Characterization of a pancreatic cancer GWAS signal suggests PDX1 buffers stress in the exocrine pancreas
Hoskins, J. W.; Christensen, T. A.; Eiser, D.; Char, E.; Mobaraki, M.; O'Brien, A.; Collins, I.; Zhong, J.; Patel, M. B.; Prasad, G.; Pancreatic Cancer Cohort Consortium and Pancreatic Cancer Case-Control Consortium (PanScan/PanC4), ; Arda, E.; Connelly, K. E.; Amundadottir, L. T.
Show abstract
Pancreatic ductal adenocarcinoma (PDAC) remains one of the deadliest human cancers. The current largest published PDAC Genome-Wide Association Study (GWAS) identified 23 genetic risk signals, but most lack sufficient characterization. This study aimed to functionally characterize the chr13q12.2 (PLUT/PDX1) PDAC GWAS risk locus. Fine-mapping, luciferase reporter assays, and electrophoretic mobility shift assays implicated rs9581943, a PDX1 promoter SNP, as a functional variant underlying this GWAS signal. GTEx expression QTL analyses identified rs9581943 as a significant PDX1 eQTL in pancreas, and CRISPR/Cas9 editing in PDAC-derived cell lines confirmed a functional relationship. PDX1 is a transcription factor involved in early pancreas development and {beta}-cell homeostasis, but its role in exocrine pancreatic cells is unclear. Single-nucleus RNA-seq analyses of pancreatic acinar and ductal cells from neonatal, adult, and chronic pancreatitis donors suggested PDX1 activity alleviates high secretory load and ER-stress in acinar and biases ducts toward homeostatic phenotypes. Similarly, scRNA-seq analyses of pancreatic tumors suggested PDX1 activity reduces biosynthetic and inflammatory stress and promotes epithelial differentiation. Our study therefore implicates rs9581943 as a causal variant for the chr13q12.2 PDAC GWAS signal wherein the risk allele reduces PDX1 expression, eroding PDX1s capacity to buffer stress and stabilize epithelial cell fate in the exocrine compartment.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Single cell chromatin accessibility reveals pancreatic islet cell type- and state-specific regulatory programs of diabetes risk 96%
- Genomic evolution of pancreatic cancer at single-cell resolution 96%
- Prioritization of autoimmune disease-associated genetic variants that perturb regulatory element activity in T cells 95%
Similar papers in this journal
- Single-Cell RNA Sequencing Reveals the Effects of Chemotherapy on Human Pancreatic Adenocarcinoma and its Tumor Microenvironment 96%
- Single-cell analysis of patient-derived PDAC organoids reveals cell state heterogeneity and a conserved developmental hierarchy 96%
- Detection of isoforms and genomic alterations by high-throughput full-length single-cell RNA sequencing in ovarian cancer 96%
Similar papers in this journal
- Type 1 diabetes risk genes mediate pancreatic beta cell survival in response to proinflammatory cytokines 96%
- Implications of noncoding regulatory functions in the development of insulinomas 95%
- Human gain-of-function variants in HNF1A confer protection from diabetes but independently increase hepatic secretion of multiple cardiovascular disease risk factors 95%
Similar papers in this journal
- Mapping pQTLs of circulating inflammatory proteins identifies drivers of immune-related disease risk and novel therapeutic targets 94%
- Spatial analysis of human lung cancer reveals organized immune hubs enriched for stem-like CD8 T cells and associated with immunotherapy response 94%
- Stepwise chromatin and transcriptional acquisition of an intraepithelial lymphocyte program 93%
Similar papers in this journal
- Liver single-nucleus multiome profiling reveals cell-type mechanisms for cardiometabolic traits 95%
- Characterization of non-coding variants associated with transcription factor binding through ATAC-seq-defined footprint QTLs in liver 95%
- Interaction molecular QTL mapping discovers cellular and environmental modifiers of genetic regulatory effects 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.