Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Identification of key hub genes in pancreatic ductal adenocarcinoma: an integrative bioinformatics study

28 Mar 2025

Abstract excerpt

Pancreatic Ductal Adenocarcinoma (PDAC) poses a significant health threat characterized by poor clinical outcomes, largely attributable to late detection, chemotherapy resistance, and the absence of tailored therapies. Despite progress in surgical, radiation, and chemotherapy treatments, 80% of PDAC patients do not benefit optimally from systemic therapy, often due to asymptomatic presentation or disease...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cancer Genomics and Diagnostics
Share to Ferroptosis and cancer prognosis
Share to Pancreatic and Hepatic Oncology Research

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 40226632
DOI: 10.3389/fbinf.2025.1536783

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of key hub genes in pancreatic ductal adenocarcinoma: an integrative bioinformatics studyPMID 40226632Read ↗

Bioinformatic Analysis Suggests That Three Hub Genes May Be a Vital Prognostic Biomarker in Pancreatic Ductal AdenocarcinomaSemantic proximity Read ↗

ITGA2, LAMB3, and LAMC2 May Be the Potential Therapeutic Targets in Pancreatic Ductal Adenocarcinoma: an Integrated Bioinformatics AnalysisSemantic proximity Read ↗

ITGA2, LAMB3, and LAMC2 may be the potential therapeutic targets in pancreatic ductal adenocarcinoma: an integrated bioinformatics analysisSemantic proximity Read ↗

Integrated bioinformatics analysis of potential biomarkers for pancreatic cancerSemantic proximity Read ↗

Identification and Interaction Analysis of Molecular Markers in Pancreatic Ductal Adenocarcinoma by Integrated Bioinformatics Analysis and Molecular Docking ExperimentsSemantic proximity Read ↗

Comprehensive analysis of abnormal expression, prognostic value and oncogenic role of the hub gene FN1 in pancreatic ductal adenocarcinoma via bioinformatic analysis and in vitro experimentsSemantic proximity Read ↗

Integrated Analysis of Microarray and RNA-Seq Data for the Identification of Hub Genes and Networks Involved in the Pancreatic CancerSemantic proximity Read ↗

Identification of Critical Pathways and Potential Key Genes in Poorly Differentiated Pancreatic AdenocarcinomaSemantic proximity Read ↗

Identification of differentially expressed genes in pancreatic ductal adenocarcinoma and normal pancreatic tissues based on microarray datasetsSemantic proximity Read ↗

Identification of Key Genes and Pathways in Pancreatic Cancer Gene Expression Profile by Integrative AnalysisSemantic proximity Read ↗

Identification of novel genes associated with a poor prognosis in pancreatic ductal adenocarcinoma via a bioinformatics analysisSemantic proximity Read ↗

Integrated transcriptomic analysis reveals hub genes involved in diagnosis and prognosis of pancreatic cancerSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.