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Lin H, Chen H, Lin J. Deep neural network uncertainty estimation for early oral cancer diagnosis. J Oral Pathol Med 2024; 53:294-302. [PMID: 38632703 DOI: 10.1111/jop.13536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 03/15/2024] [Accepted: 04/08/2024] [Indexed: 04/19/2024]
Abstract
BACKGROUND Early diagnosis in oral cancer is essential to reduce both morbidity and mortality. This study explores the use of uncertainty estimation in deep learning for early oral cancer diagnosis. METHODS We develop a Bayesian deep learning model termed 'Probabilistic HRNet', which utilizes the ensemble MC dropout method on HRNet. Additionally, two oral lesion datasets with distinct distributions are created. We conduct a retrospective study to assess the predictive performance and uncertainty of Probabilistic HRNet across these datasets. RESULTS Probabilistic HRNet performs optimally on the In-domain test set, achieving an F1 score of 95.3% and an AUC of 96.9% by excluding the top 30% high-uncertainty samples. For evaluations on the Domain-shift test set, the results show an F1 score of 64.9% and an AUC of 80.3%. After excluding 30% of the high-uncertainty samples, these metrics improve to an F1 score of 74.4% and an AUC of 85.6%. CONCLUSION Redirecting samples with high uncertainty to experts for subsequent diagnosis significantly decreases the rates of misdiagnosis, which highlights that uncertainty estimation is vital to ensure safe decision making for computer-aided early oral cancer diagnosis.
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Affiliation(s)
- Huiping Lin
- Department of Stomatology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Hanshen Chen
- College of Intelligent Transportation, Zhejiang Institute of Communications, Hangzhou, China
| | - Jun Lin
- Department of Stomatology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Santana NCM, de Sena ACVP, Rocha PADS, de Arruda JAA, Torres-Pereira CC, Abreu LG, Fournier BPJ, Warnakulasuriya S, Silva TA. Oral cancer and oral potentially malignant disorders in patients with Fanconi anemia - A systematic review. Oral Oncol 2024; 150:106699. [PMID: 38309198 DOI: 10.1016/j.oraloncology.2024.106699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 01/10/2024] [Accepted: 01/18/2024] [Indexed: 02/05/2024]
Abstract
The purpose of the present study was to perform a systematic review focusing on oral squamous cell carcinoma (OSCC) and oral potentially malignant disorders (OPMD) in Fanconi anemia (FA) individuals. Electronic searches were undertaken in five databases supplemented by manual scrutiny and gray literature. Case reports and/or cases series were included. The searches yielded 55 studies describing 112 cases of OSCC (n = 107) and/or OPMD (n = 5) in FA individuals. The mean age at diagnosis of OSCC/OPMD was 27.1 (±9.6) years, and females (51.8 %) were slightly more affected. Ulcer (n = 37) or mass (n = 25) were described as clinical presentations for OSCC and OPMD. White lesions (n = 4) were the most common manifestation in OPMD. Tongue (47.2 %) was the most frequent location. Sixty-one (54.5 %) individuals underwent HSCT. Surgical resection (n = 75) was the main treatment adopted. The estimated rate of OPMD malignant transformation was 1.8 % and recurrences following OSCC excision occurred in 26.8 % of individuals. Overall, at 60 months of follow-up, the probability of survival fell to 25.5 % and at 64 months the probability of recurrence increased to 63.2 %. The present data support the need for strict surveillance of patients with FA, even in the absence of OPMD, for early OSCC detection and reduction of mortality.
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Affiliation(s)
- Nayara Conceição Marcos Santana
- Department of Oral Surgery, Pathology and Clinical Dentistry, School of Dentistry, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
| | | | - Paula Alves da Silva Rocha
- Department of Oral Surgery, Pathology and Clinical Dentistry, School of Dentistry, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
| | - José Alcides Almeida de Arruda
- Department of Oral Diagnosis and Pathology, School of Dentistry, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
| | - Cassius Carvalho Torres-Pereira
- Department of Stomatology, School of Dentistry, Universidade Federal do Paraná, Curitiba, Paraná, Brazil; Multiprofessional Residency Program in Oncology and Hematology, Complexo Hospital de Clínicas, Universidade Federal do Paraná, Curitiba, Paraná, Brazil.
| | - Lucas Guimarães Abreu
- Department of Child and Adolescent Oral Health, School of Dentistry, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
| | - Benjamin P J Fournier
- Department of Oral Biology, Université de Paris, Dental Faculty, France; Centre de Recherche des Cordeliers, Université de Paris, Sorbonne Université, Inserm, Laboratory of Molecular Oral Pathophysiology, France; AP-HP, Reference Center for Dental Rare Diseases, Rothschild Hospital (ORARES), Paris, France.
| | - Saman Warnakulasuriya
- Faculty of Dentistry, Oral and Craniofacial Sciences, King's College London, UK; WHO Collaborating Centre for Oral Cancer, London, UK.
| | - Tarcília Aparecida Silva
- Department of Oral Surgery, Pathology and Clinical Dentistry, School of Dentistry, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil; Department of Oral Biology, Université de Paris, Dental Faculty, France; Centre de Recherche des Cordeliers, Université de Paris, Sorbonne Université, Inserm, Laboratory of Molecular Oral Pathophysiology, France.
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3
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Guida A, Warnakulasuriya S. Stomatognathic Diseases: State of the Art and Future Perspectives. J Clin Med 2022; 11:jcm11216525. [PMID: 36362753 PMCID: PMC9655770 DOI: 10.3390/jcm11216525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 11/02/2022] [Indexed: 11/06/2022] Open
Affiliation(s)
- Agostino Guida
- U.O.C. Odontostomatologia, A.O.R.N. “A. Cardarelli”, 80131 Naples, Italy
- Correspondence:
| | - Saman Warnakulasuriya
- Faculty of Dentistry, Oral & Craniofacial Sciences, King’s College London, London SE1 9RT, UK
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Walsh T, Warnakulasuriya S, Lingen MW, Kerr AR, Ogden GR, Glenny AM, Macey R. Clinical assessment for the detection of oral cavity cancer and potentially malignant disorders in apparently healthy adults. Cochrane Database Syst Rev 2021; 12:CD010173. [PMID: 34891214 PMCID: PMC8664456 DOI: 10.1002/14651858.cd010173.pub3] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
BACKGROUND The early detection of oral cavity squamous cell carcinoma (OSCC) and oral potentially malignant disorders (OPMD), followed by appropriate treatment, may improve survival and reduce the risk for malignant transformation respectively. This is an update of a Cochrane Review first published in 2013. OBJECTIVES To estimate the diagnostic test accuracy of conventional oral examination, vital rinsing, light-based detection, mouth self-examination, remote screening, and biomarkers, used singly or in combination, for the early detection of OPMD or OSCC in apparently healthy adults. SEARCH METHODS Cochrane Oral Health's Information Specialist searched the following databases: Cochrane Oral Health's Trials Register (to 20 October 2020), MEDLINE Ovid (1946 to 20 October 2020), and Embase Ovid (1980 to 20 October 2020). The US National Institutes of Health Trials Registry (ClinicalTrials.gov) and the World Health Organization International Clinical Trials Registry Platform were searched for ongoing trials. No restrictions were placed on the language or date of publication when searching the electronic databases. We conducted citation searches, and screened reference lists of included studies for additional references. SELECTION CRITERIA We selected studies that reported the test accuracy of any of the aforementioned tests in detecting OPMD or OSCC during a screening procedure. Diagnosis of OPMD or OSCC was provided by specialist clinicians or pathologists, or alternatively through follow-up. DATA COLLECTION AND ANALYSIS Two review authors independently screened titles and abstracts for relevance. Eligibility, data extraction, and quality assessment were carried out by at least two authors independently and in duplicate. Studies were assessed for methodological quality using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2). We reported the sensitivity and specificity of the included studies. We provided judgement of the certainty of the evidence using a GRADE assessment. MAIN RESULTS We included 18 studies, recruiting 72,202 participants, published between 1986 and 2019. These studies evaluated the diagnostic test accuracy of conventional oral examination (10 studies, none new to this update), mouth self-examination (four studies, two new to this update), and remote screening (three studies, all new to this update). One randomised controlled trial of test accuracy directly evaluated conventional oral examination plus vital rinsing versus conventional oral examination alone. There were no eligible studies evaluating light-based detection or blood or salivary sample analysis (which tests for the presence of biomarkers for OPMD and OSCC). Only one study of conventional oral examination was judged as at overall low risk of bias and overall low concern regarding applicability. Given the clinical heterogeneity of the included studies in terms of the participants recruited, setting, prevalence of the target condition, the application of the index test and reference standard, and the flow and timing of the process, the data could not be pooled within the broader categories of index test. For conventional oral examination (10 studies, 25,568 participants), prevalence in the test accuracy sample ranged from 1% to 51%. For the seven studies with prevalence of 10% or lower, a prevalence more comparable to the general population, the sensitivity estimates were variable, and ranged from 0.50 (95% confidence interval (CI) 0.07 to 0.93) to 0.99 (95% CI 0.97 to 1.00); the specificity estimates were more consistent and ranged from 0.94 (95% CI 0.88 to 0.97) to 0.99 (95% CI 0.98 to 1.00). We judged the overall certainty of the evidence to be low, and downgraded for inconsistency and indirectness. Evidence for mouth self-examination and remote screening was more limited. We judged the overall certainty of the evidence for these index tests to be very low, and downgraded for imprecision, inconsistency, and indirectness. We judged the evidence for vital rinsing (toluidine blue) as an adjunct to conventional oral examination compared to conventional oral examination to be moderate, and downgraded for indirectness as the trial was undertaken in a high-risk population. AUTHORS' CONCLUSIONS There is a lack of high-certainty evidence to support the use of screening programmes for oral cavity cancer and OPMD in the general population. Frontline screeners such as general dentists, dental hygienists, other allied professionals, and community healthcare workers should remain vigilant for signs of OPMD and OSCC.
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Affiliation(s)
- Tanya Walsh
- Division of Dentistry, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | | | - Mark W Lingen
- Pritzker School of Medicine, Division of Biological Sciences, Department of Pathology, University of Chicago, Chicago, Illinois, USA
| | - Alexander R Kerr
- Department of Oral and Maxillofacial Pathology, Radiology and Medicine, New York University College of Dentistry, New York, USA
| | - Graham R Ogden
- Division of Oral and Maxillofacial Clinical Sciences, School of Dentistry, University of Dundee, Dundee, UK
| | - Anne-Marie Glenny
- Division of Dentistry, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Richard Macey
- Division of Dentistry, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
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Adeoye J, Koohi-Moghadam M, Lo AWI, Tsang RKY, Chow VLY, Zheng LW, Choi SW, Thomson P, Su YX. Deep Learning Predicts the Malignant-Transformation-Free Survival of Oral Potentially Malignant Disorders. Cancers (Basel) 2021; 13:cancers13236054. [PMID: 34885164 PMCID: PMC8657223 DOI: 10.3390/cancers13236054] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 11/26/2021] [Accepted: 11/26/2021] [Indexed: 12/12/2022] Open
Abstract
Simple Summary Mouth cancer is the most common malignancy in the head-and-neck region. Usually, these tumors develop from white lesions in the mouth that appear long before cancer diagnosis. However, platforms that can estimate the time-factored risk of cancer occurring from these diseases and guide treatment and monitoring approaches are elusive. To this end, our study presents time-to-event models that are based on machine learning for prediction of the risk of malignancy from oral white lesions following pathological diagnosis as a function of time. These models displayed very satisfactory discrimination and calibration after multiple tests. To facilitate their preliminary use in clinical practice and further validation, we created a website supporting the use of these models to aid decision making. Abstract Machine-intelligence platforms for the prediction of the probability of malignant transformation of oral potentially malignant disorders are required as adjunctive decision-making platforms in contemporary clinical practice. This study utilized time-to-event learning models to predict malignant transformation in oral leukoplakia and oral lichenoid lesions. A total of 1098 patients with oral white lesions from two institutions were included in this study. In all, 26 features available from electronic health records were used to train four learning algorithms—Cox-Time, DeepHit, DeepSurv, random survival forest (RSF)—and one standard statistical method—Cox proportional hazards model. Discriminatory performance, calibration of survival estimates, and model stability were assessed using a concordance index (c-index), integrated Brier score (IBS), and standard deviation of the averaged c-index and IBS following training cross-validation. This study found that DeepSurv (c-index: 0.95, IBS: 0.04) and RSF (c-index: 0.91, IBS: 0.03) were the two outperforming models based on discrimination and calibration following internal validation. However, DeepSurv was more stable than RSF upon cross-validation. External validation confirmed the utility of DeepSurv for discrimination (c-index—0.82 vs. 0.73) and RSF for individual survival estimates (0.18 vs. 0.03). We deployed the DeepSurv model to encourage incipient application in clinical practice. Overall, time-to-event models are successful in predicting the malignant transformation of oral leukoplakia and oral lichenoid lesions.
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Affiliation(s)
- John Adeoye
- Division of Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong 999077, China; (J.A.); (L.-W.Z.); (S.-W.C.)
| | - Mohamad Koohi-Moghadam
- Division of Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Hong Kong 999077, China;
| | | | - Raymond King-Yin Tsang
- Division of Otorhinolaryngology, Department of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong 999077, China;
| | - Velda Ling Yu Chow
- Division of Head and Neck Surgery, Department of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong 999077, China;
| | - Li-Wu Zheng
- Division of Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong 999077, China; (J.A.); (L.-W.Z.); (S.-W.C.)
| | - Siu-Wai Choi
- Division of Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong 999077, China; (J.A.); (L.-W.Z.); (S.-W.C.)
| | - Peter Thomson
- College of Medicine and Dentistry, James Cook University, Cairns, QLD 4870, Australia
- Correspondence: (P.T.); (Y.-X.S.)
| | - Yu-Xiong Su
- Division of Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong 999077, China; (J.A.); (L.-W.Z.); (S.-W.C.)
- Correspondence: (P.T.); (Y.-X.S.)
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Sathasivam HP, Kist R, Sloan P, Thomson P, Nugent M, Alexander J, Haider S, Robinson M. Predicting the clinical outcome of oral potentially malignant disorders using transcriptomic-based molecular pathology. Br J Cancer 2021; 125:413-421. [PMID: 33972745 PMCID: PMC8329212 DOI: 10.1038/s41416-021-01411-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 04/06/2021] [Accepted: 04/16/2021] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND This 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. METHODS Patients 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. RESULTS A 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]. CONCLUSIONS This 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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Affiliation(s)
- Hans Prakash Sathasivam
- grid.1006.70000 0001 0462 7212School of Dental Sciences, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK ,Cancer Research Centre, Institute for Medical Research, National Institutes of Health, Ministry of Health Malaysia, Setia Alam, Malaysia
| | - Ralf Kist
- grid.1006.70000 0001 0462 7212School of Dental Sciences, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK ,grid.1006.70000 0001 0462 7212Newcastle University Biosciences Institute, Newcastle University Centre for Cancer, Newcastle upon Tyne, UK
| | - Philip Sloan
- grid.1006.70000 0001 0462 7212School of Dental Sciences, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK ,grid.420004.20000 0004 0444 2244Department of Cellular Pathology, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Peter Thomson
- grid.194645.b0000000121742757Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong, Hong Kong SAR
| | - Michael Nugent
- grid.416726.00000 0004 0399 9059Oral and Maxillofacial Surgery, Sunderland Royal Hospital, Sunderland, UK
| | - John Alexander
- grid.18886.3f0000 0001 1271 4623The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Syed Haider
- grid.18886.3f0000 0001 1271 4623The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Max Robinson
- grid.1006.70000 0001 0462 7212School of Dental Sciences, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK ,grid.420004.20000 0004 0444 2244Department of Cellular Pathology, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
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Walsh T, Macey R, Kerr AR, Lingen MW, Ogden GR, Warnakulasuriya S. Diagnostic tests for oral cancer and potentially malignant disorders in patients presenting with clinically evident lesions. Cochrane Database Syst Rev 2021; 7:CD010276. [PMID: 34282854 PMCID: PMC8407012 DOI: 10.1002/14651858.cd010276.pub3] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND Squamous cell carcinoma is the most common form of malignancy of the oral cavity, and is often proceeded by oral potentially malignant disorders (OPMD). Early detection of oral cavity squamous cell carcinoma (oral cancer) can improve survival rates. The current diagnostic standard of surgical biopsy with histology is painful for patients and involves a delay in order to process the tissue and render a histological diagnosis; other diagnostic tests are available that are less invasive and some are able to provide immediate results. This is an update of a Cochrane Review first published in 2015. OBJECTIVES Primary objective: to estimate the diagnostic accuracy of index tests for the detection of oral cancer and OPMD, in people presenting with clinically evident suspicious and innocuous lesions. SECONDARY OBJECTIVE to estimate the relative accuracy of the different index tests. SEARCH METHODS Cochrane Oral Health's Information Specialist searched the following databases: MEDLINE Ovid (1946 to 20 October 2020), and Embase Ovid (1980 to 20 October 2020). The US National Institutes of Health Ongoing Trials Register (ClinicalTrials.gov) and the World Health Organization International Clinical Trials Registry Platform were also searched for ongoing trials to 20 October 2020. No restrictions were placed on the language or date of publication when searching the electronic databases. We conducted citation searches, and screened reference lists of included studies for additional references. SELECTION CRITERIA We selected studies that reported the diagnostic test accuracy of the following index tests when used as an adjunct to conventional oral examination in detecting OPMD or oral cavity squamous cell carcinoma: vital staining (a dye to stain oral mucosa tissues), oral cytology, light-based detection and oral spectroscopy, blood or saliva analysis (which test for the presence of biomarkers in blood or saliva). DATA COLLECTION AND ANALYSIS Two review authors independently screened titles and abstracts for relevance. Eligibility, data extraction and quality assessment were carried out by at least two authors, independently and in duplicate. Studies were assessed for methodological quality using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2). Meta-analysis was used to combine the results of studies for each index test using the bivariate approach to estimate the expected values of sensitivity and specificity. MAIN RESULTS This update included 63 studies (79 datasets) published between 1980 and 2020 evaluating 7942 lesions for the quantitative meta-analysis. These studies evaluated the diagnostic accuracy of conventional oral examination with: vital staining (22 datasets), oral cytology (24 datasets), light-based detection or oral spectroscopy (24 datasets). Nine datasets assessed two combined index tests. There were no eligible diagnostic accuracy studies evaluating blood or salivary sample analysis. Two studies were classed as being at low risk of bias across all domains, and 33 studies were at low concern for applicability across the three domains, where patient selection, the index test, and the reference standard used were generalisable across the population attending secondary care. The summary estimates obtained from the meta-analysis were: - vital staining: sensitivity 0.86 (95% confidence interval (CI) 0.79 to 0.90) specificity 0.68 (95% CI 0.58 to 0.77), 20 studies, sensitivity low-certainty evidence, specificity very low-certainty evidence; - oral cytology: sensitivity 0.90 (95% CI 0.82 to 0.94) specificity 0.94 (95% CI 0.88 to 0.97), 20 studies, sensitivity moderate-certainty evidence, specificity moderate-certainty evidence; - light-based: sensitivity 0.87 (95% CI 0.78 to 0.93) specificity 0.50 (95% CI 0.32 to 0.68), 23 studies, sensitivity low-certainty evidence, specificity very low-certainty evidence; and - combined tests: sensitivity 0.78 (95% CI 0.45 to 0.94) specificity 0.71 (95% CI 0.53 to 0.84), 9 studies, sensitivity very low-certainty evidence, specificity very low-certainty evidence. AUTHORS' CONCLUSIONS At present none of the adjunctive tests can be recommended as a replacement for the currently used standard of a surgical biopsy and histological assessment. Given the relatively high values of the summary estimates of sensitivity and specificity for oral cytology, this would appear to offer the most potential. Combined adjunctive tests involving cytology warrant further investigation. Potentially eligible studies of blood and salivary biomarkers were excluded from the review as they were of a case-control design and therefore ineligible. In the absence of substantial improvement in the tests evaluated in this updated review, further research into biomarkers may be warranted.
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Affiliation(s)
- Tanya Walsh
- Division of Dentistry, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Richard Macey
- Division of Dentistry, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Alexander R Kerr
- Department of Oral and Maxillofacial Pathology, Radiology and Medicine, New York University College of Dentistry, New York, USA
| | - Mark W Lingen
- Pritzker School of Medicine, Division of Biological Sciences, Department of Pathology, University of Chicago, Chicago, Illinois, USA
| | - Graham R Ogden
- Division of Oral and Maxillofacial Clinical Sciences, School of Dentistry, University of Dundee, Dundee, UK
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Sathasivam HP, Nayar D, Sloan P, Thomson PJ, Odell EW, Robinson M. Dysplasia and DNA ploidy to prognosticate clinical outcome in oral potentially malignant disorders. J Oral Pathol Med 2021; 50:200-209. [PMID: 33151583 DOI: 10.1111/jop.13121] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Revised: 08/02/2020] [Accepted: 09/12/2020] [Indexed: 01/01/2023]
Abstract
BACKGROUND Oral potentially malignant disorders are a clinical conundrum as there are no reliable methods to predict their behaviour. We combine conventional oral epithelial dysplasia grading with DNA ploidy analysis to examine the validity of this approach to risk assessment in a cohort of patients with known clinical outcomes. METHODS Sections from diagnostic biopsies were assessed for oral epithelial dysplasia using the WHO grading system, and DNA ploidy analysis was performed using established methods. Patients reviewed for a minimum of 5 years who did not develop oral squamous cell carcinoma were classified as "non-transforming" cases. Patients that developed oral squamous cell carcinoma ≥ 6 months after the initial diagnostic biopsy were classified as having "malignant transformation." RESULTS Ninety cases were included in the study. Seventy cases yielded informative DNA ploidy results. Of these 70 cases, 31 progressed to cancer. Oral epithelial dysplasia grading and DNA ploidy status were both significantly associated with clinical outcome (P < 0.05). Severe dysplasia had a hazard ratio of 3.50 (CI: 1.46, 8.45; P = 0.005) compared to cases with mild dysplasia. Aneuploidy had a hazard ratio of 2.09 (CI: 1.01, 4.32; P = 0.046) compared to cases with a diploid/tetraploid status. Receiver operating characteristic analysis gave an area under the curve of 0.617 for DNA ploidy status and 0.688 when DNA ploidy status was combined with dysplasia grading. CONCLUSION Our findings suggest that combining dysplasia grading with DNA ploidy status has clinical utility which could be used to develop novel management algorithms.
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Affiliation(s)
- Hans Prakash Sathasivam
- School of Dental Sciences, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.,Cancer Research Centre, Institute for Medical Research, National Institute of Health, Setia Alam, Malaysia
| | - Deepa Nayar
- King's College London, Guy's Hospital, London, UK
| | - Philip Sloan
- School of Dental Sciences, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.,Department of Cellular Pathology, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Peter J Thomson
- Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, Hong Kong
| | | | - Max Robinson
- School of Dental Sciences, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.,Department of Cellular Pathology, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
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Warnakulasuriya S, Kujan O, Aguirre-Urizar JM, Bagan JV, González-Moles MÁ, Kerr AR, Lodi G, Mello FW, Monteiro L, Ogden GR, Sloan P, Johnson NW. Oral potentially malignant disorders: A consensus report from an international seminar on nomenclature and classification, convened by the WHO Collaborating Centre for Oral Cancer. Oral Dis 2020; 27:1862-1880. [PMID: 33128420 DOI: 10.1111/odi.13704] [Citation(s) in RCA: 397] [Impact Index Per Article: 99.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2020] [Revised: 10/21/2020] [Accepted: 10/25/2020] [Indexed: 12/12/2022]
Abstract
Oral potentially malignant disorders (OPMDs) are associated with an increased risk of occurrence of cancers of the lip or oral cavity. This paper presents an updated report on the nomenclature and the classification of OPMDs, based predominantly on their clinical features, following discussions by an expert group at a workshop held by the World Health Organization (WHO) Collaborating Centre for Oral Cancer in the UK. The first workshop held in London in 2005 considered a wide spectrum of disorders under the term "potentially malignant disorders of the oral mucosa" (PMD) (now referred to as oral potentially malignant disorders: OPMD) including leukoplakia, erythroplakia, proliferative verrucous leukoplakia, oral lichen planus, oral submucous fibrosis, palatal lesions in reverse smokers, lupus erythematosus, epidermolysis bullosa, and dyskeratosis congenita. Any new evidence published in the intervening period was considered to make essential changes to the 2007 classification. In the current update, most entities were retained with minor changes to their definition. There is sufficient evidence for an increased risk of oral cancer among patients diagnosed with "oral lichenoid lesions" and among those diagnosed with oral manifestations of 'chronic graft-versus-host disease'. These have now been added to the list of OPMDs. There is, to date, insufficient evidence concerning the malignant potential of chronic hyperplastic candidosis and of oral exophytic verrucous hyperplasia to consider these conditions as OPMDs. Furthermore, due to lack of clear evidence of an OPMD in epidermolysis bullosa this was moved to the category with limited evidence. We recommend the establishment of a global research consortium to further study the natural history of OPMDs based on the classification and nomenclature proposed here. This will require multi-center longitudinal studies with uniform diagnostic criteria to improve the identification and cancer risk stratification of patients with OPMDs, link them to evidence-based interventions, with a goal to facilitate the prevention and management of lip and oral cavity cancer.
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Affiliation(s)
- Saman Warnakulasuriya
- The WHO Collaborating Centre for Oral Cancer and Faculty of Dentistry, Oral and Craniofacial Sciences, King's College London, London, UK
| | - Omar Kujan
- UWA Dental School, The University of Western Australia, Perth, WA, Australia
| | - José M Aguirre-Urizar
- Oral and Maxillofacial Medicine & Pathology Unit, Department of Stomatology II, Faculty of Medicine and Nursery, University of the Basque Country/EHU, Bilbao, Spain
| | - José V Bagan
- Oral Medicine, Valencia University, Valencia, Spain.,Department of Oral and Maxillofacial Surgery, University General Hospital, Valencia, Spain
| | - Miguel Ángel González-Moles
- School of Dentistry, University of Granada, Granada, Spain.,Biohealth Research Institute (IBS), Granada, Spain
| | - Alexander R Kerr
- Department of Oral and Maxillofacial Pathology, Radiology, and Medicine, New York University College of Dentistry, New York, NY, USA
| | - Giovanni Lodi
- Dipartimento di Scienze Biomediche, Chirurgiche e Odontoiatriche, Università degli Studi di Milano, Milano, Italy
| | | | - Luis Monteiro
- CESPU, Instituto de Investigação e Formação Avançada em Ciências e Tecnologias da Saúde (IINFACTS), IUCS - Instituto Universitário de Ciências da Saúde, Gandra, Portugal
| | - Graham R Ogden
- Department of Oral Surgery, Dundee Dental School, Dundee, Scotland, UK
| | - Philip Sloan
- School of Dental Sciences, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Newell W Johnson
- Menzies Health Institute Queensland and School of Dentistry and Oral Health, Griffith University, Gold Coast, Qld, Australia.,Faculty of Dentistry, Oral and Craniofacial Sciences, King's College London, London, UK
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10
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Li CC, Almazrooa S, Carvo I, Salcines A, Woo SB. Architectural Alterations in Oral Epithelial Dysplasia are Similar in Unifocal and Proliferative Leukoplakia. Head Neck Pathol 2020; 15:443-460. [PMID: 32939744 PMCID: PMC8134567 DOI: 10.1007/s12105-020-01216-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2020] [Accepted: 08/21/2020] [Indexed: 12/15/2022]
Abstract
The current WHO histopathologic criteria for oral epithelial dysplasia (ED) are based on architectural and cytologic alterations, and do not address other histopathologic features of ED. Here we propose new diagnostic criteria including architectural, organizational, and cytologic features for oral ED. Cases of unifocal leukoplakia (UL) and proliferative leukoplakia (PL) with clinical photographs and follow-up information were identified. Only cases that showed minimal cytologic atypia or mild ED were used to demonstrate critical architectural changes as defined in this study. Eight biopsies from eight UL patients and 34 biopsies from four PL patients were included. The biopsies showed (a) corrugated, verrucous or papillary architecture, (b) hyperkeratosis with epithelial atrophy, (c) bulky squamous epithelial proliferation, and (d) demarcated hyperkeratosis and "skip" segments. The architectural alterations defined here are as important as the currently used criteria for the diagnosis of ED. Clinicopathologic correlation when diagnosing oral ED is also of the utmost importance in accurate diagnosis.
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Affiliation(s)
- Chia-Cheng Li
- Department of Oral Medicine, Infection, and Immunity, Harvard School of Dental Medicine, Boston, MA USA
| | - Soulafa Almazrooa
- Department of Oral Diagnostic Sciences, Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Ingrid Carvo
- Department of Oral Medicine, Infection, and Immunity, Harvard School of Dental Medicine, Boston, MA USA
| | - Alfonso Salcines
- Department of Oral Medicine, Infection, and Immunity, Harvard School of Dental Medicine, Boston, MA USA
| | - Sook-Bin Woo
- Department of Oral Medicine, Infection, and Immunity, Harvard School of Dental Medicine, Boston, MA USA ,Division of Oral Medicine and Dentistry, Brigham and Women’s Hospital, Boston, MA USA ,Center for Oral Pathology, StrataDx Inc, Lexington, MA USA
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11
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Thomson P. The "Peter Principle" revisited-Reflections on science, surgery and research. J Oral Pathol Med 2020; 49:596-600. [PMID: 32162731 DOI: 10.1111/jop.13011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Revisiting the eponymous "Peter Principle," in this article the author reflects upon a professional lifetime as a clinician, surgeon and researcher, and summarises his efforts to improve contemporary understanding of oral cancer development, refine diagnostic procedure and facilitate efficacious, early treatment intervention to halt the process of carcinogenesis. The author reviews the principles underpinning effective translational research. Utilising his own work in oral epithelial cell science, interventional surgery and potentially malignant disorder patient management and surveillance, a number of significant advances in our knowledge base and their specific clinical application and potential impact are discussed. Research remains an active and ongoing process, however, and the author believes it essential for future relevance that hypotheses should always be initiated, led and mentored by experienced clinical practitioners.
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Affiliation(s)
- Peter Thomson
- Oral & Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong, China
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12
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Wang X, Yang J, Wei C, Zhou G, Wu L, Gao Q, He X, Shi J, Mei Y, Liu Y, Shi X, Wu F, Luo J, Guo Y, Zhou Q, Yin J, Hu T, Lin M, Liang Z, Zhou H. A personalized computational model predicts cancer risk level of oral potentially malignant disorders and its web application for promotion of non-invasive screening. J Oral Pathol Med 2020; 49:417-426. [PMID: 31823403 DOI: 10.1111/jop.12983] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2019] [Revised: 11/16/2019] [Accepted: 11/22/2019] [Indexed: 02/05/2023]
Abstract
BACKGROUND Despite their high accuracy to recognize oral potentially malignant disorders (OPMDs) with cancer risk, non-invasive oral assays are poor in discerning whether the risk is high or low. However, it is critical to identify the risk levels, since high-risk patients need active intervention, while low-risk ones simply need to be follow-up. This study aimed at developing a personalized computational model to predict cancer risk level of OPMDs and explore its potential web application in OPMDs screening. METHODS Each enrolled patient was subjected to the following procedure: personal information collection, non-invasive oral examination, oral tissue biopsy and histopathological analysis, treatment, and follow-up. Patients were randomly divided into a training set (N = 159) and a test set (N = 107). Random forest was used to establish classification models. A baseline model (model-B) and a personalized model (model-P) were created. The former used the non-invasive scores only, while the latter was incremented with appropriate personal features. RESULTS We compared the respective performance of cancer risk level prediction by model-B, model-P, and clinical experts. Our data suggested that all three have a similar level of specificity around 90%. In contrast, the sensitivity of model-P is beyond 80% and superior to the other two. The improvement of sensitivity by model-P reduced the misclassification of high-risk patients as low-risk ones. We deployed model-P in web.opmd-risk.com, which can be freely and conveniently accessed. CONCLUSION We have proposed a novel machine-learning model for precise and cost-effective OPMDs screening, which integrates clinical examinations, machine learning, and information technology.
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Affiliation(s)
- Xiangjian Wang
- State Key Laboratory of Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China.,Department of Oral Medicine, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Jin Yang
- State Key Laboratory of Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Changlei Wei
- State Key Laboratory of Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China.,Department of Oral Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Gang Zhou
- Department of Oral Medicine, School and Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Lanyan Wu
- Department of Oral Pathology, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Qinghong Gao
- Department of Oral and Maxillofacial surgery, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Xin He
- State Key Laboratory of Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Jiahong Shi
- State Key Laboratory of Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Yingying Mei
- State Key Laboratory of Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Ying Liu
- Department of Oral Medicine, North Sichuan Medical College, Nanchong, China
| | - Xueke Shi
- State Key Laboratory of Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Fanglong Wu
- State Key Laboratory of Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Jingjing Luo
- State Key Laboratory of Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Yiqing Guo
- State Key Laboratory of Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Qizhi Zhou
- School of Acupuncture-Moxibustion and Tuina, Chengdu University of TCM, Chengdu, China
| | - Jiaxin Yin
- Department of Preventive Dentistry, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Tao Hu
- Department of Preventive Dentistry, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Mei Lin
- State Key Laboratory of Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Zhi Liang
- Hefei National Laboratory for Physical Sciences at Microscale and School of Life Science, University of Science and Technology of China, Hefei, China
| | - Hongmei Zhou
- State Key Laboratory of Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China
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13
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Lou J, Liu L, Zhang W, Zhou Z, Fan Y. Differential expression of ghrelin and GHSR via the mTOR pathway during the dynamic carcinogenic process involving oral, potentially malignant disorders. Biosci Rep 2019; 39:BSR20192102. [PMID: 31750884 PMCID: PMC6923334 DOI: 10.1042/bsr20192102] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2019] [Revised: 10/12/2019] [Accepted: 11/18/2019] [Indexed: 02/08/2023] Open
Abstract
The purpose was to explore the sequence changes in ghrelin and GHSR in the mTOR signaling pathway during carcinogenesis involving oral, potentially malignant disorders (OPMD). The samples were confirmed through in vivo pathologic tissue screening and diagnosis. The immunohistochemical method was used to detect the expression of the ghrelin/growth hormone secretagogue receptor (GHSR) protein. The expression of ghrelin, GHSR 1α, GHSR 1β, and mammalian target of rapamycin (mTOR) RNA were detected by real-time PCR. The expression of ghrelin, GHSR, mTOR, and phosphorylated mTOR (phosphor-mTOR) protein were detected by Western blot. The expression of ghrelin/GHSR increased gradually in the dynamic process of OPMD carcinogenesis. There was a correlation between the increase in ghrelin, GHSR, mTOR, and phospho-mTOR. The in vivo expression of ghrelin/GHSR protein was the most apparent pathologic change from normal-to-mild, moderate, and severe dysplasia, and finally to the dynamic process from normal-to-mild-to-moderate dysplasia. The in vitro cell experiments based on QPCR results also proved that GHSR 1a functional receptor of ghrelin had a peak expression in LEUK-1 cells. In conclusioin, the close relationship between ghrelin and OPMD carcinogenesis can be used as a new biological target to assess the carcinogenesis of OPMD.
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Affiliation(s)
- Jianing Lou
- Department of Stomatology, Shanghai General Hospital of Nanjing Medical University, Shanghai 201620, China
- Jiangsu Key Laboratory of Oral Diseases, Nanjing Medical University, Nanjing, China
- Department of Oral Medicine, Affiliated Hospital of Stomatology, Nanjing Medical University, Nanjing, China
| | - Lin Liu
- Jiangsu Key Laboratory of Oral Diseases, Nanjing Medical University, Nanjing, China
- Department of Oral Medicine, Affiliated Hospital of Stomatology, Nanjing Medical University, Nanjing, China
| | - Weizhen Zhang
- Department of Surgery, Medical School, University of Michigan, Ann Arbor, MI 48109, U.S.A
| | - Zengtong Zhou
- Department of Oral Medicine, Shanghai Key Laboratory of Stomatology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, P.R. China
| | - Yuan Fan
- Jiangsu Key Laboratory of Oral Diseases, Nanjing Medical University, Nanjing, China
- Department of Oral Medicine, Affiliated Hospital of Stomatology, Nanjing Medical University, Nanjing, China
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14
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Choi S, Thomson P. Multiple oral cancer development—Clinico‐pathological features in the Hong Kong population. J Oral Pathol Med 2019; 49:145-149. [DOI: 10.1111/jop.12962] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Affiliation(s)
- Siu‐Wai Choi
- Oral & Maxillofacial Surgery Faculty of Dentistry The University of Hong Kong Hong Kong SAR China
| | - Peter Thomson
- Oral & Maxillofacial Surgery Faculty of Dentistry The University of Hong Kong Hong Kong SAR China
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15
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Goodson ML, Smith DR, Thomson PJ. The"Newcastle Nomogram"-Statistical modelling predicts malignant transformation in potentially malignant disorders. J Oral Pathol Med 2019; 48:662-668. [PMID: 31125457 DOI: 10.1111/jop.12881] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
BACKGROUND Nomograms are graphical calculating devices used to predict risk of malignant transformation (MT) or response to treatment during cancer management. To date, a nomogram has not been used to predict clinical outcome during oral potentially malignant disorder (PMD) treatment. The aim of this study was to create a nomogram for use by clinicians to predict the probability of MT, thereby facilitating accurate assessment of risk and objective decision-making during individual patient management. METHODS Clinico-pathological data from a previously treated cohort of 590 newly presenting PMD patients were reviewed and clinical outcomes categorized as disease free, persistent PMD or MT. Multiple logistic regression was used to predict the probability of MT in the cohort using age, gender, lesion type, site and incision biopsy histopathological diagnoses. Internal validation and calibration of the model was performed using the bootstrap method (n = 1000), and bias-corrected indices of model performance were computed. RESULTS Potentially malignant disorders were predominantly leukoplakias (79%), presenting most frequently at floor of mouth and lateral tongue sites (51%); 99 patients (17%) developed oral squamous cell carcinoma during the study period. The nomogram performed well when MT predictions were compared with patient outcome data, demonstrating good bias-corrected discrimination and calibration (Dxy = 0.58; C = 0.790), with a sensitivity of 87% and specificity 63%, and a positive predictive value of 32% and negative predictive value 96%. CONCLUSION The "Newcastle Nomogram" has been developed to predict the probability of MT in PMD, based on an internally validated statistical model. Based upon readily available and patient-specific clinico-pathological data, it provides clinicians with a pragmatic diagrammatic aid for clinical decision-making during diagnosis and management of PMD.
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Affiliation(s)
| | | | - Peter J Thomson
- Oral & Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, China
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16
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Choi S, Thomson P. Increasing incidence of oral cancer in Hong Kong—Who, where…and why? J Oral Pathol Med 2019; 48:483-490. [DOI: 10.1111/jop.12868] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Siu‐Wai Choi
- Oral & Maxillofacial Surgery, Faculty of Dentistry The University of Hong Kong Hong Kong SAR China
| | - Peter Thomson
- Oral & Maxillofacial Surgery, Faculty of Dentistry The University of Hong Kong Hong Kong SAR China
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17
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Thomson PJ. Perspectives on oral squamous cell carcinoma prevention-proliferation, position, progression and prediction. J Oral Pathol Med 2018; 47:803-807. [PMID: 29752860 DOI: 10.1111/jop.12733] [Citation(s) in RCA: 100] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/03/2018] [Indexed: 11/27/2022]
Abstract
Squamous cell carcinoma arising from oral mucosal epithelium remains a lethal and deforming disease due to tumour invasion, oro-facial destruction, cervical lymph node metastasis and ultimate blood-borne dissemination. Worldwide, 300 000 new cases are seen each year, with a recent and significant rise in incidence affecting particularly the young. To rationalize perspectives on preventive strategies in oral cancer management, this study addresses a number of fundamental questions regarding carcinogenesis: proliferation-what epithelial cell changes precede tumour development? Position-why are certain oral sites so predisposed to cancer? Progression-why do some precursor lesions progress to invasive carcinoma and others do not? Prediction-how can we predict individual patient and/or lesion behaviour to prevent disease progression? By improving our understanding of oral carcinogenesis, can we thereby facilitate more effective primary, secondary and tertiary preventive strategies and ultimately reduce the global burden of oral squamous cell carcinoma (OSCC)?
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Affiliation(s)
- P J Thomson
- Oral & Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, China
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