Related Experiment Video
Updated: May 9, 2026
05:44
Isolation of Proximal Fluids to Investigate the Tumor Microenvironment of Pancreatic Adenocarcinoma
Published on: November 5, 2020
Machine learning-based prognostic signature integrating mitochondrial function and programmed cell death patterns in
Yan Deng1,2, Su-Mei Gao3,4, Zhao-Wei Wu1
1Department of Hepatobiliary Surgery, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
Scientific Reports
|May 7, 2026
Summary
This study identifies key mitochondrial genes linked to programmed cell death (PCD) in pancreatic cancer. A new prognostic model helps predict patient outcomes and guides personalized treatment strategies for pancreatic adenocarcinoma (PAAD).
Area of Science:
- Oncology
- Molecular Biology
- Bioinformatics
Background:
- Mitochondria and programmed cell death (PCD) play roles in cancer development.
- The specific mitochondrial genes and PCD patterns in pancreatic adenocarcinoma (PAAD) are not well understood.
Purpose of the Study:
- To identify genes associated with mitochondrial function and PCD in PAAD.
- To develop a prognostic signature and nomogram for PAAD patients.
- To explore potential therapeutic strategies based on molecular mechanisms.
Main Methods:
- Integrated multi-omics and bioinformatic analyses.
- Construction and validation of a prognostic signature using CoxBoost+StepCox algorithms.
- Correlation analysis with oncogenic pathways, tumor microenvironment (TME), and genomic variants.
- Drug sensitivity analysis, ceRNA network construction, and molecular docking.
- Validation of gene expression using qRT-PCR in PAAD patients.
Main Results:
- Identified eight PCD activity-associated mitochondrial function genes (PCDMGs).
- Developed a robust prognostic signature and a validated nomogram with high predictive efficacy.
- The signature correlated with oncogenic pathways, TME, and genomic alterations.
- High-risk patients may benefit more from immunotherapy but less from chemotherapy.
- Confirmed elevated expression of model genes in PAAD tumor tissues.
Conclusions:
- The prognostic signature and nomogram effectively stratify PAAD patients based on prognosis and drug sensitivity.
- These tools can aid clinicians in optimizing treatment and making informed clinical decisions for PAAD.
- Understanding the interplay of mitochondria and PCD offers insights into PAAD pathogenesis and therapeutic targets.
