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of patients in our series had CGP performed on primary

tumor tissue. Temporally, the genomic profile for a patient

at the time of primary tumor collection may be distinct

from the profile at the onset of metastatic disease,

although the oncogenic drivers are preserved from

primary to metastasis, as seen in multiple studies in

different tumors

[38,39]

. A recent report assessing

circulating tumor DNA from 224 patients with advanced

RCC noted an increase in selected alterations (

TP53, VHL,

NF1, EGFR

, and

PIK3CA

) from first- to second-line therapy

[40] .

Notably, however, only a small minority of the study

patients had PRCC.

5.

Conclusions

The data set reported here represents the largest to date in

characterizing patients with PRCC using CGP. In contrast to

the TCGA experience, our cohort primarily comprised

patients with advanced disease, with

>

80% characterized

as stage III or IV. The most prevalent alterations in our series

(including

MET, CKDN2A/B

, and SWI/SNF pathway altera-

tions) could be linked to targeted therapies currently being

explored in the clinic, and other selected alterations (such as

NF1

) may identify patients who are predisposed to benefit

from existing VEGF- and mTOR-directed therapies. Recent

studies exploring VEGF- and mTOR-directed therapies in

unselected patients with metastatic PRCC have produced

modest results

[41,42]

. Use of CGP and the development of a

personalized approach for advanced PRCC may be a highly

promising approach.

Author contributions

: Sumanta K. Pal had full access to all the data in the

study and takes responsibility for the integrity of the data and the accuracy

of the data analysis.

Study concept and design:

Pal, Ali, Karam, Choueiri, Chung, Stephens, Ross,

Miller.

Acquisition of data:

Pal, Yakirevich, Geynisman, Huang, Agarwal, Shuch,

Choueiri, Chung.

Analysis and interpretation of data:

Pal, Ali, Elvin, Frampton, Lin,

Rosenzweig, Lipson, Stephens.

Drafting of the manuscript:

Pal, Ali, Karam, Choueiri, Chung.

Critical revision of the manuscript for important intellectual content:

Pal, Ali,

Karam, Choueiri, Chung.

Statistical analysis:

Pal, Ali, Karam, Choueiri, Chung.

Obtaining funding:

None.

Administrative, technical, or material support:

None.

Supervision:

Pal, Ali, Karam, Stephens, Ross, Miller, Agarwal, Choueiri,

Chung.

Other:

None.

Financial disclosures:

Sumanta K. Pal certifies that all conflicts of

interest, including specific financial interests and relationships and

affiliations relevant to the subject matter or materials discussed in the

manuscript (eg, employment/affiliation, grants or funding, consultan-

cies, honoraria, stock ownership or options, expert testimony, royalties,

or patents filed, received, or pending), are the following: Siraj M. Ali, Julia

A. Elvin, Garrett M. Frampton, Mark Rosenzweig, Doron Lipson, Philip J.

Stephens, Jeffrey S. Ross, Vincent A. Miller, and Jon H. Chung are

employees of and hold equity interest in Foundation Medicine.

Funding/Support and role of the sponsor

: None.

Appendix A. Supplementary data

Supplementary data associated with this article can be

found, in the online version, at

http://dx.doi.org/10.1016/j. eururo.2017.05.033

.

References

[1]

The Cancer Genome Atlas Network. Comprehensive molecular characterization of papillary renal-cell carcinoma. N Engl J Med 2015;374:135–45.

[2]

Pal SK, Nelson RA, Vogelzang N. Disease-specific survival in de novo metastatic renal cell carcinoma in the cytokine and targeted thera- py era. PloS One 2013;8:e63341

.

[3]

Choueiri TK, Motzer RJ. Systemic therapy for metastatic renal-cell carcinoma. N Engl J Med 2017;376:354–66

.

[4]

Motzer RJ, Hutson TE, Cella D, et al. Pazopanib versus sunitinib in metastatic renal-cell carcinoma. N Engl J Med 2013;369:722–31

.

[5]

Motzer RJ, Hutson TE, Tomczak P, et al. Sunitinib versus interferon alfa in metastatic renal-cell carcinoma. N Engl J Med 2007;356:115–24.

[6]

Sternberg CN, Davis ID, Mardiak J, et al. Pazopanib in locally advanced or metastatic renal cell carcinoma: results of a random- ized phase III trial. J Clin Oncol 2010;28:1061–8.

[7]

Tannir NM, Plimack E, Ng C, et al. A phase 2 trial of sunitinib in patients with advanced non–clear cell renal cell carcinoma. Eur Urol 2012;62:1013–9

.

[8]

Ravaud A, Oudard S, Fromont MD, et al. First line sunitinib in type I and II papillary renal cell carcinoma (PRCC): SUPAP—a phase II study of the French Genito-Urinary Group (GETUG) and the Group of Early Phase Trials (GEP). Ann Oncol 2012;23:707PD

.

[9]

Tannir NM, Jonasch E, Albiges L, et al. Everolimus versus sunitinib prospective evaluation in metastatic non-clear cell renal cell carci- noma (ESPN): a randomized multicenter phase 2 trial. Eur Urol 2016;69:866–74

.

[10]

KimWY, Kaelin WG. Role of VHL gene mutation in human cancer. J Clin Oncol 2004;22:4991–5004.

[11]

Ross JS, Wang K, Gay LM, et al. A high frequency of activating extracellular domain ERBB2 (HER2) mutation in micropapillary urothelial carcinoma. Clin Cancer Res 2014;20:68–75.

[12]

Frampton GM, Fichtenholtz A, Otto GA, et al. Development and validation of a clinical cancer genomic profiling test based on massively parallel DNA sequencing. Nat Biotechnol 2013;31: 1023–31.

[13]

Amin MB, Corless CL, Renshaw AA, Tickoo SK, Kubus J, Schultz DS. Papillary (chromophil) renal cell carcinoma: histomorphologic characteristics and evaluation of conventional pathologic prognos- tic parameters in 62 cases. Am J Surg Pathol 1997;21:621–35.

[14]

Chmielecki J, Bailey M, He J, et al. Genomic profiling of a large set of diverse pediatric cancers identifies known and novel mutations across tumor spectra. Cancer Res 2017;77:509–19

.

[15]

Hartmaier RJ, Albacker LA, Chmielecki J, et al. High-throughput genomic profiling of adult solid tumors reveals novel insights into cancer pathogenesis. Cancer Res 2017;77:2464–75.

[16]

Cerami E, Gao J, Dogrusoz U, et al. The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. Cancer Discov 2012;2:401–4

.

[17]

Tomlinson IP, Alam NA, Rowan AJ, et al. Germline mutations in FH predispose to dominantly inherited uterine fibroids, skin leio- myomata and papillary renal cell cancer. Nat Genet 2002;30: 406–10

.

[18]

Drilon A, Cappuzzo F, Ou SI, Camidge DR. Targeting MET in lung cancer: will expectations finally be MET? J Thorac Oncol 2017;12:15–26

.

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