CDK3, CDK5 and CDK8 Proteins as Prognostic and Potential Biomarkers in Colorectal Cancer Patients

Dan Wang; Yanhong Zhou; Li Hua; Jiaxiang Li; Ni Zhu; Yifei Liu

doi:10.2147/IJGM.S349576

CDK3, CDK5 and CDK8 Proteins as Prognostic and Potential Biomarkers in Colorectal Cancer Patients

Int J Gen Med. 2022 Feb 27:15:2233-2245. doi: 10.2147/IJGM.S349576. eCollection 2022.

Authors

Dan Wang^#¹, Yanhong Zhou^#², Li Hua², Jiaxiang Li², Ni Zhu², Yifei Liu²

Affiliations

¹ School of Pharmacy, Xianning Medical College, Hubei University of Science and Technology, Xianning, HuBei, People's Republic of China.
² School of Stomatology and Ophthalmology, Xianning Medical College, Hubei University of Science and Technology, Xianning, HuBei, People's Republic of China.

^# Contributed equally.

Abstract

Introduction: In the cell cycle, cyclin-dependent kinases (CDKs) play a positive regulatory role, which is essential for normal cell growth, but the expression pattern and prognostic significance of the CDK family in colorectal cancer (CRC) have not been systematically investigated.

Methods: In our study, we analyzed and visualized the expression of CDKs in CRC using TCGA, GEPIA, GSCALite, TIMER, HPA database, and R language CDKs risk model was constructed.

Results: Overall, CDKs (CDK1, CDK2, CDK3, CDK4, CDK5, CDK6, CDK7 and CDK8) were differentially expressed between normal controls and colorectal cancer. Three CDKs genes (CDK3, CDK5 and CDK8) associated with prognosis were obtained by univariate and multivariate Cox and LASSO regression analysis. In CRC, CDK3, CDK5 and CDK8 are significantly associated with expression levels of recognized immune infiltrates.

Conclusion: CDK3, CDK5 and CDK8 are potential diagnostic markers for CRC; meanwhile, CDK3, CDK5 and CDK8 are potential prognostic markers for CRC; studying the relationship between CDKs and tumor immunology may be helpful for immunotherapy of CRC, and more studies are needed to confirm these results.

Keywords: colorectal cancer; cyclin-dependent kinases family; mRNA expression; prognosis; risk score model.

Grants and funding

This work was funded by grants from the Medical School of Facial Features of Hubei University of Science and Technology (No.2020XZ35), the High-level Talent Research Project of Xianning City (No.202001), the Xianning Municipal Science and Technology Plan Project (No.2021ZRKX025), and the Hubei Provincial Colleges and Universities Provincial Teaching Research Project (No.2020641).