Article

Unmasking Neuroendocrine Prostate Cancer with a Machine Learning-Driven 7-Gene Stemness Signature that Predicts Progression

2024-09-25

Abstract excerpt

<h4>ABSTRACT</h4> Prostate cancer (PCa) poses a significant global health challenge, particularly due to its progression into aggressive forms like neuroendocrine prostate cancer (NEPC). This study developed and validated a stemness-associated gene signature using advanced machine learning techniques, including Random Forest and Lasso regression, applied to large-scale transcriptomic datasets. The resulting 7-gene...

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Literature Corpus work: f29ee682-a1db-55c2-b7c0-a571b6e6e020
DOI: 10.1101/2024.09.24.24314303

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