Literature DB >> 25444907

Gene mutations in primary tumors and corresponding patient-derived xenografts derived from non-small cell lung cancer.

Chuncheng Hao1, Li Wang1, Shaohua Peng2, Mengru Cao1, Hongyu Li1, Jing Hu1, Xiao Huang1, Wei Liu1, Hui Zhang1, Shuhong Wu1, Apar Pataer1, John V Heymach3, Agda Karina Eterovic4, Qingxiu Zhang5, Kenna R Shaw5, Ken Chen6, Andrew Futreal7, Michael Wang8, Wayne Hofstetter1, Reza Mehran1, David Rice1, Jack A Roth1, Boris Sepesi1, Stephen G Swisher1, Ara Vaporciyan1, Garrett L Walsh1, Faye M Johnson3, Bingliang Fang9.   

Abstract

Molecular annotated patient-derived xenograft (PDX) models are useful for the preclinical investigation of anticancer drugs and individualized anticancer therapy. We established 23 PDXs from 88 surgical specimens of lung cancer patients and determined gene mutations in these PDXs and their paired primary tumors by ultradeep exome sequencing on 202 cancer-related genes. The numbers of primary tumors with deleterious mutations in TP53, KRAS, PI3KCA, ALK, STK11, and EGFR were 43.5%, 21.7%, 17.4%, 17.4%, 13.0%, and 8.7%, respectively. Other genes with deleterious mutations in ≥3 (13.0%) primary tumors were MLL3, SETD2, ATM, ARID1A, CRIPAK, HGF, BAI3, EP300, KDR, PDGRRA and RUNX1. Of 315 mutations detected in the primary tumors, 293 (93%) were also detected in their corresponding PDXs, indicating that PDXs have the capacity to recapitulate the mutations in primary tumors. Nevertheless, a substantial number of mutations had higher allele frequencies in the PDXs than in the primary tumors, or were not detectable in the primary tumor, suggesting the possibility of tumor cell enrichment in PDXs or heterogeneity in the primary tumors. The molecularly annotated PDXs generated from this study could be useful for future translational studies.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Biomarkers; Gene mutations; Lung cancer; Patient-derived xenografts; Tumor models

Mesh:

Substances:

Year:  2014        PMID: 25444907      PMCID: PMC4301580          DOI: 10.1016/j.canlet.2014.11.024

Source DB:  PubMed          Journal:  Cancer Lett        ISSN: 0304-3835            Impact factor:   8.679


  58 in total

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