Author(s)

Wanbin Zhao¹, Yanru Wu¹, Tengteng Xu¹, Dan Song¹, Peilong Wang^2*

¹Department of Gastroenterology, Affiliated Peace Hospital of Changzhi Medical College, Changzhi, China.
²Department of Gastroenterology, Affiliated Heji Hospital of Changzhi Medical College, Changzhi, China.

This study aimed to explore the prognostic value of Anoikis-related genes (ANRGs) in colon cancer using bioinformatics and construct a prognostic model based on ANRGs. ANRGs integrated from GeneCard and Harmonizome were used to identify CRC subtypes and construct a prognostic model for CRC patients. The immune microenvironment (TME) between different subtypes was also investigated. Finally, a line chart based on ANRGs was provided for clinical use, and decision curve analysis (DCA) was performed to determine the potential benefits of the model for clinical strategies. We identified 14 differential expression genes (DEGs) related to survival in CRC Anoikis, and selected 7 genes to construct the prognostic model. The prognostic risk score was determined as independent prognostic factor. Functional analysis showed that high-risk and low-risk groups had different immune infiltration status. Combined with CRC clinical pathological characteristics, a line chart was constructed, and DCA analysis showed that this model could benefit from clinical treatment strategies. This study explored 7 prognostic-associated risk genes related to CRC and constructed a line chart, which can provide important reference value for clinical doctors to choose personalized treatment for CRC patients.

Bioinformatics, Apoptosis, Colorectal cancer, Prognosis

Zhao, W. , Wu, Y. , Xu, T. , Song, D. and Wang, P. (2023) Screening of Colon Cancer Apoptosis-Related Genes Based on Bioinformatics and Construction of Survival Prognostic Model. Journal of Biosciences and Medicines, 11, 218-231. doi: 10.4236/jbm.2023.116018.