ArticleMolecular medicine reports2018
Transcriptome sequencing identifies key pathways and genes involved in gastric adenocarcinoma.
Article in Molecular medicine reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 21 citations in OpenAlex.
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- Activity-based protein profiling and global proteome analysis reveal MASTL as a potential therapeutic target in gastric cancer.Cell communication and signaling : CCS · 2024Article
- The role of collagen triple helix repeat containing 1 (CTHRC1) in cancer development and progression.Expert opinion on therapeutic targets · 2024Review
- Integrated analysis of the microbiome and transcriptome in stomach adenocarcinoma.Open life sciences · 2023Article
- Systems biology and OMIC data integration to understand gastrointestinal cancers.World journal of clinical oncology · 2022Review
- Investigation on the cellular mechanism of Prunetin evidenced through next generation sequencing and bioinformatic approaches against gastric cancer.Scientific reports · 2022Article
- Deeper insights into long-term survival heterogeneity of pancreatic ductal adenocarcinoma (PDAC) patients using integrative individual- and group-level transcriptome network analyses.Scientific reports · 2022Article
- Article
- Identification and Validation of Afatinib Potential Drug Resistance GeneFrontiers in oncology · 2021Article
- Aberrant brain-expressed X-linked 4 (BEX4) expression is a novel prognostic biomarker in gastric cancer.Medicine · 2020Article
- Genome-wide transcriptome profiling of ex-vivo precision-cut slices from human pancreatic ductal adenocarcinoma.Scientific reports · 2020Article
- Identification of Core Prognosis-Related Candidate Genes in Chinese Gastric Cancer Population Based on Integrated Bioinformatics.BioMed research international · 2020Article
- Bioinformatics-based discovery of PYGM and TNNC2 as potential biomarkers of head and neck squamous cell carcinoma.Bioscience reports · 2019Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present study aimed to investigate the key pathways and genes associated with gastric adenocarcinoma via transcriptome sequencing. Five pairs of gastric adenocarcinoma tissue and normal tumor‑adjacent tissue were harvested. After sequencing, raw data were processed and differentially expressed genes (DEGs) between tumor and control groups were screened, followed by functional enrichment analysis and gene clustering analysis. The effect of DEGs on patient prognosis was analyzed on the basis of the survival data from gastric adenocarcinoma patients in The Cancer Genome Atlas database. Several genes were validated through reverse transcription‑quantitative polymerase chain reaction. In total, 1,477 upregulated and 282 downregulated DEGs were screened in tumor groups. These genes were segregated into four clusters. Genes in cluster 1 were significantly involved in metabolism of xenobiotics by cytochrome P450, genes in cluster 2 were majorly involved in apoptosis, tight junction formation, and platelet activation, genes in cluster 3 were primarily enriched in the p53 signaling pathway and genes in cluster 4 were significantly enriched in the insulin resistance pathway. Furthermore, 15 DEGs significantly influenced prognosis, including F2R, CTHRC1, and RASGRP3. The expression levels of CYP2B6, MAPK13, CTHRC, RASGRP3 and PYGM were consistent with our analysis results. In conclusion, pathways for metabolism of xenobiotics via cytochrome P450, apoptosis, tight junction formation, platelet activation, and insulin resistance may serve important roles in the progression of gastric adenocarcinoma. Notably, CTHRC1 and RASGRP3 may serve as key prognostic markers.
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