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 Thirteen-Gene Expression Signature Predicts Survival of Patients with Pancreatic Cancer and Identifies New Genes of Interest

2 Sept 2014

Abstract excerpt

BACKGROUND: Currently, prognostication for pancreatic ductal adenocarcinoma (PDAC) is based upon a coarse clinical staging system. Thus, more accurate prognostic tests are needed for PDAC patients to aid treatment decisions. METHODS AND FINDINGS: Affymetrix gene expression profiling was carried out on 15 human PDAC tumors and from the data we identified a 13-gene expression signature (risk score) that correlated...

Read the complete abstract on PubMed

Topics

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

Share to Ferroptosis and cancer prognosis
Share to Pancreatic and Hepatic Oncology Research
Share to Pancreatitis Pathology and Treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 25180633
DOI: 10.1371/journal.pone.0105631

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A Thirteen-Gene Expression Signature Predicts Survival of Patients with Pancreatic Cancer and Identifies New Genes of InterestPMID 25180633Read ↗

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

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

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

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

A multi-gene signature predicts outcome in patients with pancreatic ductal adenocarcinomaSemantic proximity Read ↗

PDAC-ANN: an artificial neural network to predict pancreatic ductal adenocarcinoma based on gene expressionSemantic proximity Read ↗

Development of a four-gene prognostic model for pancreatic cancer based on transcriptome dysregulationSemantic proximity Read ↗

A 15-Gene Immune, Stromal, and Proliferation Gene Signature that Significantly Associates with Poor Survival in Patients with Pancreatic Ductal AdenocarcinomaSemantic proximity Read ↗

Discovering a specialized programmed-cell death patterns for prognostic model of pancreatic ductal carcinoma via machine learningSemantic proximity Read ↗

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

Multidimensional analyses identify genes of high priority for pancreatic cancer researchSemantic proximity Read ↗

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

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