ArticleGastroenterology and hepatology from bed to bench2017
Introducing crucial protein panel of gastric adenocarcinoma disease.
Article in Gastroenterology and hepatology from bed to bench, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Mitogen-Activated Protein Kinase-3 (MAPK3) Is the Main Target of Microsecond Pulsed Electric Field in Human Medulloblastoma.Asian Pacific journal of cancer prevention : APJCP · 2026Article
- Phosphorus metabolism disorders in erythrocytes and lymphocytes among patients with inflammatory breast cancer, infiltrative stomach and colorectal cancer.Journal of medicine and life · 2022Article
- Protein-Protein Interaction Analysis through Network Topology (Oral Cancer).Journal of healthcare engineering · 2021Article
- Protein Interaction Mapping related to Becker Muscular Dystrophy.Iranian journal of child neurology · 2019Article
- ANXA2, PRKCE, and OXT are critical differentially genes in Nonalcoholic fatty liver disease.Gastroenterology and hepatology from bed to bench · 2019Article
- Highlighted role of VEGFA in follow up of celiac disease.Gastroenterology and hepatology from bed to bench · 2019Article
- Comparative study of gastric cancer and chronic gastritis via network analysis.Gastroenterology and hepatology from bed to bench · 2018Article
- Network-Based Differential Analysis to Identify Molecular Features of Tumorigenesis for Esophageal Squamous Carcinoma.Molecules (Basel, Switzerland) · 2018Article
- Biochemical pathway analysis of gastric atrophy.Gastroenterology and hepatology from bed to bench · 2018Article
- Celiac disease microarray analysis based on System Biology Approach.Gastroenterology and hepatology from bed to bench · 2018Article
- Oral squamous cell cancer protein-protein interaction network interpretation in comparison to esophageal adenocarcinoma.Gastroenterology and hepatology from bed to bench · 2017Article
- Pancreatic adenocarcinoma protein-protein interaction network analysis.Gastroenterology and hepatology from bed to bench · 2017Article
- Network analysis of common genes related to esophageal, gastric, and colon cancers.Gastroenterology and hepatology from bed to bench · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimSince interactome analysis of diseases can provide candidate biomarker panel related to the diseases, in this research, protein-protein interaction (PPI) network analysis is used to introduce the involved crucial proteins in Gastric adenocarcinoma (GA).
backgroundGastric adenocarcinoma (GA) is the most common type of stomach cancer. There is no efficient diagnostic molecular method for GA.
methodApplying Cytoscape software 3.4.0 and String Database, the PPI network was constructed for 200 genes. Based on centrality parameters, the critical nodes were screened. Gene ontology of the key proteins for pathway analysis and molecular function processing were done and the highlighted pathways and activities were discussed.
resultsAmong 200 initial genes, 141 genes were included in a main connected network. Seven crucial proteins, including tumor protein p53, epidermal growth factor receptor, albumin, v-erb-b2 erythroblastic leukemia viral oncogene homolog 2, neuro/glioblastoma derived oncogene homolog (avian), v-akt murine thymoma viral oncogene homolog 1, v-src sarcoma (Schmidt-Ruppin A-2) viral oncogene homolog (avian) and catenin (cadherin-associated protein), beta 1, 88kDa, and Myogenic differentiation 1, were introduced as key nodes of the network. These identified proteins are mostly involved in pathways and activities related to cancer.
conclusionIn conclusion, the finding is corresponding to the significant roles of these introduced proteins in GA disease. This protein panel may be a useful probe in the management of GA.
Indexed as
Identifiers
28331560PMC5346820What 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.