Xiaokang Wang1, Danwen Wang2, Haoran Zhang1, Maohui Feng2, Xiongzhi Wu1. 1. Key Laboratory of Cancer Prevention & Therapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute & Hospital, Tianjin 300000, PR China. 2. Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Clinical Cancer Study Center of Hubei Province, Wuhan 430000, PR China.
Abstract
Aim: To identify a panel of DNA methylation markers for the early diagnosis of colorectal cancer (CRC). Materials & methods: Using public omics data and our pyrosequencing data, we developed and validated a global methylation model and a CpG-methylation-based model for CRC screening. Results: Both of the models yielded high sensitivity and specificity for distinguishing CRC and its precursors (colorectal adenoma and colorectal laterally spreading tumor) from normal controls in eight independent datasets and our newly collected samples. More importantly, the two-CpG-based model showed high specificity in excluding inflammatory bowel diseases and other 13 cancer types. Conclusion: A diagnostic model based on two CpGs (cg09239744 and cg12587766) may be a powerful tool for CRC screening.
Aim: To identify a panel of DNA methylation markers for the early diagnosis of colorectal cancer (CRC). Materials & methods: Using public omics data and our pyrosequencing data, we developed and validated a global methylation model and a CpG-methylation-based model for CRC screening. Results: Both of the models yielded high sensitivity and specificity for distinguishing CRC and its precursors (colorectal adenoma and colorectal laterally spreading tumor) from normal controls in eight independent datasets and our newly collected samples. More importantly, the two-CpG-based model showed high specificity in excluding inflammatory bowel diseases and other 13 cancer types. Conclusion: A diagnostic model based on two CpGs (cg09239744 and cg12587766) may be a powerful tool for CRC screening.
Authors: Hélder Almeida-Lousada; André Mestre; Sara Ramalhete; Aryeh J Price; Ramon Andrade de Mello; Ana D Marreiros; Ricardo Pires das Neves; Pedro Castelo-Branco Journal: Curr Oncol Date: 2021-11-20 Impact factor: 3.677