{"title":"Integrating Multi-Omics in Endometrial Cancer: From Molecular Insights to Clinical Applications.","authors":"Hye Kyeong Kim, Taejin Kim","doi":"10.3390/cells14171404","DOIUrl":null,"url":null,"abstract":"<p><p>Endometrial cancer (EC) is the most common gynecologic malignancy in developed countries, and its incidence is increasing globally. While early-stage ECs generally show good prognosis, advanced or recurrent cases and those with aggressive histologic subtypes exhibit poor outcomes. Traditional histopathologic classification, however, fails to reflect the molecular heterogeneity of EC, limiting its role in guiding treatment. Recent developments in multi-omics have enhanced our understanding of EC biology, which supports more personalized treatment strategies. The Cancer Genome Atlas (TCGA) classification has provided a more systematic molecular framework for stratifying risk and identifying prognostic and therapeutic biomarkers. This review discusses the latest developments in multi-omics-based classification of EC, highlights emerging diagnostic and therapeutic strategies, and summarizes ongoing clinical trials that aim to translate molecular discoveries into improved outcomes.</p>","PeriodicalId":9743,"journal":{"name":"Cells","volume":"14 17","pages":""},"PeriodicalIF":5.2000,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12427776/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cells","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.3390/cells14171404","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Endometrial cancer (EC) is the most common gynecologic malignancy in developed countries, and its incidence is increasing globally. While early-stage ECs generally show good prognosis, advanced or recurrent cases and those with aggressive histologic subtypes exhibit poor outcomes. Traditional histopathologic classification, however, fails to reflect the molecular heterogeneity of EC, limiting its role in guiding treatment. Recent developments in multi-omics have enhanced our understanding of EC biology, which supports more personalized treatment strategies. The Cancer Genome Atlas (TCGA) classification has provided a more systematic molecular framework for stratifying risk and identifying prognostic and therapeutic biomarkers. This review discusses the latest developments in multi-omics-based classification of EC, highlights emerging diagnostic and therapeutic strategies, and summarizes ongoing clinical trials that aim to translate molecular discoveries into improved outcomes.
CellsBiochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
9.90
自引率
5.00%
发文量
3472
审稿时长
16 days
期刊介绍：
Cells (ISSN 2073-4409) is an international, peer-reviewed open access journal which provides an advanced forum for studies related to cell biology, molecular biology and biophysics. It publishes reviews, research articles, communications and technical notes. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. Full experimental and/or methodical details must be provided.
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