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A key distinction in the TCGA RCC cohort is that the

specimen is from a primary nephrectomy and only 16.6% of

patients were noted to have Stage IV disease with the

majority being Stage I/II resected cancers

[10] .

The ctDNA

cohort is composed only of advanced cancer patients, some

who had multiple lines of chemotherapy prior to testing.

Our study supports the notion that patients with advanced

disease may be genomically distinct. There are also

reports that ctDNA testing may detect important genomic

alterations, particularly in the resistance setting, that are

missed with a small tissue biopsy

[14,15]

. In the TCGA

cohort, the frequency of

TP53

alteration was less than 3%

while, in contrast, the cumulative rate of mutation in our

series was 35%

[16]

. For patients receiving postfirst-line

therapies, the rate of mutation was considerably higher

(25% vs 49%). In patients with localized RCC, upregulation of

p53 has been associated with poor disease-specific survival

[17]

. Recent reports have suggested a complex interplay

between p53 and VHL that drives sensitivity to agents such

as sunitinib; defects in p53 therefore provide a plausible

explanation for VEGF-directed therapy resistance

[18]

.

Beyond

TP53

, other GAs noted more frequently in

postfirst-line patients appear to provide biological rationale

for agents currently used in the salvage setting. For

example,

NF1

and

PIK3CA

encode key regulators of the

mTOR signaling pathway

[19] .

A recent study including

exceptional responders to everolimus across a wide variety

of malignancies suggested that

NF1

and

PIK3CA

mutations

(along with

TSC1/2

and

MTOR

mutations) occurred at a

higher frequency

[20] .

In two phase 3 studies including

patients with metastatic breast cancer, mutations in

PIK3CA

were associated with improved progression-free survival

with everolimus therapy

[21]

. Beyond specific alterations,

the increase in GA frequency between first-line and

postfirst-line patients may bear clinical relevance. Increas-

ing mutational burden and neoantigen formation have been

[(Fig._3)TD$FIG]

Fig. 3 – Frequency of selected genomic alterations (GAs) according to histology.

ALL = acute lymphoblastic leukemia.

[(Fig._4)TD$FIG]

Fig. 4 – Notable differences in genomic alteration (GA) frequency in

patients documented as receiving first-line therapy versus postfirst-line

therapy (

p

values were as follows:

TP53

:

p

= 0.02;

NF1

:

p

= 0.01;

VH

L:

p

= 0.26;

EGFR

:

p

= 0.6;

PIK3CA

:

p

= 0.3).

E U R O P E A N U R O L O G Y 7 2 ( 2 0 1 7 ) 5 5 7 – 5 6 4

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