ArticleFrontiers in genetics2025
Identification of key genes underlying radiosensitivity and radioresistance in endometrial cancer through integrated bioinformatics analysis.
Article in Frontiers in genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- MARCKS N-terminal sequence-derived inhibitor peptides impair monocytic ROS production and migration via MARCKS-independent effects.Molecular biology reports · 2025Article
- Editorial: Screening and discovering novel biological biomarkers by omic-data to revolutionize tumor management.Frontiers in genetics · 2025Article
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Authors and funding
6 authors.
Funding
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Abstract
Introduction: Radiation therapy is crucial in the treatment of endometrial cancer (UCEC). Patients exhibit significant variability in radiosensitivity, affecting therapeutic effect. Scarcity of studies exploring the gene-radiosensitivity relationship based on clinical data. Underlying molecular mechanisms of radiosensitivity and radioresistance require further investigation. Methods: Study aimed to reveal molecular mechanisms underlying radiosensitivity and radioresistance in UCEC patients. Included 12 radiosensitive and 20 radioresistant UCEC samples. Conducted differential expression analysis to screen for significantly different genes between groups. Applied Lasso regression and randomized survival forest model to identify key genes. Performed functional annotation, correlation analysis, and survival analysis on key genes. Results: Key genes positively correlated with UCEC tumorigenesis-related genes in the radioresistant group. Reduction in the proportion of Macrophages.M0 observed in the radioresistant group, associated with poor prognosis. GO and GSVA analyses revealed biological processes and signaling pathways involved in key genes. High expression of MARCKS, MACC1, and GRB10 correlated with poorer survival rates. High expression of NINJ2 correlated with higher survival rates and higher sensitivity to radiation therapy. Discussion: Study contributes to a deeper understanding of UCEC radiosensitivity. Provides theoretical support for the development of personalized radiotherapy regimens in clinical practice. Potential to improve prognosis and quality of life of patients.
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