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J Cancer 2017; 8(18):3725-3732. doi:10.7150/jca.21189 This issue Cite

Research Paper

R.E.N.A.L. Nephrometry Score: A Preoperative Risk Factor Predicting the Fuhrman Grade of Clear-Cell Renal Carcinoma

Shao-Hao Chen^*, Yu-Peng Wu^*, Xiao-Dong Li^*, Tian Lin, Qing-Yong Guo, Ye-Hui Chen, Jin-Bei Huang, Yong Wei, Xue-Yi Xue, Qing-Shui Zheng , Ning Xu

Department of Urology, First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China
* These three authors contributed equally to this work.

✉ Corresponding author: Qing-Shui Zheng and Ning Xu, Department of Urology, the First Affiliated Hospital of Fujian Medical University, 20 Chazhong Road, Fuzhou 350005, China. Tel.: +86-059187981687; E-mail address: zhengqingshuiedu.cn (Qing-Shui Zheng) drxunedu.cn (Ning Xu) More

Abstract

Objective: The purpose of this study was to evaluate the efficacy and feasibility of the R.E.N.A.L. Nephrometry Score to postoperatively predict high-grade clear-cell renal carcinoma (ccRCC).

Methods: The study included 288 patients diagnosed with ccRCC who had complete CT/CTA data and R.E.N.A.L. Nephrometry Scores and underwent renal surgery at our center between January 2012 and December 2015. The relationship between the pathological grade of renal masses and R.E.N.A.L. Nephrometry Score was evaluated.

Results: Univariate analysis indicated that diagnostic modality, cystic necrosis, enlargement of the regional lymph node, distant metastasis, clinical T stage, TNM stage, surgical modality, tumor size, nearness of the tumor to the collecting system or sinus, total Nephrometry Score and individual anatomic descriptor components were significantly associated with postoperative tumor grade (P < 0.05). Multivariate analysis showed that tumor size, the maximal diameter (R score), exophytic/endophytic properties (E score) and the location relative to the polar lines (L score) were independent prognostic factors to preoperatively predicting ccRCC pathological grade. The areas under the ROC curve with respect to the multi-parameter regression model (0.935, 95%CI: 0.904-0.966), tumor size (0.901, 95%CI: 0.866-0.937), R score (0.868, 95%CI: 0.825-0.911), E score (0.511, 95%CI: 0.442-0.581) and L score (0.842, 95%CI: 0.791-0.892) were calculated and compared.

Conclusion: Tumor size, as well as R, E, and L scores were independent prognostic factors for high-grade pathology. Lager tumor sizes and higher R, E and L scores were more likely to be associated with high-grade pathological outcomes. Thus, the R.E.N.A.L. Score is of practical significance in facilitating urologists to make therapeutic decisions.

Keywords: Clear-cell renal carcinoma, fuhrman grade, the R.E.N.A.L score, predicting.

Introduction

Fuhrman grades are the most commonly used histologic grade for renal carcinoma [1]. For patients with clear-cell renal cell carcinoma (ccRCC), Fuhrman grades of I-II are associated with better prognosis, and nephron sparing surgery can be performed safely and with minimal morbidity in these patients. However, ccRCC patients with Fuhrman grades of III-IV are associated with poor prognosis and high morbidity [2, 3]. Scosyrev et al. reported that nephron-sparing surgery was correlated with reduced overall survival (OS) compared with radical nephrectomy (RN) (hazard ratio: 1.50; 95% confidence interval (CI), 1.03-2.16) [4]. Patients with higher ccRCC stages who underwent partial nephrectomy (PN) were associated with worse clinicopathological outcomes [5]. Van et al. also reported that PN seems to be significantly less effective than RN with respect to OS [6]. Meanwhile, Leibovich et al. reported that patients who underwent RN were less likely to have recurrence compared with those underwent PN [7]. Additionally, Larcher et al. showed that PN did not improve other-cause survival relative to RN consistently in all renal carcinoma patients [8]. Fuhrman grade III-IV is treated as an independent predictor of late recurrence 5 years after surgery in RCC patients [9]. Thus, PN use should be more selective, and Fuhrman grade should be considered by urologists when making therapeutic decisions [10]. For the sake of good therapeutic efficacy, it is of grave importance and practical significance to accurately predict the pathological stage of renal masses upon diagnosis.

The standardized nephrometry scoring system, R.E.N.A.L. Nephrometry Score, was established by Alexander et al. to quantify the anatomical characteristics of renal masses on computerized tomography (CT)/magnetic resonance imaging and is widely used around the world [11]. The purpose of this study was to explore the relationship between the pathological grade of renal masses and the R.E.N.A.L. Nephrometry Score. The practical significance of R.E.N.A.L. Nephrometry Score in predicting pathological grade of renal masses was further evaluated.

Materials and Methods

Study population

Our study was approved by the Ethical Committee and Institutional Review Board of the First Affiliated Hospital of Fujian Medical University. This study enrolled 288 ccRCC patients with complete CT/CTA data who underwent renal surgery at our center between January 2012 and December 2015. Renal surgery consisted of nephron sparing surgery and RN. Only unilateral, unifocal, and pathologically confirmed ccRCCs were included. Unilateral multifocal tumors, bilateral multifocal tumors, cystic renal tumors, local or distant metastasis tumors and polycystic kidney disease were excluded. Additionally, patients who underwent biopsy of renal masses prior to surgery were also excluded. Patients with ccRCC that was discovered by physical examination were considered the asymptomatic group. Patients with hematuria, flank pain or abdominal masses were classified as the symptomatic group. RCC stage was assigned by surgical pathology based on the American Joint Committee on Cancer (AJCC) 2010 TNM classification. Fuhrman grade I and II were classified as low Fuhrman grade (LFG), and Fuhrman grade III and IV were classified as high Fuhrman grade (HFG) [3, 12].

Statistical analysis

Radiographic features of the renal masses were evaluated and scored using the R.E.N.A.L. Nephrometry Score. Each component of Nephrometry was compared with the histology and grade of resected renal masses to validate whether radiographic features of renal masses could predict renal tumor pathology [12]. Imaging characteristics of all cases were evaluated by two residents at our center using the R.E.N.A.L scoring system. Disagreements were resolved by a third attending urologist. Demographic features, radiographic characteristics of the renal masses prior to surgery, surgical modalities, clinical and pathological stage, total Nephrometry Score and individual anatomic descriptor components were also summarized. The relationship between pathological grade and clinicopathological characteristics mentioned above were evaluated. Statistical analysis was conducted using SPSS 18.0 (SPSS Inc., Chicago, IL, USA). The chi-square test was used to compare qualitative variables; other comparisons were made using appropriate statistical tests. Student's t test was performed to compare continuous variables. Multivariable logistic regression was performed to determine predictors of the postoperative pathological grade of renal masses, and receiver operating characteristic curves (ROC) were further constructed. P < 0.05 was considered statistically significant for all tests [13].

Results

The demographic, clinical, and pathological information of all cases are presented in Table 1. Total Nephrometry Score and individual anatomic descriptor components of ccRCC are presented in Figure 1 and Figure 2. Diagnostic modality, tumor size, nearness of the tumor to the collecting system or sinus, CT that showed cystic necrosis, CT that showed enlargement of regional lymph node, distant metastasis, surgical modality, total Nephrometry Score and individual anatomic descriptor components significantly differed between the HFG and LFG groups (Tables 1 and 2; P < 0.05). Further multivariable logistic regression demonstrated that maximal diameter (R), exophytic/endophytic properties (E), and the location relative to the polar lines (L) were significantly associated with preoperative ccRCC pathological grade (Table 3). R was significantly correlated with the HFG group, tumors with R scores of 2 points showed 11.59-fold higher risk for HFG postoperatively than those with R scores of 1 point. Additionally, R scores of 3 points showed 17.56-fold higher risk for HFG postoperatively than those with R scores of 2 points. E scores of 2 points showed 5.10-fold higher risk for HFG postoperatively than those with E scores of 1 point. L scores of 3 points showed 26.85-fold higher risk for HFG postoperatively than those with L scores of 1 point (Table 4; P < 0.05).

 Figure 1 

Distribution of individual anatomic descriptor components of the Nephrometry Score and renal hilar invasion in clear-cell renal carcinoma patients.

 Figure 2 

Distribution of the total R.E.N.A.L. Nephrometry Score of clear-cell renal carcinoma patients.

Next, ROC curves were constructed, and the areas under the ROC (AUC) with respect to the multi parameter regression model (0.935, 95%CI: 0.904-0.966), tumor size (0.901, 95%CI: 0.866-0.937), R score (0.868, 95%CI: 0.825-0.911), E score (0.511, 95%CI: 0.442-0.581) and L score (0.842, 95%CI: 0.791-0.892) were calculated and compared (Table 5). This showed that the multivariable models are of a practical significance in predicting HFG based on the shape of the ROC curves and the AUC.

Discussion

Radiographic imaging represents the cornerstone of pre-surgical diagnosis. However, it is difficult to preoperatively predict pathological grade via image testing. In nearly 70%-80% of renal mass biopsies the grading was well defined; however, the rate of consistency between histological biopsies and postoperative findings can be lower than 46% for pathological grade [14, 15]. Wunderlich [16] et al. reported that 15% of cases could not be correctly graded according to the final pathological results. The rates of biopsies that underestimated the nuclear grade were higher than 55% [17]. Additionally, rare complications often accompany solid renal mass biopsies, such as pneumothorax and bleeding. Furthermore, biopsies may facilitate tumor seeding along the needle tract [18]. Tumor grading is of vital importance for therapeutic decisions and prognostic evaluations [19]. Thus, it is difficult to find an effective model to preoperatively predict the pathological grade of renal masses.

Whether the R.E.N.A.L. Nephrometry scoring system can predict malignant and high pathological grade small renal masses remains controversial. Osawa et al. [20] demonstrated that although R.E.N.A.L. Nephrometry Scores were useful for discriminating benign versus malignant renal tumors and low- versus high-grade renal masses, they were outperformed by renal mass biopsy. Furthermore, Antonelli et al. [21] showed that R.E.N.A.L. Nephrometry Scores cannot accurately predict malignancy or the aggressiveness of renal masses; the estimated area under the ROC curve for high-grade prediction was 0.57. Decision curve analysis also confirmed a poor clinical benefit for using R.E.N.A.L. Nephrometry Scores to predict aggressiveness. However, Kutikov et al. [12] revealed that Nephrometry Scores could be used to quantitate the preoperative likelihood of malignant and high histological grade renal masses, and Wang et al. [22] demonstrated that R.E.N.A.L. Nephrometry Scores could be used to predict high-grade renal cell carcinoma. The predictive value of Nephrometry Scores to discriminate high-grade renal cell carcinoma was also confirmed in an independent cohort.

This study demonstrates that there is a relationship between preoperative radiographic features and final pathological outcomes [23-25]. The individual anatomic descriptor components of Nephrometry Score and pathological grade of ccRCC were analyzed. This demonstrated that the largest tumor diameter, radius, exophytic/endophytic properties, and the location relative to the polar lines were independent prognostic factors for postoperatively predicting HFG.

This study demonstrated that larger tumor size was associated with a higher possibility of higher postoperative pathological grade. Multivariable logistic regression analysis indicated that the largest tumor diameter was an independent predictive factor for ccRCC pathological grade. Jeldres et al. [26] used data from 11 European tertiary care centers and determined that 91.5% of patients with renal masses 2 cm or less did not have HFG components. Frank et al. [27] demonstrated similar outcomes from the Mayo clinic, reporting that 90.8% of patients with small renal masses (2 cm or less) did not have HFG elements. It has been shown that as tumor size increases, there is a significantly greater probability of high- versus low-grade disease [28-30]. This study also demonstrated that larger tumor size was associated with a higher possibility of higher postoperative pathological grade. Multivariable logistic regression analysis indicated that the largest tumor diameter was an independent predictive factor for ccRCC pathological grade.

 Figure 3 

ROC curves were constructed using a multi-parameter regression model, R score, tumor size, E score and L score.

E and L scores were also independent predictive factors for high-grade disease. Among ccRCCs with exophytic/endophytic properties below 50%, endophytic tumors tended to be classified as HFG, while exophytic tumors tended to be classified as LFG. In this study, L score equals to 3 points was more likely to be classified as HFG than those that scored 1 point, which indicated that location relative to the polar lines was associated with higher pathological grade. Some studies have revealed a strong relationship between R.E.N.A.L. Nephrometry Scores and high-grade features. For example, Kutikov et al. [12] compared individual components of the R.E.N.A.L. Nephrometry Score with grade in 525 resected tumors. Consistent with our study, their results demonstrated that R score (p < 0.0001), E score (p = 0.041) and L score (p = 0.002) were strongly associated with high-grade histology. Venkatesh et al. [24] demonstrated that the fraction of tumors with high Fuhrman grades was only 3.7% among exophytic malignancies compared with 25% of endophytic renal masses, while 96% of highly exophytic malignant tumors were low-grade carcinomas. Shim et al. [31] demonstrated that hilar location, which is defined as abutting the main renal artery and/or vein or its segmental branches, was associated with higher grade renal masses compared with non-hilar location. Previous studies [12, 23, 31] have indicated that the location of renal masses is associated with histological subtype. It has also been reported that a high percentage of endophytic tumors were of clear cell histology [32, 33].

The mechanisms of how E and L scores are related to high Fuhrman grades have not been elucidated. Tumors that invaded the collecting system were associated with higher Fuhrman grade and reduced survival, which has been validated by previous studies. The renal sinus and collection systems are more likely to be invaded by renal tumors, which leads to L scores of 3 points [23, 32]. The renal sinus is composed of numerous small thin-walled venous channels and lymphatics, and there is no capsule separating the renal parenchyma from the renal sinus. We hypothesize that higher E and L scores are more likely to be observed in high grade tumors that involve the renal sinus and exhibit venous invasion. The abundant blood supply and oxygen may facilitate tumor colonization and growth, which may contribute to tumor aggressiveness [34]. This may be a potential mechanism of how higher E and L scores correlate with high-grade renal tumors.

Overall, this study uncovered that the accuracy of prediction was 0.935 using multivariable logistic regression via ROC curves, which indicated that larger tumor size, location relative to the polar lines and endophytic tumors were more likely to be classified as HFG. This is of great practical importance for preoperatively predicting ccRCC grade. Using these data, the R.E.N.A.L. Nephrometry Score was developed with the aim of predicting the Fuhrman grade of ccRCC before intervention. R.E.N.A.L. Nephrometry Scores can accurately discriminate patients with high or low Fuhrman grades, which will help urologists choose appropriate therapies for patients.

Conclusion

This study demonstrated that larger tumors, location relative to the polar lines and endophytic tumors were more likely to be classified as higher Fuhrman grade. The R.E.N.A.L. Nephrometry Score represents a novel tool that can help urologists preoperatively predict the Fuhrman grade of renal masses and make therapeutic decisions. However, well designed randomized controlled trials are needed to make comparable results.

Competing Interests

The authors have declared that no competing interest exists.

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Author contact

Corresponding author: Qing-Shui Zheng and Ning Xu, Department of Urology, the First Affiliated Hospital of Fujian Medical University, 20 Chazhong Road, Fuzhou 350005, China. Tel.: +86-059187981687; E-mail address: zhengqingshuiedu.cn (Qing-Shui Zheng) drxunedu.cn (Ning Xu)

Received 2017-5-26
Accepted 2017-8-19
Published 2017-10-17

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