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 gene modules and hub genes in colon adenocarcinoma associated with pathological stage based on WGCNA analysis.

Cancer genetics - 1 Apr 2020

Wang Haijun, Liu Jia, Li Jinsong, Zang Dan, Wang Xiaohui, Chen Yiyang, Gu Tengteng, Su Wei, Song Na

Abstract excerpt

Colorectal cancer (CRC) is one of the leading causes of cancer-related mortality in the world, in which colon adenocarcinoma (COAD) is the most common histological subtype of CRC. In this study, our aim is to identify gene modules and representative candidate biomarkers for clinical prognosis of patients with COAD, and help to predict prognosis and reveal the mechanisms of cancer progression. Weighted gene...

Read the complete abstract on PubMed

Topics

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

Share to Adenocarcinoma
Share to Colonic Neoplasms

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Expression Regulation, Neoplastic

Share to Gene Ontology

Share to Gene Regulatory Networks

Share to Genes, Neoplasm

Share to Neoplasm Staging

Share to RNA, Neoplasm

Source

Identifiers

PMID: 32036224
DOI: 10.1016/j.cancergen.2020.01.052

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of gene modules and hub genes in colon adenocarcinoma associated with pathological stage based on WGCNA analysis.PMID 32036224Read ↗

Identifying miRNA and gene modules of colon cancer associated with pathological stage by weighted gene co-expression network analysisSemantic proximity Read ↗

Prediction and validation of GUCA2B as the hub-gene in colorectal cancer based on co-expression network analysis: In-silico and in-vivo studySemantic proximity Read ↗

Identification Hub Genes in Colorectal Cancer by Integrating Weighted Gene Co-Expression Network Analysis and Clinical Validation in vivo and vitroSemantic proximity Read ↗

Identification of Hub Genes for Early Diagnosis and Predicting Prognosis in Colon Adenocarcinoma: A Bioinformatics AnalysisSemantic proximity Read ↗

Identification of Hub Genes Associated with Development of Colon Carcinoma by Integrated Bioinformatics AnalysisSemantic proximity Read ↗

The key miRNAs for metastasis and survival of colon adenocarcinomaSemantic proximity Read ↗

Identification of key genes involved in the development and progression of early‑onset colorectal cancer by co‑expression network analysisSemantic proximity Read ↗

Identification of hub genes and its relationship with colorectal cancer patient prognosisSemantic proximity Read ↗

Identification of hub genes and construction of transcriptional regulatory network for the progression of colon adenocarcinoma hub genes and TF regulatory network of colon adenocarcinomaSemantic proximity Read ↗

Identification of key gene modules and genes in colorectal cancer by weighted gene co-expression network analysis (WGCNA)Semantic proximity Read ↗

Integrated Analysis of Oncogenic Networks in Colorectal Cancer Identifies GUCA2A as a Molecular MarkerSemantic proximity Read ↗

Identification of hub genes in colorectal cancer based on weighted gene co-expression network analysis and clinical data from The Cancer Genome AtlasSemantic proximity Read ↗

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