Evolving Principles for Oral Squamous Cell Carcinoma Screening Programs
Simple Summary
Abstract
1. Introduction
2. Methods
3. Literature Review
3.1. From Wilson & Jungner to Contemporary Screening Principles, Implications for OSCC
3.2. The U.S. Preventive Services Task Force (2014): Limited Scope
3.3. IARC’s Global Evidence
3.4. Why OSCC Requires a Targeted, Organized Approach
3.5. Organized Screening Essential and Desirable Criteria Applied to OSCC
3.6. The E.A.S.Y. Framework
3.6.1. Education
3.6.2. Assessment
3.6.3. Screening
3.6.4. Yield
3.7. Artificial Intelligence (AI) Integration in Screening Programs
4. Proposal of a Concise Framework for OSCC Organized Screening Program in LMICs
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Correction Statement
References
- IARC Handbooks of Cancer Prevention, Volume 19: Oral Cancer Prevention; International Agency for Research on Cancer: Lyon, France, 2023; Available online: https://publications.iarc.who.int/617 (accessed on 19 November 2025).
- Kronenfeld, J.P.; Graves, K.D.; Penedo, F.J.; Yanez, B. Overcoming Disparities in Cancer: A Need for Meaningful Reform for Hispanic and Latino Cancer Survivors. Oncologist 2021, 26, 443–452. [Google Scholar] [CrossRef] [Scilit]
- Liu, J.C.; Egleston, B.L.; Blackman, E.; Ragin, C. Racial survival disparities in head and neck cancer clinical trials. J. Natl. Cancer Inst. 2023, 115, 288–294. [Google Scholar] [CrossRef] [Scilit]
- Baethge, C.; Goldbeck-Wood, S.; Mertens, S. SANRA—A scale for the quality assessment of narrative review articles. Res. Integr. Peer Rev. 2019, 4, 5. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Wilson, J.M.G.; Jungner, G. Principles and Practice of Screening for Disease; World Health Organization: Geneva, Switzerland, 1968. [Google Scholar]
- Smith, R.A. Can we improve on Wilson and Jungner’s principles of screening for disease? Can. Med. Assoc. J. 2018, 190, E414–E415. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Dobrow, M.J.; Hagens, V.; Chafe, R.; Sullivan, T.; Rabeneck, L. Consolidated principles for screening based on a systematic review and consensus process. Can. Med. Assoc. J. 2018, 190, E422–E429. [Google Scholar] [CrossRef] [Scilit]
- Louredo, B.V.R.; de Lima-Souza, R.A.; Pérez-de-Oliveira, M.E.; Warnakulasuriya, S.; Kerr, A.R.; Kowalski, L.P.; Hunter, K.D.; Prado-Ribeiro, A.C.; Vargas, P.A.; Santos-Silva, A.R. Reported physical examination methods for screening of oral cancer and oral potentially malignant disorders: A systematic review. Oral Surg. Oral Med. Oral Pathol. Oral Radiol. 2024, 137, 136–152. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Moyer, V.A.; U.S. Preventive Services Task Force. Screening for oral cancer: U.S. Preventive Services Task Force recommendation statement. Ann. Intern. Med. 2014, 160, 55–60. [Google Scholar] [CrossRef] [Scilit]
- Bouvard, V.; Nethan, S.T.; Singh, D.; Warnakulasuriya, S.; Mehrotra, R.; Chaturvedi, A.K.; Chen, T.H.; Ayo-Yusuf, O.A.; Gupta, P.C.; Kerr, A.R.; et al. IARC Perspective on Oral Cancer Prevention. N. Engl. J. Med. 2022, 387, 1999–2005. [Google Scholar] [CrossRef] [Scilit]
- Whitehead, R.A.; Patel, E.A.; Liu, J.C.; Bhayani, M.K. Racial Disparities in Head and Neck Cancer: It’s Not Just About Access. Otolaryngol. Head Neck Surg. 2024, 170, 1032–1044. [Google Scholar] [CrossRef] [Scilit]
- Liddell, P.H.; Lee, J.H.; Mechatto, A.; Myatt, G.D.; Lewis, J.W.; Tayara, A.; Warren, J.D.; Kane, A.C. Health Inequities in Head and Neck Cancer: Disparities Across the Continuum of Care. Head Neck 2025, 47, 2867–2880. [Google Scholar] [CrossRef] [Scilit]
- Thomas, G.R. Racial disparity in head and neck cancer. Cancer 2021, 127, 2612–2613. [Google Scholar] [CrossRef] [Scilit]
- Mandrik, O.; Roitberg, F.; Lauby-Secretan, B.; Parak, U.; Ramadas, K.; Varenne, B.; Sankaranarayanan, R.; Carvalho, A.L. Perspective on oral cancer screening: Time for implementation research and beyond. J. Cancer Policy 2023, 35, 100381. [Google Scholar] [CrossRef] [Scilit]
- Warnakulasuriya, S.; Kerr, A.R. Oral Cancer Screening: Past, Present, and Future. J. Dent. Res. 2021, 100, 1313–1320. [Google Scholar] [CrossRef] [Scilit]
- Zhang, L.; Carvalho, A.L.; Mosquera, I.; Wen, T.; Lucas, E.; Sauvaget, C.; Muwonge, R.; Arbyn, M.; Weiderpass, E.; Basu, P. An international consensus on the essential and desirable criteria for an “organized” cancer screening programme. BMC Med. 2022, 20, 101. [Google Scholar] [CrossRef] [Scilit]
- Wang, F.; Dong, X.; Li, N. A call to improve the quality of screening programs. Nat. Med. 2023, 29, 1062–1063. [Google Scholar] [CrossRef] [Scilit]
- Thoele, K.; Ferren, M.; Moffat, L.; Keen, A.; Newhouse, R. Development and use of a toolkit to facilitate implementation of an evidence-based intervention: A descriptive case study. Implement. Sci. Commun. 2020, 1, 86. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Yamada, J.; Shorkey, A.; Barwick, M.; Widger, K.; Stevens, B.J. The effectiveness of toolkits as knowledge translation strategies for integrating evidence into clinical care: A systematic review. BMJ Open 2015, 5, e006808. [Google Scholar] [CrossRef] [Scilit]
- British Dental Association. Oral Cancer Toolkit. Available online: https://www.bda.org/what-we-do/campaigns-and-advocacy/take-action/action-on-oral-cancer/ (accessed on 19 November 2025).
- Academy of General Dentistry Foundation. Oral Cancer Toolkit. Available online: https://agdfoundation.org/toolkit/ (accessed on 19 November 2025).
- Cheung, L.C.; Ramadas, K.; Muwonge, R.; Katki, H.A.; Thomas, G.; Graubard, B.I.; Basu, P.; Sankaranarayanan, R.; Somanathan, T.; Chaturvedi, A.K. Risk-Based Selection of Individuals for Oral Cancer Screening. J. Clin. Oncol. 2021, 39, 663–674. [Google Scholar] [CrossRef] [Scilit]
- Pedroso, C.M.; Normando, A.G.; Pérez-de-Oliveira, M.E.; Simonato, L.E.; Goes, M.F.; Ribeiro, A.C.; Brandão, T.B.; Lopes, M.A.; Warnakulasuriya, S.; Santos-Silva, A.R. Oral cancer screening outcomes in the Latin American region with special relevance to Brazil and Cuba: A systematic review. Med. Oral Patol. Oral Cir. Bucal 2024, 29, e370–e379. [Google Scholar] [CrossRef] [Scilit]
- Zhang, L.; Mosquera, I.; Lucas, E.; Rol, M.L.; Carvalho, A.L.; Basu, P. CanScreen5 collaborators CanScreen5, a global repository for breast, cervical and colorectal cancer screening programs. Nat. Med. 2023, 29, 1135–1145. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Vázquez, M.L.; Vargas, I.; Rubio-Valera, M.; Aznar-Lou, I.; Eguiguren, P.; Mogollón-Pérez, A.S.; Torres, A.L.; Peralta, A.; Dias, S.; Jervelund, S.S. Improving equity in access to early diagnosis of cancer in different healthcare systems of Latin America: Protocol for the EquityCancer-LA implementation-effectiveness hybrid study. BMJ Open 2022, 12, e067439. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Roadevin, C.; Hill, H. AI interventions in cancer screening: Balancing equity and cost-effectiveness. J. Med. Ethics 2025. [Google Scholar] [CrossRef] [Scilit]
- Debellotte, O.; Dookie, R.L.; Rinkoo, F.; Kar, A.; Salazar González, J.F.; Saraf, P.; Aflahe Iqbal, M.; Ghazaryan, L.; Mukunde, A.C.; Khalid, A.; et al. Artificial Intelligence and Early Detection of Breast, Lung, and Colon Cancer: A Narrative Review. Cureus 2025, 17, e79199. [Google Scholar] [CrossRef] [Scilit]
- Larsen, M.; Aglen, C.F.; Lee, C.I.; Hoff, S.R.; Lund-Hanssen, H.; Lång, K.; Nygård, J.F.; Ursin, G.; Hofvind, S. Artificial Intelligence Evaluation of 122,969 Mammography Examinations from a Population-based Screening Program. Radiology 2022, 303, 502–511. [Google Scholar] [CrossRef] [Scilit]
- Chang, Y.W.; Ryu, J.K.; An, J.K.; Choi, N.; Park, Y.M.; Ko, K.H.; Han, K. Artificial intelligence for breast cancer screening in mammography (AI-STREAM): Preliminary analysis of a prospective multicenter cohort study. Nat. Commun. 2025, 16, 2248. [Google Scholar] [CrossRef] [Scilit]
- Uwimana, A.; Gnecco, G.; Riccaboni, M. Artificial intelligence for breast cancer detection and its health technology assessment: A scoping review. Comput. Biol. Med. 2025, 184, 109391. [Google Scholar] [CrossRef] [Scilit]
- Cellina, M.; Cacioppa, L.M.; Cè, M.; Chiarpenello, V.; Costa, M.; Vincenzo, Z.; Pais, D.; Bausano, M.V.; Rossini, N.; Bruno, A.; et al. Artificial Intelligence in Lung Cancer Screening: The Future Is Now. Cancers 2023, 15, 4344. [Google Scholar] [CrossRef] [Scilit]
- Duan, C.; Sheng, J.; Ma, X. Innovative approaches in colorectal cancer screening: Advances in detection methods and the role of artificial intelligence. Ther. Adv. Gastroenterol. 2025, 18, 17562848251314829. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Figueroa, K.C.; Song, B.; Sunny, S.; Li, S.; Gurushanth, K.; Mendonca, P.; Mukhia, N.; Patrick, S.; Gurudath, S.; Raghavan, S.; et al. Interpretable deep learning approach for oral cancer classification using guided attention inference network. J. Biomed. Opt. 2022, 27, 015001. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Song, B.; Zhang, C.; Sunny, S.; Kc, D.R.; Li, S.; Gurushanth, K.; Mendonca, P.; Mukhia, N.; Patrick, S.; Gurudath, S.; et al. Interpretable and Reliable Oral Cancer Classifier with Attention Mechanism and Expert Knowledge Embedding via Attention Map. Cancers 2023, 15, 1421. [Google Scholar] [CrossRef] [Scilit]
- Saldivia-Siracusa, C.; Carlos de Souza, E.S.; Barros da Silva, A.V.; Damaceno Araújo, A.L.; Pedroso, C.M.; Aparecida da Silva, T.; Pereira Sant’Ana, M.S.; Fonseca, F.P.; Rebelo Pontes, H.A.; Quiles, M.G.; et al. Automated classification of oral potentially malignant disorders and oral squamous cell carcinoma using a convolutional neural network framework: A cross-sectional study. Lancet Reg. Health Am. 2025, 47, 101138. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Epstein, J.B.; Villines, D.; Drahos, G.; Kaufman, E.; Gorsky, M. Oral lesions in patients participating in an oral examination screening week at an urban dental school. J. Am. Dent. Assoc. 2008, 139, 1338–1344. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Poelman, M.R.; Brand, H.S.; Foppen, L.; de Visscher, J.G.A.M.; Jager, D.H.J. Evaluation of head and neck cancer education at European dental schools. Eur. J. Dent. Educ. 2022, 26, 239–247. [Google Scholar] [CrossRef] [Scilit]
- Sankaranarayanan, R.; Ramadas, K.; Thomas, G.; Muwonge, R.; Thara, S.; Mathew, B.; Rajan, B. Trivandrum Oral Cancer Screening Study Group. Effect of screening on oral cancer mortality in Kerala, India: A cluster-randomised controlled trial. Lancet 2005, 365, 1927–1933. [Google Scholar] [CrossRef] [Scilit]
- Dos Santos, E.S.; Pérez-de-Oliveira, M.E.; Normando, A.G.C.; Gueiros, L.A.M.; Rogatto, S.R.; Vargas, P.A.; Lopes, M.A.; da Silva Guerra, E.N.; Leme, A.F.P.; Santos-Silva, A.R. Systemic conditions associated with increased risk to develop oral squamous cell carcinoma: Systematic review and meta-analysis. Head Neck 2022, 44, 2925–2937. [Google Scholar] [CrossRef] [Scilit] [PubMed]
| Contemporary Principles [7,16,17] | Framework for OSCC Organized Screening |
|---|---|
| Epidemiology of the disease or condition | High incidence and mortality rates of OSCC in LMICs and socially marginalized subpopulations within high-income settings, especially in men. There is a high prevalence of high-risk habits in LMICs population and underserved subpopulations in high-income settings. The most common risk factors are tobacco use, and alcohol consumption. |
| Natural history of disease or condition | OSCC might be preceded by OPMDs, such as leukoplakia, erythroplakia, and proliferative verrucous leukoplakia. Nonetheless, a substantial proportion of OSCC cases can arise in the absence of identifiable risk factors or clinically recognized precursor lesions and increaseingly in patients without identified risk fators |
| Target population for screening | Individuals who are tobacco (smoked or smokeless) and/or alcohol consumers, immunosuppressed, and especially over 40 years old, as incidence. Individuals living in social vulnerability settings (LMIC populations and underserved subpopulations in high-income settings) and with low level of health literacy are also at risk. |
| Screening test performance characteristics | COE is an effective screening test for high-risk individuals. Then, standardized COE protocol and recall schedules tailored to age and risk (18–40 every 3 years; 41–69 annually; ≥70 individualized; annual for tobacco/alcohol users independent of age). |
| Interpretation of screening test results | Examiners must be periodically trained and calibrated to improve early detection rate. An educational toolkit providing material for primary and secondary prevention of OSCC in screening is a valuable strategy. |
| Post screening test options | Defined referral pathways for biopsy and specialist assessment are essential. Metrics for time-to-diagnosis and time-to-treatment are necessary indicators. Involving regional hubs (e.g., dental schools, teaching hospitals, and academic clinics) might reduce inequities in access and intervals from a positive-COE to diagnosis. |
| Screening program infrastructure | Primary health care settings might identify through risk-assessment questionnaires (criteria described in row ~Screening test performance characteristics~) and contact the high-risk population, advise, and promote tobacco and alcohol cessation interventions. Screening invitation should include all individuals enrolled in tobacco and alcohol cessation programs. Information systems to help identify, call-recall, and track incidence and mortality rates of OSCC. Dental schools, teaching hospitals, and academic clinics might play a key role in facilitating access to biopsy and specialist assessment, timely diagnosis, and treatment. |
| Screening program coordination and integration | The OSCC screening program must be supported by health care systems, from the first stage as a pilot program until full-scale-up to a population-based program. Integrating regional hubs helps with transparency and quality improvement. In addition, there is a need for multisectoral governance (ministries of health, academic centers, and local health authorities) and interoperability with national cancer registries, pathology networks, and fast-track referral systems. |
| Screening program acceptability and ethics | The program should include uptake statistics (invitation and screening coverage (%)), written informed consent (at first enrollment), ethical audits on equity to access (e.g., qualitative studies analyzing user experience and external audit), communication practices, and acceptability surveys (e.g., how the population understands OSCC, the purpose of screening, and cultural sensitivity). Community engagement in screening activities might improve coverage. |
| Screening program benefits and harms | Expected benefits include reduction in the detection rate of advanced stage OSCC, and mortality rates. Potential harms may include false positives-COE, false negative results. |
| Economic evaluation of screening program | Cost analysis, cost-effectiveness, cost-benefit, and budget impact analysis are essential indicators for an OSCC screening program, as they demonstrate the potential impact of the investment prior to scale-up. Funding must be addressed. |
| Screening program quality and performance management | Use of dashboards for monitoring coverage, positivity, compliance, intervals, and outcomes. Data elements selected to inform scale-up: coverage, compliance, detection, stage shift, cost, overdiagnosis, and sustainability. |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Share and Cite
Santos-Silva, A.R.; Epstein, J.B.; Kowalski, L.P.; Esteves-Pereira, T.C.; Prado-Ribeiro, A.C.; Martins, M.D.; Lopes, M.A.; Sollecito, T.P. Evolving Principles for Oral Squamous Cell Carcinoma Screening Programs. Cancers 2026, 18, 1462. https://doi.org/10.3390/cancers18091462
Santos-Silva AR, Epstein JB, Kowalski LP, Esteves-Pereira TC, Prado-Ribeiro AC, Martins MD, Lopes MA, Sollecito TP. Evolving Principles for Oral Squamous Cell Carcinoma Screening Programs. Cancers. 2026; 18(9):1462. https://doi.org/10.3390/cancers18091462
Chicago/Turabian StyleSantos-Silva, Alan Roger, Joel B. Epstein, Luiz P. Kowalski, Thaís Cristina Esteves-Pereira, Ana Carolina Prado-Ribeiro, Manoela Domingues Martins, Marcio Ajudarte Lopes, and Thomas P. Sollecito. 2026. "Evolving Principles for Oral Squamous Cell Carcinoma Screening Programs" Cancers 18, no. 9: 1462. https://doi.org/10.3390/cancers18091462
APA StyleSantos-Silva, A. R., Epstein, J. B., Kowalski, L. P., Esteves-Pereira, T. C., Prado-Ribeiro, A. C., Martins, M. D., Lopes, M. A., & Sollecito, T. P. (2026). Evolving Principles for Oral Squamous Cell Carcinoma Screening Programs. Cancers, 18(9), 1462. https://doi.org/10.3390/cancers18091462

