Utilização de plataforma gênica no prognóstico do câncer de mama

Paula Gabriela Casa Cesar, Fernando Luiz Affonso Fonseca, Flávia de Sousa Gehrke, Beatriz da Costa Aguiar Alves, Renata Kelly Kuniyoshi, Auro Del Giglio

Resumo


O câncer de mama é o principal tipo de câncer que acomete as mulheres no mundo. Muitos são os fatores que estão associados ao aparecimento e desenvolvimento desse tipo de tumor. Há grande variabilidade interindividual tanto na idade da mulher no momento do diagnóstico de câncer de mama quanto na expressão fenotípica existente nesse mesmo momento, o que torna o diagnóstico desafiante para qualquer pesquisador. Na última década, houve melhor entendimento sobre os mecanismos moleculares envolvidos na progressão do câncer de mama e sobre o papel central das alterações moleculares na detecção precoce do tumor. O desafio agora é aprender a usar as características moleculares individuais do tumor de cada paciente e melhorar as formas atuais de detecção e de tratamento, visando à prevenção do aparecimento e ao diagnóstico precoce do tumor. Atualmente, dois são os métodos já amplamente utilizados nos Estados Unidos para caracterizar molecularmente os tumores mamários: MammaPrint e OncotypeDX. Este trabalho teve por objetivo discutir esses dois métodos prognósticos do câncer de mama, visando estabelecer diferenças entre eles e suas principais aplicações.


Palavras-chave


neoplasias da mama; estudos epidemiológicos; genética; diagnóstico precoce

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Referências


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DOI: https://doi.org/10.7322/abcs.v37i3.30

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