A systematic review of datasets that can help elucidate relationships among gene expression, race, and immunohistochemistry-defined subtypes in breast cancer
Author:
Affiliation:
1. Department of Biology, Brigham Young University, Provo, Utah, United States
Publisher
Informa UK Limited
Subject
Cancer Research,Pharmacology,Oncology,Molecular Medicine
Link
https://www.tandfonline.com/doi/pdf/10.1080/15384047.2021.1953902
Reference113 articles.
1. Distinct molecular mechanisms underlying clinically relevant subtypes of breast cancer: gene expression analyses across three different platforms
2. Classification and prognosis of invasive breast cancer: from morphology to molecular taxonomy
3. Meta-analysis of the global gene expression profile of triple-negative breast cancer identifies genes for the prognostication and treatment of aggressive breast cancer
4. US Incidence of Breast Cancer Subtypes Defined by Joint Hormone Receptor and HER2 Status
5. AR negative triple negative or “quadruple negative” breast cancers in African American women have an enriched basal and immune signature
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Annotated Compendium of 102 Breast Cancer Gene-Expression Datasets;2023-09-24
2. Leveraging Deep Learning Techniques and Integrated Omics Data for Tailored Treatment of Breast Cancer;Journal of Personalized Medicine;2022-04-22
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