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Tumor Heterogeneity and Drug Resistance Mutations Using ctDNA in Metastatic EGFR Mutation-Positive Lung Adenocarcinoma: A Case Report
For advanced non-small cell lung cancer (NSCLC) patients with epidermal growth factor receptor (EGFR) mutations, EGFR tyrosine kinase inhibitors (TKIs) have been approved as the standard therapy and shown clinical benefits. However, the emergence of drug resistance is inevitable. Tumor heterogeneity...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440701/ https://www.ncbi.nlm.nih.gov/pubmed/36065405 http://dx.doi.org/10.2147/OTT.S376647 |
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author | Sun, Jinghua Sun, Ge Lu, KeMou Xu, Lingling Qu, XiaoNa Cheng, Ye Pan, Evenki Yang, Peng Wu, Tingting Zhang, Yang He, HongMei |
author_facet | Sun, Jinghua Sun, Ge Lu, KeMou Xu, Lingling Qu, XiaoNa Cheng, Ye Pan, Evenki Yang, Peng Wu, Tingting Zhang, Yang He, HongMei |
author_sort | Sun, Jinghua |
collection | PubMed |
description | For advanced non-small cell lung cancer (NSCLC) patients with epidermal growth factor receptor (EGFR) mutations, EGFR tyrosine kinase inhibitors (TKIs) have been approved as the standard therapy and shown clinical benefits. However, the emergence of drug resistance is inevitable. Tumor heterogeneity was often observed by imaging method to evaluate the progression of primary and metastatic lesions. Tissue biopsy was also unlikely to accurately capture the complete genomic landscape from a single tissue sample. Recently, genomic characterization of circulating tumor DNA (ctDNA) offer an opportunity to reveal the clonal dynamics throughout the course of a patient’s illness and provide comprehensive genomic landscape of tumors to assess tumor heterogeneity. Here, we reported a lung adenocarcinoma (LADC) with EGFR mutations who was treated with sequential EGFR TKIs. The CT image of the patient’s different lesions suggested that dynamic change of tumor heterogeneity had occurred. Targeted next-generation sequencing (NGS) analysis of ctDNA revealed dynamic changes of mutational profiles between the primary and metastatic tumors to discover tumor evolution to guide treatment decision-making. |
format | Online Article Text |
id | pubmed-9440701 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-94407012022-09-04 Tumor Heterogeneity and Drug Resistance Mutations Using ctDNA in Metastatic EGFR Mutation-Positive Lung Adenocarcinoma: A Case Report Sun, Jinghua Sun, Ge Lu, KeMou Xu, Lingling Qu, XiaoNa Cheng, Ye Pan, Evenki Yang, Peng Wu, Tingting Zhang, Yang He, HongMei Onco Targets Ther Case Report For advanced non-small cell lung cancer (NSCLC) patients with epidermal growth factor receptor (EGFR) mutations, EGFR tyrosine kinase inhibitors (TKIs) have been approved as the standard therapy and shown clinical benefits. However, the emergence of drug resistance is inevitable. Tumor heterogeneity was often observed by imaging method to evaluate the progression of primary and metastatic lesions. Tissue biopsy was also unlikely to accurately capture the complete genomic landscape from a single tissue sample. Recently, genomic characterization of circulating tumor DNA (ctDNA) offer an opportunity to reveal the clonal dynamics throughout the course of a patient’s illness and provide comprehensive genomic landscape of tumors to assess tumor heterogeneity. Here, we reported a lung adenocarcinoma (LADC) with EGFR mutations who was treated with sequential EGFR TKIs. The CT image of the patient’s different lesions suggested that dynamic change of tumor heterogeneity had occurred. Targeted next-generation sequencing (NGS) analysis of ctDNA revealed dynamic changes of mutational profiles between the primary and metastatic tumors to discover tumor evolution to guide treatment decision-making. Dove 2022-08-30 /pmc/articles/PMC9440701/ /pubmed/36065405 http://dx.doi.org/10.2147/OTT.S376647 Text en © 2022 Sun et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Case Report Sun, Jinghua Sun, Ge Lu, KeMou Xu, Lingling Qu, XiaoNa Cheng, Ye Pan, Evenki Yang, Peng Wu, Tingting Zhang, Yang He, HongMei Tumor Heterogeneity and Drug Resistance Mutations Using ctDNA in Metastatic EGFR Mutation-Positive Lung Adenocarcinoma: A Case Report |
title | Tumor Heterogeneity and Drug Resistance Mutations Using ctDNA in Metastatic EGFR Mutation-Positive Lung Adenocarcinoma: A Case Report |
title_full | Tumor Heterogeneity and Drug Resistance Mutations Using ctDNA in Metastatic EGFR Mutation-Positive Lung Adenocarcinoma: A Case Report |
title_fullStr | Tumor Heterogeneity and Drug Resistance Mutations Using ctDNA in Metastatic EGFR Mutation-Positive Lung Adenocarcinoma: A Case Report |
title_full_unstemmed | Tumor Heterogeneity and Drug Resistance Mutations Using ctDNA in Metastatic EGFR Mutation-Positive Lung Adenocarcinoma: A Case Report |
title_short | Tumor Heterogeneity and Drug Resistance Mutations Using ctDNA in Metastatic EGFR Mutation-Positive Lung Adenocarcinoma: A Case Report |
title_sort | tumor heterogeneity and drug resistance mutations using ctdna in metastatic egfr mutation-positive lung adenocarcinoma: a case report |
topic | Case Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440701/ https://www.ncbi.nlm.nih.gov/pubmed/36065405 http://dx.doi.org/10.2147/OTT.S376647 |
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