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Enhancing oral squamous cell carcinoma prediction: the prognostic power of the worst pattern of invasion and the limited impact of molecular resection margins
P. Hurník, J. Režnarová, Z. Chyra, O. Motyka, BM. Putnová, Z. Čermáková, T. Blažek, M. Fománek, D. Gaykalova, M. Buchtová, T. Ševčíková, J. Štembírek
Status not-indexed Language English Country Switzerland
Document type Journal Article
Grant support
R01 DE027809
NIDCR NIH HHS - United States
NLK
Directory of Open Access Journals
from 2011
Free Medical Journals
from 2011
PubMed Central
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- Publication type
- Journal Article MeSH
OBJECTIVE: Oral squamous cell carcinoma (OSCC) originates from the mucosal lining of the oral cavity. Almost half of newly diagnosed cases are classified as advanced stage IV disease, which makes resection difficult. In this study, we investigated the pathological features and mutation profiles of tumor margins in OSCC. METHODS: We performed hierarchical clustering of principal components to identify distinct patterns of tumor growth and their association with patient prognosis. We also used next-generation sequencing to analyze somatic mutations in tumor and marginal tissue samples. RESULTS: Our analyses uncovered that the grade of worst pattern of invasion (WPOI) is strongly associated with depth of invasion and patient survival in multivariable analysis. Mutations were primarily detected in the DNA isolated from tumors, but several mutations were also identified in marginal tissue. In total, we uncovered 29 mutated genes, mainly tumor suppressor genes involved in DNA repair including BRCA genes; however none of these mutations significantly correlated with a higher chance of relapse in our medium-size cohort. Some resection margins that appeared histologically normal harbored tumorigenic mutations in TP53 and CDKN2A genes. CONCLUSION: Even histologically normal margins may contain molecular alterations that are not detectable by conventional histopathological methods, but NCCN classification system still outperforms other methods in the prediction of the probability of disease relapse.
Department of Craniofacial Surgery Faculty of Medicine Ostrava University Ostrava Ostrava Czechia
Department of Environmental Engineering VSB Technical University of Ostrava Ostrava Czechia
Department of Experimental Biology Faculty of Science Masaryk University Brno Czechia
Department of Hematooncology University Hospital Ostrava Ostrava Czechia
Department of Histology and Embryology Faculty of Medicine Masaryk University Brno Czechia
Department of Oncology University Hospital Ostrava Ostrava Czechia
Department of Oral and Maxillofacial Surgery University Hospital Ostrava Ostrava Czechia
Department of Otorhinolaryngology University Hospital Ostrava Ostrava Czechia
Institute for Genome Sciences University of Maryland School of Medicine Baltimore MD United States
Institute of Animal Physiology and Genetics Czech Academy of Sciences Brno Czechia
Institute of Clinical and Molecular Pathology University Hospital Ostrava Ostrava Czechia
References provided by Crossref.org
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- $a Hurník, Pavel $u Institute of Clinical and Molecular Pathology, University Hospital Ostrava, Ostrava, Czechia $u Institute of Clinical and Molecular Pathology, Faculty of Medicine, University of Ostrava, Ostrava, Czechia $u Department of Histology and Embryology, Faculty of Medicine, Masaryk University, Brno, Czechia
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- $a OBJECTIVE: Oral squamous cell carcinoma (OSCC) originates from the mucosal lining of the oral cavity. Almost half of newly diagnosed cases are classified as advanced stage IV disease, which makes resection difficult. In this study, we investigated the pathological features and mutation profiles of tumor margins in OSCC. METHODS: We performed hierarchical clustering of principal components to identify distinct patterns of tumor growth and their association with patient prognosis. We also used next-generation sequencing to analyze somatic mutations in tumor and marginal tissue samples. RESULTS: Our analyses uncovered that the grade of worst pattern of invasion (WPOI) is strongly associated with depth of invasion and patient survival in multivariable analysis. Mutations were primarily detected in the DNA isolated from tumors, but several mutations were also identified in marginal tissue. In total, we uncovered 29 mutated genes, mainly tumor suppressor genes involved in DNA repair including BRCA genes; however none of these mutations significantly correlated with a higher chance of relapse in our medium-size cohort. Some resection margins that appeared histologically normal harbored tumorigenic mutations in TP53 and CDKN2A genes. CONCLUSION: Even histologically normal margins may contain molecular alterations that are not detectable by conventional histopathological methods, but NCCN classification system still outperforms other methods in the prediction of the probability of disease relapse.
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