Pathway-Specific Insights into Colorectal Cancer through Comprehensive Multi-Omics Data Integration

Thousands of biomarkers have been discovered to solve the mechanism of cancer but dynamic alterations of the parameters affecting the cancer progression cause chaotic disease status. This is the reason why it is essential to deal with cancer with an eye to analyzing all parameters including pathway information to understand the molecular level of action. In our study, we applied multi-omics data integration method for microbiome, transcriptome and microbial pathway datasets obtained from colorectal cancer patients by including the transcriptome pathway information. Cldn7 gene and Fusobacteria were found to be highly associated, and they both take role in stability of intestinal barrier (r= 0.71). Klf3 was another gene that played a significant role in activation of WNT1 and WNT/β-catein pathways and it demonstrated high correlation with Fusobacteria which was also found to be involved in same pathways. In addition, The Glutaryl-CoA degradation and p-cymene degradation pathways demonstrated a strong positive association with the expression of Ahcy, Eis2s2, Hsp90ab1, Psma7, Lbr, Rpl7l1, Cse1l, Cbx3, Ncl, Hspd1, Tpx2, and Top2a genes (r > 0.65), suggesting their potential involvement in the regulation and metabolic integration of these pathways at the transcriptional level.