Prevalence and landscape of actionable genomic alterations in renal cell carcinoma Journal Article


Authors: Attalla, K.; DiNatale, R. G.; Rappold, P. M.; Fong, C. J.; Sanchez-Vega, F.; Silagy, A. W.; Weng, S.; Coleman, J.; Lee, C. H.; Carlo, M. I.; Durack, J. C.; Solomon, S. B.; Reuter, V. E.; Russo, P.; Chan, T. A.; Motzer, R. J.; Schultz, N. D.; Reznik, E.; Voss, M. H.; Ari Hakimi, A.
Article Title: Prevalence and landscape of actionable genomic alterations in renal cell carcinoma
Abstract: Purpose: We report our experience with next-generation sequencing to characterize the landscape of actionable genomic alterations in renal cell carcinoma (RCC). Methods: A query of our institutional clinical sequencing database (MSK-IMPACT) was performed which included tumor samples from 38,468 individuals across all cancer types. Somatic variations were annotated using a precision knowledge database (OncoKB) and the available clinical data stratified by level of evidence. Alterations associated with response to immune-checkpoint blockade (ICB) were analyzed separately; these included DNA mismatch repair (MMR) gene alterations, tumor mutational burden (TMB) and microsatellite instability (MSI). Data from The Cancer Genome Atlas (TCGA) consortium as well as public data from several clinical trials in metastatic RCC were used for validation purposes. Multiregional sequencing data from the TRAcking Cancer Evolution through Therapy (TRACERx) RENAL cohort was used to assess the clonality of somatic mutations. Results: Of the 753 individuals with RCC identified in the MSK-IMPACT cohort, 115 showed evidence of targetable alterations, which represented a prevalence of 15.3% (95%CI 12.7 – 17.8%). When stratified by levels of evidence, the alterations identified corresponded to levels 2 (11.3%), 3A (5.2%), and 3B (83.5%). A low prevalence was recapitulated in the TCGA cohort at 9.1% (95%CI 6.9-11.2%). Copy-number variations predominated in papillary RCC tumors, largely due to amplifications in the MET gene. Notably, higher rates of actionability were found in individuals with metastatic disease (stage IV) compared to those with localized disease (OR 2.50, 95%CI 1.16 – 6.16, Fisher’s p=0.01). On the other hand, the prevalence of alterations associated with response to ICB therapy was found to be ~5% in both the MSK-IMPACT and TCGA cohorts and no associations with disease stage were identified (OR 1.35 [95%CI 0.46, 5.40], p=0.8). Finally, multiregional sequencing revealed that the vast majority of actionable mutations occurred later during tumor evolution and were only present subclonally in RCC tumors. Conclusions: RCC harbors a low prevalence of clinically actionable alterations compared to other tumors and the evidence supporting their clinical use is limited. These aberrations were found to be more common in advanced disease and seem to occur later during tumor evolution. Our study provides new insights on the role of targeted therapies for RCC and highlights the need for additional research to improve treatment selection using genomic profiling. © 2021 American Association for Cancer Research.
Keywords: renal cell carcinoma; tyrosine kinase inhibitors; cancer genomics; immune checkpoint blockade; poly(adp-ribose) polymerase inhibitors; actionable alteration; rapamycin analogs; targeted molecular therapy
Journal Title: Clinical Cancer Research
Volume: 27
Issue: 20
ISSN: 1078-0432
Publisher: American Association for Cancer Research  
Date Published: 2021-10-15
Start Page: 5595
End Page: 5606
Language: English
DOI: 10.1158/1078-0432.Ccr-20-4058
PUBMED: 34261695
PROVIDER: scopus
PMCID: PMC8530915
DOI/URL:
Notes: Article -- Source: Scopus
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MSK Authors
  1. Jonathan Coleman
    341 Coleman
  2. Timothy Chan
    317 Chan
  3. Paul Russo
    581 Russo
  4. Robert Motzer
    1243 Motzer
  5. Martin Henner Voss
    288 Voss
  6. Stephen Solomon
    422 Solomon
  7. Victor Reuter
    1224 Reuter
  8. Nikolaus D Schultz
    486 Schultz
  9. Jeremy Charles Durack
    116 Durack
  10. Abraham Ari Hakimi
    323 Hakimi
  11. Maria Isabel Carlo
    161 Carlo
  12. Eduard Reznik
    103 Reznik
  13. Chung-Han   Lee
    157 Lee
  14. Christopher Joseph Fong
    42 Fong
  15. Andrew William Silagy
    33 Silagy
  16. Kyrollis Attalla
    19 Attalla
  17. Stanley Weng
    11 Weng