Construction of Colorectal Cancer Prognostic Model Utilizing Mitochondrial Energy Metabolism-Related Genes

Kai Wang; Peng Zhu; Zhenghui Yang; Guoping Sun

doi:10.23977/medbm.2024.020210

Construction of Colorectal Cancer Prognostic Model Utilizing Mitochondrial Energy Metabolism-Related Genes

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DOI: 10.23977/medbm.2024.020210 | Downloads: 6 | Views: 154

Author(s)

Kai Wang ^1,2, Peng Zhu ¹, Zhenghui Yang ³, Guoping Sun ¹

Affiliation(s)

¹ Department of Clinical Laboratory, Pingshan Hospital, Southern Medical University (Pingshan District People's Hospital of Shenzhen), Shenzhen, China
² Department of Shu Lan International Medical, Zhejiang Shu Ren University, Hangzhou, China
³ Hangzhou QuanMei Dental Clinic, Hangzhou, China

Corresponding Author

Guoping Sun

ABSTRACT

The objective of this study was to construct a prognostic model and medicine therapeutic response by utilizing mitochondrial energy metabolism-related genes (MMRGs), thus establishing a risk score for colorectal cancer (CRC). Based on the TCGA-CRC and GEO data set, MMRGs expression levels were identified by clustering analysis. 10 differential expression genes were used to construct RiskScore by Cox regression. GSE 39582 data set was used for validation. The clinical characteristics, survival characteristics, SNV, CNV, methylation, immune features, and potential benefits of chemotherapy drugs were analyzed for two risk groups. RiskScore was constructed based on the genes ACOX1, ATP6V1G2, COX7A1, CPT2, DLAT, ECGS1, ECI2, NDUFA1, PPA2, and SUCLG2. Patients in the low risk group exhibited a superior overall survival. In addition, Univariate Cox regression analysis and Multivariate Cox regression analysis demonstrated that the risk score, stage and lymphatic invasion can serve as the independent prognostic factors. Mitochondrial Energy -Related Genes was a promising biomarker that can be used to distinguish CRC prognosis, immune features, and sensitivity to chemotherapy drugs.

KEYWORDS

Mitochondrial energy metabolism, Colorect cancer, Prognosis model, Tumor microenvironment

CITE THIS PAPER

Kai Wang, Peng Zhu, Zhenghui Yang, Guoping Sun, Construction of Colorectal Cancer Prognostic Model Utilizing Mitochondrial Energy Metabolism-Related Genes. MEDS Basic Medicine (2024) Vol. 2: 57-75. DOI: http://dx.doi.org/10.23977/medbm.2024.020210.

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Construction of Colorectal Cancer Prognostic Model Utilizing Mitochondrial Energy Metabolism-Related Genes

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ABSTRACT

KEYWORDS

CITE THIS PAPER

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