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Multiomics Approach to Understanding Olaparib Resistance and Predicting Drug Response

2023-04-06

Abstract excerpt

We aimed to uncover genetic factors affecting resistance to the cancer drug olaparib. To do this, we utilized multiomics matrix factorization (MOFA), a multiomics approach, to explore omic-based features that might become biomarker candidates. Our results showed that 17 damaging mutations, 6 gene expression signatures, 17 DNA methylations, and 26 transcription-factor activities can impact the refractory response t...

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Identifiers and source

Literature Corpus work
5017a72a-60b8-5cfd-a0f8-eb38d5252467
DOI
10.1101/2023.04.04.535542
Open publication

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Multiomics Approach to Understanding Olaparib Resistance and Predicting Drug ResponseDOI 10.1101/2023.04.04.535542
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