ArticleCancer cell international2020
Exploring TCGA database for identification of potential prognostic genes in stomach adenocarcinoma.
Article in Cancer cell international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- The Role of Cocaine- and Amphetamine-Regulated Transcript (CART) in Cancer: A Systematic Review.International journal of molecular sciences · 2023Pooled it
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- A systems biology approach to unveil shared therapeutic targets and pathological pathways across major human cancers.Computational and structural biotechnology journal · 2025Article
- Comprehensive Computational Assessment of SNAI1 and SNAI2 in Gastric Cancer: Linking EMT, Tumor Microenvironment, and Survival Outcomes.Cancer informatics · 2025Article
- Circadian rhythm genes contribute to the prognosis prediction and potential therapeutic target in gastric cancer.Scientific reports · 2024Article
- CHST4 Gene as a Potential Predictor of Clinical Outcome in Malignant Pleural Mesothelioma.International journal of molecular sciences · 2024Article
- GPR137 inactivates Hippo signaling to promote gastric cancer cell malignancy.Biology direct · 2024Article
- The MexTAg collaborative cross: host genetics affects asbestos related disease latency, but has little influence once tumours develop.Frontiers in toxicology · 2024Article
- DNA cytosine deamination is associated with recurrent Somatic Copy Number Alterations in stomach adenocarcinoma.Frontiers in genetics · 2023Article
- Identification of prognostic genes in the pancreatic adenocarcinoma immune microenvironment by integrated bioinformatics analysis.Cancer immunology, immunotherapy : CII · 2022Article
- Characteristics of immunophenotypes and immunological in tumor microenvironment and analysis of immune implication of CXCR4 in gastric cancer.Scientific reports · 2022Article
- An integrated analysis of prognostic mRNA signature in early- and progressive-stage gastric adenocarcinoma.Frontiers in molecular biosciences · 2022Article
- Drug metabolism-related eight-gene signature can predict the prognosis of gastric adenocarcinoma.Journal of clinical laboratory analysis · 2021Article
- A Comprehensive Bioinformatic Analysis of NOTCH Pathway Involvement in Stomach Adenocarcinoma.Disease markers · 2021Article
- Identification of Immune-Related Risk Characteristics and Prognostic Value of Immunophenotyping in TNBC.Frontiers in genetics · 2021Article
- Identification of Key Genes Affecting the Tumor Microenvironment and Prognosis of Triple-Negative Breast Cancer.Frontiers in oncology · 2021Article
- Article
- Identification of Prognostic Genes in the Tumor Microenvironment of Hepatocellular Carcinoma.Frontiers in immunology · 2021Article
- C3AR1 mRNA as a Potential Therapeutic Target Associates With Clinical Outcomes and Tumor Microenvironment in Osteosarcoma.Frontiers in medicine · 2021Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundStomach adenocarcinoma (STAD) is the fifth most prevalent cancer in the world and ranks third among cancer-related deaths worldwide. The tumour microenvironment (TME) plays an important role in tumorigenesis, development, and metastasis. Hence, we calculated the immune and stromal scores to find the potential prognosis-related genes in STAD using bioinformatics analysis.
methodsThe ESTIMATE algorithm was used to calculate the immune/stromal scores of the STAD samples. Functional enrichment analysis, protein-protein interaction (PPI) network analysis, and overall survival analysis were then performed on differential genes. And we validated these genes using data from the Gene Expression Omnibus database. Finally, we used the Human Protein Atlas (HPA) databases to verify these genes at the protein levels by IHC.
resultsData analysis revealed correlation between stromal/immune scores and the TNM staging system. The top 10 core genes extracted from the PPI network, and primarily involved in immune responses, extracellular matrix, and cell adhesion. There are 31 genes have been validated with poor prognosis and 16 genes were upregulated in tumour tissues compared with normal tissues at the protein level.
conclusionsIn summary, we identified genes associated with the tumour microenvironment with prognostic implications in STAD, which may become potential therapeutic markers leading to better clinical outcomes.
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