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CHIMERA-DDR: A Machine Learning Framework for Classifying Heterogeneous Mismatch-Repair and Homologous-Recombination Deficiency Patterns in Prostate Cancer

2025-10-14

Abstract excerpt

<h4>ABSTRACT</h4> Current DNA damage repair (DDR) biomarkers employ binary classifications that fail to capture the molecular complexity of tumors with concurrent repair deficiencies. We used genomics analysis to stratify 672 metastatic prostate cancer patients into 11 DDR subgroups, identifying 51 molecular signatures with weighted roles in class identity. We identified a tumor-mutational-burden very-high subset...

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Literature Corpus work: 9b6066b8-a064-5dd9-b9a4-b637a8d34593
DOI: 10.1101/2025.10.08.680958

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