ArticleGastroenterology and hepatology from bed to bench2024
Network analysis of H. pylori effect on AGS human gastric adenocarcinoma cells gene expression profile.
Article in Gastroenterology and hepatology from bed to bench, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aim: To better understand the molecular mechanism of Helicobacter pylori (H. pylori) in adenocarcinoma, the gene expression profile of AGS cells was analyzed by complementary study. Background: Gastric cancer, as one of the most lethal malignancies in the world, is important to be studied in terms of biomarkers. On the other hand, Helicobacter pylori is one of the key risk factors in this type of disease. Methods: In this cross-sectional study, we evaluated the seroprevalence of total and IgM anti-HAV antibodies of 254 institutionalized people with intellectual disabilities. Total and IgM anti-HAV antibodies of the blood samples of these people were determined by ELISA method. Protein-protein interaction (PPI) network analysis is a bioinformatic study with validation values for biomarker identification and clarification of molecular mechanisms. Cytoscape V 3.10.2 and its application identified potential central elements of the PPI network and its corresponding roles. Results: GAPDH and P53 are the most promising candidates in this study. In addition, the microRNA signatures assessment provided more information about these biomarkers and added more value. Conclusion: Consequently, a new outlook for the relationship between gastric cancer and H. pylori was explored based on the new key biomarkers.
Indexed as
Identifiers
What Socratic 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 Socratic graph.