Modeling biological and genetic diversity in upper tract urothelial carcinoma with patient derived xenografts Journal Article


Authors: Kim, K.; Hu, W.; Audenet, F.; Almassi, N.; Hanrahan, A. J.; Murray, K.; Bagrodia, A.; Wong, N.; Clinton, T. N.; Dason, S.; Mohan, V.; Jebiwott, S.; Nagar, K.; Gao, J.; Penson, A.; Hughes, C.; Gordon, B.; Chen, Z.; Dong, Y.; Watson, P. A.; Alvim, R.; Elzein, A.; Gao, S. P.; Cocco, E.; Santin, A. D.; Ostrovnaya, I.; Hsieh, J. J.; Sagi, I.; Pietzak, E. J.; Hakimi, A. A.; Rosenberg, J. E.; Iyer, G.; Vargas, H. A.; Scaltriti, M.; Al-Ahmadie, H.; Solit, D. B.; Coleman, J. A.
Article Title: Modeling biological and genetic diversity in upper tract urothelial carcinoma with patient derived xenografts
Abstract: Treatment paradigms for patients with upper tract urothelial carcinoma (UTUC) are typically extrapolated from studies of bladder cancer despite their distinct clinical and molecular characteristics. The advancement of UTUC research is hampered by the lack of disease-specific models. Here, we report the establishment of patient derived xenograft (PDX) and cell line models that reflect the genomic and biological heterogeneity of the human disease. Models demonstrate high genomic concordance with the corresponding patient tumors, with invasive tumors more likely to successfully engraft. Treatment of PDX models with chemotherapy recapitulates responses observed in patients. Analysis of a HER2 S310F-mutant PDX suggests that an antibody drug conjugate targeting HER2 would have superior efficacy versus selective HER2 kinase inhibitors. In sum, the biological and phenotypic concordance between patient and PDXs suggest that these models could facilitate studies of intrinsic and acquired resistance and the development of personalized medicine strategies for UTUC patients. © 2020, The Author(s).
Keywords: protein kinase b; cancer chemotherapy; clinical article; controlled study; aged; unclassified drug; somatic mutation; clinical trial; histopathology; cisplatin; nonhuman; gemcitabine; chemotherapy; animal tissue; carboplatin; metastasis; multiple cycle treatment; tumor volume; epidermal growth factor receptor 2; animal experiment; animal model; genetic variability; genetic variation; tumor biopsy; tumor xenograft; fibroblast growth factor receptor 3; protein p53; histology; carcinogenesis; cell heterogeneity; rna; oncogene; tumor suppressor gene; dimethyl sulfoxide; biological activity; ischemia; western blotting; phosphatidylinositol 3,4,5 trisphosphate 3 phosphatase; carcinogenicity; immunoblotting; genomics; recurrent disease; liver resection; cell count; cyclin dependent kinase inhibitor 2a; tumor growth; cytokeratin 14; cytokeratin 5; tumor; hermes antigen; genetic screening; drug sensitivity; transitional cell carcinoma; transcriptome; antibody; model; neratinib; rna sequence; tumor engraftment; immunocompromised patient; phylogeny; modeling; tumor microenvironment; drug; cyclin dependent kinase inhibitor 2b; germline mutation; cyclic amp responsive element binding protein binding protein; estimated glomerular filtration rate; cell component; cancer; human; male; female; article; cytokeratin 6b; rna sequencing; whole exome sequencing; positron emission tomography-computed tomography; dna mismatch repair protein msh2; trastuzumab deruxtecan; 2 tert butylquinone; at rich interaction domain 1a; bone marrow stromal antigen 2; cytokeratin 6a; ginsenoside rb 1; lysine demethylase 6a; lysine methyltransferase 2d; harmonics generation; photon microscopy
Journal Title: Nature Communications
Volume: 11
ISSN: 2041-1723
Publisher: Nature Publishing Group  
Date Published: 2020-04-24
Start Page: 1975
Language: English
DOI: 10.1038/s41467-020-15885-7
PUBMED: 32332851
PROVIDER: scopus
PMCID: PMC7181640
DOI/URL:
Notes: Article -- Export Date: 1 June 2020 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Jonathan Coleman
    349 Coleman
  2. David Solit
    781 Solit
  3. Gopakumar Vasudeva Iyer
    352 Iyer
  4. Yiyu Dong
    26 Dong
  5. Wenhuo Hu
    60 Hu
  6. Philip A Watson
    26 Watson
  7. Sizhi Gao
    47 Gao
  8. Jianjiong Gao
    132 Gao
  9. Jonathan Eric Rosenberg
    520 Rosenberg
  10. Abraham Ari Hakimi
    327 Hakimi
  11. Maurizio Scaltriti
    170 Scaltriti
  12. Katie S Murray
    16 Murray
  13. Kwanghee   Kim
    44 Kim
  14. Alexander Vincent Penson
    54 Penson
  15. Eugene J Pietzak
    117 Pietzak
  16. Emiliano Cocco
    31 Cocco
  17. Francois Jean Marie Audenet
    16 Audenet
  18. Shawn Dason
    15 Dason
  19. Nima Almassi
    26 Almassi
  20. Ricardo Goncalves Alvim
    26 Alvim
  21. Karan K Nagar
    14 Nagar
  22. Christopher Hughes
    4 Hughes
  23. Nathan Colin Wong
    25 Wong
  24. Timothy Nguyen Clinton
    19 Clinton
  25. Benjamin Gordon
    2 Gordon
  26. Ziyu Chen
    11 Chen
  27. Arijh Elzein
    3 Elzein