Investigating proteogenomic divergence in patient-derived xenograft models of ovarian cancer.

ABSTRACT: Within ovarian cancer research, patient-derived xenograft (PDX) models recapitulate histologic features and genomic aberrations found in original tumors. However, conflicting data from published studies have demonstrated significant transcriptional differences between PDXs and original tumors, challenging the fidelity of these models. We employed a quantitative mass spectrometry-based proteomic approach coupled with generation of patient-specific databases using RNA-seq data to investigate the proteogenomic landscape of serially-passaged PDX models established from two patients with distinct subtypes of ovarian cancer. We demonstrate that the utilization of patient-specific databases guided by transcriptional profiles increases the depth of human protein identification in PDX models. Our d

SUBMITTER: Perez JM 

PROVIDER: S-EPMC11700199 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature