ArticleInternational dental journal2023
Poor Prognosis of Oral Squamous Cell Carcinoma Correlates With ITGA6.
Article in International dental journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 20 citations in OpenAlex.
- Structure, function and usage of integrin alpha 6 (CD49f): A comprehensive review.Biomedical papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia · 2026Review
- Dioscin suppresses tumorigenesis and overcomes radioresistance by promoting ubiquitination-mediated degradation of Mcl-1.Cancer gene therapy · 2026Article
- Expression Characteristics of SYPL1 in Oral Squamous Cell Carcinoma and Its Correlation With Prognosis.International dental journal · 2026Article
- The LAMB3-ITGA6 axis orchestrates epithelial repair in periodontitis via hemidesmosomal regulation and keratinization modulation.Frontiers in cell and developmental biology · 2026Article
- Identification of novel biomarkers involved in oral squamous cell carcinoma by whole transcriptome sequencing and bioinformatics analysis.Cancer cell international · 2025Article
- Autophagy in oral cancer: Promises and challenges (Review).International journal of molecular medicine · 2024Review
- Article
- Exostoisns (EXT1/2) in Head and Neck Cancers: An In Silico Analysis and Clinical Correlates.International dental journal · 2024Article
- PI3K/AKT Signaling Pathway Mediated Autophagy in Oral Carcinoma - A Comprehensive Review.International journal of medical sciences · 2024Review
- Malignant Transformation of Normal Oral Tissue to Dysplasia and Early Oral Squamous Cell Carcinoma: AnAnalytical cellular pathology (Amsterdam) · 2024Article
- Comparative clinical significance and biological roles of PFKFB family members in oral squamous cell carcinoma.Cancer cell international · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesOral cancer is the ninth most common cancer worldwide and a leading cause of cancer-related death. Oral squamous cell carcinoma (OSCC) accounts for 90% of all oral cancers. Autophagy is a conserved essential catabolic process related to OSCC. The aim of this study was to elucidate diagnostic and prognostic autophagy-related biomarkers in OSCC.
methodsThe OSCC gene expression data set was obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) between the OSCC samples and adjacent healthy tissues were identified by R software. The Human Autophagy Database was screened, which revealed 222 autophagy-related genes. The autophagy-related DEGs were identified. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were applied. Protein-protein interaction network analysis was performed in the STRING database. cytoHubba in the Cytoscape software was applied to determine the top 10 hub genes. The data set of patients with OSCC from The Cancer Genome Atlas (TCGA) was used to evaluate the prognostic value of the 10 hub genes. The association between prognosis-related hub genes and immune infiltrates was explored.
resultsTwenty-seven autophagy-related DEGs were identified. The top 10 hub genes were CCL2, CDKN2A, CTSB, CTSD, CXCR4, ITGA6, MAP1LC3A, MAPK3, PARP1, and RAB11A. ITGA6 was identified as the most efficient biomarker. Receiver operating characteristic curve analysis indicated that ITGA6 had the highest diagnostic accuracy for OSCC (area under the curve = 0.925). ITGA6 expression was significantly related to immune infiltrates.
conclusionsThe autophagy-related gene ITGA6 might be an efficient diagnostic and prognostic biomarker in OSCC.
Indexed as
Identifiers
What OpenQuestion holds
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.