NUMERO: #20220089

Título: RISK ASSESSMENT OF ORAL LEUKOPLAKIA BY DNA CONTENT USING FLOW CYTOMETRY

Nome do Apresentador: Matheus Henrique Lopes DOMINGUETE

Categoria do Trabalho: Trabalhos Aprovados para Disponibilização em Vídeo (ADV)

Área Temática: Patologia Oral

Resumo: Risk assessing oral leukoplakia (OL) for malignant transformation (MT) has evolved as novel strategies based on DNA content measurements have been providing consistent and reproducible predictive values using archived material. Such strategies are based on costly equipment and expertise, often inaccessible to underprivileged populations. The aim of this study was to investigate DNA content as a predictive marker of MT adapting image-based cytometry to a conventional flow cytometry (FC) context. Cases were selected from a universe of 878 biopsies, including mild, moderate, severe dysplasia and lesions without dysplasia. Twenty-six of such cases were found to have undergone malignant transformation. FC was used to establish DNA content based on propidium iodide fluorescent labeling of nuclear suspensions. Spearman correlation was used for associations between dysplasia and ploidy (p <0.05). The predictive values of each marker were calculated from Kaplan-Meier and the Log-rank tests (p <0.05). Multiple logistic regression was used to enhance DNA content classification criteria for FC. Enhanced aneuploidy classification showed up to 75% positive predictive value and 95% negative predictive value, which are among the highest reported in the literature. In conclusion, conventional FC can be used to detect both high-risk and low-risk OL with high sensitivity and specificity.

Autor 1:  Matheus Henrique Lopes DOMINGUETE

E-mail 1:  [email protected]

Autor 2:   Andresa Borges Soares

E-mail 2:  [email protected]

Autor 3 :  Vera Cavalcanti de Araújo

E-mail 3:  [email protected]

Autor 4:  Victor Angelo Martins Montalli

E-mail 4:  [email protected]

Autor 5:  Paulo de Camargo Moraes

E-mail 5:  [email protected]

Autor 6:  Fernanda Viviane Mariano

E-mail 6:  [email protected]

Autor 7:  Marcelo Sperandio

E-mail 7:  [email protected]