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

Multi-level reproducibility of signature hubs in human interactome for breast cancer metastasis.

BMC systems biology - 9 Nov 2010

Yao Chen, Li Hongdong, Zhou Chenggui, Zhang Lin, Zou Jinfeng, Guo Zheng

Abstract excerpt

BACKGROUND: It has been suggested that, in the human protein-protein interaction network, changes of co-expression between highly connected proteins ("hub") and their interaction neighbours might have important roles in cancer metastasis and be predictive disease signatures for patient outcome. However, for a cancer, such disease signatures identified from different studies have little overlap. RESULTS: Here, we...

Read the complete abstract on PubMed

Topics

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

Share to Breast Neoplasms
Share to Databases, Factual
Share to Gene Expression Regulation, Neoplastic

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Neoplasm Metastasis

Share to Protein Binding

Share to Proteins

Share to Reproducibility of Results

Share to Systems Biology

Source

Open in PubMed Open full text

Identifiers

PMID: 21059271
DOI: 10.1186/1752-0509-4-151
PMCID: PMC2990745

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Multi-level reproducibility of signature hubs in human interactome for breast cancer metastasis.PMID 21059271Read ↗

Hub genes in a pan-cancer co-expression network show potential for predicting drug responsesSemantic proximity Read ↗

Co-expression of key gene modules and pathways of human breast cancer cell linesSemantic proximity Read ↗

Co-expression network analysis identified six hub genes in association with metastasis risk and prognosis in hepatocellular carcinomaSemantic proximity Read ↗

Pan-cancer analysis of somatic mutations and transcriptomes reveals common functional gene clusters shared by multiple cancer types.Semantic proximity Read ↗

Integrated Analysis Revealed Hub Genes in Breast CancerSemantic proximity Read ↗

Identification of diagnostic subnetwork markers for cancer in human protein-protein interaction networkSemantic proximity Read ↗

Discovering Disease Genes in PPI Networks: A Bridge from Centrality to CommunitiesSemantic proximity Read ↗

Interactome–transcriptome integration for predicting distant metastasis in breast cancerSemantic proximity Read ↗

Identification of the association between HMMR expression and progression of hepatocellular carcinoma via construction of a co‑expression networkSemantic proximity Read ↗

Improved prediction of breast cancer outcome by identifying heterogeneous biomarkersSemantic proximity Read ↗

Inferring gene dependency network specific to phenotypic alteration based on gene expression data and clinical information of breast cancer.Semantic proximity Read ↗

Comparative analysis of Pure Hubs and Pure Bottlenecks in Human Protein-protein Interaction NetworksSemantic proximity Read ↗

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