ArticleBritish journal of cancer2021
Predicting the clinical outcome of oral potentially malignant disorders using transcriptomic-based molecular pathology.
Article in British journal of cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 26 citations in OpenAlex.
- Transcriptomic atlas of premalignant oral squamous cell carcinoma in an aging mouse model reveals an enhanced immune response and dysregulation of head and neck tissue stem cells.bioRxiv : the preprint server for biology · 2026Article
- Heterogeneous mechanisms, risk stratification, and translational advances in the malignant transformation of oral potentially malignant disorders to oral squamous cell carcinoma.Frontiers in molecular biosciences · 2026Review
- A novel mast cell marker gene-related prognostic signature to predict prognosis and reveal the immune landscape in head and neck squamous cell carcinoma.Frontiers in immunology · 2025Article
- Immunophenotypic and Gene Expression Analyses of the Inflammatory Microenvironment in High-Grade Oral Epithelial Dysplasia and Oral Lichen Planus.Head and neck pathology · 2024Article
- Bridging the gap between omics research and dental practice.BDJ open · 2024Review
- Knockdown of PGC1α suppresses dysplastic oral keratinocytes proliferation through reprogramming energy metabolism.International journal of oral science · 2023Article
- Proceedings of the North American Society of Head and Neck Pathology Companion Meeting, New Orleans, LA, March 12, 2023: Oral Cavity Dysplasia: Why Does Histologic Grading Continue to be Contentious?Head and neck pathology · 2023Review
- Review
- Transcriptomic analysis predicts the risk of progression of premalignant lesions in human tongue.Discover oncology · 2023Article
- Microenvironment in Oral Potentially Malignant Disorders: Multi-Dimensional Characteristics and Mechanisms of Carcinogenesis.International journal of molecular sciences · 2022Review
- Article
- The upregulation of oncogenic miRNAs in swabbed samples obtained from oral premalignant and malignant lesions.Clinical oral investigations · 2022Article
- Transcriptional analysis highlights three distinct immune profiles of high-risk oral epithelial dysplasia.Frontiers in immunology · 2022Article
- Genetic Changes Driving Immunosuppressive Microenvironments in Oral Premalignancy.Frontiers in immunology · 2022Review
Corrections and comments
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Authors and funding
8 authors at 6 institutions in 3 countries.
Funding
Abstract
backgroundThis study was undertaken to develop and validate a gene expression signature that characterises oral potentially malignant disorders (OPMD) with a high risk of undergoing malignant transformation.
methodsPatients with oral epithelial dysplasia at one hospital were selected as the 'training set' (n = 56) whilst those at another hospital were selected for the 'test set' (n = 66). RNA was extracted from formalin-fixed paraffin-embedded (FFPE) diagnostic biopsies and analysed using the NanoString nCounter platform. A targeted panel of 42 genes selected on their association with oral carcinogenesis was used to develop a prognostic gene signature. Following data normalisation, uni- and multivariable analysis, as well as prognostic modelling, were employed to develop and validate the gene signature.
resultsA prognostic classifier composed of 11 genes was developed using the training set. The multivariable prognostic model was used to predict patient risk scores in the test set. The prognostic gene signature was an independent predictor of malignant transformation when assessed in the test set, with the high-risk group showing worse prognosis [Hazard ratio = 12.65, p = 0.0003].
conclusionsThis study demonstrates proof of principle that RNA extracted from FFPE diagnostic biopsies of OPMD, when analysed on the NanoString nCounter platform, can be used to generate a molecular classifier that stratifies the risk of malignant transformation with promising clinical utility.
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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.