Effect of fibroblast heterogeneity on prognosis and drug resistance in high-grade serous ovarian cancer.

ABSTRACT: Tumor heterogeneity is associated with poor prognosis and drug resistance, leading to therapeutic failure. Here, we used tumor evolution analysis to determine the intra- and intertumoral heterogeneity of high-grade serous ovarian cancer (HGSOC) and analyze the correlation between tumor heterogeneity and prognosis, as well as chemotherapy response, through single-cell and spatial transcriptomic analysis. We collected and curated 28 HGSOC patients' single-cell transcriptomic data from five datasets. Then, we developed a novel text-mining-based machine-learning approach to deconstruct the evolutionary patterns of tumor cell functions. We then identified key tumor-related genes within different evolutionary branches, characterized the microenvironmental cell compositions that various functiona

SUBMITTER: Wang T 

PROVIDER: S-EPMC11535537 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature