Colorectal cancer (CRC) is one of the most common neoplastic diseases worldwide. With a high recurrence rate among all cancers, treatment of CRC only improved a little over the last two decades. The mortality and morbidity rates can be significantly lessened by earlier diagnosis and prompt treatment. Available biomarkers are not sensitive enough for the diagnosis of CRC, whereas the standard diagnostic method, endoscopy, is an invasive test and expensive. Hence, seeking the diagnostic and prognostic biomarkers of CRC is urgent and challenging. With that order, we screened the overlapped differentially expressed genes (DEGs) of GEO (GSE110223, GSE110224, GSE113513) and TCGA datasets. Subsequent protein–protein interaction network analysis recognized the hub genes among these DEGs. Further functional analyses including Gene Ontology and KEGG pathway analysis and gene set enrichment analysis were processed to investigate the role of these genes and potential underlying mechanisms in CRC. Kaplan–Meier analysis and Cox hazard ratio analysis were carried out to clarify the diagnostic and prognostic role of these genes. In conclusion, our present study demonstrated that CCNA2, MAD2L1, DLGAP5, AURKA, and RRM2 are all potential diagnostic biomarkers for CRC and may also be potential treatment targets for clinical implication in the future.

大肠癌（CRC）是全球最常见的赘生性疾病之一。由于所有癌症中的复发率都很高，因此在过去的二十年中，CRC的治疗仅略有改善。早期诊断和及时治疗可以大大降低死亡率和发病率。可用的生物标志物对于CRC的诊断不够敏感，而标准的诊断方法（内窥镜检查）是一项侵入性测试，价格昂贵。因此，寻找CRC的诊断和预后生物标志物是紧急和挑战性的。按照此顺序，我们筛选了GEO（GSE110223，GSE110224，GSE113513）和TCGA数据集的重叠差异表达基因（DEG）。随后的蛋白质-蛋白质相互作用网络分析认识到这些DEG中的中枢基因。进行了进一步的功能分析，包括基因本体论和KEGG通路分析以及基因集富集分析，以研究这些基因的作用以及CRC中潜在的潜在机制。进行了Kaplan-Meier分析和Cox危险比分析，以阐明这些基因的诊断和预后作用。总而言之，我们的研究表明CCNA2，MAD2L1，DLGAP5，AURKA和RRM2都是CRC的潜在诊断生物标志物，并且也可能成为未来临床意义的潜在治疗靶标。