Construction of a prognostic prediction model for concurrent radiotherapy in cervical cancer using GEO and TCGA databases with preliminary validation analysis
The results indicate that MPP5, SNX7, LSM12, and GALNT3 are significantly associated with radiotherapy sensitivity in CC cells. A prognostic risk model based on these genes demonstrated strong predictive capabilities for patient outcomes in radiotherapy, suggesting these genes as effective predictors and potential therapeutic targets for treating CC.
Authors
- Siqi Yang (ORCID: https://orcid.org/0009-0000-3057-1160)
- Xinyao Zhao
- Q. Y. Su
- Jianan Wang (ORCID: https://orcid.org/0000-0003-0409-8941)
- Shanshan Yang (ORCID: https://orcid.org/0000-0003-3729-7795)
- J Xia (ORCID: https://orcid.org/0009-0006-7798-0731)
- Yajuan Sun
- Lijia Liu
Institutions
- Harbin Medical University (CN)
- Third Affiliated Hospital of Harbin Medical University (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-10-31
- DOI
- https://doi.org/10.1371/journal.pone.0334281
- Primary Topic
- Endometrial and Cervical Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00