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resistance to therapy are a priority. There are no

clinically validated biomarkers, but a number of

candidates have been identified, including loss-of-

function mutations in

VHL

and

TSC1

; differences in

host genetics such as single nucleotide polymorphisms

in

VEGF

,

HIV-1

a

, and

IL-8

; mutations in the tumor

suppressor genes

BAP-1

and

SETD-2

; and a composite

score of circulating biomarkers such as IL-18

[

[18_TD$DIFF]

24–

[19_TD$DIFF]

27] .

4 Development and evaluation of new immunothera-

pies for the treatment of kidney cancer, including

immune biomarkers of patient and tumor character-

istics and response.

Immune-oncology (IO) is an exciting new field that

includes checkpoint inhibitors and immune modulators,

cancer vaccines, adoptive cell therapy, monoclonal

antibodies, and cytokines

[

[20_TD$DIFF]

20,24,26] .

Novel IO combina-

tions and sequences with tyrosine kinase inhibitors (IO-

TKI) have the potential to improve outcomes. Results

from ongoing and future trials will help to inform future

strategies. The newly approved but expensive check-

point inhibitor nivolumab, with improved overall

survival

[

[21_TD$DIFF]

25,26]

, is being studied in combination with

cabozantinib,

a new small-molecule TKI

(NCT02496208), and ipilimumab, a CTLA4 inhibitor

(NCT02231749). One-third of patients derive no benefit

from PD-1–directed therapy, so we need a biomarker to

avoid ineffective treatment. PD-L1 immunohistochem-

istry may not be reliable

[

[22_TD$DIFF]

19–

[23_TD$DIFF]

23,28–

[24_TD$DIFF]

33]

.

5 Identification and validation of novel indicators or

biomarkers that can be used to predict the develop-

ment and progression of metastatic kidney cancer.

See above.

6 Assessment of supportive care needs and appropriate

supportive care interventions for patients with

kidney cancer and their families

.

This and the next priority might not have been

identified by expert clinicians alone, despite studies

documenting unmet informational and supportive care

needs and suggesting that the treatment of kidney

cancer can impact negatively on physical and psycho-

social functioning

[

[25_TD$DIFF]

14,34–

[26_TD$DIFF]

36] .

Supportive care inter-

ventions have the potential to improve patient

outcomes

[

[27_TD$DIFF]

37]

.

7 Development of decision-making tools for patients

and health care providers to help in guiding

treatment decisions in all stages of kidney cancer.

Decision aids compared to usual care improve

engagement in decision-making, knowledge of options,

and accurate risk perceptions, and reduce decisional

conflict related to feeling uninformed and unclear about

personal values

[

[28_TD$DIFF]

38]

. No decision aids have been

developed or evaluated in kidney cancer

[

[29_TD$DIFF]

39–

[30_TD$DIFF]

41]

. Patients face a range of complex decisions regarding

surgical alternatives for early-stage cancer or second- or

third-line treatments for metastatic disease. Informa-

tion is frequently presented in inaccessible, academic

formats. Often there is no ‘‘best’’ treatment choice, but

rather a personal decision that incorporates individual

values and preferences. Aids could be developed for

decisions on cytoreductive nephrectomy for newly

diagnosed metastatic disease and on management for

small renal masses (SRMs)

[36,38–

[2_TD$DIFF]

43] .

8 Defining the role and criteria for using biopsy in the

management of kidney cancer.

Owing to concerns regarding overtreatment of SRMs,

renal tumor biopsy (RTB) has been proposed for

identification of benign SRMs to decrease unnecessary

surgical procedures and possibly delay intervention for

cancers considered to have low metastatic potential

[

[3_TD$DIFF]

44–

[4_TD$DIFF]

46]

. There is renewed interest in RTB for assessing

pretreatment tumor histology in metastatic RCC in

order to individualize and personalize therapy

[

[5_TD$DIFF]

47]

. The

role of RTB will almost certainly expand to facilitate

personalization of care

[

[6_TD$DIFF]

48,49]

.

9 Evaluation of the impact of differences in regional

funding and access to treatment on patient outcomes

in kidney cancer.

Timely access to quality care and new agents is a

common concern in many countries. There is also

documented variation in practice patterns, whereby

rural residents are less likely to undergo partial

nephrectomy compared to their urban counterparts

[

[7_TD$DIFF]

50]

. Odisho et al

[

[8_TD$DIFF]

51]

also found that direct access to a

urologist resulted in a 8–14% reduction in kidney cancer

mortality when compared to patients who have to travel

[

[8_TD$DIFF]

51]

. Future research is needed so that improvement

strategies can be implemented

[

[9_TD$DIFF]

52] .

10 Identification of risk factors and cause(s) of kidney

cancer.

Like other cancers, the etiology and risk (and

protective) factors of kidney cancer are not completely

understood. The increase in the incidence of RCC and

other kidney tumors may be in part due to rises in

hypertension and obesity

[

[10_TD$DIFF]

53] .

Lifestyle and health

behaviors such as physical activity, smoking, and alcohol

consumption may also play a role

[

[11_TD$DIFF]

54] .

There is also

interest in the role of genetics in the pathogenesis of RCC

[

[12_TD$DIFF]

55]

. While rare, personalized approaches to the care of

mutation carriers can be implemented

[

[13_TD$DIFF]

56] ;

other more

common genetic variants and their interaction with

environmental exposures may influence RCC risk in

nonheritable forms. To date, the majority of studies have

been based on genome-wide association studies, but

results have been mixed

[

[14_TD$DIFF]

57,58] .

Advances in next-

generation sequencing will allow more comprehensive

evaluations of common genetic variations

[

[11_TD$DIFF]

54]

.

While these top ten uncertainties and resulting research

priorities should not be the sole drivers of the research

agenda, we believe that they should receive careful

consideration by funders and researchers alike. Each of the

E U R O P E A N U R O L O G Y 7 2 ( 2 0 1 7 ) 8 6 1 – 8 6 4

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