4.8 Article

A renal cell carcinoma tumorgraft platform to advance precision medicine

期刊

CELL REPORTS
卷 37, 期 8, 页码 -

出版社

CELL PRESS
DOI: 10.1016/j.celrep.2021.110055

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资金

  1. American Cancer Society Research Scholar grant [115739]
  2. National Institutes of Health [P50CA196516]
  3. Genentech/Roche
  4. NCI Outstanding Investigator Award [R35CA22044901]
  5. UTSW Tissue Resource and Small Animal Imaging Resource [P30CA142543]
  6. Cyclotron and Radiochemistry Program
  7. Cancer Prevention and Research Institute of Texas (CPRIT) [RP170638, RP110771]
  8. Burroughs Wellcome Fund
  9. FSEOM/Fundacion Cris Contra el Cancer
  10. Robert W. Parkey, M.D. Distin-guished Professorship in Radiology, I.P. [R01CA154475]
  11. Ruth L. Kirschstein National Research Service Award [T32 CA136515-09]
  12. Physician Scientist Training Program
  13. CPRIT [RP150596]
  14. Jan and Bob Pickens Distinguished Professorship in Medical Science
  15. Brock Fund for Medi-cal Science Chair in Pathology

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By orthotopically implanting tumor samples from ethnically diverse individuals into mice, a resource of 172 independently derived, stably engrafted TG lines has been generated. These lines are characterized histologically and genomically, helping to advance understanding of RCC biology.
Renal cell carcinoma (RCC) encompasses a heterogenous group of tumors, but representative preclinical models are lacking. We previously showed that patient-derived tumorgraft (TG) models recapitulate the biology and treatment responsiveness. Through systematic orthotopic implantation of tumor samples from 926 ethnically diverse individuals into non-obese diabetic (NOD)/severe combined immunodeficiency (SCID) mice, we generate a resource comprising 172 independently derived, stably engrafted TG lines from 148 individuals. TG lines are characterized histologically and genomically (whole-exome [n = 97] and RNA [n = 102] sequencing). The platform features a variety of histological and oncogenotypes, including TCGA clades further corroborated through orthogonal metabolomic analyses. We illustrate how it enables a deeper understanding of RCC biology; enables the development of tissue-and imaging-based molecular probes; and supports advances in drug development.

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