SynthesisBioMed research international2017
Gastric Cancer Associated Genes Identified by an Integrative Analysis of Gene Expression Data.
Synthesis in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- IGJ suppresses breast cancer growth and metastasis by inhibiting EMT via the NF‑κB signaling pathway.International journal of oncology · 2023Article
- Gastric Cancer Pre-Stage Detection and Early Diagnosis of Gastritis Using Serum Protein Signatures.Molecules (Basel, Switzerland) · 2022Article
- A tumour-resident Lgr5Nature cell biology · 2021Article
- Combined bioinformatics technology to explore pivot genes and related clinical prognosis in the development of gastric cancer.Scientific reports · 2021Article
- Artificial intelligence in gastric cancer: a translational narrative review.Annals of translational medicine · 2021Review
- Analysis of KRAS gene mutation associated withIranian journal of basic medical sciences · 2019Article
- Overexpression of UDP-Glucose 4-Epimerase Is Associated with Differentiation Grade of Gastric Cancer.Disease markers · 2019Article
- Analysis of Microarray-Identified Genes and MicroRNAs Associated with Idiopathic Pulmonary Fibrosis.Mediators of inflammation · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gastric cancer is one of the most severe complex diseases with high morbidity and mortality in the world. The molecular mechanisms and risk factors for this disease are still not clear since the cancer heterogeneity caused by different genetic and environmental factors. With more and more expression data accumulated nowadays, we can perform integrative analysis for these data to understand the complexity of gastric cancer and to identify consensus players for the heterogeneous cancer. In the present work, we screened the published gene expression data and analyzed them with integrative tool, combined with pathway and gene ontology enrichment investigation. We identified several consensus differentially expressed genes and these genes were further confirmed with literature mining; at last, two genes, that is, immunoglobulin J chain and C-X-C motif chemokine ligand 17, were screened as novel gastric cancer associated genes. Experimental validation is proposed to further confirm this finding.
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Registered trials
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