Background:Cuprotosis is a newly discovered Copper-dependence form of cell death.Cuprotosis-related genes(CRGs)regulating mitochondrial metabolism and protein lipoylation suggest the critical roles cuprotosis for in c...Background:Cuprotosis is a newly discovered Copper-dependence form of cell death.Cuprotosis-related genes(CRGs)regulating mitochondrial metabolism and protein lipoylation suggest the critical roles cuprotosis for in cancer.However,the prognostic value of CRGs in the highly immunogenic cancer type,kidney renal clear cell carcinoma(KIRC)needs to be further studied.Herein,we aim to identify novel prognostic genes and construct a CRGs prognostic signature for KIRC.Methods:We downloaded the mRNA sequencing data from the Cancer Genome Atlas,differentially expressed CRGs were screened out and their bio-function was elucidated.Then we used Cox regression analysis to establish a prediction model of CRGs.Subsequently,a prognostic scoring model based on the regression coefficients of the screened out CRGs and their corresponding mRNA expressions were constructed and validated.Results:Seven differentially expressed CRGs were screened.A two-gene model was built to separate samples into high-risk and low-risk groups.Overall survival was lower in the high-risk group than in the low-risk group(p<0.05).The receiver operating characteristic curve showed a good diagnostic efficiency of the signature.We verified this prognostic model in the Cancer Genome Atlas test cohorts.The risk score was identified as an independent prognostic factor via multivariate Cox regression.Moreover,the nomogram was used to predict 1-/3-/5-year OS of KIRC patients.Furthermore,risk score has a very significant effect on the infiltration of immune cells and the expression of immune checkpoints.Conclusions:To conclude,we constructed a novel prognostic signature based on CRGs.Targeting cuprotosis may represent a promising approach for the treatment of KIRC.展开更多
基金financially supported by Hunan Provincial Natural Science Foundation of China 2022JJ40405(X.L).
文摘Background:Cuprotosis is a newly discovered Copper-dependence form of cell death.Cuprotosis-related genes(CRGs)regulating mitochondrial metabolism and protein lipoylation suggest the critical roles cuprotosis for in cancer.However,the prognostic value of CRGs in the highly immunogenic cancer type,kidney renal clear cell carcinoma(KIRC)needs to be further studied.Herein,we aim to identify novel prognostic genes and construct a CRGs prognostic signature for KIRC.Methods:We downloaded the mRNA sequencing data from the Cancer Genome Atlas,differentially expressed CRGs were screened out and their bio-function was elucidated.Then we used Cox regression analysis to establish a prediction model of CRGs.Subsequently,a prognostic scoring model based on the regression coefficients of the screened out CRGs and their corresponding mRNA expressions were constructed and validated.Results:Seven differentially expressed CRGs were screened.A two-gene model was built to separate samples into high-risk and low-risk groups.Overall survival was lower in the high-risk group than in the low-risk group(p<0.05).The receiver operating characteristic curve showed a good diagnostic efficiency of the signature.We verified this prognostic model in the Cancer Genome Atlas test cohorts.The risk score was identified as an independent prognostic factor via multivariate Cox regression.Moreover,the nomogram was used to predict 1-/3-/5-year OS of KIRC patients.Furthermore,risk score has a very significant effect on the infiltration of immune cells and the expression of immune checkpoints.Conclusions:To conclude,we constructed a novel prognostic signature based on CRGs.Targeting cuprotosis may represent a promising approach for the treatment of KIRC.
