Journal
EUROPEAN UROLOGY
Volume 73, Issue 1, Pages 71-78Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.eururo.2017.05.033
Keywords
Genomic profiling; Mutational burden; Papillary renal cell carcinoma
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Background: Papillary renal cell carcinoma (PRCC) is a rare subset of RCC. The Cancer Genome Atlas (TCGA) data largely reflect localized disease, and there are limited data for advanced PRCC. Objective: To characterize the frequency of genomic alterations (GAs) in patients with advanced PRCC for whom comprehensive genomic profiling (CGP) was performed in the context of routine clinical care. Design, setting, and participants: Formalin-fixed, paraffin-embedded tissue was obtained for 169 consecutive patients with confirmed PRCC. DNA was extracted and comprehensive genomic profiling was performed in a certified central laboratory. Measurements: Hybrid-capture, adaptor ligation-based libraries of up to 315 genes were sequenced to a median coverage of 648x. All classes of GAs were identified, including substitutions, insertions/deletions, copy number alterations, and rearrangements. Results and limitations: From 169 patients, either primary tumor tissue (102 patients, 60%) or metastatic tissue (67 patients, 40%) was collected. In patients with type 1 PRCC, commonly altered genes were MET (33%; 8 activating mutations, 5 amplifications at > 6 copies), TERT (30%), CDKN2A/B (13%), and EGFR (8%). In patients with type 2 PRCC, commonly altered genes were CDKN2A/B (18%), TERT (18%), NF2 (13%), and FH (13%); MET GAs (5 mutations, 3 amplifications) were observed in 7% of type 2 cases. Notable differences from TCGA data include higher frequencies of MET, NF2, and CDKN2A/B GAs, association of alterations in SWI/SNF complex genes with type 2 PRCC, and observation of frequent CDKN2A/B alterations in both type 1 and type 2 disease. Conclusions: Both the current study and the TCGA experience represent similarly sized cohorts of patients with PRCC. Key differences in GA frequency probably underscore the marked difference in stage distribution between these data sets. These results may inform planned precision medicine trials for metastatic PRCC. (C) 2017 European Association of Urology. Published by Elsevier B.V. All rights reserved.
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