A multicentric analysis of prognostic factors in malignant pleural mesothelioma

Detalhes bibliográficos
Autor(a) principal: Batista, Mafalda
Data de Publicação: 2024
Outros Autores: Barata, Juliana, Costa-Martins, Sara, Valente, Maria Jesus, Oliveira Fernandes, Maria Gabriela, Saleiro, Sandra, Souto Moura, Madalena, Souto Moura, Conceição, Magalhães, Adriana, Salete Valente, Maria
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: https://doi.org/10.32932/gecp.2022.02.019
Resumo: Background: Malignant pleural mesothelioma is a rare entity with poor prognosis, linked to previous asbestos exposure. The main goal of this study was to analyse the impact of clinical factors on mesothelioma prognosis. Methods: Retrospective cohort study of patients with malignant pleural mesothelioma in three Portuguese institutions, from 1999 to 2020. Statistical analysis was performed with Kaplan–Meier method and Cox regression using IBM SPSS® v25. Results: 60 patients were included, with male predominance (70%) and a median age of 69 years old. At diagnosis, 61% had advanced TNM stage (TNM III-IV) and 18% had an ECOG-PS ≥ 2. Asbestos exposure was stated in 48%. Epithelioid mesothelioma was the most prevalent histological subtype (81%). The majority received first line chemotherapy, in 10% combined with surgery, and two patients received immunotherapy after progression. Median overall survival (OS) was 13 months and median progression free survival was 10 months. A lower OS was observed in patients with ECOG-PS ≥ 2, age ≥ 70 years, TNM stage III-IV, anaemia, and hypoalbuminemia. Applying the decision tree model proposed by Brims et al. in our population, a significant difference in median OS was observed between the risk groups. In a multivariate analysis using Cox regression, Brims risk group 4, older age and advanced TNM stage were identified as independent negative prognostic factors. Conclusion: Recognition of these prognostic factors at diagnosis and use of specific prognostic models can help guide malignant pleural mesothelioma management.
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spelling A multicentric analysis of prognostic factors in malignant pleural mesotheliomaAnálise multicêntrica dos fatores de prognóstico no mesotelioma pleural malignoMalignant mesotheliomapleural tumoursprognosissurvival analysisasbestosMesotelioma malignoneoplasias pleuraisprognósticoanálise de sobrevivênciaasbestosBackground: Malignant pleural mesothelioma is a rare entity with poor prognosis, linked to previous asbestos exposure. The main goal of this study was to analyse the impact of clinical factors on mesothelioma prognosis. Methods: Retrospective cohort study of patients with malignant pleural mesothelioma in three Portuguese institutions, from 1999 to 2020. Statistical analysis was performed with Kaplan–Meier method and Cox regression using IBM SPSS® v25. Results: 60 patients were included, with male predominance (70%) and a median age of 69 years old. At diagnosis, 61% had advanced TNM stage (TNM III-IV) and 18% had an ECOG-PS ≥ 2. Asbestos exposure was stated in 48%. Epithelioid mesothelioma was the most prevalent histological subtype (81%). The majority received first line chemotherapy, in 10% combined with surgery, and two patients received immunotherapy after progression. Median overall survival (OS) was 13 months and median progression free survival was 10 months. A lower OS was observed in patients with ECOG-PS ≥ 2, age ≥ 70 years, TNM stage III-IV, anaemia, and hypoalbuminemia. Applying the decision tree model proposed by Brims et al. in our population, a significant difference in median OS was observed between the risk groups. In a multivariate analysis using Cox regression, Brims risk group 4, older age and advanced TNM stage were identified as independent negative prognostic factors. Conclusion: Recognition of these prognostic factors at diagnosis and use of specific prognostic models can help guide malignant pleural mesothelioma management.Introdução: O mesotelioma pleural maligno é uma entidade rara com mau prognóstico, associada à exposição prévia a asbestos. O objetivo principal deste estudo foi analisar o impacto dos fatores clínicos no prognóstico do mesotelioma. Métodos: Estudo retrospetivo de doentes com mesotelioma pleural maligno em três instituições portuguesas, de 1999 a 2020. A análise estatística foi realizada com o método de Kaplan-Meier e regressão de Cox com o software IBM SPSS® v25. Resultados: Foram incluídos 60 doentes, com predomínio do sexo masculino (70%) e idade mediana de 69 anos. Ao diagnóstico, 61% apresentavam estadio TNM avançado (TNM III-IV) e 18% tinham ECOG-PS ≥ 2. 48% tinha registo de exposição a asbestos. O subtipo histológico epitelióide foi o mais prevalente (81%). A maioria recebeu quimioterapia de primeira linha, em 10% combinada com cirurgia e dois doentes receberam imunoterapia. A sobrevida global mediana (SG) foi 13 meses e a sobrevida livre de progressão mediana foi 10 meses. A SG foi menor nos doentes com ECOG-PS ≥ 2, idade ≥ 70 anos, estadio TNM III-IV, anemia e hipoalbuminémia. Aplicando o modelo de árvore de decisão proposto por Brims et al. na nossa população, observou-se uma diferença significativa na SG entre os grupos de risco. Na análise multivariada, o grupo de risco 4, idade avançada e estadio TNM avançado foram identificados como fatores independentes de prognóstico negativo. Conclusão: O reconhecimento destes de fatores prognósticos no momento do diagnóstico e o uso de modelos prognósticos específicos podem orientar a abordagem do doente com mesotelioma pleural maligno.Grupo de Estudos de Cancro do Pulmão (GECP)2024-12-28info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.32932/gecp.2022.02.019https://doi.org/10.32932/gecp.2022.02.019Thoracic Cancer Journal; Vol. 18 No. 2 (2021); 19-28reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAPenghttps://thoracjournal.com/index.php/tcj/article/view/45https://thoracjournal.com/index.php/tcj/article/view/45/41Copyright (c) 2024 Author(s) (or their employer(s)) and THORAC 2024info:eu-repo/semantics/openAccessBatista, MafaldaBarata, JulianaCosta-Martins, SaraValente, Maria JesusOliveira Fernandes, Maria GabrielaSaleiro, SandraSouto Moura, MadalenaSouto Moura, ConceiçãoMagalhães, AdrianaSalete Valente, Maria2025-01-22T08:57:30Zoai:ojs.thoracjournal.com:article/45Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T19:40:59.963223Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv A multicentric analysis of prognostic factors in malignant pleural mesothelioma
Análise multicêntrica dos fatores de prognóstico no mesotelioma pleural maligno
title A multicentric analysis of prognostic factors in malignant pleural mesothelioma
spellingShingle A multicentric analysis of prognostic factors in malignant pleural mesothelioma
Batista, Mafalda
Malignant mesothelioma
pleural tumours
prognosis
survival analysis
asbestos
Mesotelioma maligno
neoplasias pleurais
prognóstico
análise de sobrevivência
asbestos
title_short A multicentric analysis of prognostic factors in malignant pleural mesothelioma
title_full A multicentric analysis of prognostic factors in malignant pleural mesothelioma
title_fullStr A multicentric analysis of prognostic factors in malignant pleural mesothelioma
title_full_unstemmed A multicentric analysis of prognostic factors in malignant pleural mesothelioma
title_sort A multicentric analysis of prognostic factors in malignant pleural mesothelioma
author Batista, Mafalda
author_facet Batista, Mafalda
Barata, Juliana
Costa-Martins, Sara
Valente, Maria Jesus
Oliveira Fernandes, Maria Gabriela
Saleiro, Sandra
Souto Moura, Madalena
Souto Moura, Conceição
Magalhães, Adriana
Salete Valente, Maria
author_role author
author2 Barata, Juliana
Costa-Martins, Sara
Valente, Maria Jesus
Oliveira Fernandes, Maria Gabriela
Saleiro, Sandra
Souto Moura, Madalena
Souto Moura, Conceição
Magalhães, Adriana
Salete Valente, Maria
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Batista, Mafalda
Barata, Juliana
Costa-Martins, Sara
Valente, Maria Jesus
Oliveira Fernandes, Maria Gabriela
Saleiro, Sandra
Souto Moura, Madalena
Souto Moura, Conceição
Magalhães, Adriana
Salete Valente, Maria
dc.subject.por.fl_str_mv Malignant mesothelioma
pleural tumours
prognosis
survival analysis
asbestos
Mesotelioma maligno
neoplasias pleurais
prognóstico
análise de sobrevivência
asbestos
topic Malignant mesothelioma
pleural tumours
prognosis
survival analysis
asbestos
Mesotelioma maligno
neoplasias pleurais
prognóstico
análise de sobrevivência
asbestos
description Background: Malignant pleural mesothelioma is a rare entity with poor prognosis, linked to previous asbestos exposure. The main goal of this study was to analyse the impact of clinical factors on mesothelioma prognosis. Methods: Retrospective cohort study of patients with malignant pleural mesothelioma in three Portuguese institutions, from 1999 to 2020. Statistical analysis was performed with Kaplan–Meier method and Cox regression using IBM SPSS® v25. Results: 60 patients were included, with male predominance (70%) and a median age of 69 years old. At diagnosis, 61% had advanced TNM stage (TNM III-IV) and 18% had an ECOG-PS ≥ 2. Asbestos exposure was stated in 48%. Epithelioid mesothelioma was the most prevalent histological subtype (81%). The majority received first line chemotherapy, in 10% combined with surgery, and two patients received immunotherapy after progression. Median overall survival (OS) was 13 months and median progression free survival was 10 months. A lower OS was observed in patients with ECOG-PS ≥ 2, age ≥ 70 years, TNM stage III-IV, anaemia, and hypoalbuminemia. Applying the decision tree model proposed by Brims et al. in our population, a significant difference in median OS was observed between the risk groups. In a multivariate analysis using Cox regression, Brims risk group 4, older age and advanced TNM stage were identified as independent negative prognostic factors. Conclusion: Recognition of these prognostic factors at diagnosis and use of specific prognostic models can help guide malignant pleural mesothelioma management.
publishDate 2024
dc.date.none.fl_str_mv 2024-12-28
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://doi.org/10.32932/gecp.2022.02.019
https://doi.org/10.32932/gecp.2022.02.019
url https://doi.org/10.32932/gecp.2022.02.019
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://thoracjournal.com/index.php/tcj/article/view/45
https://thoracjournal.com/index.php/tcj/article/view/45/41
dc.rights.driver.fl_str_mv Copyright (c) 2024 Author(s) (or their employer(s)) and THORAC 2024
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2024 Author(s) (or their employer(s)) and THORAC 2024
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Grupo de Estudos de Cancro do Pulmão (GECP)
publisher.none.fl_str_mv Grupo de Estudos de Cancro do Pulmão (GECP)
dc.source.none.fl_str_mv Thoracic Cancer Journal; Vol. 18 No. 2 (2021); 19-28
reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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