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Detection and monitoring of driver mutations by next‐generation sequencing in squamous cell lung cancer patient and possible predictive biomarker of third generation EGFR‐tyrosine kinase inhibitors
Driver mutation detection and the development of targeted drugs have significantly improved survival of advanced lung adenocarcinoma patients with driver mutations. However, we still lack understanding of druggable mutations in patients with advanced squamous cell lung cancer (SQCLC). Less than 10%...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons Australia, Ltd
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5754292/ https://www.ncbi.nlm.nih.gov/pubmed/29143497 http://dx.doi.org/10.1111/1759-7714.12551 |
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author | Shen, Xiaoyan Shen, Jie Zhang, Hang Cheng, Yuxin Yang, Yang Gao, Jiahui Zhang, Yu Li, Rutian Liu, Baorui Wang, Lifeng |
author_facet | Shen, Xiaoyan Shen, Jie Zhang, Hang Cheng, Yuxin Yang, Yang Gao, Jiahui Zhang, Yu Li, Rutian Liu, Baorui Wang, Lifeng |
author_sort | Shen, Xiaoyan |
collection | PubMed |
description | Driver mutation detection and the development of targeted drugs have significantly improved survival of advanced lung adenocarcinoma patients with driver mutations. However, we still lack understanding of druggable mutations in patients with advanced squamous cell lung cancer (SQCLC). Less than 10% of SQCLC patients have EGFR gene mutations, thus we have limited knowledge of biological molecular changes with first generation EGFR‐tyrosine kinase inhibitor (TKI) resistance. We report a case of an SQCLC patient treated with first‐line platinum‐doublet chemotherapy. After disease progression, the patient was administered first generation EGFR‐TKI gefitinib based on next generation sequencing results. After five months, a second biopsy was performed and both the tumor and plasma samples indicated an acquired EGFR exon 20 T790M mutation. The patient was subsequently administered AZD9291, which resulted in disease control for a time. Our results indicate that a TP53 exon 8 mutation might act as a negative predictive biomarker for third generation EGFR‐TKIs. |
format | Online Article Text |
id | pubmed-5754292 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley & Sons Australia, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-57542922018-01-09 Detection and monitoring of driver mutations by next‐generation sequencing in squamous cell lung cancer patient and possible predictive biomarker of third generation EGFR‐tyrosine kinase inhibitors Shen, Xiaoyan Shen, Jie Zhang, Hang Cheng, Yuxin Yang, Yang Gao, Jiahui Zhang, Yu Li, Rutian Liu, Baorui Wang, Lifeng Thorac Cancer Case Reports Driver mutation detection and the development of targeted drugs have significantly improved survival of advanced lung adenocarcinoma patients with driver mutations. However, we still lack understanding of druggable mutations in patients with advanced squamous cell lung cancer (SQCLC). Less than 10% of SQCLC patients have EGFR gene mutations, thus we have limited knowledge of biological molecular changes with first generation EGFR‐tyrosine kinase inhibitor (TKI) resistance. We report a case of an SQCLC patient treated with first‐line platinum‐doublet chemotherapy. After disease progression, the patient was administered first generation EGFR‐TKI gefitinib based on next generation sequencing results. After five months, a second biopsy was performed and both the tumor and plasma samples indicated an acquired EGFR exon 20 T790M mutation. The patient was subsequently administered AZD9291, which resulted in disease control for a time. Our results indicate that a TP53 exon 8 mutation might act as a negative predictive biomarker for third generation EGFR‐TKIs. John Wiley & Sons Australia, Ltd 2017-11-16 2018-01 /pmc/articles/PMC5754292/ /pubmed/29143497 http://dx.doi.org/10.1111/1759-7714.12551 Text en © 2017 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 Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Case Reports Shen, Xiaoyan Shen, Jie Zhang, Hang Cheng, Yuxin Yang, Yang Gao, Jiahui Zhang, Yu Li, Rutian Liu, Baorui Wang, Lifeng Detection and monitoring of driver mutations by next‐generation sequencing in squamous cell lung cancer patient and possible predictive biomarker of third generation EGFR‐tyrosine kinase inhibitors |
title | Detection and monitoring of driver mutations by next‐generation sequencing in squamous cell lung cancer patient and possible predictive biomarker of third generation EGFR‐tyrosine kinase inhibitors
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title_full | Detection and monitoring of driver mutations by next‐generation sequencing in squamous cell lung cancer patient and possible predictive biomarker of third generation EGFR‐tyrosine kinase inhibitors
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title_fullStr | Detection and monitoring of driver mutations by next‐generation sequencing in squamous cell lung cancer patient and possible predictive biomarker of third generation EGFR‐tyrosine kinase inhibitors
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title_full_unstemmed | Detection and monitoring of driver mutations by next‐generation sequencing in squamous cell lung cancer patient and possible predictive biomarker of third generation EGFR‐tyrosine kinase inhibitors
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title_short | Detection and monitoring of driver mutations by next‐generation sequencing in squamous cell lung cancer patient and possible predictive biomarker of third generation EGFR‐tyrosine kinase inhibitors
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title_sort | detection and monitoring of driver mutations by next‐generation sequencing in squamous cell lung cancer patient and possible predictive biomarker of third generation egfr‐tyrosine kinase inhibitors |
topic | Case Reports |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5754292/ https://www.ncbi.nlm.nih.gov/pubmed/29143497 http://dx.doi.org/10.1111/1759-7714.12551 |
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