Proteogenomic analysis of chemo-refractory high-grade serous ovarian cancer

multiple reaction monitoring Medical Sciences Bioinformatics Cystadenocarcinoma 610 Article Biomedical Informatics proteogenomic high-grade serous ovarian cancer 616 Medical Specialties Medicine and Health Sciences Humans platinum predictive biomarker prognostic biomarker mass spectrometry Proteogenomics Ovarian Neoplasms Serous 3. Good health Cystadenocarcinoma, Serous machine learning Oncology precision oncology chemorefractory Female
DOI: 10.1016/j.cell.2023.07.004 Publication Date: 2023-08-03T14:42:26Z
ABSTRACT
To improve the understanding of chemo-refractory high-grade serous ovarian cancers (HGSOCs), we characterized the proteogenomic landscape of 242 (refractory and sensitive) HGSOCs, representing one discovery and two validation cohorts across two biospecimen types (formalin-fixed paraffin-embedded and frozen). We identified a 64-protein signature that predicts with high specificity a subset of HGSOCs refractory to initial platinum-based therapy and is validated in two independent patient cohorts. We detected significant association between lack of Ch17 loss of heterozygosity (LOH) and chemo-refractoriness. Based on pathway protein expression, we identified 5 clusters of HGSOC, which validated across two independent patient cohorts and patient-derived xenograft (PDX) models. These clusters may represent different mechanisms of refractoriness and implicate putative therapeutic vulnerabilities.
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