Renal cell carcinoma: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up†

Tumor grade-titude: XGBoost radiomics paves the way for RCC classification

This study aimed to develop and evaluate a non-invasive XGBoost-based machine learning model using radiomic features extracted from pre-treatment CT images to differentiate grade 4 renal cell carcinoma (RCC) from lower-grade tumours. A total of 102 RCC patients who underwent contrast-enhanced CT scans were included in the analysis. Radiomic features were extracted, and a two-step feature selection methodology was applied to identify the most relevant features for classification. The XGBoost model demonstrated high performance in both training (AUC = 0.87) and testing (AUC = 0.92) sets, with no significant difference between the two (p = 0.521). The model also exhibited high sensitivity, specificity, positive predictive value, and negative predictive value. The selected radiomic features captured both the distribution of intensity values and spatial relationships, which may provide valuable insights for personalized treatment decision-making. Our findings suggest that the XGBoost model has the potential to be integrated into clinical workflows to facilitate personalized adjuvant immunotherapy decision-making, ultimately improving patient outcomes. Further research is needed to validate the model in larger, multicentre cohorts and explore the potential of combining radiomic features with other clinical and molecular data.

Deferred cytoreductive nephrectomy in patients with metastatic renal cell carcinoma: A systematic review and patient-level meta-analysis

There has been much controversy regarding the order in which cytoreductive nephrectomy (CN) and systemic therapy (ST) are applied for patients with metastatic renal cell carcinoma (mRCC). We aimed to investigate the role of deferred CN (dCN) in mRCC, particularly in the current era of immunotherapy. A systematic literature search was conducted on PubMed, Embase, and Scopus for studies comparing dCN versus any non-dCN strategy, in any temporal sequence, with the provision of Kaplan-Meier curves for overall survival (OS). A graphical reconstructive algorithm was used to obtain OS of individual patients, which was then pooled under random-effects individual patient data (IPD) meta-analysis using Cox-models to determine hazard ratios (HRs) and 95% CI. Altogether, 12 studies (5,350 patients) were analyzed. dCN (ST followed by CN) was associated with significantly improved OS over nondeferred CN (CN followed by ST, ST alone, or CN alone) (HR = 0.60, 95% CI, 0.53-0.67, P < 0.001). Subgroup comparisons restricted to studies comparing dCN versus upfront CN (uCN, CN then ST) were also in favor of dCN (HR = 0.69, 95% CI, 0.61-0.78, P < 0.001), even among those in which immunotherapy as ST was used in all patients (HR = 0.57, 95% CI, 0.39-0.84, P = 0.005). In mRCC patients suitable for CN, dCN is associated with significantly improved OS over nondeferred CN strategies, including uCN. Although limited by inclusion of nonrandomized studies and immortal time bias, this meta-analysis strengthens existing guidelines to offer dCN to surgically fit patients who do not progress on ST in the current age of immunotherapy.

Extracellular vesicles in renal cell carcinoma: A review of the current landscape and future directions

Liquid biopsy, a minimally invasive biopsy method that uses patient body fluids (e.g., blood, urine, or saliva), is considered a useful biomarker for early diagnosis, monitoring of tumor progression, and evaluating treatment efficacy. Extracellular vesicles (EVs), a diverse group of particles classified according to their size and biosynthetic method, are liquid bilayer structures released from various cells. EVs contain specific information, such as DNA, RNA, and proteins derived from released cells. Consequently, they have attracted attention for use in liquid biopsy. EV-derived microRNAs (miRNAs) and long noncoding RNAs (lncRNAs) are useful biomarkers for cancer diagnosis, tumor progression, and drug treatment resistance. Renal cell carcinoma (RCC), one of the most common type of urological cancer, accounts for 90% of all renal tumors. In contrast to prostate cancer, for which a tumor marker has been established, clinically applicable and useful biomarkers remain to be established for RCC. EV-derived miRNAs and lncRNAs have been identified as useful biomarkers in several types of carcinoma for determining the diagnosis and predicting tumor progression, and drug treatment resistance in patients with RCC. The development and identification of biomarkers to diagnose and predict tumor progression in RCC will improve the management and prognosis of patients with RCC. This review focuses on EV-derived miRNAs and lncRNAs and discusses the currently available EV-based biomarkers in RCC and their future prospects.

From infection to tumor: genetic evidence of viral antibody immune response' role in urologic cancer development

BACKGROUND

Urologic tumors are among the most common malignancies worldwide, and the association between chronic infections and the risk of developing these tumors has garnered significant attention. However, traditional observational studies are prone to confounding factors, making it challenging to establish a clear causal relationship.

METHOD

This study employs a two-sample bidirectional Mendelian randomization analysis, utilizing genetic data on antibody levels and urologic tumors obtained from GWAS databases. The inverse variance weighted (IVW) method was used to estimate causal relationships, while MR-Egger and MR-PRESSO methods were applied for sensitivity analyses to assess horizontal pleiotropy and heterogeneity.

RESULT

The results showed that antibody levels associated with various viral infections were significantly correlated with the risk of developing urologic tumors. For example, antibodies related to cytomegalovirus IgG and Epstein-Barr virus (EBV) were found to have complex associations with the risk of prostate cancer, bladder cancer, and testicular cancer. Some antibodies, such as those related to Varicella zoster virus, were associated with a reduced risk of clear cell renal carcinoma. Additionally, sensitivity analyses suggested the potential presence of horizontal pleiotropy in bladder and testicular cancers.

CONCLUSION

Through Mendelian randomization analysis, we revealed a potential causal relationship between antibody immune responses and urologic tumors. These findings provide new evidence for the role of chronic infections in the pathogenesis of urologic tumors, suggesting that prevention and treatment strategies targeting related pathogens, such as vaccination and antiviral therapies, could offer new avenues for the prevention and management of urologic cancers.

MRI-based radiomics for differentiating high-grade from low-grade clear cell renal cell carcinoma: a systematic review and meta-analysis

PURPOSE

High-grade clear cell renal cell carcinoma (ccRCC) is linked to lower survival rates and more aggressive disease progression. This study aims to assess the diagnostic performance of MRI-derived radiomics as a non-invasive approach for pre-operative differentiation of high-grade from low-grade ccRCC.

METHODS

A systematic search was conducted across PubMed, Scopus, and Embase. Quality assessment was performed using QUADAS-2 and METRICS. Pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the curve (AUC) were estimated using a bivariate model. Separate meta-analyses were conducted for radiomics models and combined models, where the latter integrated clinical and radiological features with radiomics. Subgroup analysis was performed to identify potential sources of heterogeneity. Sensitivity analysis was conducted to identify potential outliers.

RESULTS

A total of 15 studies comprising 2,265 patients were included, with seven and six studies contributing to the meta-analysis of radiomics and combined models, respectively. The pooled estimates of the radiomics model were as follows: sensitivity, 0.78; specificity, 0.84; PLR, 4.17; NLR, 0.28; DOR, 17.34; and AUC, 0.84. For the combined model, the pooled sensitivity, specificity, PLR, NLR, DOR, and AUC were 0.87, 0.81, 3.78, 0.21, 28.57, and 0.90, respectively. Radiomics models trained on smaller cohorts exhibited a significantly higher pooled specificity and PLR than those trained on larger cohorts. Also, radiomics models based on single-user segmentation demonstrated a significantly higher pooled specificity compared to multi-user segmentation.

CONCLUSION

Radiomics has demonstrated potential as a non-invasive tool for grading ccRCC, with combined models achieving superior performance.

De Novo Serine Synthesis Is a Metabolic Vulnerability That Can Be Exploited to Overcome Sunitinib Resistance in Advanced Renal Cell Carcinoma

Sunitinib is an oral tyrosine kinase inhibitor used in treating advanced renal cell carcinoma (RCC) that exhibits significant efficacy but faces resistance in 30% of patients. Identifying the molecular mechanisms underlying resistance could enable the development of strategies to enhance sunitinib sensitivity. In this study, we showed that sunitinib induces a metabolic shift leading to increased serine synthesis in RCC cells. Activation of the GCN2-ATF4 stress response pathway was identified as the mechanistic link between sunitinib treatment and elevated serine production. The increased serine biosynthesis supported nucleotide synthesis and sustained cell proliferation, migration, and invasion following sunitinib treatment. Inhibiting key enzymes in the serine synthesis pathway, such as phosphoglycerate dehydrogenase and phosphoserine aminotransferase 1, enhanced the sensitivity of resistant cells to sunitinib. Beyond RCC, similar activation of serine synthesis following sunitinib treatment occurred in a variety of other cancer types, suggesting a shared adaptive response to sunitinib therapy. Together, this study identifies the de novo serine synthesis pathway as a potential target to overcome sunitinib resistance, offering insights into therapeutic strategies applicable across diverse cancer contexts. Significance: Sunitinib treatment induces metabolic reprogramming to provide essential metabolite building blocks for tumor survival, resistance, and progression by upregulating serine biosynthesis, which represents a targetable dependency to enhance therapeutic efficacy.

A prognostic microRNA-based signature for localized clear cell renal cell carcinoma: the Bio-miR study

BACKGROUND

Two thirds of renal cell carcinoma (RCC) patients have localized disease at diagnosis. A significant proportion of these patients will relapse. There is a need for prognostic biomarkers to improve risk-stratification and specific treatments for patients that relapse. The objective of this study is to determine the clinical utility of microRNA signatures as prognostic biomarkers in localized clear cell RCC (ccRCC) and propose new therapeutic targets in patients with a high-risk of relapse.

PATIENTS AND METHODS

The microRNA profiles from a discovery cohort of 71 T1-T2 ccRCC patients (n = 88) were analyzed using microarrays. MicroRNAs prognostic value was established, and a microRNAs signature predicting relapse for T1b-T3 disease was defined. Independent validation was carried out by qPCR in cohorts from UK (n = 75) and Spain (n = 180), and the TCGA cohort (n = 175). In the Spanish validation cohort, proteomics experiments were done. Proteins were extracted from FFPE tissue and analyzed using by data-independent acquisition mass spectrometry. Additionally, ccRCC TCGA RNA-seq data was also analyzed. Both protein and RNA-seq data was analyzed using Significance Analysis of Micorarrays (SAM) and probabilistic graphical models, which allow the identification of relevant biological processes between low and high-risk tumors.

RESULTS

A 9-microRNAs signature, Bio-miR, classified patients into low- and high-risk with disease-free survival (DFS) at 5 years of 87.12 vs. 54.17% respectively (p = 0.0086, HR = 3.58, 95%CI: 1.37-8.3). Results were confirmed in the validation cohorts with 5-year DFS rates of 94% vs. 62% in the UK cohort (HR = 7.14, p = 0.001), 82.9% vs. 58.7% in the Spanish cohort (HR = 2.46, p = 0.0013), and 5-year overall survival rates of 72.7% vs. 44.5% in the TCGA cohort (HR = 2.43, p = 0.0012). Among low-risk patients according to adjuvant immunotherapy clinical trial criteria, Bio-miR identified a high-risk group. Maybe those patients ought to be considered to receive adjuvant therapy. Proteins overexpressed in the high-risk group were mainly related to focal adhesion, serine and inositol metabolism, and angiogenesis. Probabilistic graphical models defined eight functional nodes related to specific biological processes. Differences between low- and high-risk tumors were detected in complement activation and translation functional nodes. In ccRCC TCGA cohort, 676 genes were differentially expressed between low and high-risk patients, mainly related to complement activation, adhesion, and chemokine and cytokine cascades. In this case, probabilistic graphical models defined ten functional nodes. Calcium binding, membrane, adhesion, extracellular matrix, blood microparticle, inflammatory response and immune response had higher functional node activity, and metabolism node, containing genes related to retinol and xenobiotic and CYP450 metabolism, had lower activity in the high-risk group.

CONCLUSIONS

Bio-miR dichotomizes ccRCC patients with non-metastatic disease into those with low- and high-risk of relapse. This has implications for treatment and follow-up, identifying patients most likely to benefit from adjuvant treatment in clinical trials, preventing unnecessary exposure to side-effects, and providing health economics benefits. Additionally, promising therapeutic targets, as angiogenesis, immune response, metabolism, or complement activation, were found deregulated in high-risk ccRCC patients defined by Bio-miR. These findings may be useful to select patients for tailored, molecularly-driven clinical trials. Identifying which patients with kidney cancer are most at risk of their cancer coming back after surgery is critical, so that they can be prioritized for early treatment. We have identified a combination of biomarkers present in the cancer tissue (called BiomiR) which can help to do this.

Deep Learning for Classification of Solid Renal Parenchymal Tumors Using Contrast-Enhanced Ultrasound

The purpose of this study is to assess the ability of deep learning models to classify different subtypes of solid renal parenchymal tumors using contrast-enhanced ultrasound (CEUS) images and to compare their classification performance. A retrospective study was conducted using CEUS images of 237 kidney tumors, including 46 angiomyolipomas (AML), 118 clear cell renal cell carcinomas (ccRCC), 48 papillary RCCs (pRCC), and 25 chromophobe RCCs (chRCC), collected from January 2017 to December 2019. Two deep learning models, based on the ResNet-18 and RepVGG architectures, were trained and validated to distinguish between these subtypes. The models' performance was assessed using sensitivity, specificity, positive predictive value, negative predictive value, F1 score, Matthews correlation coefficient, accuracy, area under the receiver operating characteristic curve (AUC), and confusion matrix analysis. Class activation mapping (CAM) was applied to visualize the specific regions that contributed to the models' predictions. The ResNet-18 and RepVGG-A0 models achieved an overall accuracy of 76.7% and 84.5% across all four subtypes. The AUCs for AML, ccRCC, pRCC, and chRCC were 0.832, 0.829, 0.806, and 0.795 for the ResNet-18 model, compared to 0.906, 0.911, 0.840, and 0.827 for the RepVGG-A0 model, respectively. The deep learning models could reliably differentiate between various histological subtypes of renal tumors using CEUS images in an objective and non-invasive manner.

Preoperative prediction of WHO/ISUP grade of ccRCC using intratumoral and peritumoral habitat imaging: multicenter study

OBJECTIVES

The World Health Organization/International Society of Urological Pathology (WHO/ISUP) grading of clear cell renal cell carcinoma (ccRCC) is crucial for prognosis and treatment planning. This study aims to predict the grade using intratumoral and peritumoral subregional CT radiomics analysis for better clinical interventions.

METHODS

Data from two hospitals included 513 ccRCC patients, who were divided into training (70%), validation (30%), and an external validation set (testing) of 67 patients. Using ITK-SNAP, two radiologists annotated tumor regions of interest (ROI) and extended surrounding areas by 1 mm, 3 mm, and 5 mm. The K-means clustering algorithm divided the tumor region into three sub-regions, and the Least Absolute Shrinkage and Selection Operator (LASSO) regression identified the most predictive features. Various machine learning models were established, including radiomics models, peritumoral radiomics models, models based on intratumoral heterogeneity (ITH) score, clinical models, and comprehensive models. Predictive ability was evaluated using receiver operating characteristic (ROC) curves, area under the curve (AUC) values, DeLong tests, calibration curves, and decision curves.

RESULTS

The combined model showed strong predictive power with an AUC of 0.852 (95% CI: 0.725-0.979) on the test data, outperforming individual models. The ITH score model was highly precise, with AUCs of 0.891 (95% CI: 0.854-0.927) in training, 0.877 (95% CI: 0.814-0.941) in validation, and 0.847 (95% CI: 0.725-0.969) in testing, proving its superior predictive ability across datasets.

CONCLUSION

A comprehensive model combining Habitat, Peri1mm, and salient clinical features was significantly more accurate in predicting ccRCC pathologic grading.

KEY POINTS

Question: Characterize tumor heterogeneity to non-invasively predict WHO/ISUP pathological grading preoperatively.

FINDINGS

An integrated model combining subregion characterization, peritumoral characteristics, and clinical features can predict ccRCC grade preoperatively.

CLINICAL RELEVANCE

Subregion tumor characterization outperforms the single-entity approach. The integrated model, compared with the radiomics model, boosts grading and prognostic accuracy for more targeted clinical actions.

Expert consensus on patterns of progression in kidney cancer after adjuvant immunotherapy and subsequent treatment strategies

Immunotherapy has changed the management of localized clear cell renal cell carcinoma (ccRCC) since the approval of adjuvant pembrolizumab, which demonstrated significant improvements in disease-free survival (DFS) and overall survival (OS) in patients at intermediate and high risk of recurrence. This new approach impacts rescue strategies in patients who relapse after local treatment and during or after adjuvant pembrolizumab. Nevertheless, there is currently no robust scientific evidence on therapeutic decision-making in this clinical situation, representing an area for further debate and research. In this article, a group of experts from the Genitourinary Alliance for Research and Development (GUARD) have reviewed the available scientific evidence to establish the basis for therapeutic decision-making in patients with ccRCC who progress after adjuvant treatment with immunotherapy. Despite the lack of randomized clinical trials in this setting, this group of experts recommends classifying patients according to relapse volume (oligometastatic vs. polymetastatic), time to relapse and certain molecular characteristics. Rescue treatments beyond relapse should be individualized and might include locoregional treatments such as surgery or radiotherapy as well as antiangiogenic therapies in patients defined as resistant to immunotherapy.

Exceptional Response in a Patient with mRCC Through Precision-Guided Treatment Involving Immunotherapy Rechallenge with Temsirolimus and Bevacizumab

Comprehensive genomic profiling (CGP) and the subsequent discussions in molecular tumor boards (MTBs) are becoming an integral part of personalized cancer care. The patient with metastatic renal cell carcinoma (mRCC) presented here demonstrated an absence of a favorable response accompanied by adverse events after receiving dual immunotherapy with nivolumab plus ipilimumab in combination with a poly (adenosine diphosphate-ribose) polymerase inhibitor, niraparib. This determination was made based on the initial CGP report and the initial MTB. Following the progression of the disease and the emergence of immune-related adverse events, a second CGP was conducted, and several subsequent MTBs were held. The decision was made to transition the patient's treatment to temsirolimus plus bevacizumab, with the rechallenge of immunotherapy with pembrolizumab. The response evaluation revealed a complete radiographic and molecular response. This case study underscores the mounting significance of precision oncology in the management of mRCC, thereby suggesting that mammalian target of rapamycin inhibitor may augment the efficacy of immunotherapy in select patients based on their genomic findings. A digital poster of this case is included in the supplemental materials.

Model-Informed Dose Optimization of Pazopanib in Real-World Patients with Cancer

BACKGROUND AND OBJECTIVES

Pazopanib is approved for metastatic renal cell carcinoma (mRCC) and soft tissue sarcoma (STS) in a dose of 800 mg once daily (QD) taken under fasted conditions. In clinical practice, approximately 60% of patients require dose reductions due to toxicity, with severe liver toxicity necessitating treatment interruptions in over 10% of cases. While a trough concentration (Cmin,ss) target of ≥ 20.5 mg/L has been established for mRCC efficacy, no specific threshold exists for liver toxicity. The objectives of this study were to develop a population pharmacokinetic (POPPK), an exposure-liver toxicity, and an exposure-tumor size dynamics model to optimize pazopanib initial dose in real-world patients.

METHODS

In total, 135 patients were included and treated with a median starting dose of 800 mg (interquartile range, IQR: 600-800 mg) QD pazopanib fasted with a median follow-up of 120 (IQR 63-372) days. A population pharmacokinetic model was developed using 460 concentration measurements from 135 patients. Exposure-liver toxicity was evaluated using time-to-event modeling, and exposure-tumor size dynamics was evaluated using tumor growth modelling.

RESULTS

The liver toxicity model, with 27 cases of grade ≥ 2 liver toxicity out of 135 patients (20%), identified a Cmin,ss threshold of > 34 mg/L associated with a 3.35-fold increased toxicity risk (P < 0.01). Model simulations showed that an initial dose of 600 mg QD significantly reduced liver toxicity risk (P < 0.001) while maintaining Cmin,ss ≥ 20.5 mg/L for 76% of the simulated individuals. Tumor size dynamics were analyzed using baseline and posttreatment tumor size measurements from 111 patients. The introduction of primary resistance by using a mixture model improved the model fit significantly. Tumor growth and decay rates differed between mRCC and STS but showed no pazopanib exposure dependency across the studied range, suggesting maximal tumor inhibition at current exposure levels.

CONCLUSIONS

These findings suggest that an initial pazopanib dose of 600 mg fasted, followed by model-informed precision dosing to maintain Cmin,ss between 20 and 34 mg/L, may improve efficacy-toxicity balance and mitigate treatment interruptions.

An in situ engineered chimeric IL-2 receptor potentiates the tumoricidal activity of proinflammatory CAR macrophages in renal cell carcinoma

Chimeric antigen receptor macrophage (CAR-M) therapy has shown great promise in solid malignancies; however, the phenotypic re-domestication of CAR-Ms in the immunosuppressive tumor niche restricts their antitumor immunity. We here report an in situ engineered chimeric interleukin (IL)-2 signaling receptor (CSR) for controllably manipulating the proinflammatory phenotype of CAR-Ms, augmenting their sustained tumoricidal immunity. Specifically, our in-house-customized lipid nanoparticles efficiently introduce dual circular RNAs into macrophages to generate CSR-functionalized CAR-Ms. The intracellular inflammatory signaling pathway of CAR-Ms can be stimulated with the IL-2 therapeutic via the synthetic IL-2 receptor, which induces the antitumor phenotype shifting of CAR-Ms. Moreover, hydrogel-mediated combinatory treatment with lipid nanoparticles and IL-2 remodels the immunosuppressive tumor microenvironment and promotes tumor regression in renal carcinoma animal models. In summary, our findings establish that the proinflammatory phenotype of CAR-Ms can be modulated by a synthetic IL-2 receptor, benefiting the antitumor immunotherapy of CAR-Ms with broad application in other solid malignancies.

Renal cell carcinoma of the native kidney in renal transplant recipients: case report and literature review

Kidney transplant recipients (KTRs) carry an elevated risk of cancer-related mortality. The cumulative incidence of de novo post-transplant malignancy (DPTM) reaches 10% at 10 years, with renal cell carcinoma (RCC) arising in native kidneys being the predominant urologic malignancy. This study presents three KTRs who developed native kidney RCC 6-15 years post-transplantation. Notably, Case 1 demonstrated a 14.7 cm mass at diagnosis, secondary to non-adherence to protocol-based native kidney surveillance. Histopathological confirmation of RCC was established in all cases through ISUP/WHO-graded surgical specimens and immunophenotypic profiling. KTRs exhibit elevated native kidney RCC risk, often with nonspecific clinical presentations. Our findings emphasize the critical role of systematic imaging protocols, particularly ultrasonography and contrast-enhanced ultrasound (CEUS), in early tumor detection. Implementing these strategies may improve survival and reduce disease burden in this high-risk population.

Establishment and validation of a nomogram to predict overall survival for patients with primary renal neuroendocrine tumor

Our study aimed to develop a nomogram to predict overall survival (OS) at 1, 3, and 5 years for patients with primary renal neuroendocrine tumor (PRNET). The Surveillance, Epidemiology, and End Results database (2000-2021) was utilized to gather cases and extract data. We performed a multivariate analysis using a Cox proportional-hazards model to identify prognostic factors independently affecting OS. Based on these predictors, a nomogram was constructed and validated internally via a bootstrap resampling method. Finally, we included 266 PRNET patients. The multivariate analysis demonstrated that age, Fuhrman grade, surgery, summary stage, N stage, and histology were prognostic factors independently affecting OS (all P < 0.05). A nomogram was then constructed using the abovementioned predictors, except for the N stage. The bootstrap-corrected concordance index (C-index) of the nomogram was 0.820 (95% CI 0.805-0.835), surpassing the C-index of the TNM stage (0.571, 95% CI 0.550-0.592, P < 0.001). Based on time-dependent C-index results, the nomogram demonstrated a better discriminative ability compared to the TNM staging system. There was a good consistency between the observed values and predicted probabilities indicated by the calibration curves. The nomogram's clinical utility was supported by the decision curve analysis. Additionally, the nomogram can classify PRNET patients into low-risk and high-risk subgroups, with high-risk patients having poorer OS (P < 0.0001). The prognostic nomogram, based on individualized clinicopathological information, may be helpful in predicting survival outcomes for PRNET patients more accurately. Further external validation is required in future studies to confirm our developed nomogram's prognostic accuracy and clinical applicability.

Prevailing challenges in personalized treatment for metastatic renal cell carcinoma: a narrative review

INTRODUCTION

The management of metastatic renal cell carcinoma (mRCC) has advanced with recent therapies, yet optimizing treatment remains challenging due to disease heterogeneity and the growing number of options. Integrating systemic and local treatments requires a multidisciplinary approach to improve outcomes.

AREA COVERED

This review summarizes recent developments in treatment for mRCC. Upfront immuno-oncology (IO)-based combinations have improved survival, though concerns about overtreatment and toxicity persist. While the role of cytoreductive nephrectomy (CN) has declined to some extent, it may still benefit well-selected patients. Metastasis-directed therapies, including metastasectomy and stereotactic radiotherapy, provide prognostic value, particularly for oligometastatic lesions or brain metastases. Comprehensive genomic profiling (CGP) holds promise for personalized treatment but is currently limited by the lack of actionable mutations and predictive biomarkers.

EXPERT OPINION

A personalized, multimodal approach is essential for optimizing mRCC management. Careful patient selection is key to balancing the benefits of treatment with the risks of toxicity. While CN and metastasis-directed therapies remain useful in select cases, advancing individualized care requires the development of validated biomarkers and broader application of CGP.

Real-world study of cabozantinib treatment of advanced renal cell carcinoma in Taiwan

BACKGROUND

There is a lack of real-world evidence from Taiwan on the use of cabozantinib for advanced renal cell carcinoma (aRCC). We evaluated cabozantinib treatment for aRCC after previous antiangiogenic therapy in real-world Taiwanese clinical practice.

METHODS

Medical records from seven Taiwanese hospitals were retrospectively analyzed. Eligible patients were adults with aRCC who initiated cabozantinib between October 2018 and August 2021 after ≥1 antiangiogenic therapy. Patient characteristics and treatment patterns were described. Outcomes included objective response rate (ORR [complete or partial]; primary endpoint) assessed by RECIST v1.1 or local investigator assessment, progression-free survival (PFS), and tolerability.

RESULTS

Fifty-one patients were included: 39.2 % received cabozantinib second-line, 33.3 % third-line, and 27.5 % fourth- or later-line. Mean patient age was 61.2 years; most were male (80 %), had clear-cell (80 %), metastatic (92 %) disease, and had previous nephrectomy (78 %). Sunitinib and pazopanib were the most common previous (any line) treatments (63 % and 53 % of patients, respectively). Dose reductions occurred in 47 % of patients and were more common in patients (57 %) who initiated cabozantinib at 60 mg/day than in those (33 %) who initiated at 40 mg/day (72 % vs 12 %, respectively); discontinuation rates were similar for these groups (48 % vs 47 %, respectively). Overall, ORR was 39.2 % (95 % CI: 25.8, 53.9) and median PFS was 12.4 months (95 % CI: 8.2, 16.3). Rates of serious treatment-emergent adverse events related to cabozantinib were low (7.8 %).

CONCLUSION

This Taiwanese study found the real-world effectiveness and tolerability of cabozantinib after previous antiangiogenic therapy to be consistent with the results of the METEOR trial.

Deep Learning for Classification of Inflammatory Bowel Disease Activity in Whole Slide Images of Colonic Histopathology

Grading activity of inflammatory bowel disease (IBD) using standardized histopathological scoring systems remains challenging due to limited availability of pathologists with IBD expertise and interobserver variability. In this study, a deep learning model was developed to classify activity grades in hematoxylin and eosin-stained whole slide images (WSIs) from patients with IBD, offering a robust approach for general pathologists. This study utilized 2077 WSIs from 636 patients who visited Dartmouth-Hitchcock Medical Center in 2018 and 2019, scanned at ×40 magnification (0.25 μm/pixel). Board-certified gastrointestinal pathologists categorized the WSIs into four activity classes: inactive, mildly active, moderately active, and severely active. A transformer-based model was developed and validated using five-fold cross-validation to classify IBD activity. Using HoVer-Net, neutrophil distribution across activity grades was examined. Attention maps from the model highlighted areas contributing to its prediction. The model classified IBD activity with weighted averages of 0.871 (95% CI, 0.860-0.883) for the area under the curve, 0.695 (95% CI, 0.674-0.715) for precision, 0.697 (95% CI, 0.678-0.716) for recall, and 0.695 (95% CI, 0.674-0.714) for F1 score. Neutrophil distribution was significantly different across activity classes. Qualitative evaluation of attention maps by a gastrointestinal pathologist suggested their potential for improved interpretability. The model demonstrates robust diagnostic performance and could enhance consistency and efficiency in IBD activity assessment.

Feasibility study of using the PREDICT kidney tool for patients with localised renal cell carcinoma

Background

Localised renal cell carcinoma (RCC) is usually treated surgically, with post-operative imaging-based surveillance to monitor for recurrence. However, surveillance practices vary widely, and patients often lack a clear understanding of their risk of recurrence and follow-up care. The PREDICT Kidney tool has been developed to enhance risk communication by providing individualised recurrence and mortality risk estimates. The tool uses the Leibovich score augmented with English national data to provide a personalised risk assessment of cancer recurrence and death from other causes, presented in both numerical and visual formats.

Study Design

A multicentre, prospective feasibility study of incorporating the PREDICT Kidney risk communication tool into the first follow-up consultation for localised RCC patients post-surgery.

Endpoints

Patient uptake into the study, completeness of data collection, consultation duration, the acceptability of the tool to both patients and clinicians, clinician adherence to the study "best-practice" guide, variability in tool usage across clinicians and sites and patient-level clinical outcomes including subjective and objective comprehension of risk of recurrence and follow-up, perceived risk of cancer recurrence, risk conviction, satisfaction with the information provided on risk of recurrence and follow-up, and fear of cancer recurrence.

Patients and Methods

We aim to recruit 60 patients from three hospitals in England and Scotland. Patients treated with surgery for primary localised clear-cell RCC awaiting their first follow-up appointment will be invited to take part. Participants will be allocated into two groups: standard care and standard care supplemented with the use of the PREDICT Kidney tool. Data will be collected through questionnaires, audio/video recordings of consultations and interviews with a subset of patients and clinicians. The study period is planned from September 2024 to July 2025. The findings will guide the design of a future randomised controlled trial to evaluate the tool's efficacy in clinical settings.

KRM2 promotes renal cell carcinoma progression and inhibits ferroptosis by interacting with ATF2

The role of kringle-containing transmembrane protein 2 (KRM2) in renal cell carcinoma (RCC) remains unknown. This study aimed to explore KRM2's mechanistic role in regulating RCC progression. Tissue microarrays were used to map KRM2 expression in tumor tissues and analyze its relationship with RCC clinical features. Cell models were constructed by transfecting RCC cell lines with KRM2 knockdown, KRM2 overexpression, or ATF2 knockdown lentiviral vectors. Tumor xenografts were generated in nude mice to observe the effects of KRM2 on tumor formation. A gene expression microarray was used to identify the regulatory genes downstream of KRM2 and their binding relationships were verified by co-immunoprecipitation and cycloheximide pulse-chase assay. Through a series of in vitro experiments, effects of altering KRM2 and ATF2 expression on cell function and ferroptosis indicators were observed. Following these, we found that KRM2 expression significantly increased in RCC tumor tissues and was associated with tumor size, grade, stage, infiltration, and patient age. In vivo experiments confirmed that inhibition of KRM2 expression slowed the tumor growth. Silencing of KRM2 in RCC cells also significantly inhibited cell proliferation and migration and facilitated apoptosis and ferroptosis. ATF2 is predicted to be downstream of KRM2. Its expression is positively regulated by KRM2 and there was targeted binding between proteins. In vitro experiments further suggested that ATF2 knockdown reversed the cancer-promoting and ferroptosis-inhibiting effects of KRM2 in RCC. In conclusion, KRM2 plays an oncogenic role in RCC by promoting tumor progression and ferroptosis via regulation of its downstream target, ATF2.

Advances in Adjuvant Therapy for Renal Cell Carcinoma: Perspectives on Risk Stratification and Treatment Outcomes

Radical surgery is effective for localized renal cell carcinoma (RCC). However, recurrence occurs in up to 40% of patients, underscoring the need for adjuvant therapy to improve the prognosis. Historically, adjuvant treatments, including tyrosine kinase inhibitors, have shown limited success, failing to improve overall survival. The introduction of the immune checkpoint inhibitor pembrolizumab, as demonstrated in the KEYNOTE-564 trial, has revolutionized the field by showing significant overall survival benefits and prompting updates to RCC treatment guidelines. Accurate risk assessment is critical for identifying high-risk patients most likely to benefit from adjuvant therapy. Established risk models, such as the UCLA Integrated Staging System and the Leibovich score, incorporate clinical and pathological factors to stratify recurrence risk. Recent enhancements in these models have improved predictive accuracy, enabling better optimization of inclusion criteria for clinical trials targeting high-risk recurrence and the development of individualized surveillance protocols to refine patient selection for adjuvant treatment. This review examines the evolution of risk stratification models and adjuvant therapy for RCC, highlighting the potential of innovative biomarkers, such as liquid biopsies, to further enhance patient selection and optimize treatment outcomes. Ongoing clinical trials investigating new combinations of immune checkpoint inhibitors hold promise, and integrating accurate risk assessment with advanced immunotherapy will be key to improving postoperative survival rates for patients with RCC.

Exploring the efficacy of nivolumab and ipilimumab in renal cell carcinoma: insights from a district hospital cohort study

Background

Nivolumab and ipilimumab combination is recommended as a first-line treatment for metastatic renal cell carcinoma (mRCC) in patients without life-threatening symptoms. This study aims to assess the efficacy and safety of this treatment regimen administered in the one-day chemotherapy unit of a district hospital.

Materials and methods

We conducted a retrospective study involving 36 patients diagnosed with mRCC who had received combined immunotherapy at the Department of Chemotherapy, District Hospital in Sucha Beskidzka, Poland. We evaluated treatment response and adverse events (AEs). Laboratory parameters were recorded, and we calculated neutrophil-lymphocyte ratios (NLR), platelet-lymphocyte ratios (PLR), and lymphocyte-monocyte ratios (LMR) at baseline, after 3 months of treatment, and prior to disease progression.

Results

After a median follow-up of 11 months (7.5-17.5 months), the median overall survival was not reached (NR, 6.7-NR), while the median progression-free survival was 11.5 months (6.7-NR). The objective response rate was 30.6% (n = 11), and the disease-control rate was 66.7% (n = 24). Hemoglobin and eosinophil levels varied at three checkpoints, without differences in NLR, PLR, and LMR. AEs of any grade were observed in 23 patients (63.9%) with a median onset time of 3 months (2-4 months), and serious AEs in 13.8% of patients (n = 5).

Conclusions

Our analysis suggests that the combination of nivolumab and ipilimumab for mRCC has an acceptable toxicity profile and can be effectively managed in a district hospital's outpatient clinic. This approach requires close patient monitoring and collaboration with other hospital departments to ensure patient safety and treatment efficacy.

Liver metastasis from a chromophobe renal cell carcinoma 18 years after initial diagnosis: a case report

BACKGROUND

Chromophobe renal cell carcinoma is a rare histological subtype, accounting for only 5-6% of renal cell carcinoma cases. It exhibits low aggressiveness and has an overall favorable prognosis with a very low risk of developing metastatic disease. Genetic syndromes such as Birt-Hogg-Dubbé may be associated with this renal cell carcinoma subtype. Owing to limited clinical data, therapeutic regimens for advanced chromophobe renal cell carcinoma are often extrapolated from treatment protocols for clear cell renal cell carcinoma or studies combining several non-clear cell renal cell carcinoma types.

CASE PRESENTATION

We report a case of a 54-year-old Austrian male patient presenting with metastatic liver disease from chromophobe renal cell carcinoma, confirmed by biopsy, 18 years after the initial diagnosis of a non-metastasized, grade 2, pNO, pT2 tumor with R0 resection. The patient underwent regular follow-up examinations and had no clinical symptoms at the time of recurrent disease diagnosis. Family history for genetic syndromes was negative. The multidisciplinary tumor board decided to treat the patient with a novel first-line palliative therapy using combined immuno-/tyrosine kinase therapy with pembrolizumab/lenvatinib. A multiphasic computed tomography scan performed 3 months after initiation of therapy showed a complete response.

CONCLUSION

Although chromophobe renal cell carcinoma typically has excellent progression-free survival and overall survival rates in localized disease, those patients with larger tumors or those with sarcomatous features, as well as PT53 mutations, seem to have worse outcomes due to metastatic development. This case report affirms that patients with chromophobe renal cell carcinoma exhibiting these risk factors should undergo closer and long-term follow-up after curative surgery.

Prognostic and Therapeutic Implications of Alamandine Receptor MrgD Expression in Clear Cell Renal Cell Carcinoma with Development of Metastatic Disease

Despite advances in the management of advanced clear cell renal cell carcinoma (ccRCC), robust biomarkers for prognosis and therapeutic response prediction remain elusive. Dysregulation of the intrarenal renin-angiotensin system (RAS) has been implicated in renal carcinogenesis but little explored, particularly regarding biomarker discovery and therapeutic innovation. Consequently, this study investigates the immunohistochemical expression and clinical relevance of the Mas-related G-protein-coupled receptor D (MrgD) in patients with ccRCC who developed metastatic disease (mccRCC). A cohort of 132 patients treated between 2008 and 2018 with nephrectomy and tyrosine kinase inhibitor (TKI)-based sequential therapy was analyzed. Treatment response was assessed using both the MASS and RECIST scoring systems. High MrgD expression in primary tumors was significantly associated with larger size, advanced stage, higher histological grade, and worse overall survival. Among 81 patients with metachronous metastases, high MrgD expression independently predicted shorter disease-free survival. High MrgD staining intensity correlated with poorer TKI responses in first-line therapy but improved outcomes with second-line mTORC1 inhibitors. These findings suggest that MrgD may be a useful biomarker of RAS linked to tumor aggressiveness in ccRCC. MrgD holds potential for identifying high-risk patients and guiding treatment selection in advanced disease. Further research is needed to unlock its clinical potential.

Synthesis and biological assessment of BUB1B inhibitors for the treatment of clear cell renal cell carcinoma

Clear cell renal cell carcinoma (ccRCC) presents substantial therapeutic challenges due to its molecular heterogeneity, limited response to conventional therapies, and widespread drug resistance. Recent advancements in molecular research have identified novel targets, such as BUB1B, which has been identified through global transcriptomic profiling and gene co-expression network analysis as critical in ccRCC progression. In this study, we synthesized 40 novel derivatives of TG-101209 to modulate BUB1B expression and activity, leading to the induction of apoptosis in Caki-1 cells. The molecular structures of all compounds were confirmed via 1H and 13C NMR and mass spectrometry. Computational docking studies were conducted using Schrödinger Maestro software. The efficacy of the compounds on cell viability was screened using the MTT assay and further validated by the LDH assay. The expression of the target protein BUB1B and apoptosis-related proteins was analyzed via western blotting. BUB1B activity was assessed through an enzymatic assay, and compound binding efficacy was evaluated using a cellular thermal shift assay (CETSA). The results indicated that four compounds (7h, 8h, 8i, and 8j) demonstrate stronger molecular interactions and better conformational fit within the target cavity, leading to improved binding affinity. These compounds also exhibited more potency in reducing the viability of Caki-1 cells compared to TG-101209. In particular, compound 8h was identified as the most effective, exhibiting the strongest inhibitory effect on BUB1B and inducing apoptosis. Compound 8h demonstrated intracellular binding with BUB1B, similar to TG-101209, but through a different binding moiety that destabilizes the BUB1B protein structure, whereas TG-101209 stabilizes it. In conclusion, compound 8h, by destabilizing BUB1B and inducing apoptosis, shows promise as a potent therapeutic candidate for clear cell renal cell carcinoma (ccRCC) treatment.

Post-marketing surveillance data for avelumab + axitinib treatment in patients with advanced renal cell carcinoma in Japan: Subgroup analyses by pathological classification

OBJECTIVE

Clinical trials have demonstrated the efficacy and safety of avelumab + axitinib in patients with advanced clear cell renal cell carcinoma (ccRCC). However, information is limited regarding the activity of avelumab + axitinib in patients with non-clear cell RCC (nccRCC). In Japan, post-marketing surveillance (PMS) of patients with RCC receiving avelumab + axitinib treatment in general clinical practice was undertaken. We report ad hoc analyses of PMS data according to RCC pathological classification.

METHODS

Of 328 patients with RCC who received ≥1 dose of avelumab and were enrolled between December 2019 and May 2021, 271 (82.6%) had ccRCC, 22 (6.7%) had nccRCC, and 35 (10.7%) had missing or unknown RCC pathology. Among patients with nccRCC, pathological subtypes were papillary in 12 (3.7%), translocation in 3 (0.9%), acquired cystic disease associated in 3 (0.9%), chromophobe in 2 (0.6%), mucinous tubular and spindle cell in 1 (0.3%), and Bellini duct in 1 (0.3%).

RESULTS

Among patients with ccRCC or nccRCC, any-grade adverse drug reactions of safety specifications occurred in 140 (51.7%) and 15 (68.2%), and of grade ≥3 in 48 (17.7%) and 6 (27.3%), respectively. The objective response rate in patients with ccRCC or nccRCC was 36.9% and 22.7%, respectively; in patients with papillary tumors, it was 33.3%. Median overall survival was not reached in patients with ccRCC or nccRCC, and 12-month overall survival rates were 86.8% and 76.7%, respectively.

CONCLUSIONS

Overall, subgroup analyses of PMS data suggest that avelumab + axitinib improved clinical outcomes in nccRCC in addition to ccRCC.

Current use of percutaneous ablation in renal tumors: an analysis of the registry of the German Society for Interventional Radiology and Minimally Invasive Therapy

OBJECTIVE

To evaluate the success and complications of thermal ablation (TA) based on the voluntary, prospective registry of the German Society for Interventional Radiology and Minimally Invasive Therapy (DeGIR) with 303 participating centers from Germany, Austria, and Switzerland.

MATERIALS AND METHODS

Registry data from 2018 until 2023 of 1102 patients with small renal tumors (age: 72.5 ± 11.6 years; female: 33.6%, 370/1102) were analyzed. Hospitals with ≥ 20 TAs were considered high-volume centers. Technical success and complication rates between different parameters were compared using the chi-square or Fisher's exact test, p < 0.05 was considered statistically significant.

RESULTS

Patients were most frequently treated with radiofrequency ablation (RFA, 43.6%, 481/1102), then microwave ablation (MWA, 41.9%, 462/1102) or cryoablation (13.3%, 147/1102). Technical success for heat-based TA (RFA&MWA) was 94.3% (893/947), for cryoablation 97.3% (143/147). RFA&MWA was significantly more successful in lesions ≤ 3 cm (96.1%, 567/590) compared to 3-4 cm lesions (89.8%, 97/108; p = 0.005). In patients treated with cryoablation, no significant differences between sizes could be found (≤ 3 cm: 97.9%, 94/96; 3-4 cm: 85.7%, 12/14; p = 0.078). Complication rate was significantly higher in RFA&MWA of lesions 3-4 cm compared to ≤ 3 cm (≤ 3 cm: 3.9%, 23/590; 3-4 cm: 11.1%, 12/108, p = 0.002), while no significant differences were seen regarding cryoablation (≤ 3 cm: 1.0%, 1/96; 3-4 cm: 0.0%, 0/14; p = 1.000).

CONCLUSIONS

In this exploratory analysis of the DeGIR registry, percutaneous TA of small renal masses is technically feasible with low complication rates. Heat-based TAs seem to have lower success rates and higher complication rates in larger tumors. Cryoablation could potentially be a safe alternative for 3- to 4-cm-sized tumors.

KEY POINTS

Question How effective is renal thermal ablation (TA) in terms of treatment success and complication rates? Findings In contrast to cryoablation, heat-based thermal ablation has lower success and higher complication rates in tumors measuring 3-4 cm compared to tumors < 3 cm. Clinical relevance Thermal ablation is not influenced by the need for additional techniques such as cooling, protective organ displacement, or temporary vessel occlusion. For small renal tumors, TA is an effective and safe treatment option. Cryoablation could be beneficial in larger tumors.

Association Between Lupus Nephritis and Renal Clear-Cell Carcinoma: A Case Report and Review of the Literature

Systemic lupus erythematosus (SLE) is an autoimmune disease affecting several organs, including the kidneys, potentially leading to lupus nephritis (LN). SLE has also been associated with several neoplasias, but its relation to renal cell carcinoma (RCC) has been little explored. We report a young women diagnosed concomitantly with LN and RCC. The latter was discovered incidentally during an investigation of nephrotic syndrome and confirmed on histology and renal microscopy. The patient was submitted to partial nephrectomy and immunosuppression, with good outcome, as shown by the improvement in proteinuria and other symptoms. Our case highlights the complexity of diagnosing SLE in combination with RCC and the importance of permanent surveillance and multidisciplinary approach to optimize treatment.

ALB inhibits tumor cell proliferation and invasion by regulating immune microenvironment and endoplasmic reticulum stress in clear cell renal cell carcinoma

OBJECTIVE

The aim of this work is to identify putative hub genes for the advancement of clear cell renal cell carcinoma (ccRCC) and determine the fundamental mechanisms.

METHODS

We employed multiple bioinformatics techniques to screen hub genes. Key hub gene expression levels in ccRCC were assessed. A plethora of functional experiments were carried out to explore the biological role of hub gene. Based on genome-wide association studies, a Mendelian randomization research was conducted to ascertain the causative relationship between albumin (ALB) and ccRCC.

RESULTS

ALB was low expression in ccRCC tissues and cell lines. It was an independent predictor of progression-free survival following treatment and the overall survival of ccRCC patients. ALB overexpression exhibited the reverse effects of ALB knockdown, which increased cell proliferation, migration, and invasion while inhibiting cell death. Similarly, ALB overexpression inhibited the growth of ccRCC tumors in vivo. Consistent with functional enrichment analysis, ALB overexpression activates the endoplasmic reticulum stress (ERS) in vitro and vivo. The Mendelian randomization showed ALB was associated with the risk of ccRCC. Additionally, ALB was causally associated with γδT cells infiltrates in ccRCC.

CONCLUSION

ALB plays an important effect in ccRCC via activation of the ERS and regulating immune microenvironment.

STELLAR-304: a phase III study of zanzalintinib (XL092) plus nivolumab in advanced non-clear cell renal cell carcinoma

Management of advanced non-clear cell renal cell carcinoma (nccRCC) is challenging due to disease rarity and heterogeneity. The combination of multi-targeted tyrosine kinase inhibitor (TKI) with immune checkpoint inhibitor (ICI) has emerged as an effective treatment strategy, but well-designed, phase III randomized clinical trials are needed to demonstrate superiority over current treatment options. Zanzalintinib is a novel, multi-targeted TKI that has demonstrated promising preclinical anti-tumor activity in combination with ICIs. STELLAR-304 is a phase III trial evaluating first-line zanzalintinib plus nivolumab versus sunitinib in advanced nccRCC. Primary endpoints are progression-free survival and objective response rate. Secondary endpoint is overall survival. To our knowledge, STELLAR-304 is the first phase III study assessing a TKI-ICI combination in nccRCC patients across multiple subtypes.Clinical Trial Registration: This trial is registered at ClinicalTrials.gov (identifier: NCT05678673).

A Review of FDA-Approved Multi-Target Angiogenesis Drugs for Brain Tumor Therapy

Neovascularization is an important process in brain tumor development, invasion and metastasis. Several research studies have indicated that the VEGF signaling target has potential for reducing angiogenesis in brain tumors. However, targeting VEGF signaling has not met the expected efficacy, despite initial enthusiasm. This is partly because tumors cleverly use alternative growth factor pathways, other than VEGF signaling, to restore angiogenesis. Multi-target inhibitors have been developed to inhibit several receptor kinases that play a role in the development of angiogenesis. By simultaneously affecting various receptor kinases, these treatments can potentially obstruct various angiogenic pathways that are involved in brain cancer advancement, often offering a more holistic strategy than treatments focusing on just one kinase. Since 2009, the FDA has approved a number of multi-kinase inhibitors that target angiogenic growth factor receptors (e.g., VEGFR, PDGFR, FGFR, RET, c-KIT, MET, AXL and others) for treatment of malignant diseases, including brain cancer. Here, we present some recent results from the literature regarding the preclinical and clinical effects of these inhibitors on brain tumors.

Comparing the outcomes of robotic vs. open partial nephrectomy in obese patients: a meta-analysis and systematic review

This meta-analysis examines and compares the perioperative results (such as complications, recovery, and other surgical outcomes) in obese patients who undergo either robotic-assisted partial nephrectomy (RPN) or open partial nephrectomy (OPN). Essentially, the study is looking at how these two types of surgeries perform in obese patients, specifically focusing on outcomes related to the surgery process itself. We conducted a comprehensive search of major databases, including PubMed, Cochrane Library, and Web of Science, focusing on English studies, up to November 2024. Review articles, research protocols without published data, conference abstracts, and irrelevant studies were excluded. We performed data analysis using the Cochran-Mantel-Haenszel method and random-effects models, followed by mean differences, inverse variance, and 95% confidence intervals (CIs). The results were presented as odds ratios (ORs) and 95% CIs, and data with p values less than 0.05 were identified. This meta-analysis included three cohort studies with a total of 604 patients. Compared to OPN, RPN was associated with significantly shorter hospital stays (WMD  - 2.27, 95% CI  - 3.67 to  - 0.87; p = 0.002), lower overall complication rates (OR 0.50, 95% CI 0.34-0.73; p = 0.0004), and reduced estimated blood loss (WMD  - 125.12, 95% CI  - 198.02 to  - 52.22; p = 0.0008). No significant differences were found between the two groups in transfusion rates, major complications, renal ischemia times, or operative times. RPN offers a safe and feasible option for obese patients compared to OPN, with advantages such as shorter hospital stays, reduced blood loss, and fewer overall complications.

MAGI3 enhances sensitivity to sunitinib in renal cell carcinoma by suppressing the MAS/ERK axis and serves as a prognostic marker

Clear cell renal cell carcinoma (ccRCC) exhibits considerable heterogeneity, with approximately 25% of localized cases susceptible to relapse, highlighting the challenge of the absence of reliable predictive biomarkers for personalized treatment. Meanwhile, metastatic renal cell carcinoma is characterized by unfavorable survival rates, and although Sunitinib offers partial benefits, the clinical advantages are often constrained by drug resistance and adverse side effects. Here, MAGI3 was associate with ccRCC progression, as identified through comprehensive bioinformatics analysis of clinical datasets. A low level of MAGI3 emerged as a high-risk factor for ccRCC, indicating its potential as a prognostic marker. Individuals with MAGI3 expression in middle-to-low levels displayed a significantly poorer survival rate, indicating a need for additional treatment even in the early stages of ccRCC. Furthermore, patients with MAGI3 expression in middle-to-high levels exhibited increased sensitivity to Sunitinib compared to those with lower MAGI3 levels, suggesting that individuals with MAGI3 expression at middle levels may potentially benefit from Sunitinib treatment even in the early stages of ccRCC. Through its interaction with the MAS receptor, MAGI3 has been identified as a regulator of cell proliferation and a determinant of Sunitinib resistance in ccRCC, operating via the Ang-(1-7)/MAS/ERK axis. The loss of MAGI3 expression in ccRCC patients activated the ERK signaling pathway, contributing to both cancer progression and Sunitinib resistance. Therefore, our study not only highlight MAGI3's pivotal role in ccRCC progression and Sunitinib resistance, but also reinforces MAGI3's prospective value as a predictive marker.

Soluble CD206 in metastatic renal cell carcinoma: Relation to clinical-biochemical parameters and patient outcome

The mannose receptor (MR/CD206) is a marker of M2-like tumor-associated macrophages. Membrane CD206 can be shed, releasing the receptor as a soluble protein (sCD206), which can be measured in serum. Here, we investigated the biomarker potential of sCD206 in patients with metastatic renal cell carcinoma (mRCC). Serum sCD206 was measured by an enzyme-linked immunosorbent assay in 88 mRCC patients and 20 healthy controls (HCs). At diagnosis, serum sCD206 was elevated in patients with intermediate-risk mRCC according to the Memorial Sloan Kettering Cancer Center (MSKCC) risk score, compared to both HCs and patients with favorable MSKCC risk score. Furthermore, sCD206 levels correlated with both sCD163 and C-reactive protein. Soluble CD206 levels decreased after treatment initiation (p < .0001 at 5 weeks) but with a tendency toward elevated levels at time of progression, compared to baseline (p = .06). In univariate survival analysis, high levels of serum sCD206 at baseline was a significant risk factor associated with reduced overall survival (hazard ratio [HR] = 1.37, 95% confidence interval: 1.12-1.67, p = .002). Stratified by clinical risk scores, increased sCD206 was still a statistically significant risk factor of overall mortality (p < .01) in the intermediate-risk group by both the MSKCC (HR = 1.48) and the newer International Metastatic RCC Database Consortium (IMDC) score (HR = 1.53). Furthermore, addition of sCD206 as a dichotomized variable to the IMDC risk score enabled separation of the intermediate-risk group into two groups with survival comparable to those with favorable and poor risk, respectively. Overall, sCD206 is a potential add-on biomarker for mRCC patients in the intermediate-risk group of the current clinical risk scores.

Metabolic signature of renal cell carcinoma tumours and its correlation with the urinary metabolome

INTRODUCTION

Despite considerable advances in cancer research, the increasing prevalence and high mortality rate of clear cell renal cell carcinoma (ccRCC) remain a significant challenge. A more detailed comprehension of the distinctive metabolic characteristics of ccRCC is vital to enhance diagnostic, prognostic, and therapeutic strategies.

OBJECTIVES

This study aimed to investigate the metabolic signatures of ccRCC tumours and, for the first time, their correlation with the urinary metabolome of the same patients.

METHODS

We applied a gas chromatography-mass spectrometry (GC-MS)-based metabolomic approach to analyse matched tissue and urine samples from a cohort of 18 ccRCC patients and urine samples from 18 cancer-free controls. Multivariate and univariate statistical methods, as well as pathway and correlation analyses, were performed to assess metabolic dysregulations and correlations between tissue and urine.

RESULTS

The results showed a ccRCC metabolic signature characterized by reprogramming in amino acid, energy, and sugar and inositol phosphate metabolisms. Our study identified, for the first time, significantly decreased levels of asparagine, proline, gluconate, 3-aminoisobutanoate, 4-aminobutanoate and urea in ccRCC tumours, highlighting the involvement of arginine biosynthesis, β-alanine metabolism and purine and pyrimidine metabolism in ccRCC. The correlations between tissue and urine metabolomes provide evidence for the potential usefulness of urinary metabolites in understanding systemic metabolic changes driven by RCC tumours.

CONCLUSIONS

These findings significantly advance our understanding of metabolic reprogramming in ccRCC and the systemic metabolic changes associated with the disease. Future research is needed to validate these findings in larger cohorts and to determine their potential implications for diagnosis and targeted therapies.

Human immunodeficiency virus-related renal cell carcinoma: a 13.5-year experience

BACKGROUND

Few reports have focused on renal cell carcinoma (RCC) in the people with HIV(PWH).

METHODS

We analyzed patients diagnosed with RCC at our center between January 2011 and June 2024, divided into groups based on their HIV status. Categorical variables were compared using the chi-square test, and continuous variables were analyzed with the t-test. We estimated median and 1-, 3-, and 5-year cancer-specific survival (CSS) using Kaplan-Meier curves and conducted univariate and multivariate Cox analyses to evaluate variables associated with CSS.

RESULTS

In total, 144 RCC patients were assigned to either PWH group (n = 48) or PWoH (people without HIV) group (n = 96). Patients in the PWH group were significantly more likely to be male (91.7% vs. 71.8%, p = 0.014), and their median age was 7 years younger than that in the PWoH group (51 vs. 58 years, p < 0.01). Both groups had small-diameter, early-stage, low-grade tumors, with no significant differences in short-term outcomes. Higher tumor stage (> T1 vs. T1: hazard ratio = 8.621, 95% confidence interval = 3.76-20, p < 0.01) and larger tumor diameter (≥ 7 vs. <7 cm: hazard ratio = 3.525, 95% confidence interval = 1.697-7.321, p < 0.01) were significantly associated with CSS, whereas the HIV status did not significantly affect long-term survival.

CONCLUSIONS

RCC tends to be diagnosed at a younger age in PWH, highlighting the need for earlier RCC screening in this population. The HIV status does not affect postoperative recovery, short-term outcomes, or long-term survival in patients with RCC.

Towards a Consensus on the Management of Metastatic Renal Cell Carcinoma: Insights from a European Delphi Study

BACKGROUND AND OBJECTIVE

Management of metastatic renal cell carcinoma (mRCC) remains complex despite clinical guidelines. The aim of this Delphi study was to achieve consensus among RCC experts on the definition, diagnosis, and first-line treatments for mRCC.

METHODS

Between May 2023 and April 2024, 14 experts from ten European countries completed two Delphi rounds of a 51-item questionnaire covering four topics: (1) oligometastatic RCC; (2) first-line treatment for metastatic clear-cell RCC; (3) treatment duration for metastatic clear-cell RCC; and (4) treatment of non-clear-cell RCC. Agreement was scored as absent/poor (<50%), fair (50-74%), or consensus (≥75%).

KEY FINDINGS AND LIMITATIONS

Consensus was reached for 12 of 51 items (24%) in the first round and 25 of 49 items (51%) by the study end. Notably, 79% of experts defined oligometastatic RCC as five or fewer metastases and agreed that it typically does not require immediate systemic treatment. All experts (100%) emphasized the importance of clinical performance status in guiding treatment for metastatic clear-cell RCC, with 86% agreeing on additional factors such as International Society of Urological Pathology grade and sarcomatoid features. Nivolumab plus cabozantinib was favored for patients with brain or bone metastases (93% and 86% agreement, respectively), while there was fair agreement on pembrolizumab plus lenvatinib for patients with liver metastases. In addition, 71% supported stopping immune checkpoint inhibitors after 2 yr, while 86% agreed on the undefined duration of tyrosine kinase inhibitor therapy.

CONCLUSIONS AND CLINICAL IMPLICATIONS

This Delphi study offers insights into mRCC management, and highlights the importance of multidisciplinary discussions for this challenging disease.

Health-related Quality of Life Assessment in Renal Cell Cancer: A Scoping Review

BACKGROUND AND OBJECTIVE

In oncology, patient-reported outcome measures (PROMs) capturing health-related quality of life (HRQOL) play an increasing role in clinical trials, drug approval, and policy making. This scoping review aimed to identify and elaborate on HRQOL-focussed PROMs used in renal cell cancer (RCC) clinical trials.

METHODS

MEDLINE, Web of Science, PsychINFO, Academic Search Elite, CINAHL, Embase, and the Cochrane Library were searched systematically for original peer-reviewed articles on clinical trials including RCC patients and using PROMs, published between 1950 and 2023. Prespecified trial characteristics and information on the PROMs used were extracted. Frequencies and proportions of categorical data, and ranges and medians of continuous variables were calculated.

KEY FINDINGS AND LIMITATIONS

Of the 48 unique studies included, the majority followed a randomised controlled design (34, 71%) and evaluated systemic treatments (38, 79%). The trials used 27 different PROMs (max = 6, median = 2), of which only 4 (15%) were developed specifically for kidney cancer patients. Of the trials, 46% did not use any RCC-specific PROM. European Quality of Life-5 Dimensions (EQ-5D), European Organisation for Research and Treatment of Cancer Quality of Life Core Questionnaire (EORTC QLQ-C30), Functional Assessment of Cancer Therapy Kidney Symptom Index (FKSI) -15/19-item version, FKSI-Disease Related Symptoms, and Functional Assessment of Cancer Therapy-General (FACT-G) were the most frequently used questionnaires, with pain, ability to work, fatigue, worry, and sleep quality being the most commonly assessed issues.

CONCLUSIONS AND CLINICAL IMPLICATIONS

A variety of PROMs are used in RCC patients, hindering interpretability across trials. The PROMs used differ in terms of both the domains assessed and how the issues are translated into questionnaire items. Though RCC-specific PROMs exist, these have flaws in terms of relevance to patients. To answer predefined relevant HRQOL research questions, revised RCC-specific PROMs and standardisation of their integration into clinical trials are warranted.

PATIENT SUMMARY

Researchers are more and more interested in the health-related quality of life of kidney cancer patients and use questionnaires to measure it. This review shows that there are many different health-related quality of life questionnaires that are used in different combinations in clinical trials for kidney cancer patients. This makes it very difficult to compare these study results and draw reliable conclusions for the actual clinical treatment. It was even found that some of the questionnaires used do not capture things that patients actually consider important (eg, emotional issues such as dealing with thoughts about cancer and depression). Therefore, more work needs to be done to develop questionnaires that ask what is really important to kidney cancer patients' health-related quality of life. If these questionnaires are used in a consistent way in clinical trials, the results can be better compared. This will help treat kidney cancer patients in the best possible way.

First and Second-line Treatments in Metastatic Renal Cell Carcinoma

BACKGROUND AND OBJECTIVE

The treatment landscape for metastatic renal cell carcinoma (mRCC) has evolved significantly in recent years, leading to improved outcomes. The aim of this review is to provide clinicians with a practical guide for selecting first- and second-line treatments on the basis of current evidence.

METHODS

We critically evaluated systemic treatment strategies for mRCC. A comprehensive literature search was conducted in PubMed and Embase, alongside manual searches of guidelines and conference proceedings up to October 2024. A narrative review was performed to reach a consensus, with voting used to resolve differing opinions among authors.

KEY FINDINGS AND LIMITATIONS

First-line treatment options include immune checkpoint inhibitor (ICI)-based combinations or tyrosine kinase inhibitors (TKIs). Four combination regimens have been approved internationally. Owing to the lack of head-to-head trials and standardized biomarkers, treatment decisions rely on factors such as International Metastatic RCC Database Consortium (IMDC) risk score, functional status, safety profiles, sarcomatoid features, use of immunosuppressive drugs, and need for immediate response. Despite advances, many patients will experience disease progression on ICI-based therapy, necessitating further treatment. The need for standardized second-line approaches remains unmet. TKIs, alone or with everolimus, show promising efficacy, while HIF2a inhibitors offer newer options with a favorable toxicity profile. Rechallenge with ICIs after early progression is not recommended.

CONCLUSIONS AND CLINICAL IMPLICATIONS

For optimal mRCC treatment selection, clinicians must carefully balance efficacy, toxicity, and patient preferences, especially when transitioning between first- and second-line therapies, to provide individualized care.

Transperitoneal vs retroperitoneal robotic partial nephrectomy: a meta-analysis and systematic review of propensity-matched studies

The main aim of this meta-analysis is to assess and compare the impact of two different surgical approaches, transperitoneal and retroperitoneal, on perioperative outcomes in robotic partial nephrectomy. A systematic search of MEDLINE, PubMed, Google Scholar, and the Cochrane Database was conducted to identify relevant studies published between January 2000 and January 2025. Included were nine non-randomized controlled trials with a total of 2420 patients with matching propensity scores. Among these patients, 1321 had robotic TPPN and 1099 had robotic RPPN, the abbreviation for robotic partial nephrectomy. Shorter operating times, shorter hospital stays, less estimated intraoperative blood loss, and fewer total postoperative problems were related to RPPN compared to TPPN. There were no notable disparities between the two groups when comparing the duration of renal ischemia, the fall in postoperative glomerular filtration rate (GFR), the occurrence of serious postoperative sequelae, or the necessity for blood transfusions. Compared to TPPN, RPPN demonstrates certain advantages in perioperative metrics such as surgical time, hospital stay, and overall complication rates. However, further high-quality studies are needed to confirm these findings.

Are we underestimating pathological fracture risk in malignant bone lesions of the proximal humerus?

OBJECTIVE

This study is aimed at evaluating the distribution of metastatic bone disease (MBD), with a particular focus on the humerus, and its association with pathological fractures. Factors for contributing to the underestimation of fracture risk were assessed, including their impact on surgical management.

MATERIALS AND METHODS

We retrospectively reviewed patient records of patients undergoing surgical treatment for MBD at our institution between 2005 and 2023. The analysis included factors such as medical history, tumour type, metastatic status, surgical method, lesion location, and imaging. The images of local and staging studies (CT chest/abdomen/pelvis, CT skeleton body, bone scan, PET/CT) were reviewed by two observers. Group comparisons were made based on lesion localisation.

RESULTS

The two most affected bone regions were the proximal femur (39.4%), followed by the proximal humerus (13.5%). Lesions of the proximal humerus were significantly more likely to be associated with pathological fractures compared to those of the proximal femur and other localisations (p < 0.01). Identified potential causes include less frequent depiction of the proximal humerus during staging (29% vs. 79% and 51%; p < 0.01) and overall lower Mirel's scores despite the number of fractures (8 vs. 10 and 9; p < 0.01).

CONCLUSION

Metastatic bone disease (MBD) in the proximal humerus is less frequently captured in current staging imaging, particularly CT chest/abdomen/pelvis. Additionally, fracture prediction using Mirel's scoring often underestimates the actual risk. Staging investigations should include this region more comprehensively, and even when correctly imaged, better tools are needed to evaluate bone metastases effectively.

Adjuvant Nivolumab for Localized Renal Cell Carcinoma at High Risk of Recurrence After Nephrectomy: Part B of the Randomized, Placebo-Controlled, Phase III CheckMate 914 Trial

PURPOSE

CheckMate 914 is a two-part, randomized phase III trial evaluating adjuvant nivolumab plus ipilimumab (part A) or adjuvant nivolumab monotherapy (part B) versus placebo in mutually exclusive populations of patients with localized renal cell carcinoma (RCC) at high risk of postnephrectomy recurrence. Part A showed no disease-free survival (DFS) benefit for adjuvant nivolumab plus ipilimumab versus placebo. We report results from part B.

METHODS

Patients were randomly assigned (2:1:1) to nivolumab (240 mg once every 2 weeks for up to 12 doses), placebo, or nivolumab (240 mg once every 2 weeks for up to 12 doses) plus ipilimumab (1 mg/kg once every 6 weeks for up to four doses). The planned treatment duration was 24 weeks (approximately 5.5 months). The primary end point was DFS per blinded independent central review (BICR) for nivolumab versus placebo; safety was a secondary end point.

RESULTS

Overall, 825 patients were randomly assigned to nivolumab (n = 411), placebo (n = 208), or nivolumab plus ipilimumab (n = 206). With a median follow-up of 27.0 months (range, 18.0-42.4), the primary end point of improved DFS per BICR with nivolumab versus placebo was not met (hazard ratio [HR], 0.87 [95% CI, 0.62 to 1.21]; P = .40); the median DFS was not reached in either arm, and 18-month DFS rates were 78.4% versus 75.4%. The HR for DFS per investigator was 0.80 (95% CI, 0.58 to 1.12; P = .19). Grade 3-4 all-cause adverse events (AEs) occurred in 17.2%, 15.0%, and 28.9% of patients with nivolumab, placebo, and nivolumab plus ipilimumab, respectively. Any-grade treatment-related AEs led to discontinuation in 9.6%, 1.0%, and 28.4%, respectively.

CONCLUSION

Part B of CheckMate 914 did not meet the primary end point of improved DFS for nivolumab versus placebo in patients with localized RCC at high risk of postnephrectomy recurrence.

A retrospective single-center pilot study of the genetic background of the transplanted kidney

INTRODUCTION

Renal cell carcinoma (RCC) is one of the most prevalent cancers in kidney transplant recipients (KTR). The hereditary background of RCC in native kidneys has been determined, implicating its clinical importance.

MATERIALS AND METHODS

This retrospective single-center pilot study aimed to identify a potential genetic predisposition to RCC of the transplanted kidney and outcome in KTR who underwent single kidney transplantation between January 2000 and December 2020 and manifested RCC of the transplanted kidney. Next-generation sequencing (NGS) based germline genetic analysis from peripheral blood-derived genomic DNA (gDNA) was performed in both the recipient and donor using a gene panel targeting 226 cancer predisposition genes.

RESULTS

The calculated incidence of RCC of the transplanted kidney among 4146 KTR was 0.43%. In fifteen KTR and donors, NGS was performed. The mean KTR age at transplantation and the diagnosis of RCC was 50.3 years (median 54; 5-67 years) and 66 years (median 66; 24-79 years), respectively. The mean donor age at transplantation and graft age at RCC diagnosis was 39.7 years (median 42; 7-68 years) and 50.2 years (median 46; 20-83 years), respectively. The mean follow-up after RCC diagnosis was 47 months (median 39.1; 0-112 months). Papillary RCC was the most prevalent (n = 8), followed by clear cell RCC (n = 6) and unspecified RCC (n = 1). Thirteen RCCs were low-stage (pT1a/b) diseases, one was pT3, and one was of unknown stage. Most RCC was higher graded. No germline pathogenic cancer-predisposition variant was found in either KTR or donors except for several variants of uncertain significance.

CONCLUSION

RCC of the transplanted kidney is very rare. Germline cancer-predisposition testing has identified several variants of uncertain significance, but no germline genetic predisposition to graft RCC in KTR. Further research is needed to assess the clinical relevance of genetic testing for cancer risk in KTR.

Cost-effectiveness analysis of microwave ablation versus robot-assisted partial nephrectomy for patients with small renal masses in Australia

OBJECTIVES

Microwave ablation (MWA) has gained attention as a minimally invasive and safe alternative to surgical intervention for patients with small renal masses; however, its cost-effectiveness in Australia remains unclear. This study conducted a cost-effectiveness analysis to evaluate the relative clinical and economic merits of MWA compared to robotic-assisted partial nephrectomy (RA-PN) in the treatment of small renal masses.

METHODS

A Markov state-transition model was constructed to simulate the progression of Australian patients with small renal masses treated with MWA versus RA-PN over a 10-year horizon. Transition probabilities and utility data were sourced from comprehensive literature reviews, and cost data were estimated from the Australian health system perspective. Life-years, quality-adjusted life-years (QALYs), and lifetime costs were estimated. Modelled uncertainty was assessed using both deterministic and probabilistic sensitivity analyses. A willingness-to-pay (WTP) threshold of $50,000 per QALY was adopted. All costs are expressed in 2022 Australian dollars and discounted at 3% annually. To assess the broader applicability of our findings, a validated cost-adaptation method was employed to extend the analysis to 8 other high-income countries.

RESULTS

Both the base case and cost-adaptation analyses revealed that MWA dominated RA-PN, producing both lower costs and greater effectiveness over 10 years. The cost-effectiveness outcome was robust across all model parameters. Probabilistic sensitivity analyses confirmed that MWA was dominant in 98.3% of simulations at the designated WTP threshold, underscoring the reliability of the model under varying assumptions.

CONCLUSION

For patients with small renal masses in Australia and comparable healthcare settings, MWA is the preferred strategy to maximize health benefits per dollar, making it a highly cost-effective alternative to RA-PN.

Microwave vs radiofrequency ablation for small renal masses: perioperative and oncological outcomes

OBJECTIVE

To conduct a comprehensive comparison of microwave ablation (MWA) vs radiofrequency ablation (RFA) outcomes in the treatment of small renal masses (SRMs), specifically: TRIFECTA ([i] complete ablation, [ii] absence of Clavien-Dindo Grade ≥III complications, and [iii] absence of ≥30% decrease in estimated glomerular filtration rate) achievement, operative time (OT), and local recurrence rate (LRR).

PATIENTS AND METHODS

We retrospectively analysed 531 patients with SRMs (clinical T1a-b) treated with MWA or RFA at a single centre (2008-2022). First, multivariable logistic regression models were used for testing TRIFECTA achievement. Second, multivariable Poisson regression models were used to evaluate variables associated with longer OT. Finally, Kaplan-Meier plots depicted LRR over time. All analyses were repeated after 1:1 propensity score matching (PSM).

RESULTS

Of 531 patients with SRMs, 373/531 (70.2%) underwent MWA and 158/531 (29.8%) RFA. MWA demonstrated superior TRIFECTA achievement (314/373 [84.2%]) compared to RFA (114/158 [72.2%], P = 0.001). These differences were driven by higher rates of complete ablation in MWA- vs RFA-treated patients (348/373 [93.3%] vs 137/158 [86.7%], P < 0.001). In multivariable logistic regression models, MWA was associated with higher TRIFECTA achievement, compared to RFA, before (odds ratio [OR] 1.92, P = 0.008) and after PSM (OR 1.99, P = 0.023). Finally, the median OT was shorter for MWA vs RFA (105 vs 115 min; P = 0.002). At Poisson regression analyses, MWA predicted shorter OT before (incidence rate ratio [IRR] 0.86, P < 0.001) and after PSM (IRR 0.85, P < 0.001). Local recurrence occurred in 17/373 (4.6%) MWA-treated patients and 21/158 (13.3%) RFA-treated patients (P = 0.29) after a median (interquartile range) follow-up of 24 (8-46) months. There were no differences in the LRR in Kaplan-Meier plots before (P = 0.29) and after PSM (P = 0.42).

CONCLUSION

Microwave ablation provides higher TRIFECTA achievement, and shorter OT than RFA. No significant differences were found regarding the LRR.

Systemic therapy for non-clear cell renal cell carcinomas: A systematic review

OBJECTIVE

Renal cell carcinoma (RCC) is the most common kidney cancer, with clear cell RCC being the predominant subtype. However, non-clear cell RCC constitutes a significant proportion of cases, presenting distinct challenges in treatment due to its varied histological subtypes. Despite recent advancements, the optimal therapeutic approach for non-clear cell RCC remains uncertain due to limited high-quality evidence. This systematic review aims to evaluate the efficacy of systemic therapies in nccRCC subgroups.

DATA SOURCE

A comprehensive literature search identified studies from 2010 to 2024, using PubMed and Clinicaltrials.gov databases focusing on clinical trials and treatment outcomes.

DATA SUMMARY

Results highlight the evolving therapeutic landscape, with targeted agents and immunotherapy demonstrating promising anti-tumor effects. Notably, tyrosine kinase inhibitors (TKIs) such as sunitinib and mTOR inhibitors like temsirolimus have shown efficacy across different subtypes. Combination therapies, including immunotherapy-based regimens, have also shown favorable outcomes. immune checkpoint inhibitors such as nivolumab and pembrolizumab demonstrated encouraging antitumor activity. Furthermore, specific targeting of signaling pathways, such as the c-MET pathway, has demonstrated efficacy in certain PapillaryRCC.

CONCLUSION

While combination therapies, including immunotherapies, have shown positive outcomes, immune checkpoint inhibitors like nivolumab and pembrolizumab have demonstrated encouraging antitumor activity. Additionally, targeting the c-MET pathway has proven effective in certain papillary RCC. Further research is warranted to establish optimal treatment strategies and improve outcomes for patients with non-clear cell RCC. Systemic therapy for non-clear cell RCC is complex and evolving. Further research is needed to delineate optimal treatment strategies for different histological subtypes and improve patient outcomes.

Racial-Ethnic Comparisons in Surgical Treatment and Outcomes of Non-Metastatic Renal Cell Cancer in an Equal Access Health System

BackgroundAccess to care has been implicated in racial-ethnic disparities in surgical treatment and survival for patients with renal cell carcinoma (RCC) in the United States. We assessed whether there were racial-ethnic disparities in surgery receipt and clinical outcomes of RCC in the equal access U.S. Military Health System (MHS).Materials and MethodsWe used the MilCanEpi database to study a cohort of patients aged 18 and older who were diagnosed with stage I-III RCC between 1998 and 2014. Treatment with nephrectomy was evaluated in Poisson regression models expressed as adjusted incidence rate ratios (AIRRs) with 95% confidence intervals (CIs). Risk of recurrence and all-cause death were estimated using multivariable Cox regression models.ResultsThe study included 1371 non-Hispanic White, 362 non-Hispanic Black, and 177 Hispanic patients. Black patients had lower rates of nephrectomy compared to non-Hispanic White patients overall (AIRR = 0.83, 95% CI = 0.72, 0.95) and in strata for stage I (AIRR = 0.74, 95% CI = 0.64, 0.87) or clear cell subtype (AIRR = 0.57, 95% CI = 0.42, 0.77). Hispanic patients had similar overall rates of nephrectomy as non-Hispanic White patients (AIRR = 1.16, 95% CI = 0.98, 1.37) and higher rates among those with clear cell RCC (AIRR = 1.40, 95% CI = 1.01, 1.96). Black patients had lower risk of recurrence (AHR = 0.61, 95% CI = 0.41, 0.92) relative to non-Hispanic White patients with no other racial-ethnic differences in outcomes in multivariable models.ConclusionIn the equal access MHS, there were some significant variations in rates of nephrectomy between racial-ethnic groups overall and among patient subgroups by tumor stage and histology. Despite observed lower surgery rates among non-Hispanic Black patients, the risk of recurrence or survival was lower or equal as compared to non-Hispanic White patients with non-metastatic RCC. Further research on factors other than access to care that may explain the differences in treatment and outcomes among racial-ethnic groups is needed.

Pulmonary Metastasectomy after Immune Checkpoint Inhibitors in Renal Cell Carcinoma

The management of oligometastatic renal cell carcinoma with pulmonary metastases is controversial and occasionally requires multimodality management, including salvage pulmonary metastasectomy after immune checkpoint inhibitors (ICIs). However, limited data are available on these patients. We describe a case series of three consecutive patients who underwent salvage pulmonary metastasectomy after ICIs for oligometastatic renal cell carcinoma and discussed the important characteristics of these patients. After salvage pulmonary metastasectomy, none of the patients had recurrent pulmonary metastases, although one of them developed a brain metastasis postoperatively. Our case series suggests that salvage pulmonary metastasectomy after ICIs may control pulmonary metastases in carefully selected patients with oligometastatic renal cell carcinoma, although the management of extrapulmonary metastases may be required after salvage pulmonary metastasectomy.

Avelumab + axitinib treatment in older patients with advanced renal cell carcinoma in Japan: Subgroup analyses of post-marketing surveillance data by age

INTRODUCTION

Avelumab + axitinib was approved in Japan in December 2019 for the treatment of curatively unresectable or metastatic renal cell carcinoma (RCC) based on results from the JAVELIN Renal 101 trial.

MATERIALS AND METHODS

To evaluate the safety and effectiveness of avelumab + axitinib in older patients in general clinical practice in Japan, an ad hoc analysis of data from post-marketing surveillance (PMS) by age group was conducted.

RESULTS

The analysis population included 328 patients who had received ≥1 dose of avelumab and were enrolled between December 2019 and May 2021. In total, 100 patients (30.5%) were aged ≤64 years, 130 (39.6%) were aged 65-74 years, and 98 (29.9%) were aged ≥75 years. Within these age groups, adverse drug reactions (ADRs) of safety specifications of any grade occurred in 46 (46.0%), 71 (54.6%), and 56 (57.1%), and of grade ≥3 in 13 (13.0%), 23 (17.7%), and 20 (20.4%), respectively. The most common ADRs of safety specifications across all age groups were thyroid dysfunction, infusion reactions, and hepatic function disorders. Median overall survival (OS) was not reached in any age group; 12-month OS rates in patients aged ≤64, 65-74, or ≥75 years were 83.8%, 86.2%, and 80.0%, and objective response rates were 31.0%, 43.8%, and 30.6%, respectively.

DISCUSSION

Analyses of PMS data show the safety and effectiveness of avelumab + axitinib across all age groups of patients with RCC in general clinical practice in Japan. The favorable benefit-risk profile was generally consistent with that observed in previous clinical trials.

The Impact of Body Mass Index (BMI) on Clinical Outcomes for Patients Receiving Systemic Anti-Cancer Therapies for Advanced Clear Cell Renal Carcinoma

IntroductionObesity is a risk factor for the development of renal cell carcinoma (RCC), however observational studies have suggested patients with RCC receiving systemic anti-cancer therapy (SACT) and BMI ≥25 kg/m2 may have a better prognosis than patients with a normal or low BMI, a phenomenon often referred to as the obesity paradox.MethodsThe impact of BMI on survival outcomes in patients with advanced clear cell RCC receiving SACT within the National Health Service (NHS) in England between 2010 and 2018 was investigated. A retrospective analysis was performed using the SACT dataset from NHS-England.ResultsA total of 1034 patients were included. The majority of patients commenced treatment with oral SACT, pazopanib (53.3%) and sunitinib (43.7%). Median overall survival for patients with BMI ≤25 kg/m2 was 12.6 months (95% CI; 10.1-14.4) and 17.9 months (15.4-20.0) for patients with BMI ≥25 kg/m2 (P < .001). The association between BMI and improved survival was greatest in the first year of commencing SACT with the adjusted mortality rate of 68.9% for patients with BMI less than 25 kg/m2 compared to 48.6% for patients with BMI greater than 25 kg/m2 (rate ratio .77, .63 to .93).ConclusionA high BMI compared to a normal or low BMI was associated with improved survival in patients with metastatic RCC who were predominantly treated with oral SACT. Improved survival in obese patients with advanced RCC may be associated with improved response to systemic targeted therapies.