ArticleMedical science monitor : international medical journal of experimental and clinical research2019
Identification of Key Genes and Circular RNAs in Human Gastric Cancer.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.
- MetaDE-Based Analysis of circRNA Expression Profiles Involved in Gastric Cancer.Digestive diseases and sciences · 2020Pooled it
- Article
- The Multifaced Role of Collagen in Cancer Development and Progression.International journal of molecular sciences · 2024Review
- Article
- CircSI-SSL: circRNA-binding site identification based on self-supervised learning.Bioinformatics (Oxford, England) · 2024Article
- Identification of differentially expressed genes associated with the pathogenesis of gastric cancer by bioinformatics analysis.BMC medical genomics · 2023Article
- CircSSNN: circRNA-binding site prediction via sequence self-attention neural networks with pre-normalization.BMC bioinformatics · 2023Article
- SPARC: a potential target for functional nanomaterials and drugs.Frontiers in molecular biosciences · 2023Review
- Circ_0081143 Contributes to Gastric Cancer Malignant Development and Doxorubicin Resistance by Elevating the Expression of YES1 by Targeting mziR-129-2-3p.Gut and liver · 2022Article
- Comprehensive Analysis of N6-Methyladenosine (mCanadian journal of gastroenterology & hepatology · 2022Article
- Circular RNA circLMO1 Suppresses Cervical Cancer Growth and Metastasis by Triggering miR-4291/Frontiers in oncology · 2022Article
- CRBPDL: Identification of circRNA-RBP interaction sites using an ensemble neural network approach.PLoS computational biology · 2022Article
- CircCNIH4 inhibits gastric cancer progression via regulating DKK2 and FRZB expression and Wnt/β-catenin pathway.Journal of biological research (Thessalonike, Greece) · 2021Article
- The silencing of FNDC1 inhibits the tumorigenesis of breast cancer cells via modulation of the PI3K/Akt signaling pathway.Molecular medicine reports · 2021Article
- Collagen XI alpha 1 chain, a potential therapeutic target for cancer.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2021Review
- Identification of Potential Bisphenol A (BPA) Exposure Biomarkers in Ovarian Cancer.Journal of clinical medicine · 2021Article
- Identifying of biomarkers associated with gastric cancer based on 11 topological analysis methods of CytoHubba.Scientific reports · 2021Article
- Circular RNA circ_0020123 Promotes Non-Small Cell Lung Cancer Progression Through miR-384/TRIM44 Axis.Cancer management and research · 2021Article
- RUNX2 promotes malignant progression in gastric cancer by regulating COL1A1.Cancer biomarkers : section A of Disease markers · 2021Article
- Identification of a nine-gene prognostic signature for gastric carcinoma using integrated bioinformatics analyses.World journal of gastrointestinal oncology · 2020Article
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
BACKGROUND Globally, gastric cancer (GC) is the third most common source of cancer-associated mortality. The aim of this study was to identify key genes and circular RNAs (circRNAs) in GC diagnosis, prognosis, and therapy and to further explore the potential molecular mechanisms of GC. MATERIAL AND METHODS Differentially expressed genes (DEGs) and circRNAs (DE circRNAs) between GC tissues and adjacent non-tumor tissues were identified from 3 mRNA and 3 circRNA expression profiles. Functional analyses were performed, and protein-protein interaction (PPI) networks were constructed. The significant modules and key genes in the PPI networks were identified. Kaplan-Meier analysis was performed to evaluate the prognostic value of these key genes. Potential miRNA-binding sites of the DE circRNAs and target genes of these miRNAs were predicted and used to construct DE circRNA-miRNA-mRNA networks. RESULTS A total of 196 upregulated and 311 downregulated genes were identified in GC. The results of functional analysis showed that these DEGs were significantly enriched in a variety of functions and pathways, including extracellular matrix-related pathways. Ten hub genes (COL1A1, COL3A1, COL1A2, COL5A2, FN1, THBS1, COL5A1, SPARC, COL18A1, and COL11A1) were identified via PPI network analysis. Kaplan-Meier analysis revealed that 7 of these were associated with a poor overall survival in GC patients. Furthermore, we identified 2 DE circRNAs, hsa_circ_0000332 and hsa_circ_0021087. To reveal the potential molecular mechanisms of circRNAs in GC, DE circRNA-microRNA-mRNA networks were constructed. CONCLUSIONS Key candidate genes and circRNAs were identified, and novel PPI and circRNA-microRNA-mRNA networks in GC were constructed. These may provide useful information for the exploration of potential biomarkers and targets for the diagnosis, prognosis, and therapy of GC.
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