ArticleScientific reports2017
Prediction of biomarkers of oral squamous cell carcinoma using microarray technology.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed, 66 citations in OpenAlex.
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- Perspectives on the Application of Biosensors for the Early Detection of Oral Cancer.Sensors (Basel, Switzerland) · 2025Review
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- Role of transcriptomics in the study of oral cancer.Frontiers in oral health · 2025Review
- Guanylate binding protein 5 is an immune-related biomarker of oral squamous cell carcinoma: A retrospective prognostic study with bioinformatic analysis.Cancer medicine · 2024Article
- Construction of an abnormal glycosylation risk model and its application in predicting the prognosis of patients with head and neck cancer.Scientific reports · 2024Article
- Spatial subsetting enables integrative modeling of oral squamous cell carcinoma multiplex imaging data.iScience · 2023Article
- Identification of the potential regulatory interactions in rheumatoid arthritis through a comprehensive analysis of lncRNA-related ceRNA networks.BMC musculoskeletal disorders · 2023Article
- Identification of novel tumor-associated antigens and evaluation of a panel of autoantibodies in detecting oral cancer.BMC cancer · 2023Article
- Discovery of Biomarkers Related to Interstitial Fibrosis and Tubular Atrophy among Kidney Transplant Recipients by mRNA-Sequencing.Journal of personalized medicine · 2023Article
- Immune-Related Long Non-Coding RNA Signatures for Tongue Squamous Cell Carcinoma.Current oncology (Toronto, Ont.) · 2023Article
- Transcriptomic analysis predicts the risk of progression of premalignant lesions in human tongue.Discover oncology · 2023Article
- Functions and Mechanisms of Pro-Lysyl Oxidase Processing in Cancers and Eye Pathologies with a Focus on Diabetic Retinopathy.International journal of molecular sciences · 2022Review
- A robust and interpretable gene signature for predicting the lymph node status of primary T1/T2 oral cavity squamous cell carcinoma.International journal of cancer · 2022Article
- High Expression of Interferon Pathway Genes CXCL10 and STAT2 Is Associated with Activated T-Cell Signature and Better Outcome of Oral Cancer Patients.Journal of personalized medicine · 2022Article
- Epigenetic Regulations of Perineural Invasion in Head and Neck Squamous Cell Carcinoma.Frontiers in genetics · 2022Review
- Survival-Based Biomarker Module Identification Associated with Oral Squamous Cell Carcinoma (OSCC).Biology · 2021Article
- TRF2 Overexpression at the Surgical Resection Margin: A Potential Predictive Biomarker in Oral Squamous Cell Carcinoma for Recurrence.Indian journal of surgical oncology · 2021Article
- Gene expression profiling of corona virus microarray datasets to identify crucial targets in COVID-19 patients.Gene reports · 2021Article
- ATF3 downmodulates its new targets IFI6 and IFI27 to suppress the growth and migration of tongue squamous cell carcinoma cells.PLoS genetics · 2021Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microarray data is used to screen the genes of oral squamous cell carcinoma (OSCC). Microarray data of OSCC and normal tissues were downloaded from GEO database and analyzed with Benjamini-Hochberg (BH) method. Differentially expressed genes (DEGs) were then uploaded on DAVID database to process enrichment analysis. Target genes were finally chosen for verification experiment in vitro and in vivo. 78 DEGs were selected from 54676 genes, including 46 up- and 32 down- regulation. GO term showed that these genes were related to epidermal growth (biological processes), extracellular region (cellular components) and cytokines activity (molecular function). Protein network interaction demonstrated that OSCC was closely allied to the five key genes including CXCL10, IFI6, IFI27, ADAMTS2 and COL5A1, which was consistent with the RT-PCR data. High-expressed gene CXCL10 was chosen for further cell experiment, and the results indicated that CXCL10 can promote the proliferation, migration and invasion of normal cells and inhibited the cancer cells after si-RNA transfection. Moreover, it has been proven that CXCL10 was possibly related to the occurrence and development of OSCC. Understanding the regulation of OSCC expression will shed light on the screening of cancer biomarker.
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