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EGFR Mutation Detection in Brazilian Patients With Non–Small-Cell Lung Cancer: Lessons From Real-World Data Scenario of Molecular Testing

PURPOSE: There is a paucity of consistent data concerning genetic mutations in Brazilian patients with lung cancer. The aim of this study was to retrospectively analyze epidermal growth factor receptor (EGFR) mutations detected in a real-world scenario using a large cohort of Brazilian patients with...

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Autores principales: Montella, Tatiane, Zalis, Mariano, Zukin, Mauro, Cordeiro de Lima, Vladmir Claudio, Baldotto, Clarissa, De Marchi, Pedro, Salles, Paulo, Mathias, Clarissa, Barrios, Carlos, Kawamura, Carolina, Calabrich, Aknar, Araújo, Luiz Henrique, Castro, Gilberto, Bustamante, Carolina, Santa Maria, André, Reis, Marcelo, Ferreira, Carlos Gil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10581633/
https://www.ncbi.nlm.nih.gov/pubmed/37769218
http://dx.doi.org/10.1200/GO.22.00426
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author Montella, Tatiane
Zalis, Mariano
Zukin, Mauro
Cordeiro de Lima, Vladmir Claudio
Baldotto, Clarissa
De Marchi, Pedro
Salles, Paulo
Mathias, Clarissa
Barrios, Carlos
Kawamura, Carolina
Calabrich, Aknar
Araújo, Luiz Henrique
Castro, Gilberto
Bustamante, Carolina
Santa Maria, André
Reis, Marcelo
Ferreira, Carlos Gil
author_facet Montella, Tatiane
Zalis, Mariano
Zukin, Mauro
Cordeiro de Lima, Vladmir Claudio
Baldotto, Clarissa
De Marchi, Pedro
Salles, Paulo
Mathias, Clarissa
Barrios, Carlos
Kawamura, Carolina
Calabrich, Aknar
Araújo, Luiz Henrique
Castro, Gilberto
Bustamante, Carolina
Santa Maria, André
Reis, Marcelo
Ferreira, Carlos Gil
author_sort Montella, Tatiane
collection PubMed
description PURPOSE: There is a paucity of consistent data concerning genetic mutations in Brazilian patients with lung cancer. The aim of this study was to retrospectively analyze epidermal growth factor receptor (EGFR) mutations detected in a real-world scenario using a large cohort of Brazilian patients with non–small-cell lung cancer (NSCLC). MATERIALS AND METHODS: This was a cross-sectional, observational, descriptive study on the basis of a database of EGFR molecular analysis from tumor samples of patients with a confirmatory histopathological diagnosis of primary lung cancer. Specimens were collected from 2013 to 2017 and were tested using cobas, next-generation sequencing, and Sanger sequencing platforms. RESULTS: A total of 7,413 tumor specimens were tested. The patients were predominantly women with a median age of 67.0 years. Patients with at least one mutation represented 24.2% of the total sample. Among the positive patients, the majority had just one mutation, but two or more simultaneous mutations were observed in 1.52% of patients. Exon 19 deletion was the most prevalent alteration in the sample (12.8%), followed by exon 21 L858R (6.9%) and exon 20 insertion (1.6%). All others were considered uncommon mutations and were observed in 18.5% of all mutated patients and 4.0% of the total sample (2.3%-18.7% depending on the sequencing method). CONCLUSION: This study examined the prevalence of EGFR mutations in Brazilian patients with NSCLC using different technologies, suggesting that the type of method used, directed or nondirected against specific mutations, influences the analysis, particularly for uncommon mutations, which will be missed by mutation-specific approaches such as cobas testing. Our estimates are the largest in Latin America and are consistent with previous reports from other parts of the world. Besides the variability in methods described here as technology incorporation advances in a nonhomogeneous manner, it is probably like the real-world clinical setting Brazilian oncologists face in their daily practice.
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spelling pubmed-105816332023-10-18 EGFR Mutation Detection in Brazilian Patients With Non–Small-Cell Lung Cancer: Lessons From Real-World Data Scenario of Molecular Testing Montella, Tatiane Zalis, Mariano Zukin, Mauro Cordeiro de Lima, Vladmir Claudio Baldotto, Clarissa De Marchi, Pedro Salles, Paulo Mathias, Clarissa Barrios, Carlos Kawamura, Carolina Calabrich, Aknar Araújo, Luiz Henrique Castro, Gilberto Bustamante, Carolina Santa Maria, André Reis, Marcelo Ferreira, Carlos Gil JCO Glob Oncol ORIGINAL REPORTS PURPOSE: There is a paucity of consistent data concerning genetic mutations in Brazilian patients with lung cancer. The aim of this study was to retrospectively analyze epidermal growth factor receptor (EGFR) mutations detected in a real-world scenario using a large cohort of Brazilian patients with non–small-cell lung cancer (NSCLC). MATERIALS AND METHODS: This was a cross-sectional, observational, descriptive study on the basis of a database of EGFR molecular analysis from tumor samples of patients with a confirmatory histopathological diagnosis of primary lung cancer. Specimens were collected from 2013 to 2017 and were tested using cobas, next-generation sequencing, and Sanger sequencing platforms. RESULTS: A total of 7,413 tumor specimens were tested. The patients were predominantly women with a median age of 67.0 years. Patients with at least one mutation represented 24.2% of the total sample. Among the positive patients, the majority had just one mutation, but two or more simultaneous mutations were observed in 1.52% of patients. Exon 19 deletion was the most prevalent alteration in the sample (12.8%), followed by exon 21 L858R (6.9%) and exon 20 insertion (1.6%). All others were considered uncommon mutations and were observed in 18.5% of all mutated patients and 4.0% of the total sample (2.3%-18.7% depending on the sequencing method). CONCLUSION: This study examined the prevalence of EGFR mutations in Brazilian patients with NSCLC using different technologies, suggesting that the type of method used, directed or nondirected against specific mutations, influences the analysis, particularly for uncommon mutations, which will be missed by mutation-specific approaches such as cobas testing. Our estimates are the largest in Latin America and are consistent with previous reports from other parts of the world. Besides the variability in methods described here as technology incorporation advances in a nonhomogeneous manner, it is probably like the real-world clinical setting Brazilian oncologists face in their daily practice. Wolters Kluwer Health 2023-09-28 /pmc/articles/PMC10581633/ /pubmed/37769218 http://dx.doi.org/10.1200/GO.22.00426 Text en © 2023 by American Society of Clinical Oncology https://creativecommons.org/licenses/by-nc-nd/4.0/Creative Commons Attribution Non-Commercial No Derivatives 4.0 License: http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle ORIGINAL REPORTS
Montella, Tatiane
Zalis, Mariano
Zukin, Mauro
Cordeiro de Lima, Vladmir Claudio
Baldotto, Clarissa
De Marchi, Pedro
Salles, Paulo
Mathias, Clarissa
Barrios, Carlos
Kawamura, Carolina
Calabrich, Aknar
Araújo, Luiz Henrique
Castro, Gilberto
Bustamante, Carolina
Santa Maria, André
Reis, Marcelo
Ferreira, Carlos Gil
EGFR Mutation Detection in Brazilian Patients With Non–Small-Cell Lung Cancer: Lessons From Real-World Data Scenario of Molecular Testing
title EGFR Mutation Detection in Brazilian Patients With Non–Small-Cell Lung Cancer: Lessons From Real-World Data Scenario of Molecular Testing
title_full EGFR Mutation Detection in Brazilian Patients With Non–Small-Cell Lung Cancer: Lessons From Real-World Data Scenario of Molecular Testing
title_fullStr EGFR Mutation Detection in Brazilian Patients With Non–Small-Cell Lung Cancer: Lessons From Real-World Data Scenario of Molecular Testing
title_full_unstemmed EGFR Mutation Detection in Brazilian Patients With Non–Small-Cell Lung Cancer: Lessons From Real-World Data Scenario of Molecular Testing
title_short EGFR Mutation Detection in Brazilian Patients With Non–Small-Cell Lung Cancer: Lessons From Real-World Data Scenario of Molecular Testing
title_sort egfr mutation detection in brazilian patients with non–small-cell lung cancer: lessons from real-world data scenario of molecular testing
topic ORIGINAL REPORTS
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10581633/
https://www.ncbi.nlm.nih.gov/pubmed/37769218
http://dx.doi.org/10.1200/GO.22.00426
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