[Effect of the accumulation of risk factors on the risk of oral squamous cell carcinoma].

Introduction: the causative factors of oral squamous cell carcinoma are not necessary and not sufficient causes, even the most accepted ones, such as tobacco and alcohol. Little is known about the cumulative effect of all risk factors for oral cancer. The objective of this work was to analyze whether the sum of oral cancer risk factors is associated with an increase in its risk.

The inflammatory potential of Argentinian diet and oral squamous cell carcinoma.

Introduction: the goal of this study was to evaluate whether an association exists between dietary components related to inflammation and oral squamous cell carcinoma (OSCC) in Argentina. Methods: a case-control study was carried out with 3 controls for each case and participants of both genders who were between 24 and 85 years of age, who were recruited at the outpatient clinic, Odontology School, Universidad Nacional de Córdoba, between 2012 and 2015. Dietary information was collected using a semi-quantitative food frequency questionnaire from which energy-adjusted Dietary Inflammatory Index (E-DIITM) scores were computed.

RED MEAT, MICRONUTRIENTS AND ORAL SQUAMOUS CELL CARCINOMA OF ARGENTINE ADULT PATIENTS.

Introduction: the identification of risk group of oral cancer allows reducing the typical morbidity and mortality rates of this pathology.

Objetive: it was analyzed the role of red meat, macronutrients and micronutrients on Oral Squamous Cell carcinoma (OSCC) in a case-control study carried out in Cordoba, Argentina.

Methods: case-control study 3:1, both genders, aged 24-80 years.

Malignancy risk models for oral lesions.

Objectives: The aim of this work was to assess risk habits, clinical and cellular phenotypes and TP53 DNA changes in oral mucosa samples from patients with Oral Potentially Malignant Disorders (OPMD), in order to create models that enable genotypic and phenotypic patterns to be obtained that determine the risk of lesions becoming malignant.

Study Design: Clinical phenotypes, family history of cancer and risk habits were collected in clinical histories. TP53 gene mutation and morphometric-morphological features were studied, and multivariate models were applied.