, family history of ovarian cancer, passive smoking, limited physical activity, and psychosocial stress.

conclusionDistinct molecular subtypes of breast cancer among Indian women exhibit heterogeneous risk profiles shaped by reproductive, lifestyle, and psychosocial factors. This underscores the need for targeted public health strategies focusing on modifiable risk factors such as promoting breastfeeding, maintaining healthy body weight, increasing physical activity, and improving dietary habits. Enhancing psychosocial well-being, awareness of family history, community education, and early screening programmes may help reduce the breast cancer burden in India.

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Breast cancer subtypesCase–control studyIndian womenLifestyle factorsReproductive risk factors

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.