Immune cell landscapes are associated with high-grade serous ovarian cancer survival

• Published in: Scientific reports Vol. 14; no. 1; pp. 16140 - 10
• Main Authors: Zhang, Guoan, Zhang, Yan, Zhang, Jingjing, Yang, Xiaohui, Sun, Wenjie, Liu, Ying, Liu, Yingfu
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 12-07-2024; Nature Publishing Group; Nature Portfolio
• Subjects: 631/250; 631/67/327; Aged; Cell ratios; Cell survival; Chemoresistance; Chemotherapy; Cystadenocarcinoma, Serous - genetics; Cystadenocarcinoma, Serous - immunology; Cystadenocarcinoma, Serous - mortality; Cystadenocarcinoma, Serous - pathology; Disease resistance; Drug Resistance, Neoplasm - genetics; Ecotypes; Female; Gene expression; Gene Expression Regulation, Neoplastic; Heterogeneity; High-grade serous ovarian cancer; Humanities and Social Sciences; Humans; Immunoreactivity; Kaplan-Meier Estimate; Macrophage; Middle Aged; multidisciplinary; Neoplasm Grading; Ovarian cancer; Ovarian Neoplasms - drug therapy; Ovarian Neoplasms - genetics; Ovarian Neoplasms - immunology; Ovarian Neoplasms - mortality; Ovarian Neoplasms - pathology; Overall survival; Paclitaxel; Prognosis; Science; Science (multidisciplinary); Survival; T cell activation; Transcriptome; Transcriptomes; Tumor cells; Tumors; Cell ratios; T cell activation; Overall survival; High-grade serous ovarian cancer; Macrophage
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-024-67213-4

High-grade serous ovarian cancer (HGSOC) is an aggressive disease known to develop resistance to chemotherapy. We investigated the prognostic significance of tumor cell states and potential mechanisms underlying chemotherapy resistance in HGSOC. Transcriptome deconvolution was performed to address cellular heterogeneity. Kaplan–Meier survival curves were plotted to illustrate the outcomes of patients with varying cellular abundances. The association between gene expression and chemotherapy response was tested. After adjusting for surgery status and grading, several cell states exhibited a significant correlation with patient survival. Cell states can organize into carcinoma ecotypes (CE). CE9 and CE10 were proinflammatory, characterized by higher immunoreactivity, and were associated with favorable survival outcomes. Ratios of cell states and ecotypes had better prognostic abilities than a single cell state or ecotype. A total of 1265 differentially expressed genes were identified between samples with high and low levels of C9 or CE10. These genes were partitioned into three co-expressed modules, which were associated with tumor cells and immune cells.
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was identified to be linked with immune cell genes and the chemotherapy response of paclitaxel. Collectively, the survival of HGSOC patients is correlated with specific cell states and ecotypes.