Exploring the Interplay of Adiposity, Ethnicity, and Hormone Receptor Profiles in Breast Cancer Subtypes
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arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866913964236996608 |
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| author | Valdez, Izabel Pramanik, Paramahansa |
| author_facet | Valdez, Izabel Pramanik, Paramahansa |
| contents | This study explores how obesity and race jointly influence the development and prognosis of Luminal subtypes of breast cancer, with a focus on distinguishing Luminal A from the more aggressive Luminal B tumors. Drawing on large-scale epidemiological data and employing statistical approaches such as logistic regression and mediation analysis, the research examines biological factors like estrogen metabolism, adipokines, and chronic inflammation alongside social determinants including healthcare access, socioeconomic status, and cultural attitudes toward body weight. The findings reveal that both obesity and racial background are significant predictors of risk for Luminal B breast cancers. The study highlights the need for a dual approach that combines medical treatment with targeted social interventions aimed at reducing disparities. These insights can improve individualized risk assessments, guide tailored screening programs, and support policies that address the heightened cancer burden experienced by marginalized communities. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_21348 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Exploring the Interplay of Adiposity, Ethnicity, and Hormone Receptor Profiles in Breast Cancer Subtypes Valdez, Izabel Pramanik, Paramahansa Quantitative Methods Applications This study explores how obesity and race jointly influence the development and prognosis of Luminal subtypes of breast cancer, with a focus on distinguishing Luminal A from the more aggressive Luminal B tumors. Drawing on large-scale epidemiological data and employing statistical approaches such as logistic regression and mediation analysis, the research examines biological factors like estrogen metabolism, adipokines, and chronic inflammation alongside social determinants including healthcare access, socioeconomic status, and cultural attitudes toward body weight. The findings reveal that both obesity and racial background are significant predictors of risk for Luminal B breast cancers. The study highlights the need for a dual approach that combines medical treatment with targeted social interventions aimed at reducing disparities. These insights can improve individualized risk assessments, guide tailored screening programs, and support policies that address the heightened cancer burden experienced by marginalized communities. |
| title | Exploring the Interplay of Adiposity, Ethnicity, and Hormone Receptor Profiles in Breast Cancer Subtypes |
| topic | Quantitative Methods Applications |
| url | https://arxiv.org/abs/2507.21348 |