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showed excellent agreement with tissue analysis

[10]

,

while comparisons of commercially available tissue-based

and circulating tumor DNA assays have found low concor-

dance rates

[11]

. It is interesting that in this study the most

common genomic alteration identified in patients with

metastatic RCC was

TP53

, occurring in 35% of patients. This

is markedly higher than tissue-based analyses and may

reflect the selection of these clones or the detection of

unrelated background p53 mutations.

Moreover, the precision of the assay (the ability to detect

the same genomic alterations on repeat tests) is also not

known. In this study, only 17 patients had serial samples,

and these showed decreasing agreement with increasing

time between tests (illustrated in Supplementary Fig. 2 in

[6] )

. This could illustrate a new challenge: temporal genetic

heterogeneity. Analogous spatial heterogeneity is seen

when multiple locations within a primary tumor or

metastasis are sequenced, for which as many as five

biopsies are required for an 80% likelihood of identifying

80% of genetic mutations

[12]

. However, the loss of initially

detected genomic alterations in subsequent tests is difficult

to reconcile with this branched evolution model for

metastatic RCC, which would suggest that the number of

alterations increases with tumor progression

[8] .

2.

Does circulating tumor DNA detect tumor

evolution?

It is important to note that the circulating tumor DNA was

analyzed at one time point for the vast majority of patients.

As a result, it is not possible to know if the signature of

genomic alterations evolved while receiving therapy. The

total number of genomic alterations was not significantly

different when comparing patients receiving first-line

versus subsequent therapies. While several specific geno-

mic alterations (

TP53

,

p

= 0.02;

NF1

,

p

= 0.01) were more

common in patients receiving subsequent therapies, this

did not account for multiple comparisons, and may not be

reproducible in future studies.

3.

The future of precision oncology in RCC

Metastatic RCC, like all cancers, employs myriad strategies

to grow, invade, metastasize, and evade the host immune

response. These actions are orchestrated via a unique

genomic landscape, with several frequent mutations and a

long right tail of rare variants. The report by Pal et al

[6]

illustrates the potential of circulating tumor DNA in

evaluating an additional dimension of genomic diversity

to monitor therapeutic response, and suggests a future in

which a blood test can be used to help guide therapy.

While a single blood test to deliver precision oncology

would be remarkable, successful biomarker development

will probably require multiple emerging technologies and

complementary approaches. Building on this initial report

by Pal et al

[6]

, future efforts to optimize circulating tumor

DNA analysis using RCC-specific panels, or even panels

tailored to mutations identified at the time of surgery, will

further increase the sensitivity of these assays. Circulating

tumor DNA will require robust validation before routine

clinical use, but is a promising technology poised to help

overcome the challenges in applying precision oncology

to RCC.

Conflicts of interest:

The author has nothing to disclose.

References

[1]

Seizinger BR, Rouleau GA, Ozelius LJ, et al. Von Hippel-Lindau disease maps to the region of chromosome 3 associated with renal cell carcinoma. Nature 1988;332:268–9.

[2]

Brooks JD, Bova GS, Marshall FF, Isaacs WB. Tumor suppressor gene allelic loss in human renal cancers. J Urol 1993;150:1278–83.

[3]

The Cancer Genome Atlas Research Network. Comprehensive mo- lecular characterization of clear cell renal cell carcinoma. Nature 2013;499:43–9.

[4]

Kern SE. Why your new cancer biomarker may never work: recur- rent patterns and remarkable diversity in biomarker failures. Can- cer Res 2012;72:6097–101.

[5]

Hyman DM, Taylor BS, Baselga J. Implementing genome-driven oncology. Cell 2017;168:584–99.

[6]

Pal SK, Sonpavde G, Agarwal N, et al. Evolution of circulating tumor DNA profile from first-line to subsequent therapy in metastatic renal cell carcinoma. Eur Urol 2017;72:557–64.

[7]

Scelo G, Riazalhosseini Y, Greger L, et al. Variation in genomic landscape of clear cell renal cell carcinoma across Europe. Nat Commun 2014;5:5135.

[8]

Gerlinger M, Horswell S, Larkin J, et al. Genomic architecture and evolution of clear cell renal cell carcinomas defined by multiregion sequencing. Nat Genet 2014;46:225–33.

[9]

Nickerson ML, Jaeger E, Shi Y, et al. Improved identification of von Hippel-Lindau gene alterations in clear cell renal tumors. Clin Cancer Res 2008;14:4726–34.

[10]

Bettegowda C, Sausen M, Leary RJ, et al. Detection of circulating tumor DNA in early- and late-stage human malignancies. Sci Transl Med 2014;6:224ra24

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[11]

Weiss GJ, Hoff BR, Whitehead RP, et al. Evaluation and comparison of two commercially available targeted next-generation sequenc- ing platforms to assist oncology decision making. Onco Targets Ther 2015;8:959–67

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Morrissy AS, Cavalli FM, Remke M, et al. Spatial heterogeneity in medulloblastoma. Nat Genet 2017;49:780–8

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