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posted on 2022-07-27, 08:12 authored by Figshare Future Science GroupFigshare Future Science Group, Kaitlin A Goettsch, Ling ZhangLing Zhang, Amar B Singh, Punita Dhawan, Dhundy K Bastola

Aims: To combat increases in colorectal cancer (CRC) incidence and mortality, biomarkers among

differentially expressed genes (DEGs) have been identified to objectively detect cancer. However, DEGs

are numerous, and additional parameters may identify more reliable biomarkers. Here, CRC DEGs were

filtered into a prioritized list of biomarkers. Materials & methods: Two independent datasets (COAD-READ

[n = 698] and GSE50760 [n = 36]) were input alternatively to the recently published data-driven reference

method. Results were filtered based on epithelial–mesenchymal transition enrichment (χ-square statistic:

919.05; p = 2.2e-16) to produce 37 potential CRC biomarkers. Results: All 37 genes reliably classified CRC

samples and ETV4, CLDN1 and CA2 together were top-ranked by DDR (accuracy: 89%; F1 score: 0.89).

Conclusion: Biological and statistical information were combined to produce a better set of CRC detection

biomarkers.

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