2024-05-31Zeitschriftenartikel
Representation of genomic intratumor heterogeneity in multi-region non-small cell lung cancer patient-derived xenograft models
Hynds, Robert E.
Huebner, Ariana
Pearce, David R.
Hill, Mark S.
Akarca, Ayse U.
Moore, David A.
Ward, Sophia
Gowers, Kate H. C.
Karasaki, Takahiro
Al Bakir, Maise
Wilson, Gareth A.
Pich, Oriol
Martínez-Ruiz, Carlos
Md Mukarram Hossain, A. S.
Pearce, Simon P.
Sivakumar, Monica
Ben Aissa, Assma
Grönroos, Eva
Chandrasekharan, Deepak
Kolluri, Krishna K.
Towns, Rebecca
Wang, Kaiwen
Cook, Daniel E.
Bosshard-Carter, Leticia
Naceur-Lombardelli, Cristina
Rowan, Andrew J.
Verriah, Selvaraju
Litchfield, Kevin
Crosbie, Philip A. J.
Dive, Caroline
Quezada, Sergio A.
Janes, Sam M.
Jamal-Hanjani, Mariam
Marafioti, Teresa
TRACERx consortium
McGranahan, Nicholas
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.
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