Identification of key genes underlying radiosensitivity and radioresistance in endometrial cancer through integrated bioinformatics analysis
IntroductionRadiation 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 mechan...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Genetics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2025.1469610/full |
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| author | Chunhui Wan Lei Zhang Ting Yu Hui Lu Han Xiao Juan Du |
| author_facet | Chunhui Wan Lei Zhang Ting Yu Hui Lu Han Xiao Juan Du |
| author_sort | Chunhui Wan |
| collection | DOAJ |
| description | IntroductionRadiation 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.MethodsStudy 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.ResultsKey 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.DiscussionStudy 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. |
| format | Article |
| id | doaj-art-4a5a15b39bd04af4a2ef7397a8e11b81 |
| institution | Kabale University |
| issn | 1664-8021 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Genetics |
| spelling | doaj-art-4a5a15b39bd04af4a2ef7397a8e11b812025-01-24T07:13:47ZengFrontiers Media S.A.Frontiers in Genetics1664-80212025-01-011610.3389/fgene.2025.14696101469610Identification of key genes underlying radiosensitivity and radioresistance in endometrial cancer through integrated bioinformatics analysisChunhui Wan0Lei Zhang1Ting Yu2Hui Lu3Han Xiao4Juan Du5Precision Medical Center, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaPrecision Medical Center, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaPrecision Medical Center, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaInstitute of Maternal and Child Health, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, ChinaInstitute of Maternal and Child Health, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, ChinaInstitute of Maternal and Child Health, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, ChinaIntroductionRadiation 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.MethodsStudy 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.ResultsKey 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.DiscussionStudy 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.https://www.frontiersin.org/articles/10.3389/fgene.2025.1469610/fullendometrial cancer (UCEC)radiation therapyradiosensitivityradioresistancebioinformatics analysis |
| spellingShingle | Chunhui Wan Lei Zhang Ting Yu Hui Lu Han Xiao Juan Du Identification of key genes underlying radiosensitivity and radioresistance in endometrial cancer through integrated bioinformatics analysis Frontiers in Genetics endometrial cancer (UCEC) radiation therapy radiosensitivity radioresistance bioinformatics analysis |
| title | Identification of key genes underlying radiosensitivity and radioresistance in endometrial cancer through integrated bioinformatics analysis |
| title_full | Identification of key genes underlying radiosensitivity and radioresistance in endometrial cancer through integrated bioinformatics analysis |
| title_fullStr | Identification of key genes underlying radiosensitivity and radioresistance in endometrial cancer through integrated bioinformatics analysis |
| title_full_unstemmed | Identification of key genes underlying radiosensitivity and radioresistance in endometrial cancer through integrated bioinformatics analysis |
| title_short | Identification of key genes underlying radiosensitivity and radioresistance in endometrial cancer through integrated bioinformatics analysis |
| title_sort | identification of key genes underlying radiosensitivity and radioresistance in endometrial cancer through integrated bioinformatics analysis |
| topic | endometrial cancer (UCEC) radiation therapy radiosensitivity radioresistance bioinformatics analysis |
| url | https://www.frontiersin.org/articles/10.3389/fgene.2025.1469610/full |
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