ArticleJournal of translational medicine2024
Comprehensive analysis of bulk and single-cell transcriptomic data reveals a novel signature associated with endoplasmic reticulum stress, lipid metabolism, and liver metastasis in pancreatic cancer.
Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 22 citations in OpenAlex.
- Methionine concentration regulates LSD1 acetylation in glioma cells.Amino acids · 2026Article
- Beyond Feature Selection: Interpretable Machine Learning for Mechanistic Insights in Metabolomics.Biology · 2026Review
- Genome Mining for Hub Genes Related to Endoplasmic Reticulum Stress in Pancreatitis: A Perspective from In Silico Characterization.Molecular biotechnology · 2026Article
- Identification of the biomarkers associated with lipid metabolism and endoplasmic reticulum stress in pediatric sepsis through bioinformatics analysis and quantitative reverse transcriptase PCR (qRT-PCR) assay.European journal of medical research · 2026Article
- A multicohort machine-learning prognostic signature reveals inflammatory immune remodeling and statin sensitivity in glioblastoma.Frontiers in oncology · 2026Article
- Lovastatin Targets LIPA to Induce ER Stress-Mediated Apoptosis in Acute Myeloid Leukemia: A Multi-Omics Study.International journal of general medicine · 2026Article
- Single-Cell Sequencing Unravels Pancreatic Cancer: Novel Technologies Reveal Novel Aspects of Cellular Heterogeneity and Inform Therapeutic Strategies.Biomedicines · 2025Review
- A mitochondria-related gene-based signature predicts pancreatic ductal adenocarcinoma clinical outcome and revealed CAMK2A/THEM4 regulates progression phenotypes and mitophagy in vivo and in vitro.Journal of translational medicine · 2025Article
- Development of a consensus molecular classifier for pancreatic ductal adenocarcinoma.Genome medicine · 2025Article
- Lipid Metabolism Reprogramming in Cancer: Insights into Tumor Cells and Immune Cells Within the Tumor Microenvironment.Biomedicines · 2025Review
- Identification of a fibroblast-derived gene signature reveals prognostic and therapeutic insights in pancreatic cancer.Clinical and experimental medicine · 2025Article
- RAP1GAP is a prognostic biomarker and correlates with immune infiltrates in bladder cancer.Discover oncology · 2025Article
- The Role of Cholesterol Metabolism and Its Regulation in Tumor Development.Cancer medicine · 2025Review
- Identification and validation of crotonylation-related diagnostic markers for lung adenocarcinoma via weighted correlation network analysis and machine learning.Translational lung cancer research · 2025Article
- Article
- Machine learning integration identifying an eight-gene diagnostic signature for acute mountain sickness.Frontiers in medicine · 2025Article
- SUMOylation-related genes define prognostic subtypes in stomach adenocarcinoma: integrating single-cell analysis and machine learning analyses.Frontiers in immunology · 2025Article
- Comprehensive analysis of MGLL as a novel diagnostic and prognostic biomarker for clear cell renal cell carcinoma.Frontiers in oncology · 2025Article
- EGR3 as a dual tumor-immune regulator: a machine learning-driven prognostic target for cold breast cancer.Frontiers in immunology · 2025Article
- Modulating Endoplasmic Reticulum Stress in Gastrointestinal Cancers: Insights from Traditional Chinese Medicine.Pharmaceuticals (Basel, Switzerland) · 2024Review
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundPancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy with high probability of recurrence and distant metastasis. Liver metastasis is the predominant metastatic mode developed in most pancreatic cancer cases, which seriously affects the overall survival rate of patients. Abnormally activated endoplasmic reticulum stress and lipid metabolism reprogramming are closely related to tumor growth and metastasis. This study aims to construct a prognostic model based on endoplasmic reticulum stress and lipid metabolism for pancreatic cancer, and further explore its correlation with tumor immunity and the possibility of immunotherapy.
methodsTranscriptomic and clinical data are acquired from TCGA, ICGC, and GEO databases. Potential prognostic genes were screened by consistent clustering and WGCNA methods, and the whole cohort was randomly divided into training and testing groups. The prognostic model was constructed by machine learning method in the training cohort and verified in the test, TCGA and ICGC cohorts. The clinical application of this model and its relationship with tumor immunity were analyzed, and the relationship between endoplasmic reticulum stress and intercellular communication was further explored.
resultsA total of 92 characteristic genes related to endoplasmic reticulum stress, lipid metabolism and liver metastasis were identified in pancreatic cancer. We established and validated a prognostic model for pancreatic cancer with 7 signatures, including ADH1C, APOE, RAP1GAP, NPC1L1, P4HB, SOD2, and TNFSF10. This model is considered to be an independent prognosticator and is a more accurate predictor of overall survival than age, gender, and stage. TIDE score was increased in high-risk group, while the infiltration levels of CD8
conclusionsWe constructed and validated a novel prognostic model for pancreatic cancer, which can also be used as an instrumental variable to predict the prognosis and immune microenvironment. In addition, this study revealed the effect of ER stress on cell-cell communication in the tumor microenvironment.
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