{"title":"A Novel Prognostic Model of Endometrial Cancer Based on Inflammation and Lipid Metabolism Genes.","authors":"Linyan Zhu, Haiyan Zhu, Zhao Zhang, Fei Xu, Yong Zhu, Keshuo Ding","doi":"10.1177/19450265251366431","DOIUrl":null,"url":null,"abstract":"<p><p><b><i>Background:</i></b> Endometrial cancer (EC) is a malignancy of the inner epithelial lining of the uterus, with an increasing incidence and disease-associated mortality worldwide. Inflammation and lipid metabolism contribute to EC risk. <b><i>Materials and Methods:</i></b> Differential expression genes (DEGs) in EC and normal samples were analyzed based on the TCGA-UCEC database, and DEGs associated with inflammation and lipid metabolism were screened out to be candidate genes. Prognosis-related genes were analyzed using Cox regression and LASSO regression, and a prognostic model was established. Receiver operating characteristic curves and Kaplan-Meier survival analysis were performed to assess the predictive performance of the prognostic model. Gene Set enrichment analysis, immune infiltration analysis, and gene set variation analysis were performed. Expression of prognostic genes in local tissues was examined by Reverse Transcription Quantitative PCR (RT-qPCR) and immunohistochemistry. Methylthiazolyldiphenyl-tetrazolium bromide assay, migration assay, and wound-healing assay were applied to examine the role of CKMT1B on cell proliferation and migration in EC cell lines. <b><i>Results:</i></b> A prognostic model based on six prognosis-related genes (CKMT1B, NTS, NSG2, H3C1, MAL, ELOA2) was established in EC, and this model had a favorable predictive performance. Respective different pathways and immune cell infiltration were associated with prognostic genes. 5/6 prognostic genes were highly expressed in local EC tissues compared with normal tissues. Knockdown of CKMT1B significantly suppressed cell proliferation and metastasis in EC cell lines. <b><i>Conclusion:</i></b> CKMT1B, NTS, NSG2, H3C1, MAL, and ELOA2 (especially CKMT1B) were important factors in human EC and could be potentially used for risk stratification and prognosis prediction in EC.</p>","PeriodicalId":12603,"journal":{"name":"Genetic testing and molecular biomarkers","volume":" ","pages":"216-231"},"PeriodicalIF":1.0000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genetic testing and molecular biomarkers","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1177/19450265251366431","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/8/14 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Endometrial cancer (EC) is a malignancy of the inner epithelial lining of the uterus, with an increasing incidence and disease-associated mortality worldwide. Inflammation and lipid metabolism contribute to EC risk. Materials and Methods: Differential expression genes (DEGs) in EC and normal samples were analyzed based on the TCGA-UCEC database, and DEGs associated with inflammation and lipid metabolism were screened out to be candidate genes. Prognosis-related genes were analyzed using Cox regression and LASSO regression, and a prognostic model was established. Receiver operating characteristic curves and Kaplan-Meier survival analysis were performed to assess the predictive performance of the prognostic model. Gene Set enrichment analysis, immune infiltration analysis, and gene set variation analysis were performed. Expression of prognostic genes in local tissues was examined by Reverse Transcription Quantitative PCR (RT-qPCR) and immunohistochemistry. Methylthiazolyldiphenyl-tetrazolium bromide assay, migration assay, and wound-healing assay were applied to examine the role of CKMT1B on cell proliferation and migration in EC cell lines. Results: A prognostic model based on six prognosis-related genes (CKMT1B, NTS, NSG2, H3C1, MAL, ELOA2) was established in EC, and this model had a favorable predictive performance. Respective different pathways and immune cell infiltration were associated with prognostic genes. 5/6 prognostic genes were highly expressed in local EC tissues compared with normal tissues. Knockdown of CKMT1B significantly suppressed cell proliferation and metastasis in EC cell lines. Conclusion: CKMT1B, NTS, NSG2, H3C1, MAL, and ELOA2 (especially CKMT1B) were important factors in human EC and could be potentially used for risk stratification and prognosis prediction in EC.
期刊介绍:
Genetic Testing and Molecular Biomarkers is the leading peer-reviewed journal covering all aspects of human genetic testing including molecular biomarkers. The Journal provides a forum for the development of new technology; the application of testing to decision making in an increasingly varied set of clinical situations; ethical, legal, social, and economic aspects of genetic testing; and issues concerning effective genetic counseling. This is the definitive resource for researchers, clinicians, and scientists who develop, perform, and interpret genetic tests and their results.
Genetic Testing and Molecular Biomarkers coverage includes:
-Diagnosis across the life span-
Risk assessment-
Carrier detection in individuals, couples, and populations-
Novel methods and new instrumentation for genetic testing-
Results of molecular, biochemical, and cytogenetic testing-
Genetic counseling