ArticleMolecular biology reports2013
Network cluster analysis of protein-protein interaction network identified biomarker for early onset colorectal cancer.
Article in Molecular biology reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Exploring the prognostic value and biomarker of TEX11 in breast cancer via PANoptosis.Breast cancer (Tokyo, Japan) · 2026Article
- A cluster of blood-based protein biomarkers associated with decreased cerebral blood flow relates to future cardiovascular events in patients with cardiovascular disease.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023Article
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- Testis-expressed gene 11 inhibits cisplatin-induced DNA damage and contributes to chemoresistance in testicular germ cell tumor.Scientific reports · 2022Article
- A cluster of blood-based protein biomarkers reflecting coagulation relates to the burden of cerebral small vessel disease.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022Article
- Down-regulated C4orf19 confers poor prognosis in colon adenocarcinoma identified by gene co-expression network.Journal of Cancer · 2022Article
- A Gene-Based Machine Learning Classifier Associated to the Colorectal Adenoma-Carcinoma Sequence.Biomedicines · 2021Article
- The Importance of Sex in the Discovery of Colorectal Cancer Prognostic Biomarkers.International journal of molecular sciences · 2021Article
- Article
- A Qualitative Transcriptional Signature for the Risk Assessment of Precancerous Colorectal Lesions.Frontiers in genetics · 2020Article
- Article
- Article
- Interacting partners of FEN1 and its role in the development of anticancer therapeutics.Oncotarget · 2017Review
- Molecular approach to genetic and epigenetic pathogenesis of early-onset colorectal cancer.World journal of gastrointestinal oncology · 2016Review
- Biological Networks for Cancer Candidate Biomarkers Discovery.Cancer informatics · 2016Review
- Time-dependent variation of pathways and networks in a 24-hour window after cerebral ischemia-reperfusion injury.BMC systems biology · 2015Article
- Loss of stromal caveolin-1 expression in colorectal cancer predicts poor survival.World journal of gastroenterology · 2015Article
- Early-onset colorectal cancer: a sporadic or inherited disease?World journal of gastroenterology · 2014Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Colorectal cancer (CRC) is a major cause of morbidity and mortality throughout the world. However, the genetic alterations and molecular mechanism of the early onset CRCs are not fully investigated. The present study aimed to characterize early onset CRC by analyzing its gene expression compared with normal controls and to identify network-based biomarkers of early onset CRC. The gene expression profiles of early onset CRC were downloaded from Gene Expression Omnibus and the differentially expressed genes (DEGs) in CRC patients were identified. Then, a protein-protein interaction (PPI) network was constructed and the clusters in PPI were analyzed by ClusterONE. Furthermore, the gene ontology functional analysis and pathway enrichment analysis were conducted to the modules in PPI network. A systems biology approach integrating microarray data and PPI was further applied to construct a PPI network in CRC. Total 631 DEGs were identified from the early onset CRC compared to healthy controls. These genes were found to be involved in several biological processes, including cell communication, cell proliferation, cell shape and apoptosis. Five functional modules which may play important roles in the initiation of early onset CRC were identified from the PPI network. Functional annotation revealed that these five modules were involved in the pathways of signal transduction, carcinogenesis and metastasis. The hub nodes of these five modules, CDC42, TEX11, QKI, CAV1 and FN1, may serve as the biomarkers of early onset CRC and have the potential to be targets for therapeutic intervention. However, further investigations are still needed to confirm our findings.
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