ArticleTranslational cancer research2020
Comprehensive analysis reveals
Article in Translational cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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.
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Who cites it
15 citing papers in PubMed, 24 citations in OpenAlex.
- CDX2-UPK1B-PIK3IP1-PI3K/AKT signaling axis regulates gastric cancer cell invasion and migration and influences patient prognosis.Experimental and therapeutic medicine · 2026Article
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- A signature based on efferocytosis-related genes for the evaluation of prognosis and the tumour microenvironment in gastric cancer.Scientific reports · 2025Article
- Article
- The role of collagen triple helix repeat containing 1 (CTHRC1) in cancer development and progression.Expert opinion on therapeutic targets · 2024Review
- Identification of Fatty Acid Metabolism-Related Subtypes in Gastric Cancer Aided by Machine Learning.Cancer management and research · 2024Article
- Prediction of immune infiltration and prognosis for patients with gastric cancer based on the immune-related genes signature.Heliyon · 2023Article
- Integrated bioinformatics analysis of noncoding RNAs with tumor immune microenvironment in gastric cancer.Scientific reports · 2023Article
- CTHRC1, a novel gene with multiple functions in physiology, disease and solid tumors (Review).Oncology letters · 2023Review
- Uroplakin 1a Knockout Mice Display Marginal Reduction in Fecundity, Decreased Bacterial Clearance Capacity, and Drastic Changes in the Testicular Transcriptome.Reproductive sciences (Thousand Oaks, Calif.) · 2023Article
- Key Roles of p53 Signaling Pathway-Related Factors GADD45B and SERPINE1 in the Occurrence and Development of Gastric Cancer.Mediators of inflammation · 2023Article
- Identification and verification of a glycolysis-related gene signature for gastric cancer.Annals of translational medicine · 2022Article
- A risk score model based on TGF-β pathway-related genes predicts survival, tumor microenvironment and immunotherapy for liver hepatocellular carcinoma.Proteome science · 2022Article
- Versican enrichment predicts poor prognosis and response to adjuvant therapy and immunotherapy in gastric cancer.Frontiers in immunology · 2022Article
- Novel CircRNAs in Hub ceRNA Axis Regulate Gastric Cancer Prognosis and Microenvironment.Frontiers in medicine · 2021Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGastric cancer (GC) is one of the most common malignant diseases worldwide, the incidence and mortality for GC is still high, thus it is urgently important to identify the effective and reliable biomarkers to evaluate GC and the underlying molecular events.
methodsThe study integrated four Gene Expression Omnibus (GEO) profile datasets and The Cancer Genome Atlas (TCGA) dataset to screen differentially expressed genes (DEGs), screened key genes by performing the Kaplan-Meier analysis, univariate and multivariate-cox analysis. Further analysis were performed to evaluate and validate the prognostic value of the key genes based on TCGA database and online websites. In addition, mechanism analysis of the key genes was performed thought biological processes and KEGG pathway analysis.
resultsIn the study, 192 DEGs (92 up-regulated and 100 down-regulated) were identified from the GEO and TCGA datasets. Next, gene ontology (GO) for DEGs focused primarily on cell adhesion, extracellular region and extracellular matrix structural constituent. Then four significant key genes were screened by performed the Kaplan-Meier analysis, univariate and multivariate-cox analysis. By using Kaplan-Meier plotter and OncoLnc, the expression level was associated with a worse prognosis. In addition, the area under curve (AUC) for time-dependent receiver operating characteristic (ROC) indicated a moderate diagnostic value. Furthermore, the expression of collagen triple helix repeat containing 1 (
conclusionsTaken together,
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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.