ArticleGastroenterology and hepatology from bed to bench2019
Gene screening of colorectal cancers via network analysis.
Article in Gastroenterology and hepatology from bed to bench, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Gene expression network analysis identified CDK1 and KIF11 as possible key molecules in the development of colorectal cancer from normal tissues.Genomics & informatics · 2025Article
- Analysis of complete and incomplete response to neoadjuvant therapy in rectum cancer patients.Gastroenterology and hepatology from bed to bench · 2025Article
- Combinatorial Network of Transcriptional and miRNA Regulation in Colorectal Cancer.International journal of molecular sciences · 2023Article
- 14,15-Epoxyeicosatrienoic Acid Protect Against Glucose Deprivation and Reperfusion-Induced Cerebral Microvascular Endothelial Cells Injury by Modulating Mitochondrial AutophagyFrontiers in cellular neuroscience · 2022Article
- Assessment of colon cancer molecular mechanism: a system biology approach.Gastroenterology and hepatology from bed to bench · 2021Article
- The effect of intestinal microbiota metabolites on HT29 cell line using MTT method in patients with colorectal cancer.Gastroenterology and hepatology from bed to bench · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimIdentifying crucial genes related to colorectal cancers via protein-protein interaction (PPI) network analysis is the aim of this study.
backgroundcolorectal cancer as major reason of mortality is evaluated by genetic and proteomic approaches to find suitable biomarkers. Chromosomal instability plays crucial role in CRC. Expression change of large numbers of genes is reported.
methodsDifferentially expressed genes related to CRCs which obtained from different proteomic methods were extracted from a review article of Paula Álvarez-Chaver
resultsAmong 123 query genes, 114 one recognized by software and were included in the network. SRC, EGFR, PCNA, IL8, CTNNB1, TIMP1, CDH1, and HSPD1 were determined as central genes. After gene ontology analysis SRC, EGFR, and CDH1 were identified as critical genes related to CRC.
conclusionIt seems that SRC, EGFR, and CDH1 and the related pathways are possible biomarkers for CRC.
Indexed as
Identifiers
31191840PMC6536014What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.