ArticleGastroenterology research and practice2016
Screening Driving Transcription Factors in the Processing of Gastric Cancer.
Article in Gastroenterology research and practice, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- RUNX2 influences alternative splicing of genes associated with gastric cancer progression by regulating SF3B6 expression in HGC-27 cells.Molecular genetics and genomics : MGG · 2026Article
- High expression ofBiochemistry and biophysics reports · 2025Article
- Smad2 Cooperating with TGIF2 Contributes to EMT and Cancer Stem Cells Properties in Pancreatic Cancer via Co-Targeting SOX2.International journal of biological sciences · 2025Article
- KPNA2 promotes the progression of gastric cancer by regulating the alternative splicing of related genes.Scientific reports · 2024Article
- Overexpression of FOXC1 Promotes Tumor Metastasis by Activating the Wnt/β-Catenin Signaling Pathway in Gastric Cancer.Digestive diseases and sciences · 2022Article
- Stemness-related gene signature for predicting therapeutic response in patients with esophageal cancer.Translational cancer research · 2022Article
- A Deep Neural Network for Gastric Cancer Prognosis Prediction Based on Biological Information Pathways.Journal of oncology · 2022Article
- Low Level of PALMD Contributes to the Metastasis of Uveal Melanoma.Frontiers in oncology · 2022Article
- Prognostic Role of M6A-Associated Immune Genes and Cluster-Related Tumor Microenvironment Analysis: A Multi-Omics Practice in Stomach Adenocarcinoma.Frontiers in cell and developmental biology · 2022Article
- FOXD1-AS1 regulates FOXD1 translation and promotes gastric cancer progression and chemoresistance by activating the PI3K/AKT/mTOR pathway.Molecular oncology · 2021Article
- A zinc finger family protein, ZNF263, promotes hepatocellular carcinoma resistance to apoptosis via activation of ER stress-dependent autophagy.Translational oncology · 2020Article
- ZNF263 is a transcriptional regulator of heparin and heparan sulfate biosynthesis.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- High Expression ofJournal of clinical medicine · 2019Article
- The multisystemic functions of FOXD1 in development and disease.Journal of molecular medicine (Berlin, Germany) · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background. Construction of the transcriptional regulatory network can provide additional clues on the regulatory mechanisms and therapeutic applications in gastric cancer. Methods. Gene expression profiles of gastric cancer were downloaded from GEO database for integrated analysis. All of DEGs were analyzed by GO enrichment and KEGG pathway enrichment. Transcription factors were further identified and then a global transcriptional regulatory network was constructed. Results. By integrated analysis of the six eligible datasets (340 cases and 43 controls), a bunch of 2327 DEGs were identified, including 2100 upregulated and 227 downregulated DEGs. Functional enrichment analysis of DEGs showed that digestion was a significantly enriched GO term for biological process. Moreover, there were two important enriched KEGG pathways: cell cycle and homologous recombination. Furthermore, a total of 70 differentially expressed TFs were identified and the transcriptional regulatory network was constructed, which consisted of 566 TF-target interactions. The top ten TFs regulating most downstream target genes were BRCA1, ARID3A, EHF, SOX10, ZNF263, FOXL1, FEV, GATA3, FOXC1, and FOXD1. Most of them were involved in the carcinogenesis of gastric cancer. Conclusion. The transcriptional regulatory network can help researchers to further clarify the underlying regulatory mechanisms of gastric cancer tumorigenesis.
Identifiers
What 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.