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Development and Verification of a novel cuproptosis- and immune-associated based prognostic genetic signature for pancreatic ductal adenocarcinoma - 02/03/23

Doi : 10.1016/j.clinre.2023.102089 
Xiang Xu 1, Jia-Hua Liang 1, Qiong-Cong Xu, Xiao-Yu Yin
 Department of Pancreato-Biliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, Guangdong, China 

Corresponding author at: Department of Pancreato-Biliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan 2nd Rd, Guangzhou 510080, Guangdong, China.Department of Pancreato-Biliary SurgeryThe First Affiliated HospitalSun Yat-sen University58 Zhongshan 2nd RdGuangzhouGuangdong510080China

Highlights

Construction of a cuproptosis- and immune-associated prognostic model for PDAC patients.
Cuproptosis might affect the prognosis of PDAC patients via regulating the tumor immune microenvironment.
Cuproptosis might be a promising therapeutic target for PDAC.

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Abstract

Objective

Pancreatic ductal adenocarcinoma (PDAC) is a malignancy with a dismal prognosis. Cuproptosis, a novel mechanism mediated by protein lipoylation, results in acute proteotoxic stress and ultimately cell death. However, the clinical impacts of cuproptosis-associated genes and their relationship with immune status in PDAC have not been documented. In this study, we aimed at constructing a cuproptosis- and immune-associated prognostic signature to stratify and predict the prognosis for PDAC patients.

Methods

The gene expression profiles of 176 PDAC patients from The Cancer Genome Atlas and 167 normal pancreas tissues from the Genotype-Tissue Expression Project were analyzed for differentially expressed genes (DEGs) between PDAC and normal tissues. Pearson correlation analyses were performed to screen out cuproptosis- and immune-associated DEGs. The risk signature of DEGs was constructed using the least absolute shrinkage and selection operator (LASSO) Cox regression analysis, which was validated in the Gene Expression Omnibus (GEO) cohort (n = 114). The immune characteristics in the two risk groups were evaluated using single-sample gene set enrichment analysis and ESTIMATE algorithms.

Results

A total of 91 cuproptosis- and immune-associated DEGs were screened out, and eight prognostic-related genes were identified using LASSO Cox regression. The prognostic-related genes were then used to construct a risk scoring model, which stratified patients into low- and high-risk groups and were further verified in the external GEO database. The patients in the high-risk group had significantly shorter overall survival than those in the low-risk group. A nomogram based on the risk signature was then constructed. Immune infiltration evaluation suggested that immune status was more activated in the low-risk group. The mutation spectrum also differed between high- and low-risk groups.

Conclusions

Our cuproptosis- and immune-associated genetic risk signature could be a prognostic biomarker for PDAC. Cuproptosis might be a promising therapeutic target for PDAC.

Le texte complet de cet article est disponible en PDF.

Keywords : Pancreatic ductal adenocarcinoma, Cuproptosis, Prognosis, immune

Abbreviations : AUC, DEGs, GEO, GO, GSEA, GTEx, KEGG, LASSO, OS, PDAC, ROC, ssGSEA, TADCs, TCA, TCGA, TNM


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© 2023  Publié par Elsevier Masson SAS.
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Vol 47 - N° 3

Article 102089- mars 2023 Retour au numéro
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