Article3 Biotech2021
Integrated analysis and identification of nine-gene signature associated to oral squamous cell carcinoma pathogenesis.
Article in 3 Biotech, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 13 citations in OpenAlex.
- Identification of potential biomarkers for oral squamous cell carcinoma through multi-cohort bioinformatic analysis.Journal of the Egyptian National Cancer Institute · 2026Article
- Graph-based and molecular modeling approaches to identify TpiA as a noval therapeutic target in Neisseria meningitidis.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- TIMP4 serves as a novel potential prognostic biomarker for oral squamous cell carcinoma.Scientific reports · 2025Article
- Exploring Renin-angiotensin System Genes as Novel Prognostic Biomarkers for Oral Squamous Cell Carcinoma.International journal of medical sciences · 2025Article
- GLP and G9a histone methyltransferases as potential therapeutic targets for lymphoid neoplasms.Cancer cell international · 2024Review
- Advances in Neuropathic Pain Research: Selected Intracellular Factors as Potential Targets for Multidirectional Analgesics.Pharmaceuticals (Basel, Switzerland) · 2023Review
- In silico Methods for Identification of Potential Therapeutic Targets.Interdisciplinary sciences, computational life sciences · 2022Review
- PKMYT1 regulates the proliferation and epithelial-mesenchymal transition of oral squamous cell carcinoma cells by targeting CCNA2.Oncology letters · 2022Article
- Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Oral squamous cell carcinoma (OSCC) is one of the leading cancers with poor disease survival rate. Herein, we explored molecular basis, in silico identification and in vitro verification of genes associated with OSCC. Five gene expression series including, GSE30784, GSE13601, GSE9844, GSE23558 and GSE37991 were screened for differentially expressed genes (DEGs). Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were enriched by cluster Profiler. Further, protein-protein interaction network was analysed and hub genes were verified. A total of 6476 (up-regulated: 2848; down-regulated: 3628) DEGs were identified among OSCC patients and healthy controls. Gene Ontology analysis indicated DEGs enrichment in cellular motility, invasion and adhesion processes. KEGG analysis revealed enrichment of PI3K-Akt signalling, focal adhesion and regulation of actin cytoskeleton pathways. Subsequently, nine DEGs including SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13205-021-02737-4.
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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.