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 network‐based predictive gene expression signature for recurrence risks in stage II colorectal cancer

14 Nov 2019

Abstract excerpt

The current criteria for defining the recurrence risks of stage II colorectal cancer (CRC) are not robust; therefore, we aimed to explore novel gene signatures to predict recurrence risks and to reveal the underlying mechanisms of stage II CRC. First, the gene expression profiles of 124 patients with stage II CRC from The Cancer Genome Atlas (TCGA) database were obtained to screen differentially expressed genes...

Read the complete abstract on PubMed

Topics

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

Share to Cancer, Hypoxia, and Metabolism
Share to Colorectal Cancer Treatments and Studies
Share to Radiomics and Machine Learning in Medical Imaging

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 31724326
DOI: 10.1002/cam4.2642

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A network‐based predictive gene expression signature for recurrence risks in stage II colorectal cancerPMID 31724326Read ↗

Identification of Hub Genes and Construction of a Transcriptional Regulatory Network Associated With Tumor Recurrence in Colorectal Cancer by Weighted Gene Co-expression Network AnalysisSemantic proximity Read ↗

A novel 9-gene signature for the prediction of postoperative recurrence in stage II/III colorectal cancerSemantic proximity Read ↗

An immune-related gene prognostic index for predicting prognosis in patients with colorectal cancerSemantic proximity Read ↗

Construction and Validation of Prognostic Signature Model Based on Metastatic Features for Colorectal CancerSemantic proximity Read ↗

Development and validation of an RBP gene signature for prognosis prediction in colorectal cancer based on WGCNASemantic proximity Read ↗

Development and Validation of an 8-Gene Signature to Improve Survival Prediction of Colorectal CancerSemantic proximity Read ↗

Recurrence‐associated gene signature optimizes recurrence‐free survival prediction of colorectal cancerSemantic proximity Read ↗

Integrative Gene Expression Profiling Analysis to Investigate Potential Prognostic Biomarkers for Colorectal CancerSemantic proximity Read ↗

Weighted gene co-expression network analysis identified MYL9 and CNN1 are associated with recurrence in colorectal cancerSemantic proximity Read ↗

The identification of a common different gene expression signature in patients with colorectal cancerSemantic proximity Read ↗

A network-based gene expression signature informs prognosis and treatment for colorectal cancer patients.Semantic proximity Read ↗

Colon cancer recurrence-associated genes revealed by WGCNA co-expression network analysisSemantic proximity Read ↗

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