{"title":"m6A RNA甲基化调控因子在子宫内膜癌中的基因特征及预后价值。","authors":"Yuanling Feng, Chunfang Yao, Jiayu Shen, Jianwei Zhou","doi":"","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Uterine corpus endometrial carcinoma (UCEC) is the second most common malignancy of female reproductive system. Though most UCEC are diagnosed at an early age, the mortality has increased. It is important to develop new targets for prognosis evaluation and treatment.</p><p><strong>Methods: </strong>Expression profiles of 19 m6A regulators and UCEC samples' epidemiologic information were obtained from GTEx and TCGA datasets. Nonnegative matrix factorization (NMF) was used to cluster UCEC samples into three groups and overall survival (OS) was compared among them. Multivariate cox proportional hazard model was used to select targets for the construction of m6A-related prognosis prediction signature. A nomogram consisting of m6A-related signature, stage, and histology was provided for clinical application.</p><p><strong>Results: </strong>Eighteen m6A regulators were found to be differentially expressed between normal sample and UCEC samples. There was a significant difference in the OS probability among three clusters with different expression levels of m6A. VIRMA, YTHDF3, and IGF2BP1 were picked as UCEC prognosis prediction signatures and the prognostic value was confirmed. Risk score estimated by this signature was demonstrated to be the independent prognostic factor for UCEC.</p><p><strong>Conclusion: </strong>Aberrant expression of m6A RNA methylation regulators was significantly associated with the development and prognosis of UCEC. A three-gene signature consisting of VIRMA, YTHDF3, and IGF2BP1 may effectively predict the prognosis of UCEC patients.</p>","PeriodicalId":11379,"journal":{"name":"Discovery medicine","volume":"31 164","pages":"111-120"},"PeriodicalIF":2.0000,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Gene Signatures and Prognostic Value of m6A RNA Methylation Regulators in Uterine Corpus Endometrial Carcinoma.\",\"authors\":\"Yuanling Feng, Chunfang Yao, Jiayu Shen, Jianwei Zhou\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Uterine corpus endometrial carcinoma (UCEC) is the second most common malignancy of female reproductive system. Though most UCEC are diagnosed at an early age, the mortality has increased. It is important to develop new targets for prognosis evaluation and treatment.</p><p><strong>Methods: </strong>Expression profiles of 19 m6A regulators and UCEC samples' epidemiologic information were obtained from GTEx and TCGA datasets. Nonnegative matrix factorization (NMF) was used to cluster UCEC samples into three groups and overall survival (OS) was compared among them. Multivariate cox proportional hazard model was used to select targets for the construction of m6A-related prognosis prediction signature. A nomogram consisting of m6A-related signature, stage, and histology was provided for clinical application.</p><p><strong>Results: </strong>Eighteen m6A regulators were found to be differentially expressed between normal sample and UCEC samples. There was a significant difference in the OS probability among three clusters with different expression levels of m6A. VIRMA, YTHDF3, and IGF2BP1 were picked as UCEC prognosis prediction signatures and the prognostic value was confirmed. Risk score estimated by this signature was demonstrated to be the independent prognostic factor for UCEC.</p><p><strong>Conclusion: </strong>Aberrant expression of m6A RNA methylation regulators was significantly associated with the development and prognosis of UCEC. A three-gene signature consisting of VIRMA, YTHDF3, and IGF2BP1 may effectively predict the prognosis of UCEC patients.</p>\",\"PeriodicalId\":11379,\"journal\":{\"name\":\"Discovery medicine\",\"volume\":\"31 164\",\"pages\":\"111-120\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2021-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Discovery medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Discovery medicine","FirstCategoryId":"3","ListUrlMain":"","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
Gene Signatures and Prognostic Value of m6A RNA Methylation Regulators in Uterine Corpus Endometrial Carcinoma.
Background: Uterine corpus endometrial carcinoma (UCEC) is the second most common malignancy of female reproductive system. Though most UCEC are diagnosed at an early age, the mortality has increased. It is important to develop new targets for prognosis evaluation and treatment.
Methods: Expression profiles of 19 m6A regulators and UCEC samples' epidemiologic information were obtained from GTEx and TCGA datasets. Nonnegative matrix factorization (NMF) was used to cluster UCEC samples into three groups and overall survival (OS) was compared among them. Multivariate cox proportional hazard model was used to select targets for the construction of m6A-related prognosis prediction signature. A nomogram consisting of m6A-related signature, stage, and histology was provided for clinical application.
Results: Eighteen m6A regulators were found to be differentially expressed between normal sample and UCEC samples. There was a significant difference in the OS probability among three clusters with different expression levels of m6A. VIRMA, YTHDF3, and IGF2BP1 were picked as UCEC prognosis prediction signatures and the prognostic value was confirmed. Risk score estimated by this signature was demonstrated to be the independent prognostic factor for UCEC.
Conclusion: Aberrant expression of m6A RNA methylation regulators was significantly associated with the development and prognosis of UCEC. A three-gene signature consisting of VIRMA, YTHDF3, and IGF2BP1 may effectively predict the prognosis of UCEC patients.
期刊介绍：
Discovery Medicine publishes novel, provocative ideas and research findings that challenge conventional notions about disease mechanisms, diagnosis, treatment, or any of the life sciences subjects. It publishes cutting-edge, reliable, and authoritative information in all branches of life sciences but primarily in the following areas: Novel therapies and diagnostics (approved or experimental); innovative ideas, research technologies, and translational research that will give rise to the next generation of new drugs and therapies; breakthrough understanding of mechanism of disease, biology, and physiology; and commercialization of biomedical discoveries pertaining to the development of new drugs, therapies, medical devices, and research technology.
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