Increased use of cross-sectional imaging for follow-up does not improve post-recurrence survival of surgically treated initially localized R.C.C.: results from a European multicenter database (R.E.C.U.R.)

Renal Cell Carcinoma in a Patient With Crossed Renal Ectopia: A Case Report

Crossed fused renal ectopia (CFRE) is a rare congenital anomaly in which a kidney is located on the opposite side from where its ureter connects to the bladder, merging into the other kidney. It has been linked to other rare congenital malformations, including the VACTERL association (vertebral anomalies, anal atresia, cardiac anomalies, tracheoesophageal fistula, esophageal atresia, renal anomalies, and limb abnormalities), the MURCS association (müllerian ducts, renal, and cervicothoracic spine anomalies), increased incidence of infections, obstruction, cystic dysplasia, and urolithiasis. Although the literature has documented only a small number of cases wherein CFRE coincides with neoplasia, we present the case of a 59-year-old patient with a right ectopic kidney fused to the left one and simultaneous primary renal cell carcinoma. We aim to report and discuss this case and the treatment approach, comparing it with existing literature to enhance our understanding and management of similar occurrences, as partial nephrectomy is uncommon due to the challenging anatomy of these cases.

Biomarkers for the Detection and Surveillance of Renal Cancer

Renal cell carcinoma (RCC) is a heterogeneous disease characterized by a broad spectrum of disorders in terms of genetics, molecular and clinical characteristics. There is an urgent need for noninvasive tools to stratify and select patients for treatment accurately. In this review, we analyze serum, urinary, and imaging biomarkers that have the potential to detect malignant tumors in patients with RCC. We discuss the characteristics of these numerous biomarkers and their ability to be used routinely in clinical practice. The development of biomarkers continues to evolve with promising prospects.

Local Treatment of Recurrent Renal Cell Carcinoma May Have a Significant Survival Effect Across All Risk-of-recurrence Groups

Background

Retrospective comparative studies suggest a survival benefit after complete local treatment of recurrence (LTR) in renal cell carcinoma (RCC), which may be largely due to an indication bias.

Objective

To determine the role of LTR in a homogeneous population characterised by limited and potentially resectable recurrence.

Design setting and participants

RECUR is a protocol-based multicentre European registry capturing patient and tumour characteristics, risk of recurrence (RoR), recurrence patterns, and survival of those curatively treated for nonmetastatic RCC from 2006 to 2011. Per-protocol resectable disease (RD) recurrence was defined as (1) solitary metastases, (2) oligometastases, or (3) renal fossa or renal recurrence after radical or partial nephrectomy, respectively.

Intervention

Local treatment of recurrence.

Outcome measurements and statistical analysis

Overall survival (OS) and cancer-specific survival was compared in the RD population that underwent LTR versus no LTR. We constructed a multivariate model to predict risk factors for overall mortality and analysed the effect of LTR across RoR groups.

Results and limitations

Of 3039 patients with localised RCC treated with curative intent, 505 presented with recurrence, including 176 with RD. Of these patients, 97 underwent LTR and 79 no LTR. Patients in the LTR group were younger (64.3 [40-80] vs 69.2 [45-87] yr; p = 0.001). The median OS was 70.3 mo (95% confidence interval [CI] 58-82.6) versus 27.4 mo (95% CI 23.6-31.15) in the LTR versus no-LTR group (p < 0.001). After a multivariate analysis, having LTR (hazard ratio [HR] 0.37 [95% CI 0.2-0.6]), having low- versus high-risk RoR (HR 0.42 [95% CI [0.20-0.83]), and not having extra-abdominal/thoracic metastasis (HR 1.96 [95% CI 1.02-3.77]) were prognostic factors of longer OS. The LTR effect on survival was consistent across risk groups. OS HR for high, intermediate, and low risks were 0.36 (0.2-0.64), 0.27 (0.11-0.65), and 0.26 (0.08-0.8), respectively. Limitations include retrospective design.

Conclusions

This is the first study assessing the effectiveness of LTR in RCC in a comparable population with RD. This study supports the role of LTR across all RoR groups.

Patient summary

We assessed the effectiveness of local treatment of resectable recurrent renal cell carcinoma after surgical treatment of the primary kidney tumour. Local treatment of recurrence was associated with longer survival across groups with a risk of recurrence.

GRade, Age, Nodes, and Tumor (GRANT) compared with Leibovich score to predict survival in localized renal cell carcinoma: A nationwide study

Objective

To examine the performance of Leibovich score versus GRade, Age, Nodes, and Tumor score in predicting disease recurrence in renal cell carcinoma.

Methods

In total, 7653 patients diagnosed with renal cell carcinoma from 2010 to 2018 were captured in the nationwide DaRenCa database; 2652 underwent radical or partial nephrectomy and had full datasets regarding the GRade, Age, Nodes, and Tumor score and Leibovich score. Discrimination was assessed with a Cox regression model. The results were evaluated with concordance index analysis.

Results

Median follow‐up was 40 months (interquartile range 24–56). Recurrence occurred in 17%, and 15% died. A significant proportion of patients (36%) had missing data for the calculation of the Leibovich score. Among 1957 clear cell renal cell carcinoma patients the distribution of GRade, Age, Nodes, and Tumor score of 0, 1, 2, or 3/4 was 21%, 56%, 21% and 1.4%, respectively, and for Leibovich score of low/intermediate/high this was 47%, 36% and 18%, respectively. A similar distribution was seen in 655 non‐clear cell patients. Both Leibovich and GRade, Age, Nodes, and Tumor scores performed well in predicting outcomes for the favorable patient risk groups. The Leibovich score was better at predicting recurrence‐free survival (concordance index 0.736 versus 0.643), but not overall survival (concordance index 0.657 versus 0.648). Similar results were obtained in non‐clear cell renal cell carcinoma.

Conclusion

GRade, Age, Nodes, and Tumor and Leibovich scores were validated in clear cell and non‐clear cell renal cell carcinoma. Leibovich score outperformed the GRade, Age, Nodes, and Tumor score in predicting recurrence‐free survival and should remain the standard approach to risk stratify patients during follow‐up when all data are available.

Standardized Incidence Rate, Risk and Survival Outcomes of Second Primary Malignancy Among Renal Cell Carcinoma Survivors: A Nested Case-Control Study

Purpose

Second primary malignancy (SPM) is challenging for treatment and long-term survival. We sought to investigate the standardized incidence rate (SIR), risk factors, and survival outcomes for SPM after renal cell carcinoma (RCC) treatment.

Method

A nested case-control study was designed, we identified all T1-4N0-1M0 RCC patients diagnosed between 2004 and 2015 in the Surveillance, Epidemiology, and End Results database and followed them for SPM diagnosis for up to 13 years. Patients with SPM diagnosis ≥6 months after treatment of primary T1-4N0-1M0 RCC were identified as the case cohort and SPM-free patients were the control cohort. SIRs and the excess risk were calculated. A competing risks and Cox model were used to evaluate the risk factors of SPM and overall survival (OS).

Results

A cohort of 6,204 RCC patients with SPM were matched with a control group of 31,020 RCC patients without SPM. The median time-to-SPM interval was 54.5 months in RCC patients with SPM diagnosis. Besides, an SPM of T3/4 or/and M1 stage diagnosis was positively associated with a longer time-to-SPM interval. SIR of SPM increased by follow-up time and decreased with age at diagnosis (P_{for all <}0.001). SPM in the kidney had the highest SIR (54.6, P <0.001) among all SPMs. Prostate cancer (29.8%) in males and breast cancer (23.5%) in females were the most common SPM. Older age, black ethnicity, male sex, higher family income, papillary RCC, and lower TNM stage were significant risk factors for SPM diagnosis. The proportion of deaths from SPM exceeds that of deaths from RCC 3 years after the first RCC treatment. Patients with SPM and early time-to-SPM interval shortens the OS compared with SPM-free patients. The 5-year OS was 85.9% and 58.9% from the first RCC and the SPM diagnosis, respectively. Besides, patients with low-grade/early-stage SPM could benefit from aggressive surgical treatment for solid tumors.

Conclusions

Collectively, our study described the epidemiological characteristics of SPM among RCC survivors and identified the independent predictors of the SPM diagnosis and its survival outcomes. This study highlights the importance of patient education and follow-up after the surgery for RCC.

Oncological Outcomes of Patients With Different Pathological Features of pT3a Renal Tumor: A Systematic Review and Quantitative Synthesis

Purpose

To identify the differences in oncological outcomes for patients with different pT3a renal tumor invasion patterns and pathological features.

Methods

The protocol of this study was registered on PROSPERO (CRD42021234475). Relevant studies were identified by searching the PubMed, Cochrane library, Embase, and Web of Science databases. Cancer-specific survival (CSS) was selected as the endpoint. Pooled hazard ratio (HR) and 95% confidence interval (CI) extracted from multivariate Cox models were evaluated to identify the hazard association.

Results

A total of 22 studies, which enrolled 12384 patients were included for quantitative synthesis. Sinus fat invasion (SFI) + perinephric fat invasion (PFI) was associated with inferior CSS compared to SFI only (p = 0.02). Comparable CSS was observed between SFI and PFI (p = 0.57). SFI ± PFI showed inferior CSS compared to PFI only (p = 0.0002). The presence of pelvicalyceal system invasion significantly increased the risk of cancer-specific mortality (p = 0.0005). Renal vein invasion (RVI) indicated poor oncological outcomes in terms of CSS (p = 0.002). The concomitant RVI and fat invasion (FI) significantly increased the risk of deterioration of CSS compared to RVI or FI (p < 0.0001). Multiple invasion patterns translated into a significantly decreased CSS (p < 0.0001). Aggressive tumor behavior, including lymph node involvement (p = 0.006), distant metastases (p < 0.00001), sarcomatoid differentiation (p < 0.0001), necrosis (p < 0.0001), Fuhrman grade III or IV (p < 0.0001), positive margin (p < 0.0001), and tumor size >7cm (p < 0.0001) were the predictors of inferior CSS. The lymphovascular invasion (p = 0.67) was indolent in terms of CSS.

Conclusion

This study confirmed the heterogenicity of pT3a renal tumors. Multiple invasion patterns could translate into a significantly decreased CSS, and SFI should not be merged in the SFI + PFI group. The presence of PSI or RVI could significantly increase the risk of cancer-specific mortality. Lymph node involvement, distant metastases, sarcomatoid differentiation, necrosis, high Fuhrman grade, positive margin, and size >7cm were the predictors of inferior CSS. A precise-risk grade of CSS for different invasion patterns including comprehensive combinations may be useful for the further refinements of the TNM system.

Systematic Review Registration

The current study was registered on PROSPERO, and the registration numbers is CRD42021234475.

Leibovich score is the optimal clinico-pathological system associated with recurrence of non-metastatic clear cell renal cell carcinoma

PURPOSE

To determine the optimal post-operative risk stratification system associated with survival following surgery for clear cell renal cell carcinoma (ccRCC): tumour grade, tumour stage, Leibovich 2003, Leibovich 2018, Kattan, Stage, size, grade and necrosis (SSIGN) or UCLA Integrated Staging System (UISS) scores.

METHODS

542 patients with non-metastatic ccRCC who underwent nephrectomy 2008-2018 were reviewed. Primary outcome was recurrence-free survival (RFS), with secondary outcomes cancer-specific survival (CSS) and overall survival (OS).

RESULTS

All systems were significantly associated with RFS, CSS and OS by Kaplan-Meier and unadjusted Cox-regression. ROC analysis identified that Leibovich 2003, Leibovich 2018A or B and SSIGN were optimally association with 5year RFS (AUC (Area under curve) 0.87, 0.86, 0.86 and 0.86), but Leibovich 2003 or 2018A offered additional information on adjusted regression analysis (HR 1.24, P = 0.02; HR 1.17, P = 0.04). ROC analysis identified that Leibovich 2018B, Leibovich 2003, SSIGN and UISS were equally associated with 5 year OS (AUC 0.76, 0.74, 0.73 and 0.72). UISS added additional explanation of the variance in OS on adjusted regression analysis (HR 1.96, P = 0.002). A novel combination of Leibovich 2003 score and Eastern Co-operative Oncology Group (ECOG) performance status improved 5 year OS association compared to the Leibovich 2003 alone (AUC 0.78, P = 0.001), without affecting association with 5year RFS (AUC 0.87, P = 0.75).

CONCLUSIONS

All systems were robust tools associated with RFS, CSS and OS in ccRCC. In our cohort, the Leibovich 2003 and Leibovich 2018A scores may be better associated with RFS compared to other strategies. The UISS, Leibovich 2018B or Leibovich 2003 combined with ECOG performance status may stratify OS better than other modalities.

Should patients with low-risk renal cell carcinoma be followed differently after nephron-sparing surgery vs radical nephrectomy?

OBJECTIVE

To investigate whether pT1 renal cell carcinoma (RCC) should be followed differently after partial (PN) or radical nephrectomy (RN) based on a retrospective analysis of a multicentre database (RECUR).

SUBJECTS

A retrospective study was conducted in 3380 patients treated for nonmetastatic RCC between January 2006 and December 2011 across 15 centres from 10 countries, as part of the RECUR database project. For patients with pT1 clear-cell RCC, patterns of recurrence were compared between RN and PN according to recurrence site. Univariate and multivariate models were used to evaluate the association between surgical approach and recurrence-free survival (RFS) and cancer-specific mortality (CSM).

RESULTS

From the database 1995 patients were identified as low-risk patients (pT1, pN0, pNx), of whom 1055 (52.9%) underwent PN. On multivariate analysis, features associated with worse RFS included tumour size (hazard ratio [HR] 1.32, 95% confidence interval [CI] 1.14-1.39; P < 0.001), nuclear grade (HR 2.31, 95% CI 1.73-3.08; P < 0.001), tumour necrosis (HR 1.5, 95% CI 1.03-2.3; P = 0.037), vascular invasion (HR 2.4, 95% CI 1.3-4.4; P = 0.005) and positive surgical margins (HR 4.4, 95% CI 2.3-8.5; P < 0.001). Kaplan-Meier analysis of CSM revealed that the survival of patients with recurrence after PN was significantly better than those with recurrence after RN (P = 0.02). While the above-mentioned risk factors were associated with prognosis, type of surgery alone was not an independent prognostic variable for RFS nor CSM. Limitations include the retrospective nature of the study.

CONCLUSION

Our results showed that follow-up protocols should not rely solely on stage and type of primary surgery. An optimized regimen should also include validated risk factors rather than type of surgery alone to select the best imaging method and to avoid unnecessary imaging. A follow-up of more than 3 years should be considered in patients with pT1 tumours after RN. A novel follow-up strategy is proposed.

Prevalence, Disease-free, and Overall Survival of Contemporary Patients With Renal Cell Carcinoma Eligible for Adjuvant Checkpoint Inhibitor Trials

INTRODUCTION

Designing adjuvant trials is challenging because of uncertainties of prevalence and outcome of high-risk renal cell cancer (RCC) despite use of validated risk scores. Our objective is to investigate how differences in eligibility criteria may impact on potential study results in RCC adjuvant trials.

PATIENTS AND METHODS

RECUR is a multicenter European database capturing patient and tumor characteristics, recurrence patterns, and survival of those curatively treated for non-metastatic RCC from 2006 to 2011 without any adjuvant therapy. We used RECUR to evaluate prevalence, disease-free survival (DFS), and overall survival (OS) according to eligibility criteria of immunotherapy-based adjuvant trials IMMotion 010 (NCT03024996), Checkmate 914 (NCT03138512), Keynote-564 (NCT03142334), RAMPART (NCT03288532), and PROSPER (NCT03055013).

RESULTS

Of 3024 relevant patients in RECUR, 408 (13.5%), 725 (24%), 609 (20.1%), 1363 (45.1%), and 1071 (35.4%) met eligibility criteria for IMMotion-010, CheckMate-914, Keynote-564, RAMPART, and PROSPER, respectively. The median and 5-year DFS Kaplan-Meier estimates in RECUR corresponding to each trial eligibility criteria were: not reached and 69.6% for RAMPART; not reached and 64.5% for PROSPER; 109.3 months (95% confidence interval [CI], 83.9-134.6 months) and 57% for CheckMate-914; 75.8 months (95% CI, 52.7-98.8 months) and 54.3% for Keynote-564; and 43.6 months (95% CI, 30.8-56.4 months) and 45% for IMMotion-010. Our analysis may be limited by the retrospective design.

CONCLUSIONS

RECUR provides estimated DFS and OS benchmarks for placebo arms of adjuvant checkpoint inhibitor studies and hence likely time to trial reporting. Well-documented contemporary registries rather than past risk models should be used to design future adjuvant trials.