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Characterization and validation of potential therapeutic targets based on the molecular signature of patient-derived xenografts in gastric cancer
BACKGROUND: Patient-derived xenograft (PDX) models with definite molecular signature are attractive preclinical models for development of novel targeted drugs. Here, we profiled and explored potential therapeutic targets based on characterized PDX models for advanced gastric cancer (AGC). METHODS: T...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5809945/ https://www.ncbi.nlm.nih.gov/pubmed/29433585 http://dx.doi.org/10.1186/s13045-018-0563-y |
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author | Chen, Zuhua Huang, Wenwen Tian, Tiantian Zang, Wanchun Wang, Jingyuan Liu, Zhentao Li, Zhongwu Lai, Yumei Jiang, Zhi Gao, Jing Shen, Lin |
author_facet | Chen, Zuhua Huang, Wenwen Tian, Tiantian Zang, Wanchun Wang, Jingyuan Liu, Zhentao Li, Zhongwu Lai, Yumei Jiang, Zhi Gao, Jing Shen, Lin |
author_sort | Chen, Zuhua |
collection | PubMed |
description | BACKGROUND: Patient-derived xenograft (PDX) models with definite molecular signature are attractive preclinical models for development of novel targeted drugs. Here, we profiled and explored potential therapeutic targets based on characterized PDX models for advanced gastric cancer (AGC). METHODS: The genomic variation and molecular profile of 50 PDX models from AGC patients were analyzed by targeted next-generation sequencing, in situ hybridization, and immunohistochemistry. The antitumor activities of several targeted drugs were investigated in the PDX models. Furthermore, response biomarkers were explored. RESULTS: Each PDX model had individual histopathological and molecular features, and recurrent alterations in the MAPK, ErbB, VEGF, mTOR, and cell cycle signaling pathways were major events in these PDX models. Several potential drug targets, such as EGFR, MET, and CCNE1, were selected and validated in this study. Volitinib demonstrated strong antitumor activity in PDX models with MET and phosphorylated MET (pMET) overexpression. The EGFR monoclonal antibodies BK011 and cetuximab inhibited tumor growth in a PDX model with EGFR amplification. Afatinib inhibited tumor growth in the PDX models with EGFR amplification, EGFR overexpression, or HER2 amplification. Apatinib was more sensitive in the PDX models with high microvessel density. The CDK1/2/9 inhibitor AZD5438 had superior anti-tumor activity in two models with higher copy number of CCNE1. CONCLUSIONS: PDX models with defined molecular signature are useful for preclinical studies with targeted drugs, and the results should be validated in larger studies with PDX models or in clinical trials. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13045-018-0563-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5809945 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58099452018-02-16 Characterization and validation of potential therapeutic targets based on the molecular signature of patient-derived xenografts in gastric cancer Chen, Zuhua Huang, Wenwen Tian, Tiantian Zang, Wanchun Wang, Jingyuan Liu, Zhentao Li, Zhongwu Lai, Yumei Jiang, Zhi Gao, Jing Shen, Lin J Hematol Oncol Research BACKGROUND: Patient-derived xenograft (PDX) models with definite molecular signature are attractive preclinical models for development of novel targeted drugs. Here, we profiled and explored potential therapeutic targets based on characterized PDX models for advanced gastric cancer (AGC). METHODS: The genomic variation and molecular profile of 50 PDX models from AGC patients were analyzed by targeted next-generation sequencing, in situ hybridization, and immunohistochemistry. The antitumor activities of several targeted drugs were investigated in the PDX models. Furthermore, response biomarkers were explored. RESULTS: Each PDX model had individual histopathological and molecular features, and recurrent alterations in the MAPK, ErbB, VEGF, mTOR, and cell cycle signaling pathways were major events in these PDX models. Several potential drug targets, such as EGFR, MET, and CCNE1, were selected and validated in this study. Volitinib demonstrated strong antitumor activity in PDX models with MET and phosphorylated MET (pMET) overexpression. The EGFR monoclonal antibodies BK011 and cetuximab inhibited tumor growth in a PDX model with EGFR amplification. Afatinib inhibited tumor growth in the PDX models with EGFR amplification, EGFR overexpression, or HER2 amplification. Apatinib was more sensitive in the PDX models with high microvessel density. The CDK1/2/9 inhibitor AZD5438 had superior anti-tumor activity in two models with higher copy number of CCNE1. CONCLUSIONS: PDX models with defined molecular signature are useful for preclinical studies with targeted drugs, and the results should be validated in larger studies with PDX models or in clinical trials. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13045-018-0563-y) contains supplementary material, which is available to authorized users. BioMed Central 2018-02-13 /pmc/articles/PMC5809945/ /pubmed/29433585 http://dx.doi.org/10.1186/s13045-018-0563-y Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Chen, Zuhua Huang, Wenwen Tian, Tiantian Zang, Wanchun Wang, Jingyuan Liu, Zhentao Li, Zhongwu Lai, Yumei Jiang, Zhi Gao, Jing Shen, Lin Characterization and validation of potential therapeutic targets based on the molecular signature of patient-derived xenografts in gastric cancer |
title | Characterization and validation of potential therapeutic targets based on the molecular signature of patient-derived xenografts in gastric cancer |
title_full | Characterization and validation of potential therapeutic targets based on the molecular signature of patient-derived xenografts in gastric cancer |
title_fullStr | Characterization and validation of potential therapeutic targets based on the molecular signature of patient-derived xenografts in gastric cancer |
title_full_unstemmed | Characterization and validation of potential therapeutic targets based on the molecular signature of patient-derived xenografts in gastric cancer |
title_short | Characterization and validation of potential therapeutic targets based on the molecular signature of patient-derived xenografts in gastric cancer |
title_sort | characterization and validation of potential therapeutic targets based on the molecular signature of patient-derived xenografts in gastric cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5809945/ https://www.ncbi.nlm.nih.gov/pubmed/29433585 http://dx.doi.org/10.1186/s13045-018-0563-y |
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