Identification of a prognostic signature in colorectal cancer using combinatorial algorithm-driven analysis.

ABSTRACT: Colorectal carcinoma is one of the most common types of malignancy and a leading cause of cancer-related death. Although clinicopathological parameters provide invaluable prognostic information, the accuracy of prognosis can be improved by using molecular biomarker signatures. Using a large dataset of immunohistochemistry-based biomarkers (n = 66), this study has developed an effective methodology for identifying optimal biomarker combinations as a prognostic tool. Biomarkers were screened and assigned to related subsets before being analysed using an iterative algorithm customised for evaluating combinatorial interactions between biomarkers based on their combined statistical power. A signature consisting of six biomarkers was identified as the best combination in terms of prognostic powe

SUBMITTER: Alnabulsi A 

PROVIDER: S-EPMC8977276 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature