{"title":"早期大肠癌诊断:新型甲基化粪便 DNA 模型提高了诊断效率。","authors":"Peng Yun, Kamila Kulaixijiang, Jiang Pan, Luping Yang, Nengzhuang Wang, Zheng Xu, Yaodong Zhang, Haifang Cai, Zi-Ye Zhao, Min Zhu, Hongli Yan","doi":"10.1002/ueg2.12696","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Methylated stool DNA (sDNA) is a reliable noninvasive biomarker for early colorectal cancer (CRC) diagnosis. However, there are barely any diagnostic panels that can achieve both a sensitivity and specificity exceeding 90% simultaneously.</p><p><strong>Objective: </strong>We aimed to identify a novel methylated sDNA panel and model for the early diagnosis of CRC.</p><p><strong>Methods: </strong>We conducted methyl-CpG binding domain isolated genome sequencing (MiGS) on CpG island methylation phenotype (CIMP)-positive (n = 3) and CIMP-negative CRC tissues (n = 3) and their corresponding normal adjacent tissues. Subsequently, by utilizing both the aforementioned data and public datasets, we identified a set of promising methylated sDNA markers for CRC. Next, we validated 5 of these genes using pyrosequencing in CRC patients (n = 31). Then, we developed a combined diagnostic model (CDM) for CRC based on the methylation status of PRDM12, FOXE1, and SDC2 by a Training cohort (n = 231). Finally, the performance of CDM was evaluated in an independent multicenter Validation cohort (n = 800).</p><p><strong>Results: </strong>A total of 1062 participants were included in this study. The area under the curve (AUC) of the CDM was 0.979 (95% CI: 0.960-0.997), and the optimal sensitivity and specificity were 97.35% and 99.05%, respectively, in the training cohort (n = 231). In the independent validation cohort (n = 800), the AUC was 0.950 (95% CI: 0.927-0.973), along with the optimal sensitivity of 92.75% and specificity of 97.21%. When CRC and advanced adenoma (AAD) were used as diagnostic targets, the model AUC was 0.945 (95% CI: 0.922-0.969), with an optimal sensitivity of 91.89% and a specificity of 95.21%. The model sensitivity for nonadvanced adenoma patients was 68.66%.</p><p><strong>Conclusion: </strong>The sDNA diagnostic model CDM, developed from both CIMP-P and CIMP-N, exhibited exceptional performance in CRC and could serve as a potential alternative strategy for CRC screening.</p>","PeriodicalId":23444,"journal":{"name":"United European Gastroenterology Journal","volume":" ","pages":""},"PeriodicalIF":5.8000,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Early colorectal cancer diagnosis: A novel methylated stool DNA model enhanced the diagnostic efficiency.\",\"authors\":\"Peng Yun, Kamila Kulaixijiang, Jiang Pan, Luping Yang, Nengzhuang Wang, Zheng Xu, Yaodong Zhang, Haifang Cai, Zi-Ye Zhao, Min Zhu, Hongli Yan\",\"doi\":\"10.1002/ueg2.12696\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Methylated stool DNA (sDNA) is a reliable noninvasive biomarker for early colorectal cancer (CRC) diagnosis. However, there are barely any diagnostic panels that can achieve both a sensitivity and specificity exceeding 90% simultaneously.</p><p><strong>Objective: </strong>We aimed to identify a novel methylated sDNA panel and model for the early diagnosis of CRC.</p><p><strong>Methods: </strong>We conducted methyl-CpG binding domain isolated genome sequencing (MiGS) on CpG island methylation phenotype (CIMP)-positive (n = 3) and CIMP-negative CRC tissues (n = 3) and their corresponding normal adjacent tissues. Subsequently, by utilizing both the aforementioned data and public datasets, we identified a set of promising methylated sDNA markers for CRC. Next, we validated 5 of these genes using pyrosequencing in CRC patients (n = 31). Then, we developed a combined diagnostic model (CDM) for CRC based on the methylation status of PRDM12, FOXE1, and SDC2 by a Training cohort (n = 231). Finally, the performance of CDM was evaluated in an independent multicenter Validation cohort (n = 800).</p><p><strong>Results: </strong>A total of 1062 participants were included in this study. The area under the curve (AUC) of the CDM was 0.979 (95% CI: 0.960-0.997), and the optimal sensitivity and specificity were 97.35% and 99.05%, respectively, in the training cohort (n = 231). In the independent validation cohort (n = 800), the AUC was 0.950 (95% CI: 0.927-0.973), along with the optimal sensitivity of 92.75% and specificity of 97.21%. When CRC and advanced adenoma (AAD) were used as diagnostic targets, the model AUC was 0.945 (95% CI: 0.922-0.969), with an optimal sensitivity of 91.89% and a specificity of 95.21%. The model sensitivity for nonadvanced adenoma patients was 68.66%.</p><p><strong>Conclusion: </strong>The sDNA diagnostic model CDM, developed from both CIMP-P and CIMP-N, exhibited exceptional performance in CRC and could serve as a potential alternative strategy for CRC screening.</p>\",\"PeriodicalId\":23444,\"journal\":{\"name\":\"United European Gastroenterology Journal\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":5.8000,\"publicationDate\":\"2024-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"United European Gastroenterology Journal\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1002/ueg2.12696\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GASTROENTEROLOGY & HEPATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"United European Gastroenterology Journal","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/ueg2.12696","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GASTROENTEROLOGY & HEPATOLOGY","Score":null,"Total":0}
Early colorectal cancer diagnosis: A novel methylated stool DNA model enhanced the diagnostic efficiency.
Background: Methylated stool DNA (sDNA) is a reliable noninvasive biomarker for early colorectal cancer (CRC) diagnosis. However, there are barely any diagnostic panels that can achieve both a sensitivity and specificity exceeding 90% simultaneously.
Objective: We aimed to identify a novel methylated sDNA panel and model for the early diagnosis of CRC.
Methods: We conducted methyl-CpG binding domain isolated genome sequencing (MiGS) on CpG island methylation phenotype (CIMP)-positive (n = 3) and CIMP-negative CRC tissues (n = 3) and their corresponding normal adjacent tissues. Subsequently, by utilizing both the aforementioned data and public datasets, we identified a set of promising methylated sDNA markers for CRC. Next, we validated 5 of these genes using pyrosequencing in CRC patients (n = 31). Then, we developed a combined diagnostic model (CDM) for CRC based on the methylation status of PRDM12, FOXE1, and SDC2 by a Training cohort (n = 231). Finally, the performance of CDM was evaluated in an independent multicenter Validation cohort (n = 800).
Results: A total of 1062 participants were included in this study. The area under the curve (AUC) of the CDM was 0.979 (95% CI: 0.960-0.997), and the optimal sensitivity and specificity were 97.35% and 99.05%, respectively, in the training cohort (n = 231). In the independent validation cohort (n = 800), the AUC was 0.950 (95% CI: 0.927-0.973), along with the optimal sensitivity of 92.75% and specificity of 97.21%. When CRC and advanced adenoma (AAD) were used as diagnostic targets, the model AUC was 0.945 (95% CI: 0.922-0.969), with an optimal sensitivity of 91.89% and a specificity of 95.21%. The model sensitivity for nonadvanced adenoma patients was 68.66%.
Conclusion: The sDNA diagnostic model CDM, developed from both CIMP-P and CIMP-N, exhibited exceptional performance in CRC and could serve as a potential alternative strategy for CRC screening.
期刊介绍:
United European Gastroenterology Journal (UEG Journal) is the official Journal of the United European Gastroenterology (UEG), a professional non-profit organisation combining all the leading European societies concerned with digestive disease. UEG’s member societies represent over 22,000 specialists working across medicine, surgery, paediatrics, GI oncology and endoscopy, which makes UEG a unique platform for collaboration and the exchange of knowledge.