View clinical trials related to Advanced Adenoma.
Filter by:The primary objective of the study is to screen multi-omics markers in blood samples and construct a prediction model for CRC based on liquid biopsy, and we will further optimize the prediction model by validating its clinical performance externally.
The investigators aim to evaluate the diagnostic accuracy of FIT and the novel panel of four bacterial gene markers collectively named as M3, to detect recurrent advanced adenomas in patients with history of colonic adenomas.
Colorectal cancer is a common malignant tumor of the digestive tract. It is still a challenging task to detect colorectal cancer at an early stage. Studies have found that DNA methylation has a relationship with the occurrence and development of tumors. Singlera Genomics Inc. has invented the proprietary methyl-Titan sequencing technology and developed a detection method for colorectal cancer and advanced adenoma (Adenoma/Colorectal cancer Early detection, ACE) using the cancer-specific methylation markers. ACE is a blood-based non-invasive diagnostic technique. It has high compliance rate compared with colonoscopy, and sampling is more convenient than stool testing. It also has much higher sensitivity compared to existing blood testing methods. The current study plans to use ACE method to analyze ctDNA in the blood for the cancer-specific DNA methylation markers to aid in the differential diagnosis of patients with colorectal cancer or adenoma. This technique will greatly reduce the discomfort in the diagnosis of suspected patients and improve the diagnosis of high-risk population of colorectal cancer. The goals of this study are: 1) to establish a detection system based on plasma ctDNA methylation sequencing technology for the auxiliary diagnosis of colorectal cancer and adenoma, 2) to assess the diagnostic value of plasma ctDNA methylation signature for colorectal cancer and adenoma, and 3) to assess the association of plasma ctDNA methylation signals with colonoscopy results and pathological results of surgical specimens. A total of 1300 patients (700 cases positive and 600 cases negative) aging between 45 and 80 years old will be enrolled. Colonoscopy will be performed to determine whether patients are positive or negative. Positive patients who need surgical resection will be further classified according to their surgical histopathological results. For negative patients, the type of lesion will be clarified. The plasma samples of all subjects will be analyzed for cancer-specific ctDNA methylation profiles. Based on the results of plasma ctDNA methylation test, the risks of colorectal cancer of the enrolled subjects are scored. Combined with the grouping information, the clinical application value of the cancer-specific methylation profile for early cancer diagnosis will be assessed.