期刊
ECLINICALMEDICINE
卷 55, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.eclinm.2022.101717
关键词
ctDNA methylation; Early detection; Prognosis prediction; Precancerous adenomas; Colorectal cancer
This study developed a noninvasive detection method for early detection and prognosis prediction of colorectal cancer based on circulating tumor DNA (ctDNA) methylation haplotype patterns. The analysis of plasma samples from 1138 individuals revealed the accuracy of ctDNA methylation patterns in distinguishing healthy individuals, advanced adenoma patients, and colorectal cancer patients. The method showed high accuracy and sensitivity, and high methylation levels were associated with poor prognosis.
Background Early detection and prognosis prediction of colorectal cancer (CRC) can significantly reduce CRC-related mortality. Recently, circulating tumour DNA (ctDNA) methylation has shown good application foreground in the early detection and prognosis prediction of multiple tumours. Methods This multicentre cohort study evaluated ctDNA methylation haplotype patterns based on archived plasma samples (collected between 2010 and 2018) from 1138 individuals at two medical centres: Fudan University Shanghai Cancer Center (Shanghai, China) and Southern Medical University Nanfang Hospital (Guangzhou, Guangdong, China), including 366 healthy individuals, 182 patients with advanced adenoma (AA), and 590 patients with CRC. Samples were processed using the ColonES assay, a targeted bisulfite sequencing method that detects ctDNA methylation haplotype patterns in 191 genomic regions. Among these 1138 samples, 748 were used to develop a classification model, and 390 served as a blinded cohort for independent validation. The study is registered at https://register.clinicaltrials.gov with the unique identifier NCT03737591. Results The model obtained from unblinded samples discriminated patients with CRC or AA from normal controls with high accuracy. In the blinded validation set, the ColonES assay achieved sensitivity values of 79.0% (95% confidence interval (CI), 66%-88%) in AA patients and 86.6% (95% CI, 81%-91%) in CRC patients with a specificity of 88.1% (95% CI, 81%-93%) in healthy individuals. The model area under the curve (AUC) for the blinded validation set was 0.903 for AA samples and 0.937 for CRC samples. Additionally, the prognosis of patients with high preoperative ctDNA methylation levels was worse than that of patients with low ctDNA methylation levels (p = 0.001 for relapse-free survival and p = 0.004 for overall survival). Interpretation We successfully developed and validated an accurate, noninvasive detection method based on ctDNA methylation haplotype patterns that may enable early detection and prognosis prediction for CRC. Copyright (C) 2022 The Author(s). Published by Elsevier Ltd.
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