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October 10, 2025Open Access

Identification of an Immunologic gene signature in prediction the prognosis and therapeutic responses of ovarian cancer

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Authors

RCRun ChenSZShanshan ZhaoZLZhaolei Li

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Overview

Analysis identifies immune-related genes affecting prognosis and treatment responses in ovarian cancer, suggesting potential for improved patient outcomes.

Key Points

  • A risk assessment model using five immune-related genes significantly predicts overall survival in ovarian cancer patients.
  • Patients in the high-risk cohort exhibited a substantially lower survival rate and higher recurrence rates than those in the low-risk cohort.
  • LASSO regression analysis facilitated the identification of crucial immune genes from transcriptome data, establishing a reliable predictive model.
  • The risk model also indicates the likelihood of response to chemotherapy and immunotherapy for ovarian cancer patients.

Cite This Study

Chen et al. (2025) studied this question.

synapsesocial.com/papers/68e861857ef2f04ca37e3c8ahttps://doi.org/10.21203/rs.3.rs-7455989/v1
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