SynthesisBMC cancer2011
A gene signature in histologically normal surgical margins is predictive of oral carcinoma recurrence.
Synthesis in BMC cancer, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 3 of them syntheses 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
79 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Loss of p53-DREAM-mediated repression of cell cycle genes as a driver of lymph node metastasis in head and neck cancer.Genome medicine · 2023Pooled it
- Molecular Portrait of Oral Tongue Squamous Cell Carcinoma Shown by Integrative Meta-Analysis of Expression Profiles with Validations.PloS one · 2016Pooled it
- Head and neck cancer subtypes with biological and clinical relevance: Meta-analysis of gene-expression data.Oncotarget · 2015Pooled it
- Shared patterns of dysregulated gene expression across squamous cell carcinomas unveil predictors for prognosis and drug sensitivity.Scientific reports · 2026Article
- Comprehensive big data analysis reveals SLC10A3 as a potential biomarker in head and neck cancer.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- PRECOG update: an augmented resource of clinical outcome associations with gene expression for adult, pediatric, and immunotherapy cohorts.Nucleic acids research · 2026Article
- Ovatodiolide overcomes cisplatin resistance in head and neck cancer by disrupting a novel oncogenic signature and cancer-associated fibroblast activation.Journal of dental sciences · 2026Article
- SKA1 promotes oncogenic properties in oral dysplasia and oral squamous cell carcinoma, and augments resistance to radiotherapy.Molecular oncology · 2025Article
- Constructing a neutrophil extracellular trap model based on machine learning to predict clinical outcomes and immune therapy responses in oral squamous cell carcinoma.Frontiers in genetics · 2025Article
- Leveraging Autofluorescence for Tumor Detection, Diagnosis, and Accurate Excision with Surgical Margin Assessment in Tumor Excision.Dentistry journal · 2024Article
- Identification of diagnostic biomarkers and immune cell infiltration in tongue squamous cell carcinoma using bioinformatic approaches.European journal of medical research · 2024Article
- GLUT5-overexpression-related tumorigenic implications.Molecular medicine (Cambridge, Mass.) · 2024Review
- Integrative and comprehensive pan-cancer analysis of ubiquitin specific peptidase 11 (Heliyon · 2024Article
- Early growth response 1 regulates dual‑specificity protein phosphatase 1 and inhibits cell migration and invasion of tongue squamous cell carcinoma.Oncology letters · 2024Article
- Tumor-infiltrating immune cells and survival in head and neck squamous cell carcinoma: a retrospective computational study.Scientific reports · 2024Article
- The Reign of Follistatin in Tumors and Their Microenvironment: Implications for Drug Resistance.Biology · 2024Review
- Integrated bioinformatics analysis of SEMA3C in tongue squamous cell carcinoma using machine-learning strategies.Cancer cell international · 2024Article
- Decoding oral cancer: insights from miRNA expression profiles and their regulatory targets.Frontiers in molecular biosciences · 2024Article
- Clinical Experience with Autofluorescence Guided Oral Squamous Cell Carcinoma Surgery.Diagnostics (Basel, Switzerland) · 2023Article
- IGF2BP2 acts as a mCell death discovery · 2023Article
19 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
Abstract
backgroundOral Squamous Cell Carcinoma (OSCC) is a major cause of cancer death worldwide, which is mainly due to recurrence leading to treatment failure and patient death. Histological status of surgical margins is a currently available assessment for recurrence risk in OSCC; however histological status does not predict recurrence, even in patients with histologically negative margins. Therefore, molecular analysis of histologically normal resection margins and the corresponding OSCC may aid in identifying a gene signature predictive of recurrence.
methodsWe used a meta-analysis of 199 samples (OSCCs and normal oral tissues) from five public microarray datasets, in addition to our microarray analysis of 96 OSCCs and histologically normal margins from 24 patients, to train a gene signature for recurrence. Validation was performed by quantitative real-time PCR using 136 samples from an independent cohort of 30 patients.
resultsWe identified 138 significantly over-expressed genes (> 2-fold, false discovery rate of 0.01) in OSCC. By penalized likelihood Cox regression, we identified a 4-gene signature with prognostic value for recurrence in our training set. This signature comprised the invasion-related genes MMP1, COL4A1, P4HA2, and THBS2. Over-expression of this 4-gene signature in histologically normal margins was associated with recurrence in our training cohort (p = 0.0003, logrank test) and in our independent validation cohort (p = 0.04, HR = 6.8, logrank test).
conclusionGene expression alterations occur in histologically normal margins in OSCC. Over-expression of the 4-gene signature in histologically normal surgical margins was validated and highly predictive of recurrence in an independent patient cohort. Our findings may be applied to develop a molecular test, which would be clinically useful to help predict which patients are at a higher risk of local recurrence.
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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.