Table of Contents Table of Contents
Previous Page  671 692 Next Page
Information
Show Menu
Previous Page 671 692 Next Page
Page Background

4.

Discussion

We report an update of the SSIGN score using the original

RN cohort with longer follow-up and in new cohorts of

contemporarily managed patients treated with RN and PN.

We found that the SSIGN score retained its predictive

accuracy in the originally characterized patients with longer

follow-up and after accounting for competing risks of non-

RCC death. We also confirmed that despite significant

differences in clinical features and an era-specific improve-

ment in survival, that for contemporary ccRCC patients, the

SSIGN score is a valid predictive tool for death from RCC.

Our results are similar to the prior experience with the

SSIGN score. In the original description, the C-index assessing

the ability of SSIGN score to predict death fromRCCwas 0.84,

similar to the findings for all three cohorts described here

despite differences in clinical features

[1] .

In addition, our

findings confirm those of the subsequent validations of the

SSIGN score

[6–8] .

Notably, the third and largest validation of

the SSIGN score was performed using routine pathology and

found similar findings as our results

[8] .

Although our findings are corroborated by prior valida-

tions, several important differences should be considered.

First, the original cohort has matured such that 39% of

patients were alive at 10 yr of follow-up compared with only

26% in the original description and 14.4–29.3% in the

validation cohorts

[6–8] .

Second, we included a separate

analysis of patients managed with PN, as opposed to

considering them with RN patients, and confirmed the

predictive capacity of the SSIGN score for these patients.

Certainly the SSIGN score validation studies included

nephron-sparing surgery; however, they represented the

minority of cases, and the performance of the SSIGN score for

those patients was not considered separately

[6–8]

. Our

subset assessment of the SSIGN score in PN patients is

underscored by the association of PN with superior survival

in two validation studies

[6,7]

. Finally, we included an

analysis of the competing risk of non-RCC death, which given

the long postsurgical survival of most RCC patients is an

important analysis that has to our knowledge not been

reported. The results of these competing risk analysesmodify

the estimated CSS, adjusting for an overestimation of the risk

of RCC death, and therefore may serve to improve patient

counseling.

We found that after controlling for SSIGN score, survival

was improved in the contemporary RN patients compared

with the originally described cohort. Although there has been

an established stage migration in RCC

[16] ,

which could

explain any apparent survival improvement for all patients

considered together, our finding of improved survival among

contemporary patients when controlling for SSIGN score and

among M0 and M1 patients suggests that stage migration

alonemay not explain this result. Our resultsmay be partially

explained by era of treatment, given the findings from

Surveillance, Epidemiology, and End Results analyses,

whereby treatment in the targeted-therapy era was inde-

pendently associated with improved survival after control-

ling for stage

[17,23] .

Notably, when PROG scores

[24]

were

assigned to the M0 original and contemporary RN patients,

era of treatment was not associated with a reduced risk of

metastasis during follow-up (Supplementary Table 2). Taken

together with our finding that contemporary management

was associated with a reduction in the risk of death fromRCC

among M0 patients after controlling for SSIGN, this would

suggest that improvements in survival may be a function of

patient treatment after developing metastatic disease.

As previously mentioned, the SSIGN score is increasingly

being utilized to assess the effect of new biomarkers on

survival in RCC. Hakimi and colleagues evaluated the effect of

the MET rs11762213 single nucleotide polymorphism in

272 patients in The Cancer Genome Atlas, and after adjusting

for SSIGN score, they found an increased risk of death from

RCC

[10]

. In addition, BAP1, a deubiquitinating enzyme

whose loss is associated with inferior CSS survival

[25,26]

,

was further characterized at our institution. Using the

SSIGN score to adjust for clinical features, BAP1 was found

only to be associated with inferior survival when restricted

to lower risk patients (SSIGN score 3)

[12] .

Conversely,

the BioScore, a composite of B7-H1, survivin, and Ki-67

expression, was found to be informative toward survival

only in patients with intermediate and high SSIGN scores

(

>

3)

[27]

. Together, these findings demonstrate that the

SSIGN score is not only useful as a continuous adjustment,

but also for revealing the complex interaction between

biomarkers and the clinical features associated with

survival. Therefore, the continued evaluation and valida-

tion of the SSIGN score is of utmost importance in assuring

that these biomarker studies, and other ongoing research,

retain their clinical significance.

Despite the findings reported by these biomarker

studies, the predictive capacity of existing models such as

SSIGN must be considered. Specifically, the SSIGN score is

often grouped into three categories, which results in a loss

of granularity as demonstrated by a reduction in the

reported C

-

index for SSIGN alone, and thus an apparent

incremental gain in the C-index when combined with new

biomarkers

[28,29]

, which may not exceed that of the SSIGN

when used as described.

As previously outlined, we noted an era-specific improve-

ment in survival. Despite this finding, the SSIGN score

retained the predictive capacity for RCC-specific death with

excellent discrimination (C-index 0.84 and 0.82 in contem-

porary RN and PN patients, respectively) as originally

described and using the originally assigned point values.

Taken together with our desire not to invalidate existing

reports utilizing the SSIGN score and the excellent perfor-

mance of the model as originally described, we did not

attempt to incorporate new variables or adjust the assigned

point values.

Certain limitations with this work warrant further

discussion. First, these results are obtained from a retrospec-

tive review of our Nephrectomy Registry and are subject to

the many inherent biases associated with this approach.

Although outcomes in our registry are collected prospec-

tively, it is likely that a small number of recurrences or

RCC-related deaths were not captured. In addition, this

investigation includes patients managed 40 yr ago,

and significant advances have been made in imaging,

E U R O P E A N U R O L O G Y 7 1 ( 2 0 1 7 ) 6 6 5 – 6 7 3

671