Open versus robotic partial nephrectomy in obese patients: a multi-institutional propensity score-matched analysis (UroCCR 43-Robese study)

INTRODUCTION

There is limited evidence on the outcomes of robotic partial nephrectomy (RPN) and open partial nephrectomy (OPN) in obese patients (BMI ≥ 30 kg/m2). In this study, we aimed to compare perioperative and oncological outcomes of RPN and OPN.

METHODS

We relied on data from patients who underwent PN from 2009 to 2017 at 16 departments of urology participating in the UroCCR network, which were collected prospectively. In an effort to adjust for potential confounders, a propensity-score matching was performed. Perioperative outcomes were compared between OPN and RPN patients. Disease-free survival (DFS) and overall survival (OS) were estimated using the Kaplan-Meier method and compared using the log-rank test.

RESULTS

Overall, 1277 obese patients (932 robotic and 345 open were included. After propensity score matching, 166 OPN and 166 RPN individuals were considered for the study purposes; no statistically significant difference among baseline demographic or tumor-specific characteristics was present. A higher overall complication rate and major complications rate were recorded in the OPN group (37 vs. 25%, p = 0.01 and 21 vs. 10%, p = 0.007; respectively). The length of stay was also significantly longer in the OPN group, before and after propensity-score matching (p < 0.001). There were no significant differences in Warm ischemia time (p = 0.66), absolute change in eGFR (p = 0.45) and positive surgical margins (p = 0.12). At a median postoperative follow-up period of 24 (8-40) months, DFS and OS were similar in the two groups (all p > 0.05).

CONCLUSIONS

In this study, RPN was associated with better perioperative outcomes (improvement of major complications rate and LOS) than OPN. The oncological outcomes were found to be similar between the two approaches.

The Impact of Histological Variants on Oncological Outcomes After Surgical Resection of a Nonmetastatic Renal Cell Carcinoma with Tumor Thrombus: A Multi-institutional Study

Background

There is no definitive evidence of the prognosis impact of histological variants (HVs) in patients who undergo surgical resection of a nonmetastatic renal cell carcinoma (nm-RCC) with venous tumor thrombus (TT).

Objective

To investigate the impact of HVs on the prognosis of patients with nm-RCC with TT after radical surgery.

Design setting and participants

Patients who underwent radical nephrectomy with the removal of the venous TT for an nm-RCC were included in a retrospective study.

Outcome measurements and statistical analysis

Three groups were identified: clear cell (ccRCC), papillary (pRCC), and chromophobe (chRCC) RCC. The primary outcome measures (disease-free and overall survival [OS]) were assessed using the Kaplan-Meier method and compared using the log-rank test. Univariate and multivariate Cox proportional hazard models were used to study the impact of HVs on survival.

Results and limitations

A total of 873 patients were included. The histological subtypes were distributed as follows: ccRCC in 780 cases, pRCC in 58 cases, and chRCC in 35 cases. At the time of data analysis, 612 patients were recurrence free and 228 had died. A survival analysis revealed significant differences in both OS and recurrence-free survival across histological subtypes, with the poorest outcomes observed in pRCC patients (p < 0.05). In a multivariable analysis, pRCC was independently associated with worse disease-free survival and OS (hazard ratio [HR]: 1.71; p = 0.01 and HR: 1.24; p = 0.04), while chRCC was associated with more favorable outcomes than ccRCC (HR: 0.05; p < 0.001 and HR: 0.02; p < 0.001). A limitation of the study is its retrospective nature.

Conclusions

In this multicentric series, HVs appeared to impact the medium-term oncological prognosis of kidney cancer with TT.

Patient summary

This study investigated the differences in oncological outcomes among histological variants (clear cell, papillary, and chromophobe) in a cohort of nonmetastatic renal cell carcinoma patients with venous tumor thrombus extension. We observed that these histological variants within this specific subgroup exhibit distinct outcomes, with papillary renal cell carcinoma being associated with the worst prognosis.

Robotic YV plasty outcomes for bladder neck contracture vs. vesico-urethral anastomotic stricture

PURPOSE

To compare the outcomes of patients undergoing robotic YV plasty for bladder neck contracture (BNC) vs. vesico-urethral anastomotic stricture (VUAS).

METHODS

A retrospective study included male patients who underwent robotic YV plasty for BNC after endoscopic treatment of BPH or VUAS between August 2019 and March 2023 at a single academic center. The primary assessed was the patency rate at 1 month post-YV plasty and during the last follow-up visit.

RESULTS

A total of 21 patients were analyzed, comprising 6 in the VUAS group and 15 in the BNC group. Patients with VUAS had significantly longer operative times (277.5 vs. 146.7 min; p = 0.008) and hospital stay (3.2 vs. 1.7 days; p = 0.03). Postoperative complications were more common in the VUAS group (66.7% vs. 26.7%; p = 0.14). All patients resumed spontaneous voiding postoperatively. Five patients (23.8%) who developed de novo stress urinary incontinence had already an AUS (n = 1) or required concomitant AUS implantation (n = 3), all of whom were in the VUAS group (83.3% vs. 0%; p < 0.0001). The proportion of patients improved was similar in both groups (PGII = 1 or 2: 83.3% vs. 80%; p = 0.31). Stricture recurrence occurred in 9.5% of patients in the whole cohort, with no significant difference between the groups (p = 0.50). Long-term reoperation was required in three VUAS patients, showing a statistically significant difference between the groups (p = 0.05).

CONCLUSION

Robotic YV plasty is feasible for both VUAS and BNC. While functional outcomes and stricture-free survival may be similar for both conditions, the perioperative outcomes were less favorable for VUAS patients.

UroPredict: Machine learning model on real-world data for prediction of kidney cancer recurrence (UroCCR-120)

Renal cell carcinoma (RCC) is most often diagnosed at a localized stage, where surgery is the standard of care. Existing prognostic scores provide moderate predictive performance, leading to challenges in establishing follow-up recommendations after surgery and in selecting patients who could benefit from adjuvant therapy. In this study, we developed a model for individual postoperative disease-free survival (DFS) prediction using machine learning (ML) on real-world prospective data. Using the French kidney cancer research network database, UroCCR, we analyzed a cohort of surgically treated RCC patients. Participating sites were randomly assigned to either the training or testing cohort, and several ML models were trained on the training dataset. The predictive performance of the best ML model was then evaluated on the test dataset and compared with the usual risk scores. In total, 3372 patients were included, with a median follow-up of 30 months. The best results in predicting DFS were achieved using Cox PH models that included 24 variables, resulting in an iAUC of 0.81 [IC95% 0.77-0.85]. The ML model surpassed the predictive performance of the most commonly used risk scores while handling incomplete data in predictors. Lastly, patients were stratified into four prognostic groups with good discrimination (iAUC = 0.79 [IC95% 0.74-0.83]). Our study suggests that applying ML to real-world prospective data from patients undergoing surgery for localized or locally advanced RCC can provide accurate individual DFS prediction, outperforming traditional prognostic scores.

Prognostic Significance of Grade Discrepancy Between Primary Tumor and Venous Thrombus in Nonmetastatic Clear-cell Renal Cell Carcinoma: Analysis of the REMEMBER Registry and Implications for Adjuvant Therapy

BACKGROUND

Further stratification of the risk of recurrence of clear-cell renal cell carcinoma (ccRCC) with venous tumor thrombus (VTT) will facilitate selection of candidates for adjuvant therapy.

OBJECTIVE

To assess the impact of tumor grade discrepancy (GD) between the primary tumor (PT) and VTT in nonmetastatic ccRCC on disease-free survival (DFS), overall survival (OS), and cancer-specific survival (CSS).

DESIGN, SETTING, AND PARTICIPANTS

This was a retrospective analysis of a multi-institutional nationwide data set for patients with pT3N0M0 ccRCC who underwent radical nephrectomy and thrombectomy.

OUTCOMES MEASUREMENTS AND STATISTICAL ANALYSIS

Pathology slides were centrally reviewed. GD, a bidirectional variable (upgrading or downgrading), was numerically defined as the VTT grade minus the PT grade. Multivariable models were built to predict DFS, OS, and CSS.

RESULTS AND LIMITATIONS

We analyzed data for 604 patients with median follow-up of 42 mo (excluding events). Tumor GD between VTT and PT was observed for 47% (285/604) of the patients and was an independent risk factor with incremental value in predicting the outcomes of interest (all p < 0.05). Incorporation of tumor GD significantly improved the performance of the ECOG-ACRIN 2805 (ASSURE) model. A GD-based model (PT grade, GD, pT stage, PT sarcomatoid features, fat invasion, and VTT consistency) had a c index of 0.72 for DFS. The hazard ratios were 8.0 for GD = +2 (p < 0.001), 1.9 for GD = +1 (p < 0.001), 0.57 for GD = -1 (p = 0.001), and 0.22 for GD = -2 (p = 0.003) versus GD = 0 as the reference. According to model-converted risk scores, DFS, OS, and CSS significantly differed between subgroups with low, intermediate, and high risk (all p < 0.001).

CONCLUSIONS

Routine reporting of VTT upgrading or downgrading in relation to the PT and use of our GD-based nomograms can facilitate more informed treatment decisions by tailoring strategies to an individual patient's risk of progression.

PATIENT SUMMARY

We developed a tool to improve patient counseling and guide decision-making on other therapies in addition to surgery for patients with the clear-cell type of kidney cancer and tumor invasion of a vein.

Updated systematic review and network meta-analysis of first-line treatments for metastatic renal cell carcinoma with extended follow-up data

Immune checkpoint inhibitor (ICI)-based combination therapies are the recommended first-line treatment for metastatic renal cell carcinoma (mRCC). However, no head-to-head phase-3 randomized controlled trials (RCTs) have compared the efficacy of different ICI-based combination therapies. Here, we compared the efficacy of various first-line ICI-based combination therapies in patients with mRCC using updated survival data from phase-3 RCTs. Three databases were searched in June 2023 for RCTs that analyzed oncologic outcomes in mRCC patients treated with ICI-based combination therapies as first-line treatment. A network meta-analysis compared outcomes including overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and complete response (CR) rate. Subgroup analyses were based on the International mRCC Database Consortium risk classification. The treatment ranking analysis of the entire cohort showed that nivolumab + cabozantinib (81%) had the highest likelihood of improving OS, followed by nivolumab + ipilimumab (75%); pembrolizumab + lenvatinib had the highest likelihood of improving PFS (99%), ORR (97%), and CR (86%). These results remained valid even when the analysis was limited to patients with intermediate/poor risk, except that nivolumab + ipilimumab had the highest likelihood of achieving CR (100%). Further, OS benefits of ICI doublets were not inferior to those of ICI + tyrosine kinase inhibitor combinations. Recommendation of combination therapies with ICIs and/or tyrosine kinase inhibitors based on survival benefits and patient pretreatment risk classification will help advance personalized medicine for mRCC.

Clinical Application of Digital and Computational Pathology in Renal Cell Carcinoma: A Systematic Review

CONTEXT

Computational pathology is a new interdisciplinary field that combines traditional pathology with modern technologies such as digital imaging and machine learning to better understand the diagnosis, prognosis, and natural history of many diseases.

OBJECTIVE

To provide an overview of digital and computational pathology and its current and potential applications in renal cell carcinoma (RCC).

EVIDENCE ACQUISITION

A systematic review of the English-language literature was conducted using the PubMed, Web of Science, and Scopus databases in December 2022 according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (PROSPERO ID: CRD42023389282). Risk of bias was assessed according to the Prediction Model Study Risk of Bias Assessment Tool.

EVIDENCE SYNTHESIS

In total, 20 articles were included in the review. All the studies used a retrospective design, and all digital pathology techniques were implemented retrospectively. The studies were classified according to their primary objective: detection, tumor characterization, and patient outcome. Regarding the transition to clinical practice, several studies showed promising potential. However, none presented a comprehensive assessment of clinical utility and implementation. Notably, there was substantial heterogeneity for both the strategies used for model building and the performance metrics reported.

CONCLUSIONS

This review highlights the vast potential of digital and computational pathology for the detection, classification, and assessment of oncological outcomes in RCC. Preliminary work in this field has yielded promising results. However, these models have not yet reached a stage where they can be integrated into routine clinical practice.

PATIENT SUMMARY

Computational pathology combines traditional pathology and technologies such as digital imaging and artificial intelligence to improve diagnosis of disease and identify prognostic factors and new biomarkers. The number of studies exploring its potential in kidney cancer is rapidly increasing. However, despite the surge in research activity, computational pathology is not yet ready for widespread routine use.

Nephrectomy for kidney tumour increases the risk of de novo arterial hypertension

OBJECTIVE

To evaluate prospectively the effects of surgical excision of renal tumours on blood pressure (BP).

PATIENTS AND METHODS

In a multicentre prospective study, we evaluated 200 patients who underwent nephrectomy for renal tumour between 2018 and 2020 at seven departments of the French Network for Kidney Cancer, the UroCCR. All patients had localized cancer without pre-existing hypertension (HTN). Blood pressure was measured the week before nephrectomy, and at 1 month and 6 months after nephrectomy, according to the recommendations for home BP monitoring. Plasma renin was measured 1 week before surgery and 6 months after surgery. The primary endpoint was the occurrence of de novo HTN. The secondary endpoint was clinically significant increase in BP at 6 months, defined by an increase in systolic and/or diastolic ambulatory BP ≥10 mmHg or requirement for medical antihypertensive treatment.

RESULTS

Blood pressure and renin measurements were available for 182 (91%) and 136 patients (68%), respectively. We excluded from the analysis 18 patients who had undeclared HTN detected on preoperative measurements. At 6 months, 31 patients (19.2%) had de novo HTN and 43 patients (26.3%) had a significant increase in their BP. Type of surgery was not associated with an increased risk of HTN (21.7% partial nephrectomy [PN] vs 15.7% radical nephrectomy [RN]; P = 0.59). There was no difference between plasmatic renin levels before and after surgery (18.5 vs 16; P = 0.46). In multivariable analysis, age (odds ratio [OR] 1.07, 95% confidence interval [CI] 1.02-1.12; P = 0.03) and body mass index (OR 1.14, 95% CI 1.03-1.26; P = 0.01) were the only predictors of de novo HTN.

CONCLUSION

Surgical treatment of renal tumours is associated with significant changes in BP, with de novo HTN occurring in almost 20% of the patients. These changes are not impacted by the type of surgery (PN vs RN). Patients who are scheduled to undergo kidney cancer surgery should be informed of these findings and have their BP closely monitored after the operation.

Can Simplified PADUA Renal (SPARE) Nephrometry scoring system help predict renal function outcomes after robot-assisted partial nephrectomy? (UroCCR study 93)

BACKGROUND

The SPARE Nephrometry Score (NS) is described as easier to implement than the RENAL and PADUA NSs, currently more widely used. Our objective was to compare the accuracy of SPARE NS in predicting renal function outcomes following RAPN.

METHODS

A multicentric retrospective study was conducted using French kidney cancer network (UroCCR, NCT03293563) database. All patients included had RAPN for cT1 renal tumors between May 2010 and March 2021. SPARE was compared to RENAL, PADUA and Tumor Size to predict postoperative acute kidney injury (AKI), chronic kidney disease (CKD) upstaging, de novo CKD at 3-6 months follow-up and Trifecta failure. The ability of the different NSs and tumor size to predict renal function outcomes was evaluated using uni- and multivariate logistic regression models.

RESULTS

According to our study criteria, 1171 patients were included. Mean preoperative tumor size and estimated glomerular filtration rate (eGFR) were 3.4±1.4 cm and 85.8 mL/min/1.73 m2. In total, 266 (22.7%), 87 (7.4%), 94 (8%), and 624 (53.3%) patients had AKI, de novo CKD, CKD upstaging, and Trifecta failure, respectively. In multivariate analysis, all three NSs and tumor size were independent predictors of AKI, CKD de novo, CKD upgrade and Trifecta failure. There was no significant difference between all three NS and tumor sizes in predicting renal function outcomes.

CONCLUSIONS

SPARE Score seems to be a valid alternative to predict renal function outcomes after RAPN. Nevertheless, in our study, tumor size was as accurate as NSs in predicting postoperative outcomes and, therefore, seems to be the logical choice for surgical decisions.

[Secondary tumors localized in testis]

Testis tumors are uncommon in oncology, and testicular metastasis from distant solid tumors are even rarer. We present two cases encountered in our department of pathology in CHU de Rennes, France. Moreover, we collected all reported cases in the Medline/PubMed databases of non-hematopoietic secondary testis tumors in adults, excluding autopsy studies, to propose an integrative study on this topic. In total, we report 98 cases of secondary testis lesions to prostate (n=38, 38.77 %), colorectal (n=19, 19.39%), gastric (n=12, 12.24%), kidney (n=7, 7.14%), lung (n=6, 6.12%) and other primary cancers. The median age at diagnosis was 66.5 years. We identified significantly more prostate adenocarcinoma (P<0.0001) when the primary tumor was known and significantly more colorectal adenocarcinoma (P=0.035) and pancreatic adenocarcinoma (P=0.002) when the primary tumor was unknown. The age at diagnosis was older when the primary tumor was known (P=0.007). We present the challenges for the diagnosis and propose some elements for diagnosis orientation. Finally, we discuss the possible ways of metastatic dissemination from primary site to testis, as illustrated by the two cases we present.

Clinical trial protocol for P-NeLoP: a randomized controlled trial comparing the feasibility and outcomes of robot-assisted partial nephrectomy with low insufflation pressure using AirSeal versus standard insufflation pressure (UroCCR no. 85 study)

Robot-assisted partial nephrectomy (RAPN) is the standard of care for small, localized kidney tumors. This surgery is conducted within a short hospital stay and can even be performed as outpatient surgery in selected patients. In order to allow early rehabilitation of patients, an optimal control of postoperative pain is necessary. High-pressure pneumoperitoneum during surgery seems to be the source of significant pain during the first hours postoperatively. Our study is a prospective, randomized, multicenter, controlled study which aims to compare post-operative pain at 24 h between patients undergoing RAPN at low insufflation pressure (7 mmHg) and those operated on at standard pressure (12 mmHg) using the AirSeal system.This trial is registered in the US National Library of Medicine Trial Registry (NCT number: NCT05404685).

Deep Learning Methodologies Applied to Digital Pathology in Prostate Cancer: A Systematic Review

Deep learning (DL), often called artificial intelligence (AI), has been increasingly used in Pathology thanks to the use of scanners to digitize slides which allow us to visualize them on monitors and process them with AI algorithms. Many articles have focused on DL applied to prostate cancer (PCa). This systematic review explains the DL applications and their performances for PCa in digital pathology. Article research was performed using PubMed and Embase to collect relevant articles. A Risk of Bias (RoB) was assessed with an adaptation of the QUADAS-2 tool. Out of the 77 included studies, eight focused on pre-processing tasks such as quality assessment or staining normalization. Most articles (n = 53) focused on diagnosis tasks like cancer detection or Gleason grading. Fifteen articles focused on prediction tasks, such as recurrence prediction or genomic correlations. Best performances were reached for cancer detection with an Area Under the Curve (AUC) up to 0.99 with algorithms already available for routine diagnosis. A few biases outlined by the RoB analysis are often found in these articles, such as the lack of external validation. This review was registered on PROSPERO under CRD42023418661.

Late complications and 5 years outcomes of robotic partial nephrectomy in France: prospective assessment in the French Kidney Cancer Research Network (UroCCR 10)

PURPOSE

To describe the practice of robotic-assisted partial nephrectomy (RAPN) in France and prospectively assess the late complications and long-term outcomes.

METHODS

Prospective, multicenter (n = 16), observational study including all patients diagnosed with a renal tumor who underwent RAPN. Preoperative, intraoperative, postoperative, and follow-up data were collected and stored in the French research network for kidney cancer database (UroCCR). Patients were included over a period of 12 months, then followed for 5 years.

RESULTS

In total, 466 patients were included, representing 472 RAPN. The mean tumor size was 3.4 ± 1.7 cm, most of moderate complexity (median PADUA and RENAL scores of 8 [7-10] and 7 [5-9]). Indication for nephron-sparing surgery was relative in 7.1% of cases and imperative in 11.8%. Intraoperative complications occurred in 6.8% of patients and 4.2% of RAPN had to be converted to open surgery. Severe postoperative complications were experienced in 2.3% of patients and late complications in 48 patients (10.3%), mostly within the first 3 months and mainly comprising vascular, infectious, or parietal complications. At 5 years, 29 patients (6.2%) had chronic kidney disease upstaging, 21 (4.5%) were diagnosed with local recurrence, eight (1.7%) with contralateral recurrence, 25 (5.4%) with metastatic progression, and 10 (2.1%) died of the disease.

CONCLUSION

Our results reflect the contemporary practice of French expert centers and is, to our knowledge, the first to provide prospective data on late complications associated with RAPN. We have shown that RAPN provides good functional and oncologic outcomes while limiting short- and long-term morbidity.

TRIAL REGISTRATION

NCT03292549.

Google searches for stress urinary incontinence treatment options: a worldwide trend analysis in the synthetic mesh controversy era

PURPOSE

To analyze trends in worldwide public interest in the treatment options for stress urinary incontinence around the latest FDA 2019 ban on vaginal mesh for prolapse.

METHODS

We used the web-based tool Google Trends to analyse online searches related to the following terms: 'pelvic floor muscle exercises', 'continence pessary', 'pubovaginal slings', 'Burch colposuspension', 'midurethral slings', 'injectable bulking agents'. Data were expressed as relative search volume on a scale of 0-100. Comparisons of annual relative search volume and average annual percentage change, were analyzed to assess loss or gain of interest. Finally, we assessed the impact of the last FDA alert.

RESULTS

The mean annual relative search volume for midurethral slings was 20% in 2006 and significantly decreased until 8% in 2022 (p < 0.01). A regular decrease interest was recorded for autologous surgeries but a regain of interest for pubovaginal slings was registered since 2020 (+ 2.8%; p < 0.01). Conversely, a steep interest was noted for injectable bulking agents (average annual percentage change: + 4.4%; p < 0.01) and conservative therapies (p < 0.01). When trends were compared before and after the FDA 2019 alert, a lower research volume was found for midurethral slings, while a higher research volume was observed all others treatments (all p < 0.05).

CONCLUSION

The online public researches about midurethral slings have considerably decreased following warnings on the use of transvaginal mesh. There seems to be a growing interest in conservative measures, bulking agents, and recently pubovaginal slings.

Single-cell Deconvolution of a Specific Malignant Cell Population as a Poor Prognostic Biomarker in Low-risk Clear Cell Renal Cell Carcinoma Patients

BACKGROUND

Intratumor heterogeneity (ITH) is a key feature in clear cell renal cell carcinomas (ccRCCs) that impacts outcomes such as aggressiveness, response to treatments, or recurrence. In particular, it may explain tumor relapse after surgery in clinically low-risk patients who did not benefit from adjuvant therapy. Recently, single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool to unravel expression ITH (eITH) and might enable better assessment of clinical outcomes in ccRCC.

OBJECTIVE

To explore eITH in ccRCC with a focus on malignant cells (MCs) and assess its relevance to improve prognosis for low-risk patients.

DESIGN, SETTING, AND PARTICIPANTS

We performed scRNA-seq on tumor samples from five untreated ccRCC patients ranging from pT1a to pT3b. Data were complemented with a published dataset composed of pairs of matched normal and ccRCC samples.

INTERVENTION

Radical or partial nephrectomy on untreated ccRCC patients.

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

Viability and cell type proportions were determined by flow cytometry. Following scRNA-seq, a functional analysis was performed and tumor progression trajectories were inferred. A deconvolution approach was applied on an external cohort, and Kaplan-Meier survival curves were estimated with respect to the prevalence of malignant clusters.

RESULTS AND LIMITATIONS

We analyzed 54 812 cells and identified 35 cell subpopulations. The eITH analysis revealed that each tumor contained various degrees of clonal diversity. The transcriptomic signatures of MCs in one particularly heterogeneous sample were used to design a deconvolution-based strategy that allowed the risk stratification of 310 low-risk ccRCC patients.

CONCLUSIONS

We described eITH in ccRCCs, and used this information to establish significant cell population-based prognostic signatures and better discriminate ccRCC patients. This approach has the potential to improve the stratification of clinically low-risk patients and their therapeutic management.

PATIENT SUMMARY

We sequenced the RNA content of individual cell subpopulations composed of clear cell renal cell carcinomas and identified specific malignant cells the genetic information of which can be used to predict tumor progression.

The IRON Study: Investigation of Robot-assisted Versus Open Nephron-sparing Surgery

Background

Current literature does not provide large-scale data regarding clinical outcomes of robot-assisted (RAPN) versus open (OPN) partial nephrectomy. Moreover, data assessing predictors of long-term oncologic outcomes after RAPN are scarce.

Objective

To compare perioperative, functional, and oncologic outcomes of RAPN versus OPN, and to investigate the predictors of oncologic outcomes after RAPN.

Design setting and participants

This study included 3467 patients treated with OPN (n = 1063) or RAPN (n = 2404) for a single cT_1-2N₀M₀ renal mass from 2004 to 2018 at nine high-volume European, North American, and Asian institutions.

Outcome measurements and statistical analysis

The study outcomes were short-term postoperative, functional, and oncologic outcomes. Regression models investigated the effect of surgical approach (open vs Robot assisted) on study outcomes, and interaction tests were used for subgroup analyses. Propensity score matching for demographic and tumor characteristics was used in sensitivity analyses. Multivariable Cox-regression analyses identified predictors of oncologic outcomes after RAPN.

Results and limitations

Baseline characteristics were similar between patients receiving RAPN and OPN, with only few differences. After adjusting for confounding, RAPN was associated with lower odds of intraoperative (odds ratio [OR]: 0.39, 95% confidence interval [CI]: 0.22, 0.68) and Clavien-Dindo ≥2 postoperative (OR: 0.29, 95% CI: 0.16, 0.50) complications (both p < 0.05). This association was not affected by comorbidities, tumor dimension, PADUA score, or preoperative renal function (all p > 0.05 on interaction tests). On multivariable analyses, we found no differences between the two techniques with respect to functional and oncologic outcomes (all p > 0.05). Overall, there were 63 and 92 local recurrences and systemic progressions, respectively, with a median follow-up after surgery of 32 mo (interquartile range: 18, 60). Among patients receiving RAPN, we assessed predictors of local recurrence and systemic progression with discrimination accuracy (ie, C-index) that ranged from 0.73 to 0.81.

Conclusions

While cancer control and long-term renal function did not differ between RAPN and OPN, we found that the intra- and postoperative morbidity-especially in terms of complications-was lower after RAPN than after OPN. Our predictive models allow surgeons to estimate the risk of adverse oncologic outcomes after RAPN, with relevant implications for preoperative counseling and follow-up after surgery.

Patient summary

In this comparative study on robotic versus open partial nephrectomy, functional and oncologic outcomes were similar between the two techniques, with lower morbidity-especially in terms of complications-for robot-assisted surgery. The assessment of prognosticators for patients receiving robot-assisted partial nephrectomy may help in preoperative counseling and provides relevant data to tailor postoperative follow-up.

Partial nephrectomy in solitary kidneys: comparison between open surgery and robotic-assisted laparoscopy on perioperative and functional outcomes (UroCCR-54 study)

PURPOSE

The management of solitary kidney tumors is a surgical challenge, requiring irreproachable results on both oncological and functional outcomes. The goal of our study was to compare the perioperative results of robotic-assisted partial nephrectomy (RAPN) to open surgery in this indication.

METHODS

We led a multicentric study based on the prospectively maintained French national database UroCCR. Patients who underwent partial nephrectomy on a solitary kidney between 1988 and 2020 were included. Clinical and pathological data were retrospectively analyzed. The main outcome of the study was the analysis of the variation of the estimated glomerular filtration rate (eGFR) calculated according to MDRD at 3, 6, 12, and 24 months depending on the chosen surgical approach. The secondary outcomes were the comparison of Trifecta success, perioperative complications, and length of hospital stay.

RESULTS

In total, 150 patients were included; 68 (45%) in the RAPN group and 82 (55%) in the open surgery group. The two groups were comparable for all data. The variation of eGFR at 3, 6, 12, or 24 months was comparable without any significant difference between the 2 groups (p = 0.45). Trifecta was achieved in 40% of the patients in the RAPN group and 33% in the open group (p = 0.42). A significant difference was observed for the length of stay, 5 days for the robot group versus 9 days for the open surgery group (p < 0.0001).

CONCLUSION

In our study, the surgical approach did not modify functional results and we noted a significant decrease in hospital stay and complications in the RAPN group. RAPN is a safe and efficient method for management of kidney tumors in solitary kidneys.

Predictive factors of recurrence after surgery in patients with non-metastatic renal cell carcinoma with venous tumor thrombus (UroCCR-56 Study)

PURPOSE

To assess the oncological outcomes of renal cell carcinoma (RCC) associated with tumor thrombus and identify predictive factors of recurrence.

METHODS

Multi-institutional study that included patients with cT3-4N0-1M0 RCC with tumoral thrombus identified in the prospective UroCCR database (CNIL DR 2013-206; NCT03293563). pT3a without involvement of the renal vein were excluded. All patients underwent radical nephrectomy and a thrombectomy of the renal vein ± inferior vena cava ± right atrium. The primary endpoint was recurrence-free survival (RFS). Thirty-two patients who had adjuvant therapies (tyrosine kinase inhibitors or mTOR inhibitor) were compared to control group (surveillance) in a propensity score-matched 1:1 sub-analysis RESULTS: A total of 432 patients were included: 70.4% pT3a, 20.1% pT3b, 4.2% pT3c and 5.3% pT4. Tumor characteristics were: 90.7% clear cell RCC, 13.9% pN1, and 87.1% high Fuhrman grade. 173 patients (40%) had disease recurrence, and median RFS was 37.3 months (95% CI, 26.4-46.7). In a multivariate analysis (Cox model), predictive factors of recurrence were: pT4 (HR 2.66; 95% CI, 1.42-4.99; p = 0.002), pN1 (HR 2.53; 95% CI, 1.46-4.39; p < 0.001), tumor necrosis (HR 2.92; 95% CI, 1.85-4.62; p < 0.001), tumor size > 10 cm (HR 1.56; 95% CI, 1.08-2.24; p = 0.018). Adjuvant therapy was a protective factor of cancer recurrence (HR 0.33; 95% CI, 0.17-0.66; p = 0.002). Propensity score-matched sub-analysis of adjuvant vs control (surveillance) confirmed adjuvant treatment as a protective factor of cancer recurrence (Log rank p = 0.015).

CONCLUSIONS

In this contemporary multi-institutional cohort of RCC + tumor thrombus, we reported higher recurrence rate shortly after surgical excision and demonstrated an oncological benefit of adjuvant treatment.

Oncocytoma on renal mass biopsy: is it still the same histology when surgery is performed? Results from UroCCR-104 study

PURPOSE

To describe clinical features of patients with oncocytoma on renal biopsy (RMB), correlation with final histology on surgically treated patients, and predictive factors of discrepancy between RMB and final histology.

METHODS

This was a retrospective study conducted in the framework of the UroCCR project (NCT03293563). All tumors with oncocytoma on RMB were selected and all pathological reports were reviewed. Patients with the RMB simultaneously performed with a focal treatment, synchronous bilateral tumors and ambiguous RMB report were excluded. Discrepancy between RMB and definitive histology was evaluated using a uni- and multivariable logistic regression analyses model.

RESULTS

Overall, 119 tumors with oncocytoma on RMB, from 15 centers, were included. Of those, 54 (45.4%) had upfront surgery and 65 (54.6%) had active surveillance (AS). In renal masses with initial active surveillance, with a median follow-up of 28 months, 23 (19.3%) underwent surgery, 4 (3.4%) received focal treatment and 38 (31.9%) remained on AS. On final pathology, only 51 of the 75 surgically treated tumors (68.0%) had oncocytoma, while 24 presented malignant tumors (mainly chromophobe carcinoma (19.2%), and hybrid oncocytic/chromophobe tumor (HOCT) (6.8%)) leading to a discrepancy of 32.0% between RMB and final pathology. The only predictive factor of a discrepancy between RMB and definitive histology was a biopsy done outside of the center (Odds ratio: 3.22 [95%-confidence interval: 1.08-9.61], p = 0.03).

CONCLUSION

Despite the increase of RMB in more and more centers, histologic discrepancy between RMB and definitive histology remains significant. This information should be discussed with patients and taken into consideration before treatment decision.

3D-Image guided robotic-assisted partial nephrectomy: a multi-institutional propensity score-matched analysis (UroCCR study 51)

PURPOSE

Robot-assisted partial nephrectomy (RAPN) is a difficult procedure with risk of significant perioperative complications. The objective was to evaluate the impact of preoperative planning and intraoperative guidance with 3D model reconstructions on perioperative outcomes of RAPN.

METHODS

We conducted a retrospective analysis of all patients who underwent RAPN for kidney tumor by three high-volume expert surgeons from academic centers. Clinical data were collected prospectively after written consent into the French kidney cancer network database UroCCR (CNIL-DR 2013-206; NCT03293563). Our cohort was divided into two groups: 3D-Image guided RAPN group (3D-IGRAPN) and control group. A propensity score according to age, pre-operative renal function and RENAL tumor complexity score was used. Both surgical techniques were compared in terms of perioperative outcomes.

RESULTS

The initial study cohort included 230 3D-IGRAPN and 415 control RAPN. Before propensity-score matching, patients in the 3D-IGRAPN group had a larger tumor (4.3 cm vs. 3.5 cm, P < 0.001) and higher RENAL complexity score (9 vs. 8, P < 0.001). Following propensity-score matching, there were 157 patients in both groups. The rate of major complications was lower for patients in the 3D-IGRAPN group (3.8% vs. 9.5%, P = 0.04). The median percentage of eGFR variation recorded at first follow-up was lower in the 3D-IGRAPN group (- 5.6% vs. - 10.5%, P = 0.002). The trifecta achievement rate was higher in the 3D-IGRAPN group (55.7% vs. 45.1%; P = 0.005).

CONCLUSION

Three-dimensional kidney reconstructions use for pre-operative planning and intraoperative surgical guidance lowers the risk of complications and improve perioperative clinical outcomes of RAPN.

Does the Time to Start First-Line Treatment Influence the Survival of Favorable-Risk Patients With Metastatic Renal Cell Carcinoma? Results of the MetaSurv-UroCCR 79 Study

INTRODUCTION AND OBJECTIVES

Many patients in the favorable International Metastatic renal cell carcinoma (RCC) Data Base Consortium group (F-MRC) may have a relatively indolent disease course. Surveillance and delay of systemic therapy could be an option in this specific population. However, the question whether this delay could alter patients' outcome remains unanswered. Our objective was to determine if delaying first-line treatment influences the survival of F-MRC patients.

MATERIALS AND METHODS

We performed a retrospective multicenter national study involving the French Network for Research on Kidney Cancer UroCCR (NCT03293563). We included treatment naive F-MRC patients. We compared the overall survival of patients with immediate medical treatment (IMT) (started less than 3 months after metastatic diagnosis) to those with delayed medical treatment (DMT).

RESULTS

We included 90 patients treated between 2009 and 2018. The median time before occurrence of metastases from diagnosis was 28 (12-137) months. The two groups (IMT vs. DMT) were comparable for follow-up, age, sarcomatoid feature, number, and localization of metastatic sites and ECOG performance status. IMT was given in 25 (27.8 %) patients. Local treatment of metastasis (LTM) was performed in 47 (52%) patients. Patients with DMT had more LTM (63% vs. 24%, P = .001). Among patients with DMT (n = 65); 27 (41%) received a systemic treatment and median systemic treatment-free survival was 39 months (95% CI, 26.3-51.6). Median overall survival from metastasis disease diagnosis was 55 months (95% CI, 42.4-67.5) in the IMT group and 88 months (95%CI, 64-111.9) in the DMT group (P = .028). In multivariable analysis LTM was the only prognostic factor associated to survival improvement (HR: 0.33; P = .024).

CONCLUSIONS

Selected Patients with F-MRC may safely undergo DMT. LTM positively impacted survival in this population and should be considered whenever possible. Prospective trial with a larger population is needed to confirm these results.

Machine-learning approach for prediction of pT3a upstaging and outcomes of localized renal cell carcinoma (UroCCR-15)

OBJECTIVES

To assess the impact of pathological upstaging from clinically localized to locally advanced pT3a on survival in patients with renal cell carcinoma (RCC), as well as the oncological safety of various surgical approaches in this setting, and to develop a machine-learning-based, contemporary, clinically relevant model for individual preoperative prediction of pT3a upstaging.

MATERIALS AND METHODS

Clinical data from patients treated with either partial nephrectomy (PN) or radical nephrectomy (RN) for cT1/cT2a RCC from 2000 to 2019, included in the French multi-institutional kidney cancer database UroCCR, were retrospectively analysed. Seven machine-learning algorithms were applied to the cohort after a training/testing split to develop a predictive model for upstaging to pT3a. Survival curves for disease-free survival (DFS) and overall survival (OS) rates were compared between PN and RN after G-computation for pT3a tumours.

RESULTS

A total of 4395 patients were included, among whom 667 patients (15%, 337 PN and 330 RN) had a pT3a-upstaged RCC. The UroCCR-15 predictive model presented an area under the receiver-operating characteristic curve of 0.77. Survival analysis after adjustment for confounders showed no difference in DFS or OS for PN vs RN in pT3a tumours (DFS: hazard ratio [HR] 1.08, P = 0.7; OS: HR 1.03, P > 0.9).

CONCLUSIONS

Our study shows that machine-learning technology can play a useful role in the evaluation and prognosis of upstaged RCC. In the context of incidental upstaging, PN does not compromise oncological outcomes, even for large tumour sizes.

Epidemiology of Renal Cell Carcinoma: 2022 Update

CONTEXT

International variations in the rates of kidney cancer (KC) are considerable. An understanding of the risk factors for KC development is necessary to generate opportunities to reduce its incidence through prevention and surveillance.

OBJECTIVE

To retrieve and summarize global incidence and mortality rates of KC and risk factors associated with its development, and to describe known familial syndromes and genetic alterations that represent biologic risk factors.

EVIDENCE ACQUISITION

A systematic review was conducted via Medline (PubMed) and Scopus to include meta-analyses, reviews, and original studies regarding renal cell carcinoma, epidemiology, and risk factors.

EVIDENCE SYNTHESIS

Our narrative review provides a detailed analysis of KC incidence and mortality, with significant variations across time, geography, and sex. In particular, while KC incidence has continued to increase, mortality models have leveled off. Among the many risk factors, hypertension, obesity, and smoking are the most well established. The emergence of new genetic data coupled with observational data allows for integrated management and surveillance strategies for KC care.

CONCLUSIONS

KC incidence and mortality rates vary significantly by geography, sex, and age. Associations of the development of KC with modifiable and fixed risk factors such as obesity, hypertension, smoking, and chronic kidney disease (CKD)/end-stage kidney disease (ESKD) are well described. Recent advances in the genetic characterization of these cancers have led to a better understanding of the germline and somatic mutations that predispose patients to KC development, with potential for identification of therapeutic targets that may improve outcomes for these at-risk patients.

PATIENT SUMMARY

We reviewed evidence on the occurrence of kidney cancer (KC) around the world. Currently, the main avoidable causes are smoking, obesity, and high blood pressure. Although other risk factors also contribute, prevention and treatment of these three factors provide the best opportunities to reduce the risk of developing KC at present.

Positive surgical margin's impact on short-term oncological prognosis after robot-assisted partial nephrectomy (MARGINS study: UroCCR no 96)

The oncological impact of positive surgical margins (PSM) after robot-assisted partial nephrectomy (RAPN) is still under debate. We compared PSM and Negative Surgical Margins (NSM) in terms of recurrence-free survival (RFS), metastasis-free survival (MFS) and overall survival (OS) after RAPN, and we identified predictive factors of PSM. Multi-institutional study using the UroCCR database, which prospectively included 2166 RAPN between April 2010 and February 2021 (CNIL DR 2013-206; NCT03293563). Two groups were retrospectively compared: PSM versus NSM. Prognostic factors were assessed using Kaplan-Meyer curves with log-Rank test, cox hazard proportional risk model and logistic regression after univariate comparison. 136 patients had PSM (6.3%) and 2030 (93.7%) had NSM. During a median follow-up of 19 (9-36) months after RAPN, 160 (7.4%) recurrences were reported. Kaplan-Meier curves and analysis suggested that RFS, MFS and OS were not affected by a PSM (p = 0.68; 0.71; 0.88, respectively). In multivariate analysis predictors of PSM were a lower RENAL score (p = 0.001), longer warm ischemia time (WIT) (p = 0.003) and Chromophobe Renal Cell Carcinoma (chrRCC) (p = 0.043). This study found no impact of PSM on RFS, MFS or OS, and predictors of PSM were the RENAL score, WIT and chrRCC.

Oncological Outcomes of Delayed Nephrectomy After Optimal Response to Immune Checkpoint Inhibitors for Metastatic Renal Cell Carcinoma

BACKGROUND

In the current era of immune checkpoint inhibitors (ICIs), the role and optimal timing of a nephrectomy in patients with metastatic renal cell carcinoma (mRCC) remain unknown.

OBJECTIVE

To assess the oncological outcomes of patients who responded to ICI-based treatments and were subsequently treated with a delayed nephrectomy.

DESIGN, SETTING, AND PARTICIPANTS

This national retrospective evaluation included 30 patients with mRCC who underwent a nephrectomy after a complete response (CR) or a major partial response (>80%) to ICI treatment at metastatic sites.

INTERVENTION

Partial or radical nephrectomy after a favorable response to ICI treatment.

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

Disease-free survival (DFS), progression-free survival (PFS), overall survival (OS), and potential discontinuation of systemic treatment were assessed.

RESULTS AND LIMITATIONS

ICI-based treatments included ipilimumab-nivolumab (40%), ICI + tyrosine kinase inhibitor (10%), and nivolumab (50%). A delayed nephrectomy was performed after a median ICI treatment duration of 10 mo. In 19 cases (63.3%), surgeons faced difficulties due to adhesions or inflammatory changes. A complete pathological response was observed in 16.7% of patients. After a median follow-up of 19.5 mo after nephrectomy, 76.7% of patients achieved DFS. At 1 yr, 66.7% of patients were free from systemic treatment. The PFS and OS rates were, respectively, 96.7% and 100% at 1 yr, and 78.3% and 86.1% at 2 yr. Patients with a CR at metastatic sites had a better prognosis than those with a major partial response, in terms of DFS (p = 0.022) and PFS (p = 0.014).

CONCLUSIONS

Despite potentially challenging surgery, a delayed nephrectomy for patients who responded to ICI treatment provided promising oncological outcomes, and the majority of patients could discontinue systemic treatment.

PATIENT SUMMARY

In this study, we evaluated the clinical outcome in patients who responded well to immunotherapy, and subsequently underwent kidney ablation surgery. Three-quarters of patients experienced no recurrence, and in most cases, medical treatment could be discontinued.

Application of Machine Learning Models to Predict Recurrence After Surgical Resection of Nonmetastatic Renal Cell Carcinoma

BACKGROUND

Predictive tools can be useful for adapting surveillance or including patients in adjuvant trials after surgical resection of nonmetastatic renal cell carcinoma (RCC). Current models have been built using traditional statistical modelling and prespecified variables, which limits their performance.

OBJECTIVE

To investigate the performance of machine learning (ML) framework to predict recurrence after RCC surgery and compare them with current validated models.

DESIGN, SETTING, AND PARTICIPANTS

In this observational study, we derived and tested several ML-based models (Random Survival Forests [RSF], Survival Support Vector Machines [S-SVM], and Extreme Gradient Boosting [XG boost]) to predict recurrence of patients who underwent radical or partial nephrectomy for a nonmetastatic RCC, between 2013 and 2020, at 21 French medical centres.

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

The primary end point was disease-free survival. Model discrimination was assessed using the concordance index (c-index), and calibration was assessed using the Brier score. ML models were compared with four conventional prognostic models, using decision curve analysis (DCA).

RESULTS AND LIMITATIONS

A total of 4067 patients were included in this study (3253 in the development cohort and 814 in the validation cohort). Most tumours (69%) were clear cell RCC, 40% were of high grade (nuclear International Society of Urological Pathology grade 3 or 4), and 24% had necrosis. Of the patients, 4% had nodal involvement. After a median follow-up of 57 mo (interquartile range 29-76), 523 (13%) patients recurred. ML models obtained higher c-index values than conventional models. The RSF yielded the highest c-index values (0.794), followed by S-SVM (c-index 0.784) and XG boost (c-index 0.782). In addition, all models showed good calibration with low integrated Brier scores (all integrated brier scores <0.1). However, we found calibration drift over time for all models, albeit with a smaller magnitude for ML models. Finally, DCA showed an incremental net benefit from all ML models compared with conventional models currently used in practice.

CONCLUSIONS

Applying ML approaches to predict recurrence following surgical resection of RCC resulted in better prediction than that of current validated models available in clinical practice. However, there is still room for improvement, which may come from the integration of novel biological and/or imaging biomarkers.

PATIENT SUMMARY

We found that artificial intelligence algorithms could better predict the risk of recurrence after surgery for a localised kidney cancer. These algorithms may help better select patients who will benefit from medical treatment after surgery.

Urethrectomy at the time of radical cystectomy for non-metastatic urothelial carcinoma of the bladder: a collaborative multicenter study

INTRODUCTION

The optimal management of the urethra in patients planned for radical cystectomy (RC) remains unclear. We sought to evaluate the impact of urethrectomy on perioperative and oncological outcomes in patients treated with RC for non-metastatic urothelial carcinoma of the bladder (UCB).

MATERIALS AND METHODS

We assessed the retrospective data from patients treated with RC for UCB of five European University Hospitals. Associations of urethrectomy with progression-free (PFS), cancer-free (CSS), and overall (OS) survivals were assessed in univariable and multivariable Cox regression models. We performed a subgroup analysis in patients at high risk for urethral recurrence (UR) (urethral invasion and/or bladder neck invasion and/or multifocality and/or prostatic urethra involvement).

RESULTS

A total of 887 non-metastatic UCB patients were included. Among them, 146 patients underwent urethrectomy at the time of RC. Urethrectomy was performed more often in patients with urethral invasion, T3/4 tumor stage, CIS, positive frozen section analysis of the urethra, and those who received neoadjuvant chemotherapy, underwent robotic RC, and/or received an ileal conduit urinary diversion (all p < 0.001). Estimated blood loss and the postoperative complication rate were comparable between patients who received an urethrectomy and those who did not. Urethrectomy during RC was not associated with PFS (HR 0.83, p = 0.17), CSS (HR 0.93, p = 0.67), or OS (HR 1.08, p = 0.58). In the subgroup of 276 patients at high risk for UR, urethrectomy at the time of RC decreased the risk of progression (HR 0.58, p = 0.04).

CONCLUSION

In our study, urethrectomy at the time of RC seems to benefit only patients at high risk for UR. Adequate risk assessment of UCB patients' history may allow for better clinical decision-making and patient counseling.

Individualized prediction of post-surgical pathologic T3a (pT3a) upstaging risk in localized renal tumors undergoing nephrectomy (UroCCR 15 study)

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Background: Surgery is the standard of care for localized kidney cancer. Diagnostic imaging plays a critical role in disease staging and informs the extent of surgical resection (partial or radical nephrectomy, extended resection). In clinical routine, up to 15% of the tumors initially assessed as T1-T2 on imaging is upgraded to pT3a status post-surgery, implying a higher risk of relapse. The ability to correctly predict pT3a status pre-surgery would inform the surgical approach. An individualized prediction of the risk of clinical T1 or T2 tumors to be upstaged to pT3a is thus of high surgical interest. Methods: UroCCR is a French national network of 37 multidisciplinary teams for kidney cancer management that collects longitudinal data on the routine clinical care of its patients. A retrospective cohort of 4,395 cases of clinical T1-T2 kidney tumors was analyzed to develop a machine learning-based algorithm predictive of post-surgical pT3a upstaging risk at the individual patient level. For each patient, pre-surgical data were collected, including gender, age, symptoms, tumor size, tumor location, RENAL score, ECOG performance status, ASA score, and post-surgical pathological status. Sites were randomly assigned to the training or testing cohort, and their respective patient cases split between cohorts in a 60/40 ratio. Missing values were addressed through imputation performed with a k-nearest neighbor algorithm. Algorithms were trained on a data set of 2,636 patients and hyperparameters were optimized using a Bayes cross-validation (10-fold) approach. The area under the precision-recall curve (prAUC) was used as optimization metric. The performance of the algorithms for pT3a status prediction was then evaluated on the test dataset of 1,759 patients using precision-recall curves. Results: A logistic regression algorithm reached an AUC of 0.77 and a prAUC of 0.41. Higher values of the tumor size or age at surgery, the hilar location and the presence of symptoms at diagnosis were all associated with an increase of the predicted probability of pT3a upstaging. For each patient, Shapley values graphs were generated to display the pT3a upstaging probability and the relative contribution of each feature to the prediction. Three risk groups were defined based on the relative computed probability of pT3a upstaging, which displayed a statistically significant difference in Disease-Free Survival (DFS) (p < 0.0001), suggesting that pre-surgical multimodal data analysis could help predict long-term outcomes. Conclusions: This study suggests that machine learning applied to pre-surgical multimodal data can predict the risk of pT3a upstaging of a localized kidney tumor and inform long-term outcomes at the individual patient level. The results have been validated on an external cohort of 1,759 patients with data from the clinical routine.

Comprehensive study of 9 novel cases of TFEB-amplified renal cell carcinoma: an aggressive tumor with frequent PDL1 expression

BACKGROUND & OBJECTIVES

First described in 2014, renal cell carcinoma (RCC) with TFEB amplification (6p21) is a rare molecular subgroup whose diagnosis is challenging. The prognosis and therapeutic implications remain unclear.

METHODS

We report here the clinical, histological, immunohistochemical and genetic features of 9 novel cases. The pathological and immunohistochemical features were centrally reviewed by expert uropathologists. Fluorescence in situ hybridization (FISH) confirmed the diagnosis and comparative genomic hybridization (CGH) was performed to determine quantitative genomic alterations. We also performed an exhaustive review of the literature and compiled our data.

RESULTS

TFEB-amplified RCC were locally advanced with initial lymph node involvement in one case and liver metastasis in another case. They were high-grade eosinophilic tumors with papillary/pseudopapillary architecture, frequent positivity for melanocytic markers and frequent PDL1 expression. FISH demonstrated high-level TFEB amplification in 6 cases. One case showed concomitant TFEB translocation. CGH analysis identified complex alterations with frequent losses of 1p, 2q, 3p, 6p, and frequent 6p and 8q gains. VEGFA co-amplification was identified in all cases with a lower level than TFEB. The prognosis was poor with five patients having lymph node or distant metastases.

CONCLUSION

TFEB-amplified RCC is a rare molecular subgroup with variable morphology whose diagnosis is confirmed by FISH analysis. The complex alterations identified by CGH are consistent with an aggressive clinical behavior. The co-amplification of VEGFA and the expression of PDL1 could suggest a potential benefit from antiangiogenics and targeted immunotherapy in combination for these aggressive tumors.

The effect of immune checkpoint inhibitor combination therapies in metastatic renal cell carcinoma patients with and without previous cytoreductive nephrectomy: A systematic review and meta-analysis

BACKGROUND

Recently, immune checkpoint inhibitor (ICI)-combination therapies have radically altered the treatment landscape in metastatic renal cell carcinoma (mRCC). No phase 3 trials have assessed the impact of cytoreductive nephrectomy (CN) for efficacy in mRCC patients treated with ICI-combination therapy. We aimed to assess the role of ICI-combination therapy based on CN status.

METHODS

Multiple databases were searched for articles published until June 2021. Studies comparing overall and/or progression-free survival (OS/PFS) in mRCC patients treated with ICI combination-therapy were deemed eligible.

RESULTS

Six studies met the eligibility criteria. ICI-combination therapy was associated with significantly better OS/PFS than sunitinib in patients who had undergone CN (hazard ratio [HR], 0.67; 95% confidence interval [CI], 0.59-0.77/HR, 0.57; 95% CI, 0.44-0.74, respectively; both P < 0.001), and in those who had not (HR, 0.69; 95% CI, 0.57-0.85/HR, 0.63; 95% CI, 0.52-0.77, respectively; both P < 0.001). Although the OS and PFS benefits of ICI-combination therapy were larger in those undergoing CN, the HR for OS and PFS indicated that ICI-combination therapy's treatment effect did not differ substantially with or without CN. In network meta-analyses, nivolumab plus cabozantinib was the most effective regimen in those undergoing CN, and pembrolizumab plus lenvatinib for those not undergoing CN.

CONCLUSION

The effect of ICI combination therapy did not differ between mRCC patients undergoing and not undergoing CN. As each ICI combination regimen varied widely in its effect in patients undergoing and not undergoing CN, CN may contribute to better treatment decision-making for ICI-combination therapy recipients.