DIAGNOSTIC MODEL OF EARLY STAGE OF ORAL CANCER BASED ON SINGLE NUCLEOTIDE POLYMORPHISMS
Autor: | María Fernanda Galíndez Costa, René Panico, Dante Gustavo Secchi, Mabel Brunotto, Ignacio Gonzalez Segura, José L. Barra, Victoriano Andrés Carrica |
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Rok vydání: | 2020 |
Předmět: |
Oncology
medicine.medical_specialty business.industry Ethics committee Cancer Single-nucleotide polymorphism medicine.disease Logistic regression Pathology and Forensic Medicine XRCC3 Internal medicine Diagnostic model Genotype medicine Radiology Nuclear Medicine and imaging Dentistry (miscellaneous) Surgery Oral Surgery Stage (cooking) business |
Zdroj: | Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. 129:e153-e154 |
ISSN: | 2212-4403 |
DOI: | 10.1016/j.oooo.2019.06.660 |
Popis: | Objective To evaluate genotypic characteristics of patients with oral cancer (OC) in order to develop a statistical risk prediction model for Argentine populations, and to improve their prevention, treatment, and follow-up care. Methods A case-control study of adult patients, both sexes, attended by spontaneous demand, was carried out. Exclusion criteria Treatment with corticoids or chemotherapies, systemic diseases, chronic alcoholism, drug consumption, and cancers from other sites (protocol approved by the ethics committee: 1379). The prognostic factors were assessed by logistic regression and Irwin-Fisher test; it was fixed P Results p53 R72P: Significant associations between controls and genotype GG; and between OC with the GC and CC genotypes. XPDLys751 Gln showed a significant association between OC and the polymorphic variant. There was a significant association between the genotype XRCC3 Thr241 Met and its polymorphic variant. Conclusions Polymorphisms play different roles in the development of cancer in different populations; therefore, it is possible that the variations are due to geographic and racial differences plus other risk factors. This work shows our preliminary results that should be confirmed in studies that include more patients belonging to different areas of Argentina. |
Databáze: | OpenAIRE |
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