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ABSTRACT: Background
There are no robust tools for the diagnosis of synchronous colorectal cancer (SyCRC). Herein, we developed the first methylation signature to identify and characterise patients with SyCRC.Methods
For biomarker discovery, we analysed the genome-wide methylation profiles of 16 SyCRC and 18 solitary colorectal cancer (SoCRC) specimens. We thereafter established a methylation signature risk-scoring model to identify SyCRC in an independent cohort of 38 SyCRC and 42 SoCRC patients. In addition, we evaluated the prognostic value of the identified methylation profile.Results
We identified six differentially methylated CpG probes/sites that distinguished SyCRC from SoCRC. In the validation cohort, we developed a methylation panel that identified patients with SyCRC from not only larger tumour (AUC = 0.91) but also the paired remaining tumour (AUC = 0.93). Moreover, high risk scores of our panel were associated with the development of metachronous CRC among patients with SyCRC (AUC = 0.87) and emerged as an independent predictor for relapse-free survival (hazard ratio = 2.72; 95% CI = 1.12-6.61). Furthermore, the risk stratification model which combined with clinical risk factors was a diagnostic predictor of recurrence (AUC = 0.90).Conclusions
Our novel six-gene methylation panel robustly identifies patients with SyCRC, which has the clinical potential to improve the diagnosis and management of patients with CRC.
SUBMITTER: Okada Y
PROVIDER: S-EPMC9814149 | biostudies-literature | 2023 Jan
REPOSITORIES: biostudies-literature
Okada Yasuyuki Y Peng Fuduan F Perea José J Corchete Luis L Bujanda Luis L Li Wei W Goel Ajay A
British journal of cancer 20221101 1
<h4>Background</h4>There are no robust tools for the diagnosis of synchronous colorectal cancer (SyCRC). Herein, we developed the first methylation signature to identify and characterise patients with SyCRC.<h4>Methods</h4>For biomarker discovery, we analysed the genome-wide methylation profiles of 16 SyCRC and 18 solitary colorectal cancer (SoCRC) specimens. We thereafter established a methylation signature risk-scoring model to identify SyCRC in an independent cohort of 38 SyCRC and 42 SoCRC p ...[more]