Pancreatic and Hepatic Oncology Research

Drug-Induced p53 Activation Limits Pancreatic Cancer Initiation

This study shows that stabilizing wild-type p53 with Nutlin-3a reduces ADM and PanIN formation in a KrasG12D mouse model by promoting acinar cell differentiation.

Netrin G1 Ligand is a new stromal immunomodulator that promotes pancreatic cancer

This paper identifies NGL-1 as a stromal immunomodulator in pancreatic cancer that promotes tumor growth by modulating the tumor microenvironment through TGF-β and transcription factor pathways.

Favorable histo-molecular remodeling of pancreatic ductal adenocarcinoma after Total Neoadjuvant Therapy including Stereotactic Body Radiotherapy

This study shows that combining FOLFIRINOX with stereotactic body radiotherapy remodels pancreatic ductal adenocarcinoma, improving stromal and metabolic features and prognosis.

Comparison of Different Approaches to Single Cell RNA Sequencing of Cancer Associated Fibroblasts

This study compares scRNA-seq of unenriched and CAF-enriched samples from PDAC tumors, finding that CAF enrichment better captures heterogeneity but loses other TME cells.

Enhanced Complement Expression in the Tumor Microenvironment Following Neoadjuvant Therapy: Implications for Immunomodulation and Survival in Pancreatic Ductal Adenocarcinoma

This study shows neoadjuvant therapy in PDAC increases complement gene expression in the tumor microenvironment, linked to better survival and reduced immune exhaustion.

Identification And Characterization of Differentially Co-Expressed Head-To-Head Gene Pairs in Pancreatic Cancer

This study identifies differentially co-expressed head-to-head gene pairs in pancreatic cancer and highlights key regulators and potential biomarkers.

Multi-omic characterization reveals a distinct molecular landscape in young-onset pancreatic cancer

This study compares molecular features of young-onset and average-onset pancreatic cancer using multi-omic data, finding distinct mutation patterns and immune profiles with prognostic implications.

Comprehensive machine-learning survival framework develop a consensus model in large scale multi-center cohorts for pancreatic cancer

The paper develops an AI-derived prognostic signature for pancreatic cancer using multi-center cohorts and machine learning, showing improved predictive performance and clinical relevance.

The Limits of Molecular Signatures for Pancreatic Ductal Adenocarcinoma Subtyping

This study evaluates three PDAC molecular signatures across eight datasets, finding inconsistent subtyping and low classification accuracy, suggesting technical biases and the need for multi-omic approaches.

Deeper insights into long-term survival heterogeneity of Pancreatic Ductal Adenocarcinoma (PDAC) patients using integrative individual- and group-level transcriptome network analyses

The paper identifies differentially expressed genes and modules associated with long-term survival in PDAC patients using integrative transcriptome analysis.

A new prognostic model for pancreatic cancer based on pyroptosis-related genes

This study develops a prognostic model for pancreatic cancer using pyroptosis-related genes, identifying key genes and showing differences in risk groups.

Inhibition of Kallikrein-related peptidases 7 restrains pancreatic tumor growth through induction of ferroptosis

This study shows that Compound 42 inhibits pancreatic tumor growth by inducing ferroptosis and arresting the cell cycle in pancreatic cancer cells.

Proteogenomic Analysis of Pancreatic Cancer Subtypes

This study identifies two distinct pancreatic cancer subtypes through proteogenomic analysis and links them to altered molecular pathways and clinical outcomes.

Kinome state is predictive of cell viability in pancreatic cancer tumor and stroma cell lines

The paper links kinome state with cell viability in PDAC tumor and stroma cell lines using regression and classification models, finding predictive relationships and key kinases driving viability responses.

Prediction of pancreatic adenocarcinoma patient risk status using alternative splicing events

The paper identifies prognostic alternative splicing events and mutations in pancreatic adenocarcinoma, showing improved risk prediction compared to existing models.

A transcriptionally distinct subpopulation of healthy acinar cells exhibit features of pancreatic progenitors and PDAC

The paper identifies a transcriptionally distinct subpopulation of healthy acinar cells with features of pancreatic progenitors and PDAC, linked to poor patient survival and age-related changes.

A multilayered post-GWAS assessment on genetic susceptibility to pancreatic cancer

The paper uses a multi-layered approach combining GWAS, spatial autocorrelation, and Hi-C to identify novel genetic variants associated with pancreatic cancer susceptibility.

Identification and Interaction Analysis of Molecular Markers in Pancreatic Ductal Adenocarcinoma by Integrated Bioinformatics Analysis and Molecular Docking Experiments

The paper identifies differentially expressed genes in PDAC and validates hub genes as potential biomarkers and therapeutic targets through bioinformatics and molecular docking.

Pooled CRISPR screening in pancreatic cancer cells implicates co-repressor complexes as a cause of multiple drug resistance via regulation of epithelial-to-mesenchymal transition

The paper uses CRISPR screens to identify co-repressor complexes as mediators of drug resistance in pancreatic cancer by regulating epithelial-to-mesenchymal transition.

Single-nucleus and spatial transcriptomics of archival pancreatic cancer reveals multi-compartment reprogramming after neoadjuvant treatment

This study uses single-nucleus and spatial transcriptomics to analyze pancreatic cancer before and after neoadjuvant treatment, revealing changes in cell states and immune infiltration that may inform therapy.

Genome-wide association meta-analysis identifies novel GP2 gene risk variants for pancreatic cancer in the Japanese population

TSPAN1 promotes human pancreatic cancer cells proliferation by modulating CDK1 via Akt

This study shows TSPAN1 promotes pancreatic cancer cell proliferation by modulating CDK1 through Akt activation, suggesting TSPAN1 as a potential therapeutic target.

ISL2 is an epigenetically silenced tumor suppressor and regulator of metabolism in pancreatic cancer

This study identifies ISL2 as an epigenetically silenced tumor suppressor in pancreatic cancer that regulates metabolism and presents therapeutic vulnerabilities.

Profiles and clinical significance of immune cell infiltration in pancreatic adenocarcinoma

This study identifies immune cell infiltration patterns in pancreatic adenocarcinoma and develops a prognostic signature based on tumor-infiltrating immune cells.

HNF1A recruits UTX to activate a differentiation program that suppresses pancreatic cancer

This study shows HNF1A recruits UTX to activate a differentiation program that suppresses pancreatic cancer by remodeling enhancers and inhibiting oncogenic pathways.

Identification of Blood-based Non-invasive Biomarkers and Therapeutic Agents against Pancreatic Ductal Adenocarcinoma (PDAC): A Network-based Study

This study identifies blood-based biomarkers and therapeutic agents for PDAC using network analysis of microarray data from peripheral blood samples.

Meta-analysis of 1,200 transcriptomic profiles identifies a prognostic model for pancreatic ductal adenocarcinoma

The paper develops a prognostic model for pancreatic ductal adenocarcinoma using meta-analysis of transcriptomic data, identifying gene pairs associated with early mortality after surgery.

Whole Genomes Define Concordance of Matched Primary, Xenograft, and Organoid Models of Pancreas Cancer

The paper compares whole-genome data from primary pancreatic cancer, xenografts, and organoids to assess genetic concordance across different models.

Transcriptional deconvolution reveals consistent functional subtypes of pancreatic cancer epithelium and stroma

The paper develops an algorithm to deconvolve bulk tumor gene expression data and identifies consistent functional subtypes in pancreatic cancer epithelium and stroma.

HPCDb: an integrated database of pancreatic cancer

HPCDb integrates pancreatic cancer-related genes, SNPs, miRNAs, and interactions into a database with online access for research use.