Clinical significance of human epididymis protein 4 (HE4), cancer antigen 125 (CA125), the risk of ovarian malignancy algorithm (ROMA), and Copenhagen index (CPH-I) for the diagnosis of endometrial carcinoma.
{"title":"Clinical significance of human epididymis protein 4 (HE4), cancer antigen 125 (CA125), the risk of ovarian malignancy algorithm (ROMA), and Copenhagen index (CPH-I) for the diagnosis of endometrial carcinoma.","authors":"Vesselina Koleva, Sevim Shefket, Snezhana Stoencheva","doi":"10.3897/folmed.67.e143849","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Endometrial carcinoma (EC) is the most common gynecological cancer among women, and in more than 90% of cases, the initial manifestation of the disease is postmenopausal bleeding. Unfortunately, despite early diagnosis and treatment, EC often recurs. Among the many serum tumor markers studied, human epididymis protein 4 (HE4) and cancer antigen 125 (CA125) show the most promise as tools for EC diagnosis, prognosis, and monitoring.</p>","PeriodicalId":12415,"journal":{"name":"Folia medica","volume":"67 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Folia medica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3897/folmed.67.e143849","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Dentistry","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Endometrial carcinoma (EC) is the most common gynecological cancer among women, and in more than 90% of cases, the initial manifestation of the disease is postmenopausal bleeding. Unfortunately, despite early diagnosis and treatment, EC often recurs. Among the many serum tumor markers studied, human epididymis protein 4 (HE4) and cancer antigen 125 (CA125) show the most promise as tools for EC diagnosis, prognosis, and monitoring.