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EGF+61 A>G polymorphism does not predict response to first‐generation EGFR tyrosine kinase inhibitors in lung cancer patients
Epidermal growth factor (EGF) and its receptor (EGFR) play a paramount role in lung carcinogenesis. The polymorphism in the EGF promoter region EGF+61A>G (rs4444903) has been associated with cancer susceptibility, but its role in lung cancer patients treated with tyrosine kinase inhibitors (TKIs)...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons Australia, Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7529554/ https://www.ncbi.nlm.nih.gov/pubmed/32881389 http://dx.doi.org/10.1111/1759-7714.13628 |
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author | Leal, Leticia F. Laus, Ana C. Cavagna, Rodrigo de Paula, Flavia E. de Oliveira, Marco A. Ribeiro, Dayana M. Hassan, Fernanda M. Miziara, José E. da Silva, Eduardo C. Albino da Silva, Vinicius D. De Marchi, Pedro Reis, Rui M. |
author_facet | Leal, Leticia F. Laus, Ana C. Cavagna, Rodrigo de Paula, Flavia E. de Oliveira, Marco A. Ribeiro, Dayana M. Hassan, Fernanda M. Miziara, José E. da Silva, Eduardo C. Albino da Silva, Vinicius D. De Marchi, Pedro Reis, Rui M. |
author_sort | Leal, Leticia F. |
collection | PubMed |
description | Epidermal growth factor (EGF) and its receptor (EGFR) play a paramount role in lung carcinogenesis. The polymorphism in the EGF promoter region EGF+61A>G (rs4444903) has been associated with cancer susceptibility, but its role in lung cancer patients treated with tyrosine kinase inhibitors (TKIs) remains unknown. Here, we aimed to evaluate the predictive and prognostic role of EGF+61A>G SNP in lung cancer from Brazilian EGFR‐mutated TKI‐treated patients. Herein, patients carrying EGFR‐sensitizing mutations submitted to TKI treatment (gefitinib/erlotinib) were analyzed (n = 111) for EGF+61A>G genotype by TaqMan genotyping assay. TKI treatment was classified as partial response (PR), stable disease (SD), and disease progression (DP), according to RECIST1.1. Association analysis was assessed by chi‐square and Fisher's test (univariate) and multinomial model (multivariate) and survival analysis by Kaplan‐Meier method and log‐rank test. The EGF+61A>G genotype frequencies observed were: AA = 31.5% (n = 35), AG = 49.6% (n = 55) and GG = 18.9% (n = 21). The allelic frequencies were 56.3% for A, and 43.7% for G and the population was in Hardy‐Weinberg equilibrium (P = 0.94). EGF+61A>G codominant model (AA vs. AG vs. GG) was associated with a response to TKIs (P = 0.046), as well as a recessive model (AA vs. AG + GG; P = 0.023). The multinomial regression showed an association between the codominant model (AG) and recessive model (AG + GG) with SD compared with DP (P = 0.01;OR = 0.08; 95% CI = 0.01–0.60 and P = 0.02;OR = 0.12; 95% CI = 0.20–0.72, respectively). No association between genotypes and progression‐free or overall survival was observed. In conclusion, the EGF+61 polymorphism (AG and AG + GG) was independently associated with stable disease in lung cancer patients although it was not associated with the overall response rate to first‐generation TKIs or patient outcome. |
format | Online Article Text |
id | pubmed-7529554 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley & Sons Australia, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-75295542020-10-05 EGF+61 A>G polymorphism does not predict response to first‐generation EGFR tyrosine kinase inhibitors in lung cancer patients Leal, Leticia F. Laus, Ana C. Cavagna, Rodrigo de Paula, Flavia E. de Oliveira, Marco A. Ribeiro, Dayana M. Hassan, Fernanda M. Miziara, José E. da Silva, Eduardo C. Albino da Silva, Vinicius D. De Marchi, Pedro Reis, Rui M. Thorac Cancer Brief Reports Epidermal growth factor (EGF) and its receptor (EGFR) play a paramount role in lung carcinogenesis. The polymorphism in the EGF promoter region EGF+61A>G (rs4444903) has been associated with cancer susceptibility, but its role in lung cancer patients treated with tyrosine kinase inhibitors (TKIs) remains unknown. Here, we aimed to evaluate the predictive and prognostic role of EGF+61A>G SNP in lung cancer from Brazilian EGFR‐mutated TKI‐treated patients. Herein, patients carrying EGFR‐sensitizing mutations submitted to TKI treatment (gefitinib/erlotinib) were analyzed (n = 111) for EGF+61A>G genotype by TaqMan genotyping assay. TKI treatment was classified as partial response (PR), stable disease (SD), and disease progression (DP), according to RECIST1.1. Association analysis was assessed by chi‐square and Fisher's test (univariate) and multinomial model (multivariate) and survival analysis by Kaplan‐Meier method and log‐rank test. The EGF+61A>G genotype frequencies observed were: AA = 31.5% (n = 35), AG = 49.6% (n = 55) and GG = 18.9% (n = 21). The allelic frequencies were 56.3% for A, and 43.7% for G and the population was in Hardy‐Weinberg equilibrium (P = 0.94). EGF+61A>G codominant model (AA vs. AG vs. GG) was associated with a response to TKIs (P = 0.046), as well as a recessive model (AA vs. AG + GG; P = 0.023). The multinomial regression showed an association between the codominant model (AG) and recessive model (AG + GG) with SD compared with DP (P = 0.01;OR = 0.08; 95% CI = 0.01–0.60 and P = 0.02;OR = 0.12; 95% CI = 0.20–0.72, respectively). No association between genotypes and progression‐free or overall survival was observed. In conclusion, the EGF+61 polymorphism (AG and AG + GG) was independently associated with stable disease in lung cancer patients although it was not associated with the overall response rate to first‐generation TKIs or patient outcome. John Wiley & Sons Australia, Ltd 2020-09-03 2020-10 /pmc/articles/PMC7529554/ /pubmed/32881389 http://dx.doi.org/10.1111/1759-7714.13628 Text en © 2020 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Brief Reports Leal, Leticia F. Laus, Ana C. Cavagna, Rodrigo de Paula, Flavia E. de Oliveira, Marco A. Ribeiro, Dayana M. Hassan, Fernanda M. Miziara, José E. da Silva, Eduardo C. Albino da Silva, Vinicius D. De Marchi, Pedro Reis, Rui M. EGF+61 A>G polymorphism does not predict response to first‐generation EGFR tyrosine kinase inhibitors in lung cancer patients |
title |
EGF+61 A>G polymorphism does not predict response to first‐generation EGFR tyrosine kinase inhibitors in lung cancer patients |
title_full |
EGF+61 A>G polymorphism does not predict response to first‐generation EGFR tyrosine kinase inhibitors in lung cancer patients |
title_fullStr |
EGF+61 A>G polymorphism does not predict response to first‐generation EGFR tyrosine kinase inhibitors in lung cancer patients |
title_full_unstemmed |
EGF+61 A>G polymorphism does not predict response to first‐generation EGFR tyrosine kinase inhibitors in lung cancer patients |
title_short |
EGF+61 A>G polymorphism does not predict response to first‐generation EGFR tyrosine kinase inhibitors in lung cancer patients |
title_sort | egf+61 a>g polymorphism does not predict response to first‐generation egfr tyrosine kinase inhibitors in lung cancer patients |
topic | Brief Reports |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7529554/ https://www.ncbi.nlm.nih.gov/pubmed/32881389 http://dx.doi.org/10.1111/1759-7714.13628 |
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