Comprehensive analysis and experiment validation of five cuproptosis-related genes in prognosis, immune infiltration and metabolic characterization of pancreatic cancer
- Qianxi Deng 1, Kun Yang 2, Qiaoling Liao 3, Xueli Tang 4, Honglin Quan 1, Guojun Yuan 1, Xia Hu 1, Zheng Jiang 2, Linju Wu 5
- Qianxi Deng 1, Kun Yang 2, Qiaoling Liao 3
- 1Department of Gastroenterology, The Third Hospital of Mianyang (Sichuan Mental Health Center), Mianyang, Sichuan, China.
- 2Department of Gastroenterology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
- 3The Second Department of Severe Psychiatry, The Third Hospital of Mianyang (Sichuan Mental Health Center), Mianyang, Sichuan, China.
- 4Department of Science and Technology, The Third Hospital of Mianyang (Sichuan Mental Health Center), Mianyang, Sichuan, China.
- 5Department of Anesthesiology, The Third Hospital of Mianyang (Sichuan Mental Health Center), Mianyang, Sichuan, China.
- 0Department of Gastroenterology, The Third Hospital of Mianyang (Sichuan Mental Health Center), Mianyang, Sichuan, China.
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View abstract on PubMed
Summary
This summary is machine-generated.Five cuproptosis-related genes (CRGs) were identified as key predictors for pancreatic cancer survival. A novel prognostic model using these genes accurately predicts patient outcomes and may guide precise anti-cancer treatments.
Area Of Science
- Oncology
- Molecular Biology
- Genetics
Background
- Cuproptosis, a novel cell death pathway, has an unclear role in pancreatic cancer (PC) prognosis.
- Identifying key genes associated with cuptosis is crucial for understanding PC progression.
Purpose Of The Study
- To identify cuptosis-related genes (CRGs) associated with pancreatic cancer prognosis.
- To construct and validate a prognostic model based on CRGs.
- To investigate the underlying mechanisms and functional roles of these CRGs in PC.
Main Methods
- Utilized TCGA and GTEx databases to identify differentially expressed CRGs (DECRGs).
- Employed Cox regression and LASSO analyses to screen for hub genes.
- Validated gene expression and protein levels using RT-qPCR and Western blotting.
- Assessed the functional role of LIPT1 in PC cell lines via CCK8, colony formation, and Transwell assays.
Main Results
- Five hub genes (PDP1, DLAT, DBT, LIAS, LIPT1) were identified as significantly associated with overall survival (OS) in pancreatic cancer.
- A prognostic model based on these five CRGs demonstrated that a low-risk score correlates with longer OS.
- High-risk scores were associated with advanced clinicopathological features, and age, N stage, and RiskScore were independent risk indicators.
- LIPT1 knockdown inhibited proliferation and invasion in pancreatic cancer cell lines, suggesting its oncogenic role.
Conclusions
- A novel five-CRG prognostic model for pancreatic cancer was developed, offering accurate survival prediction.
- The identified CRGs, particularly LIPT1, play significant roles in pancreatic cancer progression.
- This model and findings provide valuable insights for developing precise anti-cancer therapeutic strategies for pancreatic cancer.
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