iScience (Nov 2023)

Comprehensive characterization of patient-derived xenograft models of pediatric leukemia

  • Anna Rogojina,
  • Laura J. Klesse,
  • Erin Butler,
  • Jiwoong Kim,
  • He Zhang,
  • Xue Xiao,
  • Lei Guo,
  • Qinbo Zhou,
  • Taylor Hartshorne,
  • Dawn Garcia,
  • Korri Weldon,
  • Trevor Holland,
  • Abhik Bandyopadhyay,
  • Luz Perez Prado,
  • Shidan Wang,
  • Donghan M. Yang,
  • Anne-Marie Langevan,
  • Yi Zou,
  • Allison C. Grimes,
  • Chatchawin Assanasen,
  • Vinod Gidvani-Diaz,
  • Siyuan Zheng,
  • Zhao Lai,
  • Yidong Chen,
  • Yang Xie,
  • Gail E. Tomlinson,
  • Stephen X. Skapek,
  • Raushan T. Kurmasheva,
  • Peter J. Houghton,
  • Lin Xu

Journal volume & issue
Vol. 26, no. 11
p. 108171

Abstract

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Summary: Patient-derived xenografts (PDX) remain valuable models for understanding the biology and for developing novel therapeutics. To expand current PDX models of childhood leukemia, we have developed new PDX models from Hispanic patients, a subgroup with a poorer overall outcome. Of 117 primary leukemia samples obtained, successful engraftment and serial passage in mice were achieved in 82 samples (70%). Hispanic patient samples engrafted at a rate (51/73, 70%) that was similar to non-Hispanic patient samples (31/45, 70%). With a new algorithm to remove mouse contamination in multi-omics datasets including methylation data, we found PDX models faithfully reflected somatic mutations, copy-number alterations, RNA expression, gene fusions, whole-genome methylation patterns, and immunophenotypes found in primary tumor (PT) samples in the first 50 reported here. This cohort of characterized PDX childhood leukemias represents a valuable resource in that germline DNA sequencing has allowed the unambiguous determination of somatic mutations in both PT and PDX.

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