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Dissecting Breast Cancer Heterogeneity Through Transcriptomics Insights of Diverse Etiological Factors for Common Biomarker Discovery

2024-10-23

Abstract excerpt

Breast cancer has many different causes, and the key to finding effective treatments is understanding the disease’s heterogeneity. The present study used three gene expression datasets from 110 female samples related to stress, drug and hormonal imbalance, diet and nutrition, and physical activity and light exposure at night to predict differential gene expression. Interestingly, all gene expression datasets share...

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Identifiers and source

Literature Corpus work
4637e69d-58d0-502c-af90-23fb684f085a
DOI
10.1101/2024.10.20.619262
Open publication

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Dissecting Breast Cancer Heterogeneity Through Transcriptomics Insights of Diverse Etiological Factors for Common Biomarker DiscoveryDOI 10.1101/2024.10.20.619262
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