{"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":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"3","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
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Abstract
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.
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