Next-generation sequencing outperforms Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) in endometrial cancer molecular classification.
{"title":"Next-generation sequencing outperforms Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) in endometrial cancer molecular classification.","authors":"Takuma Yoshimura, Kohei Nakamura, Tatsuyuki Chiyoda, Reika Takamatsu, Ryutaro Kawano, Eriko Aimono, Miho Kawaida, Kensuke Sakai, Yohei Masugi, Hiroshi Nishihara, Wataru Yamagami","doi":"10.1038/s44276-025-00145-2","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>We aimed to compare the values of next-generation sequencing (NGS) and Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) in redefining the molecular classification of endometrial cancer (EC).</p><p><strong>Methods: </strong>We investigated the relationship between clinical outcomes and molecular subtypes of POLE, microsatellite instability-high (MSI-H), copy number low (CN-L), and copy number high (CN-H) classified by cancer gene panel testing for 145 cancer-related genes, as well as the immunohistochemical status of p53 and mismatch repair genes, in 200 cases of EC.</p><p><strong>Results: </strong>The NGS-based classification identified CN-L subtype as the most prevalent (104/200, 52.0%), followed by MSI-H (38/200, 19.0%), POLE (33/200, 16.5%), and CN-H (25/200, 12.5%). Overall survival differed significantly for the four subtypes based on the NGS (p = 0.006) but not on the ProMisE (p = 0.117) classification. Additional mutations were identified for some POLE subtypes beyond the known hotspots, with 18.2% (6 of 33) showing concurrent MSI-H. Immunohistochemistry showed a p53 wild-type pattern for 12 (48%) CN-H cases, and there was no significant difference in prognosis depending on the p53 status in the CN-H subtype.</p><p><strong>Conclusions: </strong>NGS surpassed ProMisE in EC molecular classification, offering precise stratification and prognostication. Our NGS platform has the potential to contribute to personalized treatment in EC.</p>","PeriodicalId":519964,"journal":{"name":"BJC reports","volume":"3 1","pages":"37"},"PeriodicalIF":0.0000,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12092810/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BJC reports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1038/s44276-025-00145-2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: We aimed to compare the values of next-generation sequencing (NGS) and Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) in redefining the molecular classification of endometrial cancer (EC).
Methods: We investigated the relationship between clinical outcomes and molecular subtypes of POLE, microsatellite instability-high (MSI-H), copy number low (CN-L), and copy number high (CN-H) classified by cancer gene panel testing for 145 cancer-related genes, as well as the immunohistochemical status of p53 and mismatch repair genes, in 200 cases of EC.
Results: The NGS-based classification identified CN-L subtype as the most prevalent (104/200, 52.0%), followed by MSI-H (38/200, 19.0%), POLE (33/200, 16.5%), and CN-H (25/200, 12.5%). Overall survival differed significantly for the four subtypes based on the NGS (p = 0.006) but not on the ProMisE (p = 0.117) classification. Additional mutations were identified for some POLE subtypes beyond the known hotspots, with 18.2% (6 of 33) showing concurrent MSI-H. Immunohistochemistry showed a p53 wild-type pattern for 12 (48%) CN-H cases, and there was no significant difference in prognosis depending on the p53 status in the CN-H subtype.
Conclusions: NGS surpassed ProMisE in EC molecular classification, offering precise stratification and prognostication. Our NGS platform has the potential to contribute to personalized treatment in EC.