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June 23, 2026Scientific ReportsOpen Access

Identification of macrophage-enriched genes in ovarian cancer by single-cell RNA sequencing and establishment of a prognosis model

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Authors

YGYingrui GuJTJiajia TanLZL C Zhou

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Overview

Randomized trial identifies genes linked to immune response and survival in ovarian cancer, suggesting new treatment targets.

Key Points

  • The aim is to identify macrophage-enriched genes in ovarian cancer and to develop a prognosis model based on these findings.
  • Utilized single-cell RNA sequencing to analyze immune profiles in ovarian cancer and normal tissues.
  • Extracted tumor-associated macrophage modules using hierarchical weighted gene co-expression network analysis (hdWGCNA).
  • Developed a seven-gene prognosis model using univariate/multivariate Cox regression and LASSO methodology.
  • Patients in the low-risk group had significantly longer survival compared to the high-risk group (P < 0.0001).
  • The seven-gene model showed correlation with drug sensitivity and responses to immunotherapy.
  • High-risk patients exhibited increased Dysfunction Score and other immune-related scores compared to low-risk patients (P < 0.01 for Dysfunction Score).

Cite This Study

Gu et al. (2026) studied this question.

synapsesocial.com/papers/6a3a225d111626ef22ab707ehttps://doi.org/10.1038/s41598-026-56858-y
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