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Predicting neoadjuvant treatment response in triple-negative breast cancer using machine learning

2023-04-20

Abstract excerpt

<h4>Background</h4> Neoadjuvant chemotherapy (NAC) is the standard treatment for early-stage triple negative breast cancer (TNBC). The primary endpoint of NAC is a pathological complete response (pCR). NAC results in pCR in only 30%–40% of TNBC patients. Tumor-infiltrating lymphocytes (TILs), Ki67 and phosphohistone H3 (pH3) are a few known biomarkers to predict NAC response. Currently, systematic evaluation of t...

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Literature Corpus work
fecc1bf2-7d34-59cf-96cb-53ad5f8ccb2c
DOI
10.1101/2023.04.17.536459
Open publication

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Predicting neoadjuvant treatment response in triple-negative breast cancer using machine learningDOI 10.1101/2023.04.17.536459
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