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Development and Verification of a novel cuproptosis- and immune-associated based prognostic genetic signature for pancreatic ductal adenocarcinoma.
Xu, Xiang; Liang, Jia-Hua; Xu, Qiong-Cong; Yin, Xiao-Yu.
Afiliación
  • Xu X; Department of Pancreato-Biliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
  • Liang JH; Department of Pancreato-Biliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
  • Xu QC; Department of Pancreato-Biliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
  • Yin XY; Department of Pancreato-Biliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, Guangdong, China. Electronic address: yinxy@mail.sysu.edu.cn.
Clin Res Hepatol Gastroenterol ; 47(3): 102089, 2023 03.
Article en En | MEDLINE | ID: mdl-36707046
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.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Pancreáticas / Apoptosis / Carcinoma Ductal Pancreático Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Clin Res Hepatol Gastroenterol Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Pancreáticas / Apoptosis / Carcinoma Ductal Pancreático Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Clin Res Hepatol Gastroenterol Año: 2023 Tipo del documento: Article País de afiliación: China