Establishment and genomic validation of novel patient-derived xenograft models for drug discovery in gastrointestinal stromal tumor.

Authors

Marya Kozinova, Ashot Nazaretian, Martin G Belinsky, Yan Zhou, Shalina Joshi, Karthik Devarajan, Kathy Q Cai, Delia Zumpano, Shuai Ye, Yinfei Tan, Sanjay S Reddy, Jeffrey M Farma, Margaret von Mehren, Lori Rink

Published in

BMC cancer. Volume 26. Issue 1. Aug 10, 2026. Epub Aug 10, 2026.

Abstract

Most gastrointestinal stromal tumor (GIST) patients develop clinical resistance to approved tyrosine kinase inhibitors (TKI). The development of effective treatment strategies for refractory GIST requires identification of novel targets for investigational agents and well-characterized preclinical models, like patient-derived xenograft (PDX) models, to evaluate them. While GIST PDX models have been shown to mirror patient tumors in cell morphology and driver mutation status, studies across tumor types indicate that PDX models may undergo limited genomic changes during engraftment and passaging. We performed a comprehensive genomic analysis of six KIT-mutant GIST PDX models derived from TKI-refractory patients. Pairwise comparison of copy number variation (CNV) profiles indicated strong correlation between PDX and matched primary tumors. Four models exhibited changes in the number of CNV events relative to the primary tumors, suggesting clonal selection and tumor heterogeneity during engraftment and passaging. Analysis of cancer-associated gene aberrations showed stability of primary KIT driver mutations, with minor fluctuations in the allelic frequencies of acquired mutations, suggesting initial heterogeneity of GIST tumors and potential enrichment of sub-clonal populations through passaging. To functionally assess model fidelity in vivo, three PDX models were treated with the approved second-line TKI sunitinib. The models exhibited differential responses that could not be fully explained by driver mutation status alone, highlighting the need for further investigation in larger cohorts.These findings highlight the importance of comprehensive genomic characterization of PDX models prior to their use in preclinical studies, supporting more accurate interpretation of experimental results and preserving their value as research tools.

PMID:
42859176
Bibliographic data and abstract were imported from PubMed on 11 Oct 2026.

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