Representation of genomic intratumor heterogeneity in multi-region non-small cell lung cancer patient-derived xenograft models
- PMID: 38821942
- PMCID: PMC11143323
- DOI: 10.1038/s41467-024-47547-3
Representation of genomic intratumor heterogeneity in multi-region non-small cell lung cancer patient-derived xenograft models
Abstract
Patient-derived xenograft (PDX) models are widely used in cancer research. To investigate the genomic fidelity of non-small cell lung cancer PDX models, we established 48 PDX models from 22 patients enrolled in the TRACERx study. Multi-region tumor sampling increased successful PDX engraftment and most models were histologically similar to their parent tumor. Whole-exome sequencing enabled comparison of tumors and PDX models and we provide an adapted mouse reference genome for improved removal of NOD scid gamma (NSG) mouse-derived reads from sequencing data. PDX model establishment caused a genomic bottleneck, with models often representing a single tumor subclone. While distinct tumor subclones were represented in independent models from the same tumor, individual PDX models did not fully recapitulate intratumor heterogeneity. On-going genomic evolution in mice contributed modestly to the genomic distance between tumors and PDX models. Our study highlights the importance of considering primary tumor heterogeneity when using PDX models and emphasizes the benefit of comprehensive tumor sampling.
© 2024. The Author(s).
Conflict of interest statement
D.A.M. reports speaker fees from AstraZeneca, Eli Lilly, BMS and Takeda, consultancy fees from AstraZeneca, Thermo Fisher, Takeda, Amgen, Janssen, MIM Software, Bristol-Myers Squibb and Eli Lilly and has received educational support from Takeda and Amgen. C.S. acknowledges grants from AstraZeneca, Boehringer-Ingelheim, Bristol Myers Squibb, Pfizer, Roche-Ventana, Invitae (previously Archer Dx Inc. - collaboration in minimal residual disease sequencing technologies), Ono Pharmaceutical, and Personalis. He is chief investigator for the AZ MeRmaiD 1 and 2 clinical trials and is the steering committee chair. He is also co-chief investigator of the NHS Galleri trial funded by GRAIL and a paid member of GRAIL’s Scientific Advisory Board. He receives consultant fees from Achilles Therapeutics (also a scientific advisory board (SAB) member), Bicycle Therapeutics (also a SAB member), Genentech, Medicxi, China Innovation Centre of Roche (CICoR) formerly Roche Innovation Centre – Shanghai, Saga Diagnostics SAB member, Metabomed (until July 2022), Relay Therapeutics SAB member, and the Sarah Cannon Research Institute. C.S has received honoraria from Amgen, AstraZeneca, Bristol Myers Squibb, GlaxoSmithKline, Illumina, MSD, Novartis, Pfizer, and Roche-Ventana. C.S. has previously held stock options in Apogen Biotechnologies and GRAIL, and currently has stock options in Epic Bioscience, Bicycle Therapeutics, and has stock options and is co-founder of Achilles Therapeutics. S.V. is a co-inventor to a patent of methods for detecting molecules in a sample (U.S. patent no. 10578620; Methods for detecting molecules in a sample). C.S declares a patent application (PCT/US2017/028013; Methods for lung cancer detection) for methods to lung cancer; targeting neoantigens (PCT/EP2016/059401; Method for treating cancer); identifying patent response to immune checkpoint blockade (PCT/EP2016/071471; “Immune checkpoint intervention” in cancer), determining HLA LOH (PCT/GB2018/052004; Analysis of HLA alleles in tumors and the uses thereof); predicting survival rates of patients with cancer (PCT/GB2020/050221; Method of predicting survival rates for cancer patients), identifying patients who respond to cancer treatment (PCT/GB2018/051912; Method for identifying responders to cancer treatment); methods for lung cancer detection (US20190106751A1; Methods for lung cancer detection); methods for systems and tumor monitoring (PCT/EP2022/077987; Methods and systems for tumor monitoring). C.S. is an inventor on a European patent application (PCT/GB2017/053289; Method of detecting tumor recurrence) relating to assay technology to detect tumor recurrence. This patent has been licensed to a commercial entity and under their terms of employment C.S is due a revenue share of any revenue generated from such license(s). The remaining authors declare no competing interests.
Figures
References
-
- Hidalgo M, et al. Patient-derived xenograft models: an emerging platform for translational cancer research. Cancer Discov. 2014;4:998–1013. doi: 10.1158/2159-8290.CD-14-0001. - DOI - PMC - PubMed
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
