A análise do hálito exalado mostra-se promissora na detecção de mesotelioma pleural maligno pela Associação Internacional
A identificação e análise de compostos orgânicos voláteis no ar exalado de pacientes com mesotelioma pleural maligno mostrou-se promissora como método de triagem para MPM, de acordo com uma pesquisa apresentada hoje na Conferência Mundial
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)
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A identificação e análise de compostos orgânicos voláteis no ar exalado de pacientes com mesotelioma pleural maligno mostrou-se promissora como método de triagem para MPM, de acordo com uma pesquisa apresentada hoje na Conferência Mundial sobre Câncer de Pulmão de 2023 da Associação Internacional para o Estudo do Câncer de Pulmão (IASLC), em Cingapura.
O mesotelioma pleural maligno (MPM) é uma doença desafiadora, com opções de tratamento limitadas e um prognóstico ruim. Para melhorar os resultados do tratamento e adaptar as terapias para pacientes individuais, os pesquisadores têm explorado marcadores preditivos. Recentemente, os compostos orgânicos voláteis (COV) no ar exalado surgiram como potenciais marcadores não invasivos para doenças.
Kevin Lamote, Ph.D., da Universidade de Antuérpia, na Bélgica, e colegas conduziram um estudo com o objetivo de investigar se a análise do ar exalado poderia diferenciar os respondedores ao tratamento dos que não responderam (configuração discriminativa) e, se bem sucedido, prever os resultados do tratamento mais cedo ( configuração preditiva) usando VOCs como biomarcadores preditivos.
Lamote e sua equipe examinaram 13 pacientes com MPM e os submeteram a uma tomografia computadorizada antes e a cada três meses após o tratamento, com respostas ao tratamento classificadas como estáveis (SD) ou progressivas (PD) com base nos critérios mRECIST. Amostras de respiração e de fundo foram coletadas dos pacientes em cada momento usando espectrometria de mobilidade iônica de coluna multicapilar (MCC-IMS) para caracterizar VOCs. Uma regressão laço foi realizada para identificar COVs que pudessem diferenciar entre respondedores e não respondedores após o tratamento. Além disso, um modelo preditivo foi treinado para prever os resultados do tratamento com base em amostras de respiração associadas de visitas anteriores do estudo.
O estudo demonstrou uma precisão de 89% (IC 95%: 67,9-98,1) na distinção entre pacientes com SD e DP durante o acompanhamento. Igualmente promissor, o modelo preditivo alcançou o mesmo nível de precisão inicial na previsão dos resultados do tratamento. Notavelmente, não houve diferenças significativas nas abordagens de tratamento entre pacientes com SD e DP, sugerindo que os COV selecionados podem estar envolvidos em mecanismos gerais ou correlacionados com o microambiente tumoral , em vez de serem específicos do tratamento.
“A identificação de COVs no ar exalado representa uma oportunidade promissora para detecção não invasiva e previsão de resultados de tratamento em pacientes com MPM”, disse o Dr. Lamote. "No entanto, para validar ainda mais a utilidade do perfil de COV, são necessários estudos populacionais maiores. O ajuste fino do perfil de COV para cada tratamento também pode ajudar a prever quais pacientes têm maior probabilidade de se beneficiar de terapias específicas, levando, em última análise, a regimes de tratamento gerais melhorados. para o MPM”.
Fornecido pela Associação Internacional para o Estudo do Câncer de Pulmão