结直肠癌（CRC）是女性和男性中第三种最常见的癌症，需要鉴定有效的生物标志物。一种名为加权基因共表达网络分析（WGCNA）的体外生物学方法可用于研究调控基因复杂网络中基因表达。本研究使用WGCNA算法构建了与CRC相关的差异表达基因（DEGs）的共表达网络及其靶基因。进行了GO和KEGG路径分析，以了解DEmRNA的生物学作用。研究结果显示，这些基因主要富集在调节激素水平、细胞外基质组织以及细胞外结构组织的生物过程中。通过核心基因和DEmRNA之间的基因交集，确定了DKC1、PA2G4、LYAR和NOLC1作为结直肠癌的最终临床核心基因。 © 2023. Springer Nature Limited.

Colorectal cancer (CRC) is the third most frequent cancer to be diagnosed in both females and males necessitating identification of effective biomarkers. An in-silico system biology approach called weighted gene co-expression network analysis (WGCNA) can be used to examine gene expression in a complicated network of regulatory genes. In the current study, the co-expression network of DEGs connected to CRC and their target genes was built using the WGCNA algorithm. GO and KEGG pathway analysis were carried out to learn more about the biological role of the DEmRNAs. These findings revealed that the genes were mostly enriched in the biological processes that were involved in the regulation of hormone levels, extracellular matrix organization, and extracellular structure organization. The intersection of genes between hub genes and DEmRNAs showed that DKC1, PA2G4, LYAR and NOLC1 were the clinically final hub genes of CRC.© 2023. Springer Nature Limited.