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Circulating tumor DNA analyses predict progressive disease and indicate trastuzumab-resistant mechanism in advanced gastric cancer
BACKGROUND: Circulating tumor DNA (ctDNA) isolated from plasma contains genetic mutations that can be representative of those found in primary tumor tissue DNA. These samples can provide insights into tumoral heterogeneity in patients with advanced gastric cancer (AGC). Although trastuzumab has been...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6562020/ https://www.ncbi.nlm.nih.gov/pubmed/31031019 http://dx.doi.org/10.1016/j.ebiom.2019.04.003 |
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author | Wang, Yan Zhao, Chuanhua Chang, Lianpeng Jia, Ru Liu, Rongrui Zhang, Yun Gao, Xuan Li, Jin Chen, Rongrong Xia, Xuefeng Bulbul, Ajaz Husain, Hatim Guan, Yanfang Yi, Xin Xu, Jianming |
author_facet | Wang, Yan Zhao, Chuanhua Chang, Lianpeng Jia, Ru Liu, Rongrui Zhang, Yun Gao, Xuan Li, Jin Chen, Rongrong Xia, Xuefeng Bulbul, Ajaz Husain, Hatim Guan, Yanfang Yi, Xin Xu, Jianming |
author_sort | Wang, Yan |
collection | PubMed |
description | BACKGROUND: Circulating tumor DNA (ctDNA) isolated from plasma contains genetic mutations that can be representative of those found in primary tumor tissue DNA. These samples can provide insights into tumoral heterogeneity in patients with advanced gastric cancer (AGC). Although trastuzumab has been shown to be effective in first-line therapy for patients with metastatic gastric cancer with overexpression of human epidermal growth factor receptor 2 (HER2), the mechanism of AGC resistance is incompletely understood. METHODS: In this prospective study, we used targeted capture sequencing to analyze 173 serial ctDNA samples from 39 AGC patients. We analyzed cancer cell fractions with PyClone to understand the clonal population structure in cancer, and monitored serial samples during therapy. Serial monitoring of ctDNA using the molecular tumor burden index (mTBI), identified progressive disease before imaging results (mean: 18 weeks). FINDINGS: We reconstructed the clonal structure of ctDNA during anti-HER2 treatment, and identified 32 expanding mutations potentially related to trastuzumab resistance. Multiple pathways activating in the same patients revealed heterogeneity in trastuzumab resistance mechanisms in AGC. In patients who received chemotherapy, mTBI was validated for the prediction of progressive disease, with a sensitivity of 94% (15/16). A higher mTBI (≥1%) in pretreatment ctDNA was also a risk factor for progression-free survival. CONCLUSIONS: Analysis of ctDNA clones based on sequencing is a promising approach to clinical management, and may lead to improved therapeutic strategies for AGC patients. FUND: This work was supported by grants from the National International Cooperation Grant (to J.X.; Project No. 2014DFB33160). |
format | Online Article Text |
id | pubmed-6562020 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-65620202019-06-17 Circulating tumor DNA analyses predict progressive disease and indicate trastuzumab-resistant mechanism in advanced gastric cancer Wang, Yan Zhao, Chuanhua Chang, Lianpeng Jia, Ru Liu, Rongrui Zhang, Yun Gao, Xuan Li, Jin Chen, Rongrong Xia, Xuefeng Bulbul, Ajaz Husain, Hatim Guan, Yanfang Yi, Xin Xu, Jianming EBioMedicine Research paper BACKGROUND: Circulating tumor DNA (ctDNA) isolated from plasma contains genetic mutations that can be representative of those found in primary tumor tissue DNA. These samples can provide insights into tumoral heterogeneity in patients with advanced gastric cancer (AGC). Although trastuzumab has been shown to be effective in first-line therapy for patients with metastatic gastric cancer with overexpression of human epidermal growth factor receptor 2 (HER2), the mechanism of AGC resistance is incompletely understood. METHODS: In this prospective study, we used targeted capture sequencing to analyze 173 serial ctDNA samples from 39 AGC patients. We analyzed cancer cell fractions with PyClone to understand the clonal population structure in cancer, and monitored serial samples during therapy. Serial monitoring of ctDNA using the molecular tumor burden index (mTBI), identified progressive disease before imaging results (mean: 18 weeks). FINDINGS: We reconstructed the clonal structure of ctDNA during anti-HER2 treatment, and identified 32 expanding mutations potentially related to trastuzumab resistance. Multiple pathways activating in the same patients revealed heterogeneity in trastuzumab resistance mechanisms in AGC. In patients who received chemotherapy, mTBI was validated for the prediction of progressive disease, with a sensitivity of 94% (15/16). A higher mTBI (≥1%) in pretreatment ctDNA was also a risk factor for progression-free survival. CONCLUSIONS: Analysis of ctDNA clones based on sequencing is a promising approach to clinical management, and may lead to improved therapeutic strategies for AGC patients. FUND: This work was supported by grants from the National International Cooperation Grant (to J.X.; Project No. 2014DFB33160). Elsevier 2019-04-25 /pmc/articles/PMC6562020/ /pubmed/31031019 http://dx.doi.org/10.1016/j.ebiom.2019.04.003 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research paper Wang, Yan Zhao, Chuanhua Chang, Lianpeng Jia, Ru Liu, Rongrui Zhang, Yun Gao, Xuan Li, Jin Chen, Rongrong Xia, Xuefeng Bulbul, Ajaz Husain, Hatim Guan, Yanfang Yi, Xin Xu, Jianming Circulating tumor DNA analyses predict progressive disease and indicate trastuzumab-resistant mechanism in advanced gastric cancer |
title | Circulating tumor DNA analyses predict progressive disease and indicate trastuzumab-resistant mechanism in advanced gastric cancer |
title_full | Circulating tumor DNA analyses predict progressive disease and indicate trastuzumab-resistant mechanism in advanced gastric cancer |
title_fullStr | Circulating tumor DNA analyses predict progressive disease and indicate trastuzumab-resistant mechanism in advanced gastric cancer |
title_full_unstemmed | Circulating tumor DNA analyses predict progressive disease and indicate trastuzumab-resistant mechanism in advanced gastric cancer |
title_short | Circulating tumor DNA analyses predict progressive disease and indicate trastuzumab-resistant mechanism in advanced gastric cancer |
title_sort | circulating tumor dna analyses predict progressive disease and indicate trastuzumab-resistant mechanism in advanced gastric cancer |
topic | Research paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6562020/ https://www.ncbi.nlm.nih.gov/pubmed/31031019 http://dx.doi.org/10.1016/j.ebiom.2019.04.003 |
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