Genomic landscape and evolution of metastatic chromophobe renal cell carcinoma Journal Article


Authors: Casuscelli, J.; Weinhold, N.; Gundem, G.; Wang, L.; Zabor, E. C.; Drill, E.; Wang, P. I.; Nanjangud, G. J.; Redzematovic, A.; Nargund, A. M.; Manley, B. J.; Arcila, M. E.; Donin, N. M.; Cheville, J. C.; Thompson, R. H.; Pantuck, A. J.; Russo, P.; Cheng, E. H.; Lee, W.; Tickoo, S. K.; Ostrovnaya, I.; Creighton, C. J.; Papaemmanuil, E.; Seshan, V. E.; Hakimi, A. A.; Hsieh, J. J.
Article Title: Genomic landscape and evolution of metastatic chromophobe renal cell carcinoma
Abstract: Chromophobe renal cell carcinoma (chRCC) typically shows similar to 7 chromosome losses (1, 2, 6, 10, 13, 17, and 21) and similar to 31 exonic somatic mutations, yet carries similar to 5%-10% metastatic incidence. Since extensive chromosomal losses can generate proteotoxic stress and compromise cellular proliferation, it is intriguing how chRCC, a tumor with extensive chromosome losses and a low number of somatic mutations, can develop lethal metastases. Genomic features distinguishing metastatic from nonmetastatic chRCC are unknown. An integrated approach, including whole-genome sequencing (WGS), targeted ultradeep cancer gene sequencing, and chromosome analyses (FACETS, OncoScan, and FISH), was performed on 79 chRCC patients including 38 metastatic (M-chRCC) cases. We demonstrate that TP53 mutations (58%), PTEN mutations (24%), and imbalanced chromosome duplication (ICD, duplication of >= 3 chromosomes) (25%) were enriched in M-chRCC. Reconstruction of the subclonal composition of paired primary-metastatic chRCC tumors supports the role of TP53, PTEN, and ICD in metastatic evolution. Finally, the presence of these 3 genomic features in primary tumors of both The Cancer Genome Atlas kidney chromophobe (KICH) (n = 64) and M-chRCC (n = 35) cohorts was associated with worse survival. In summary, our study provides genomic insights into the metastatic progression of chRCC and identifies TP53 mutations, PTEN mutations, and ICD as high-risk features.
Keywords: classification; therapy; surveillance; mutations; hybridization; cancer genome; heterogeneity; copy number; tool; clonal evolution
Journal Title: JCI Insight
Volume: 2
Issue: 12
ISSN: 2379-3708
Publisher: Amer Soc Clinical Investigation Inc  
Date Published: 2017-06-15
Start Page: e92688
Language: English
ACCESSION: WOS:000403495200006
DOI: 10.1172/jci.insight.92688
PROVIDER: wos
PMCID: PMC5470887
PUBMED: 28614790
Notes: Article -- Source: Wos
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MSK Authors
  1. Venkatraman Ennapadam Seshan
    382 Seshan
  2. Paul Russo
    581 Russo
  3. Satish K Tickoo
    478 Tickoo
  4. Emily Craig Zabor
    172 Zabor
  5. Lu Wang
    147 Wang
  6. Emily H Cheng
    78 Cheng
  7. Amrita Mohan Nargund
    12 Nargund
  8. Maria Eugenia Arcila
    657 Arcila
  9. William Lee
    39 Lee
  10. Abraham Ari Hakimi
    323 Hakimi
  11. Esther Naomi Drill
    93 Drill
  12. Patricia Ibai Wang
    12 Wang
  13. Brandon John Manley
    24 Manley
  14. Gunes Gundem
    56 Gundem