ArticlePeerJ2017
A 16-gene signature predicting prognosis of patients with oral tongue squamous cell carcinoma.
Article in PeerJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Integrated analysis identifies CCNA2 as a candidate diagnostic and prognostic biomarker in oral tongue squamous cell carcinoma.Journal of applied oral science : revista FOB · 2026Article
- Development of a prognostic prediction model based on damage-associated molecular pattern for colorectal cancer applying bulk RNA-seq analysis.Scientific reports · 2025Article
- Exploring potential causal genetic variants and genes for endometrial cancer: Open Targets Genetics, Mendelian randomization, and multi-tissue transcriptome-wide association analysis.Translational cancer research · 2024Article
- SMYD2 Imparts Gemcitabine Resistance to Pancreatic Adenocarcinoma Cells by Upregulating EVI2A.Molecular biotechnology · 2024Article
- Integrative bioinformatics andOncology research · 2024Article
- Exploring the mitochondrial genome of Caridina pseudogracilirostris: a comparative analysis within the Atyidae Family.Molecular biology reports · 2023Article
- The Expression Profile, Clinical Application and Potential Tumor Suppressing Mechanism of hsa_circ_0001675 in Head and Neck Carcinoma.Frontiers in oncology · 2022Article
- Transcriptional heterogeneity of clonal plasma cells and immune evasion in immunoglobulin light chain amyloidosis.International journal of hematology · 2021Article
- Establishment and Validation of a Comprehensive Prognostic Model for Patients With HNSCC Metastasis.Frontiers in genetics · 2021Article
- A 15-Gene Signature and Prognostic Nomogram for Predicting Overall Survival in Non-Distant Metastatic Oral Tongue Squamous Cell Carcinoma.Frontiers in oncology · 2021Article
- Identification and validation of seven prognostic long non-coding RNAs in oral squamous cell carcinoma.Oncology letters · 2020Article
- Prognostic Value of DNA Methylation-Driven Genes in Clear Cell Renal Cell Carcinoma: A Study Based on Methylation and Transcriptome Analyses.Disease markers · 2020Article
- A Novel Six-Gene Signature for Prognosis Prediction in Ovarian Cancer.Frontiers in genetics · 2020Article
- Transcriptomics and Epigenomics in head and neck cancer: available repositories and molecular signatures.Cancers of the head & neck · 2020Review
- Five extracellular matrix-associated genes upregulated in oral tongue squamous cell carcinoma: An integrated bioinformatics analysis.Oncology letters · 2019Article
- A three-lncRNA expression signature predicts survival in head and neck squamous cell carcinoma (HNSCC).Bioscience reports · 2018Article
- Expression profiles analysis identifies a novel three-mRNA signature to predict overall survival in oral squamous cell carcinoma.American journal of cancer research · 2018Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOral tongue squamous cell carcinoma (OTSCC) is the most common subtype of oral cancer. A predictive gene signature is necessary for prognosis of OTSCC.
methodsFive microarray data sets of OTSCC from the Gene Expression Omnibus (GEO) and one data set from The Cancer Genome Atlas (TCGA) were obtained. Differentially expressed genes (DEGs) of GEO data sets were identified by integrated analysis. The DEGs associated with prognosis were screened in the TCGA data set by univariate survival analysis to obtain a gene signature. A risk score was calculated as the summation of weighted expression levels with coefficients by Cox analysis. The signature was used to distinguish carcinoma, estimated by receiver operator characteristic curves and the area under the curve (AUC). All were validated in the GEO and TCGA data sets.
resultsIntegrated analysis of GEO data sets revealed 300 DEGs. A 16-gene signature and a risk score were developed after survival analysis. The risk score was effective to stratify patients into high-risk and low-risk groups in the TCGA data set ( DISCUSSION: We identified a useful 16-gene signature for prognosis of OTSCC patients, which could be applied to clinical practice. Further studies were needed to prove the findings.
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