A two-tiered targeted proteomics approach to identify pre-diagnostic biomarkers of colorectal cancer risk.

ABSTRACT: Colorectal cancer prognosis is dependent on stage, and measures to improve early detection are urgently needed. Using prospectively collected plasma samples from the population-based Northern Sweden Health and Disease Study, we evaluated protein biomarkers in relation to colorectal cancer risk. Applying a two-tiered approach, we analyzed 160 proteins in matched sequential samples from 58 incident colorectal cancer case-control pairs. Twenty-one proteins selected from both this discovery phase and the literature were then analyzed in a validation set of 450 case-control pairs. Odds ratios were estimated by conditional logistic regression. LASSO regression and ROC analysis were used for multi-marker analyses. In the main validation analysis, no proteins retained statistical significance. How

SUBMITTER: Harlid S 

PROVIDER: S-EPMC7933352 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature