ArticleCell reports2020
HNF4A and GATA6 Loss Reveals Therapeutically Actionable Subtypes in Pancreatic Cancer.
Article in Cell reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers.
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Who cites it
95 citing papers in PubMed, 124 citations in OpenAlex.
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- DHX33 inhibitors induced transcriptional changes for a subset of genes in cancer cells.Scientific reports · 2026Article
- GLIS3 marks a neural-like progenitor cell state that drives metastasis in pancreatic ductal adenocarcinoma.Cell reports · 2026Article
- The role of HNF4α in adenocarcinoma.Biochemical Society transactions · 2026Review
- Exploring and experimental validation of SLC7A11 and ferroptosis related prognostic genes in non-small cell lung cancer using bulk RNA sequencing and single-cell RNA sequencing.Biology direct · 2026Article
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- Clonal evolutionary analysis reveals patterns of malignant transformation of Intraductal Papillary Mucinous Neoplasms of the pancreas.Nature communications · 2026Article
- Epigenetic and transcriptional control of classical and basal-like cell states in pancreatic ductal adenocarcinoma.Gastroenterology report · 2026Review
- Mutant p53 regulates reversible subtype plasticity in pancreatic cancer.Cellular and molecular life sciences : CMLS · 2025Article
- Transcription factor switching drives subtype-specific pancreatic cancer.Nature genetics · 2025Article
- Differential Control of Growth and Identity by HNF4α Isoforms in Pancreatic Ductal Adenocarcinoma.Molecular cancer research : MCR · 2025Article
- Methods and Guidelines for Metabolism Studies: Applications to Cancer Research.International journal of molecular sciences · 2025Review
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- Analysis of an engineered organoid model of pancreatic cancer identifies hypoxia as a contributing factor in determining transcriptional subtypes.Scientific reports · 2025Article
- The landscape of malignant transition: Unraveling cancer cell-of-origin and heterogeneous tissue microenvironment.Cancer letters · 2025Article
- Molecular mechanisms altering cell identity in cancer.Oncogene · 2025Review
- Improving outcomes of patients with pancreatic cancer.Nature reviews. Clinical oncology · 2025Review
- Emerging Tumor Biomarkers in Pancreatic Cancer and Their Clinical Implications.Current issues in molecular biology · 2025Review
- Sialic acid metabolism-based classification reveals novel metabolic subtypes with distinct characteristics of tumor microenvironment and clinical outcomes in gastric cancer.Cancer cell international · 2025Article
35 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
46 authors at 19 institutions in 5 countries.
Funding
Abstract
Pancreatic ductal adenocarcinoma (PDAC) can be divided into transcriptomic subtypes with two broad lineages referred to as classical (pancreatic) and squamous. We find that these two subtypes are driven by distinct metabolic phenotypes. Loss of genes that drive endodermal lineage specification, HNF4A and GATA6, switch metabolic profiles from classical (pancreatic) to predominantly squamous, with glycogen synthase kinase 3 beta (GSK3β) a key regulator of glycolysis. Pharmacological inhibition of GSK3β results in selective sensitivity in the squamous subtype; however, a subset of these squamous patient-derived cell lines (PDCLs) acquires rapid drug tolerance. Using chromatin accessibility maps, we demonstrate that the squamous subtype can be further classified using chromatin accessibility to predict responsiveness and tolerance to GSK3β inhibitors. Our findings demonstrate that distinct patterns of chromatin accessibility can be used to identify patient subgroups that are indistinguishable by gene expression profiles, highlighting the utility of chromatin-based biomarkers for patient selection in the treatment of PDAC.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.