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

A multi-gene signature predicts outcome in patients with pancreatic ductal adenocarcinoma

3 Dec 2014

Abstract excerpt

BACKGROUND: Improved usage of the repertoires of pancreatic ductal adenocarcinoma (PDAC) profiles is crucially needed to guide the development of predictive and prognostic tools that could inform the selection of treatment options. METHODS: Using publicly available mRNA abundance datasets, we performed a large retrospective meta-analysis on 466 PDAC patients to discover prognostic gene signatures. These...

Read the complete abstract on PubMed

Topics

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

Share to Cholangiocarcinoma and Gallbladder Cancer Studies
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: 25587357
DOI: 10.1186/s13073-014-0105-3

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A multi-gene signature predicts outcome in patients with pancreatic ductal adenocarcinomaPMID 25587357Read ↗

Development and Validation of a 7-Gene Prognostic Signature to Improve Survival Prediction in Pancreatic Ductal AdenocarcinomaSemantic proximity Read ↗

A transcriptomics-based meta-analysis combined with machine learning approach identifies a secretory biomarker panel for diagnosis of pancreatic adenocarcinomaSemantic proximity Read ↗

Meta-analysis of 1,200 transcriptomic profiles identifies a prognostic model for pancreatic ductal adenocarcinomaSemantic proximity Read ↗

A Six-Gene Signature Predicts Survival of Patients with Localized Pancreatic Ductal AdenocarcinomaSemantic proximity Read ↗

Identification of a Nine-Gene Signature and Establishment of a Prognostic Nomogram Predicting Overall Survival of Pancreatic CancerSemantic proximity Read ↗

Pancreatic cancer survival analysis defines a signature that predicts outcomeSemantic proximity Read ↗

A novel 20-gene prognostic score in pancreatic adenocarcinomaSemantic proximity Read ↗

Molecular classification and prognosis study of pancreatic ductal adenocarcinoma through multi-omics integrated clustering analysis.Semantic proximity Read ↗

Gene expression profiling of 1200 pancreatic ductal adenocarcinoma reveals novel subtypesSemantic proximity Read ↗

Analysis of a large cohort of pancreatic cancer transcriptomic profiles to reveal the strongest prognostic factorsSemantic proximity Read ↗

Construction of a prognostic prediction system for pancreatic ductal adenocarcinoma to investigate the key prognostic genes.Semantic proximity Read ↗

Development and clinical validation of a novel 9-gene prognostic model based on multi-omics in pancreatic adenocarcinoma.Semantic proximity Read ↗

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