ArticleAging2020
Development of a four-gene prognostic model for pancreatic cancer based on transcriptome dysregulation.
Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Development and Validation of a Prognostic Signature Based on Transcription Factors Associated with Endoplasmic Reticulum Stress in Pancreatic Adenocarcinoma.Current medicinal chemistry · 2026Article
- Metabolic reprogramming and prognostic modeling in pancreatic cancer: insights from WGCNA.Frontiers in genetics · 2025Article
- ADH1C inhibits progression of colorectal cancer through the ADH1C/PHGDH /PSAT1/serine metabolic pathway.Acta pharmacologica Sinica · 2022Article
- An immune-related microRNA signature prognostic model for pancreatic carcinoma and association with immune microenvironment.Scientific reports · 2022Article
- Article
- Establishment and Validation of a Tumor Microenvironment Prognostic Model for Predicting Bladder Cancer Survival Status Based on Integrated Bioinformatics Analyses.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Development and validation of a ferroptosis-related prognostic model in pancreatic cancer.Investigational new drugs · 2021Article
- Construction of a five-gene prognostic model based on immune-related genes for the prediction of survival in pancreatic cancer.Bioscience reports · 2021Article
- Role of tumor mutation burden-related signatures in the prognosis and immune microenvironment of pancreatic ductal adenocarcinoma.Cancer cell international · 2021Article
- Article
- Identification of Novel Metabolism-Associated Subtypes for Pancreatic Cancer to Establish an Eighteen-Gene Risk Prediction Model.Frontiers in cell and developmental biology · 2021Article
- COL3A1, COL6A3, and SERPINH1 Are Related to Glucocorticoid-Induced Osteoporosis Occurrence According to Integrated Bioinformatics Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2020Article
- Expression and Clinical Significance of BCL2 Interacting Protein 3 Like in Multiple Myeloma.Technology in cancer research & treatmentArticle
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We systematically developed a prognostic model for pancreatic cancer that was compatible across different transcriptomic platforms and patient cohorts. After performing quality control measures, we used seven microarray datasets and two RNA sequencing datasets to identify consistently dysregulated genes in pancreatic cancer patients. Weighted gene co-expression network analysis was performed to explore the associations between gene expression patterns and clinical features. The least absolute shrinkage and selection operator (LASSO) and Cox regression were used to construct a prognostic model. We tested the predictive power of the model by determining the area under the curve of the risk score for time-dependent survival. Most of the differentially expressed genes in pancreatic cancer were enriched in functions pertaining to the tumor immune microenvironment. The transcriptome profiles were found to be associated with overall survival, and four genes were identified as independent prognostic factors. A prognostic risk score was then proposed, which displayed moderate accuracy in the training and self-validation cohorts. Furthermore, patients in two independent microarray cohorts were successfully stratified into high- and low-risk prognostic groups. Thus, we constructed a reliable prognostic model for pancreatic cancer, which should be beneficial for clinical therapeutic decision-making.
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