ArticleMolecular oncology2014
Transcriptional coexpression network reveals the involvement of varying stem cell features with different dysregulations in different gastric cancer subtypes.
Article in Molecular oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 21 citations in OpenAlex.
- Potential therapeutic targets of gastric cancer explored under endogenous network modeling of clinical data.Scientific reports · 2024Article
- Characterization of cuproptosis in gastric cancer and relationship with clinical and drug reactions.Frontiers in cell and developmental biology · 2023Article
- Suppression of OCT-1 in Metastatic Breast Cancer Cells Reduces Tumor Metastatic Potential, Hypoxia Resistance, and Drug Resistance.Life (Basel, Switzerland) · 2022Article
- The dawn of precision medicine in diffuse-type gastric cancer.Therapeutic advances in medical oncology · 2022Review
- Pterostilbene leads to DNMT3B-mediated DNA methylation and silencing of OCT1-targeted oncogenes in breast cancer cells.The Journal of nutritional biochemistry · 2021Article
- Identifying Hub Genes, Key Pathways and Immune Cell Infiltration Characteristics in Pediatric and Adult Ulcerative Colitis by Integrated Bioinformatic Analysis.Digestive diseases and sciences · 2021Article
- The Role and Clinical Implications of the Retinoblastoma (RB)-E2F Pathway in Gastric Cancer.Frontiers in oncology · 2021Review
- Mesenchymal Stem Cells in Gastric Cancer: Vicious but Hopeful.Frontiers in oncology · 2021Review
- Coexpressed modular gene expression reveals inverse correlation between immune responsive transcription and aggressiveness in gastric tumours.Cancer immunology, immunotherapy : CII · 2017Article
- Integrated analysis of long non-coding RNAs in human gastric cancer: An in silico study.PloS one · 2017Article
- Article
- The Oct1 transcription factor and epithelial malignancies: Old protein learns new tricks.Biochimica et biophysica acta · 2016Review
- Transcriptional coexpression network reveals the involvement of varying stem cell features with different dysregulations in different gastric cancer subtypes.Molecular oncology · 2014Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the advancements in the cancer therapeutics, gastric cancer ranks as the second most common cancers with high global mortality rate. Integrative functional genomic investigation is a powerful approach to understand the major dysregulations and to identify the potential targets toward the development of targeted therapeutics for various cancers. Intestinal and diffuse type gastric tumors remain the major subtypes and the molecular determinants and drivers of these distinct subtypes remain unidentified. In this investigation, by exploring the network of gene coexpression association in gastric tumors, mRNA expressions of 20,318 genes across 200 gastric tumors were categorized into 21 modules. The genes and the hub genes of the modules show gastric cancer subtype specific expression. The expression patterns of the modules were correlated with intestinal and diffuse subtypes as well as with the differentiation status of gastric tumors. Among these, G1 module has been identified as a major driving force of diffuse type gastric tumors with the features of (i) enriched mesenchymal, mesenchymal stem cell like, and mesenchymal derived multiple lineages, (ii) elevated OCT1 mediated transcription, (iii) involvement of Notch activation, and (iv) reduced polycomb mediated epigenetic repression. G13 module has been identified as key factor in intestinal type gastric tumors and found to have the characteristic features of (i) involvement of embryonic stem cell like properties, (ii) Wnt, MYC and E2F mediated transcription programs, and (iii) involvement of polycomb mediated repression. Thus the differential transcription programs, differential epigenetic regulation and varying stem cell features involved in two major subtypes of gastric cancer were delineated by exploring the gene coexpression network. The identified subtype specific dysregulations could be optimally employed in developing subtype specific therapeutic targeting strategies for gastric cancer.
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