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

The inherent fragility of collective proliferative control

Tissues achieve and maintain their sizes through active feedback, whereby cells collectively regulate proliferation and differentiation so as to facilitate homeostasis and the ability to respond to disturbances. One of the best understood feedback mechanisms-renewal control-achieves remarkable feats of robustness in determining and maintaining desired sizes. Yet in a variety of biologically relevant situations, we show that stochastic effects should cause rare but catastrophic failures of renewal control. We define the circumstances under which this occurs and raise the possibility such events account for important non-genetic steps in the development of cancer. We further suggest that the spontaneous stochastic reversal of these events could explain cases of cancer normalization or dormancy following treatment. Indeed, we show that the kinetics of post-treatment recurrence for many cancers are often better fit by a model of stochastic re-emergence due to loss of collective proliferative control, than by deterministic models of cancer relapse.

Recurrence patterns following nephrectomy for renal cell carcinoma in a Danish nationwide cohort

Objectives

This study aimed to characterize the demographic and clinical features of patients with renal cell carcinoma (RCC) post-surgery for localized or locally advanced disease in a national Danish cohort, with a specific focus on describing recurrence patterns in a subgroup aligned with the adjuvant KEYNOTE-564 trial classification.

Methods

This was a retrospective analysis of the Danish Renal Cancer (DaRenCa) database. Eligible subjects were individuals with an RCC diagnosis between January 2014 and December 2017 who subsequently underwent radical or partial nephrectomy. Variables of interest were demographic and clinical characteristics, rates and sites of recurrence. Recurrence rates were also assessed in a subpopulation stratified using the risk classifications of the KEYNOTE-564 trial.

Results

A total of 2164 RCC patients were identified. Most patients (84.8%) had non-metastatic RCC (stage M0). A recurrence was observed in 250 of the M0 patients (13.6%). Patients with a recurrence were older, male, had a higher tumour stage, had undergone radical nephrectomy and had a higher Leibovich score. The majority (74.8%) of M0 patients had recurrence at distant metastatic sites. A total of 392 patients were stratified by the KEYNOTE-564 risk classification: 335 intermediate-high risk, 17 high risk and 40 M1 NED (metastatic with no evidence of disease). Recurrence was observed in 37.0%, 88.2% and 27.5% of these risk groups, respectively.

Conclusions

This study elucidates the rates and determinants of post-surgical RCC recurrence in Denmark, underscoring the potential of adjuvant immunotherapy in refining therapeutic strategies, identifying suitable beneficiaries and minimizing overtreatment risks in RCC care.

Predicting Recurrence After Radical Surgery for High-Risk Renal Cell Carcinoma: Development and Internal Validation of the "TOWARDS" Score

BACKGROUND

Considering the reported greater benefits of immunotherapy and its unignorable adverse events in adjuvant therapy for high-risk renal cell carcinoma (hrRCC), accurate prediction may optimize drug use.

METHODS

The primary objective of this study was to generate a score-based prognostic model of recurrence-free survival in hrRCC. The study retrospectively evaluated 456 patients at two institutions who underwent radical surgery for nonmetastatic pT3-4 and/or N1-2 or pT2 and G4 disease. Clinical variables deemed universally available were selected through backward stepwise analysis and fitted by a multivariable Cox proportional hazards regression model. A point-based score was derived from regression coefficients. Discrimination, calibration, and decision curve analyses were conducted to evaluate predictive performance. Internal validation with bootstrapping was performed to correct for optimism.

RESULTS

The mean follow-up period was 55.3 months, and the median follow-up period was 28.0 months. During the follow-up period, the recurrence rate was 48.2% (n = 220) during a median of 75.7 months. Stepwise variable selection retained age, Eastern Cooperative Oncology Group (ECOG) performance status, presence or absence of symptoms, size of the primary tumor, pathologic T stage, pathologic N stage, tumor grade, and histology. Subsequently, the TOWARDS score (range 0-53) was developed from these variables. Internal validation showed an optimism-corrected C-index of 0.723 and a calibration slope of 0.834. The decision curve analysis showed the superiority of this score over the University of California, Los Angeles (UCLA) Integrated Staging System and GRade, Age, Nodes, and Tumor score.

CONCLUSIONS

The authors' novel TOWARDS scoring model had good accuracy for predicting disease recurrence in patients with hrRCC, and the clinical practicability was superior to that of the existing models.

HSP27 promotes vasculogenic mimicry formation in human salivary adenoid cystic carcinoma via the AKT-MMP-2/9 pathway

PURPOSE

To explore the role and mechanism of heat shock protein 27 (HSP27) in SACC VM formation.

STUDY DESIGN

Immunohistochemistry and double staining with cluster of differentiation 31 (CD31) and periodic acid-Schiff (PAS) were used to detect HSP27 expression and VM in 70 SACC tissue samples separately. Quantitative real-time polymerase chain reaction (qRT-PCR), western blot analysis, and immunofluorescence were used to detect gene and protein expression. HSP27 in SACC cells were overexpression or downregulated by transfecting HSP27 or short hairpin RNA target HSP27 (sh-HSP27). The migration and invasion abilities of SACC cells were detected using wound healing and Transwell invasion assays. The VM formation ability of the cells in vitro was detected using a Matrigel 3-dimensional culture.

RESULTS

HSP27 expression was positively correlated with VM formation and affected the prognosis of patients. In vitro, HSP27 upregulation engendered VM formation and the invasion and migration of SACC cells. Mechanistically, HSP27 upregulation increased Akt phosphorylation and subsequently increased downstream matrix metalloproteinase 2 and 9 expressions.

CONCLUSION

HSP27 may plays an important role in VM formation in SACC via the AKT-MMP-2/9 signalling pathway.

Sarcoid-like reaction and hypothyroidism induced by PD-1 inhibitor treatment in metastatic renal cell carcinoma: a case report and literature review

BACKGROUND

Pembrolizumab is among the approved treatments for a variety of cancer types, including clear cell renal cell carcinoma (ccRCC). It has contributed to enhancing the prognosis of renal cell carcinoma. However, it is essential to be aware of the numerous potential immune-related side effects associated with its use.

CASE PRESENTATION

A 69-year-old patient with a history of metastatic renal cell carcinoma has been undergoing treatment with Pembrolizumab, an immune checkpoint inhibitor. The medication has led to the development of a sarcoid-like reaction, initially misinterpreted as cancer recurrence and progression. Additionally, the patient has experienced new-onset hypothyroidism, which has been attributed to the immunotherapy.

CONCLUSION

Clinicians, including oncologists, endocrinologists, and radiologists, should maintain a high level of suspicions and awareness regarding the potential adverse events associated with newly introduced immunotherapies like pembrolizumab. This knowledge is crucial for the accurate diagnosis and appropriate management of patients receiving these treatments.

Prognostic Value of the Lung Immune Prognostic Index on Recurrence after Radical Surgery for High-Risk Renal Cell Carcinoma

With emerging options in immediate postoperative settings for high-risk renal cell carcinoma (hrRCC), further risk stratification may be relevant for informed decision making. Balancing the benefits and drawbacks of adjuvant immunotherapy is recommended. We aimed to evaluate the effects of the lung immune prognostic index (LIPI) in this setting. This bi-institutional retrospective study recruited 235 patients who underwent radical surgery for hrRCC between 2004 and 2021. LIPI scores were calculated based on the derived neutrophil-to-lymphocyte ratio and lactate dehydrogenase levels. The association between LIPI scores and local or distant recurrence was analyzed, along with other possible clinical factors. The median recurrence-free survival (RFS) period was 36.4 months. Based on the LIPI scores, 119, 91, and 25 patients were allocated to the good, intermediate, and poor groups, respectively. The RFS was significantly correlated with the LIPI scores, and the 36 month survival rates were 67.3, 36.2, and 11.0% in the good, intermediate, and poor groups, respectively. In the multivariate model, the LIPI independently predicted the RFS, along with symptoms at diagnosis, Eastern Cooperative Oncology Group performance status, pT status, pN status, and tumor grade. The C-index of the LIPI in predicting RFS was 0.63, and prediction accuracy improved with the addition of the LIPI to both GRade, Age, Nodes, Tumor, and the UCLA Integrated Staging System. Conclusively, the LIPI can be a significant prognostic biomarker for predicting hrRCC recurrence, particularly for identifying the highest-risk cohort.

Analysis of the Tumor Immune Microenvironment (TIME) in Clear Cell Renal Cell Carcinoma (ccRCC) Reveals an M0 Macrophage-Enriched Subtype: An Exploration of Prognostic and Biological Characteristics of This Immune Phenotype

There is a need to optimize the treatment of clear cell renal cell carcinoma (ccRCC) patients at high recurrence risk after nephrectomy. We sought to elucidate the tumor immune microenvironment (TIME) of localized ccRCC and understand the prognostic and predictive characteristics of certain features. The discovery cohort was clinically localized patients in the TCGA-Kidney Renal Clear Cell Carcinoma (KIRC) project (n = 382). We identified an M0 macrophage-enriched cluster (n = 25) in the TCGA-KIRC cohort. This cluster's median progression-free survival (PFS) and overall survival (OS) were 40.4 and 45.3 months, respectively, but this was not reached in the others (p = 0.0003 and <0.0001, respectively). Gene set enrichment (GSEA) analysis revealed an enrichment of epithelial to mesenchymal transition and cell cycle progression genes within this cluster, and these patients also had a lower predicted response to immune checkpoint blockade (ICB) (4% vs. 20-34%). An M0-enriched cluster (n = 9) with shorter PFS (p = 0.0006) was also identified in the Clinical Proteomics Tumor Analysis Consortium (CPTAC) cohort (n = 94). Through this characterization of the TIME in ccRCC, a cluster of patients defined by enrichment in M0 macrophages was identified that demonstrated poor prognosis and lower predicted ICB response. Pending further validation, this signature can identify localized ccRCC patients at high risk of recurrence after nephrectomy and who may require therapeutic approaches beyond ICB monotherapy.

Adjuvant immunotherapy for locally advanced renal cell carcinoma

INTRODUCTION

Locally advanced renal cell carcinoma (RCC) presents a therapeutic challenge due to 20-40% relapse risk post-nephrectomy. There has been substantial interest in utilizing immunotherapy interrupting the PD-1/PD-L1 axis in the perioperative space, especially in the adjuvant setting, in order to minimize such risk.

AREAS COVERED

We conducted a PubMed search using the terms 'adjuvant' and 'RCC.' We begin by examining landmark studies in the postoperative space for locally advanced RCC, with special emphasis on immunotherapeutic biologics. Important considerations are outlined in an effort to explain the conflicting data on the benefit of adjuvant immunotherapy as well as to adequately assess the magnitude of potential benefit of the recently approved adjuvant pembrolizumab. Relevant contemporary challenges and opportunities as well as future directions of the field are also discussed.

EXPERT OPINION

Systemic immunotherapy with monoclonal antibodies targeting the PD-1/PD-L1 axis likely holds promise, either alone or potentially in combinations, in minimizing recurrence risk for locally advanced RCC. However, emphasis on post-protocol care, robust endpoint selection, and continued work and validation on predictive biomarkers are needed to confidently select those patients that may benefit the most and minimize biologic and financial toxicity.

Cancer-specific mortality free survival rates in non-metastatic non-clear cell renal carcinoma patients at intermediate/high risk of recurrence

BACKGROUND

To date, five trials testing the effect of adjuvant systemic therapy in surgically treated non-metastatic renal cell carcinoma included patients with non-clear cell histology. We tested the effect of papillary vs. chromophobe histological subtype, stage, and grade on 10-year cancer-specific survival, in patients eligible for ≥1 such trial.

METHODS

We identified patients meeting ASSURE, SORCE, EVEREST, PROSPER, or RAMPART trial inclusion criteria in the SEER (2000-2018) database. Kaplan-Meier analyses estimated 10-year survival rates and multivariable Cox regression models tested for the independent predictor status of histological subtype, stage, and grade.

RESULTS

We identified 5465 (68%) papillary and 2562 (32%) chromophobe renal cell carcinoma patients. Cancer-specific survival rates at 10 years were 77% in papillary vs. 90% in chromophobe. In multivariable Cox regression models applied to papillary patients, cancer-specific mortality independent predictor status was reached for T3G3-4 (HR 2.9), T4Gany (HR 3.4), TanyN1G1-2 (HR 3.1), and TanyN1G3-4 (HR 8.0, P<0.001), relative to T1/2Gany. In multivariable Cox regression models applied to chromophobe patients, mortality independent predictor status was reached for T3G3-4 (HR 3.6), T4Gany (HR 14.0), TanyN1G1-2 (HR 5.7), and TanyN1G3-4 (HR 15.0, P<0.001), relative to T1/2Gany.

CONCLUSIONS

In surgically treated non-metastatic intermediate/high-risk renal cell carcinoma patients, papillary histologic subtype exhibited worse cancer-specific survival than chromophobe histologic subtype. Although stage and grade represented independent predictors in both histological subtype groups, the magnitude of their effect was invariably worse in chromophobe than in papillary patients. In consequence, papillary and chromophobe patients should be considered separate entities instead of being combined under the non-clear cell designation.

The Promise of Neoadjuvant and Adjuvant Therapies for Renal Cancer

Because metachronous metastatic disease will develop in 20% to 40% of patients with presumed localized renal cell carcinoma (RCC) treated surgically, research is focused on neoadjuvant and adjuvant systemic therapy, to improve disease-free and overall survival. Neoadjuvant therapies trialed include anti-vascular endothelial growth factor (VEGF) tyrosine kinase inhibitor (TKI) agents, or combination therapies (immunotherapy with TKI), and aim to improve resectability of locoregional RCC. Adjuvant therapies trialed include cytokines, anti-VEGF TKI agents, or immunotherapy. These therapeutics can facilitate the surgical extirpation of the primary kidney tumor in the neoadjuvant setting and improve disease-free survival in the adjuvant setting.

Adjuvant immunotherapy in renal cell carcinoma: a systematic review and meta-analysis

OBJECTIVES

To synthesise available data regarding the disease-free survival (DFS) benefit of adjuvant immune checkpoint inhibitors (ICIs) for patients with renal cell carcinoma (RCC) and evaluate the overall safety profile of ICIs in this setting.

MATERIALS AND METHODS

We utilised PubMed, Embase, and relevant conference proceedings to identify phase III randomised controlled trials comparing adjuvant ICIs vs placebo/observation for RCC. The primary outcome of interest was DFS. Variables for subgroup analyses were programmed death-ligand 1 (PD-L1) expression, sarcomatoid features, nephrectomy type, and disease-risk category. Secondary outcomes included Grade ≥3 adverse events (AEs), immune-related AEs, and treatment discontinuation due to AEs. All outcomes were analysed using random-effects models owing to inter-study heterogeneity.

RESULTS

Among the four included studies, one demonstrated a significant DFS benefit. There was considerable clinical and statistical heterogeneity (I2  = 64%) due to differences in inclusion criteria and interventions. While pooled results across the four studies did not demonstrate a significant benefit in DFS overall (hazard ratio [HR] 0.85, 95% confidence interval [CI] 0.69-1.04) there was significant benefit among patients with positive PD-L1 expression (HR 0.72, 95% CI 0.55-0.94) and sarcomatoid features (HR 0.59, 95% CI 0.38-0.91).

CONCLUSION

The evidence base to date regarding ICIs as adjuvant therapy in RCC is mixed - conclusions are limited by considerable heterogeneity between studies. However, pooled analyses suggest that patients with positive PD-L1 expression or sarcomatoid features are most likely to benefit from adjuvant immunotherapy.

Transcriptomic recurrence score improves recurrence prediction for surgically treated patients with intermediate-risk clear cell kidney cancer

BACKGROUND

Risk stratification of kidney cancer patients after nephrectomy may tailor surveillance intensity and selection for adjuvant therapy. Transcriptomic approaches are effective in predicting recurrence, but whether they add value to clinicopathologic models remains unclear.

METHODS

Data from patients with clear cell renal cell carcinoma (ccRCC) was downloaded from The Cancer Genome Atlas. Clinicopathologic variables were used to calculate SSIGN (stage, size, grade, and necrosis) scores. The 16 gene recurrence score (RS) signature was generated using RNA-seq data. Transcriptomic risk groups were calculated using the original thresholds. SSIGN groups were divided into low, intermediate, and high risk. Disease-free status was the primary endpoint assessed.

RESULTS

SSIGN and RS were calculated for 428 patients with non-metastatic ccRCC. SSIGN low-, intermediate-, and high-risk groups demonstrated 2.7%, 15.2%, and 27.5%, 3-year recurrence risk, respectively. On multivariable analysis, the RS was associated with disease-free status (sub-distribution hazard ratio (sHR) 1.43 per 25 RS [95% CI (1.00-1.43)], p = 0.05). By risk groups, RS further risk stratified the SSIGN intermediate-risk group (sHR 2.22 [95% CI 1.10-4.50], p = 0.03). SSIGN intermediate-risk patients with low and high RS had a 3-year recurrence rate of 8.0% and 25.2%, respectively. Within this risk group, the area under the curve (AUC) at 3 years was 0.69 for SSIGN, 0.74 for RS, and 0.78 for their combination.

CONCLUSIONS

Transcriptomic recurrence scores improve risk prediction even when controlling for clinicopathologic factors. Utility may be best suited for intermediate-risk patients who have heterogeneous outcomes and further refinement for clinical utility is warranted.

Post nephrectomy management of localized renal cell carcinoma. From risk stratification to therapeutic evidence in an evolving clinical scenario

Standard treatment for localized non-metastatic renal cell carcinoma (RCC) is radical or partial nephrectomy. However, after radical surgery, patients with stage II-III have a substantial risk of relapse (around 35%). To date a unique standardized classification for the risk of disease recurrence still lack. Moreover, in the last years great attention has been focused in developing systemic therapies with the aim of improving the disease-free survival (DFS) of high-risk patients, with negative results from adjuvant VEGFR-TKIs. Therefore, there is still a need for developing effective treatments for radically resected RCC patients who are at intermediate/high risk of relapse. Recently, interesting results came from immune-checkpoint inhibitors (ICIs) targeting the PD-1/PD-L1 pathway, with a significant benefit in terms of disease-free survival from adjuvant pembrolizumab. However, the conflicting results of diverse clinical trials investigating different ICI-based regimens in the adjuvant setting, together with the still immature data on the overall survival advantage of immunotherapy, requires careful considerations. Furthermore, several questions remain unanswered, primarily regarding the selection of patients who could benefit the most from immunotherapy. In this review, we have summarized the main clinical trials investigating adjuvant therapy in RCC, with a particular focus on immunotherapy. Moreover, we have analyzed the crucial issue of patients' stratification according to the risk of disease recurrence, and we have described the possible future prospective and novel agents under evaluation for perioperative and adjuvant therapies.

Adjuvant Therapy for Renal Cell Carcinoma: Hype or Hope?

Renal cell carcinoma (RCC) is the third most common genitourinary cancer accounting for approximately 180,000 deaths worldwide in 2020. Although over two-thirds of patients initially present localized disease, up to 50% of them may progress to metastatic disease. Adjuvant therapy aims to reduce the recurrence risk and improve outcomes in several types of cancers but is currently an unmet need in RCC. The results achieved with tyrosine kinase inhibitors in metastatic RCC led to the evaluation of these target therapies in an early setting with conflicting results for disease-free survival and no overall survival (OS) benefit. Likewise, the results of immune checkpoint inhibitors (ICIs) in an adjuvant setting are conflicting. Available data did not show an improvement in OS with ICIs in the early phase, although a positive trend for pembrolizumab has been recorded, receiving the Food and Drug Administration's approval in this setting. However, the disappointing results of several ICIs and the heterogeneous pattern of RCC warrant biomarker identification and subgroup analyses to evaluate which patients could benefit from adjuvant therapy. In this review, we will discuss the rationale for adjuvant treatment in RCC, summarizing the results of the most important adjuvant therapy trials and current applications, to outline possible future directions.

Adjuvant therapy in renal cell carcinoma in the immunotherapy era: where do we stand?

Locoregional, as well as metastatic renal cell carcinoma, tends to relapse after nephrectomy or metastasectomy. Adjuvant therapy seems to be an effective strategy to reduce the risk of recurrence. All anti-VEGF tyrosine kinase inhibitors except sunitinib have failed to show any benefit in the adjuvant setting in patients with locally advanced disease and an intermediate-to-high chance of recurrence. On the other hand, immune checkpoint inhibitors, which are now used in the first-line in the metastatic setting, are being tested in the adjuvant setting. Pembrolizumab has shown benefit in the adjuvant setting in patients with a high risk of recurrence or with resected metastatic disease with no evidence of disease. Results for other checkpoint inhibitors are still awaited.

Hot topics in renal cancer pathology: implications for clinical management

INTRODUCTION

The updated European Association of Urology (EAU) Guidelines issued a weak recommendation for adjuvant pembrolizumab for patients with high-risk operable clear cell Renal Cell Carcinoma (ccRCC). High risk of recurrence was defined, as per protocol-criteria, as T2 with nuclear grade 4 or sarcomatoid differentiation, T3 or higher, regional lymph node metastasis, or stage M1 with no evidence of disease. Considering the heterogeneous population included in the recommendation, it has been questioned if adjuvant pembrolizumab may lead to overtreatment of some patients as well as undertreatment of patients with worse prognosis.

AREAS COVERED

In this review, we discuss the issues related to the assessment of pathological features required to identify those patients harboring a high-risk tumor, highlighting the issue related to interobserver variability and discuss the currently available prognostic scoring systems in ccRCC.

EXPERT OPINION

PPathologist assessment of prognostic features suffers from interobserver variability which may depend on gross sampling and the pathologist's expertise. The presence of clear cell feature is not sufficient criteria by itself to define ccRCC since clear cell can be also found in other histotypes. Application of molecular biomarkers may be useful tools in the near future to help clinicians identify patients harboring tumors with worse prognosis.

Treatment of Refractory Metastatic Renal Cell Carcinoma

First-line treatment for metastatic renal cell carcinoma (mRCC) rapidly shifted in recent years with the advent of combination therapies, including immune checkpoint inhibitor (ICI) doublets and combinations of an ICI with a vascular endothelial growth factor receptor (VEGFR) targeted tyrosine kinase inhibitor (TKI). Despite improvements in overall survival and many durable responses, there exists a significant number of patients who fail to respond to these agents, and many patients eventually progress. Given the rapid changes in the front-line setting, it is essential to understand treatment options in refractory mRCC. Here, we review the evidence behind current options for later-line therapies, often involving additional VEGFR-TKIs alone or in combination with mammalian target of rapamycin (mTOR) targeted agents, as well as situations where consideration of immunotherapy rechallenge may be appropriate. Additionally, we describe ongoing clinical trials examining concurrent ICI and TKI in the refractory setting, as well as those studying novel agents, such as targeted drug-antibody conjugates and hypoxia inducible factor 2α (HIF-2α) inhibitors. Finally, we review considerations for non-clear cell histologies in the refractory setting and mechanisms of resistance in mRCC.

Molecular characterization of renal cell carcinoma tumors from a phase III anti-angiogenic adjuvant therapy trial

Multigene assays can provide insight into key biological processes and prognostic information to guide development and selection of adjuvant cancer therapy. We report a comprehensive genomic and transcriptomic analysis of tumor samples from 171 patients at high risk for recurrent renal cell carcinoma post nephrectomy from the S-TRAC trial (NCT00375674). We identify gene expression signatures, including STRAC11 (derived from the sunitinib-treated population). The overlap in key elements captured in these gene expression signatures, which include genes representative of the tumor stroma microenvironment, regulatory T cell, and myeloid cells, suggests they are likely to be both prognostic and predictive of the anti-angiogenic effect in the adjuvant setting. These signatures also point to the identification of potential therapeutic targets for development in adjuvant renal cell carcinoma, such as MERTK and TDO2. Finally, our findings suggest that while anti-angiogenic adjuvant therapy might be important, it may not be sufficient to prevent recurrence and that other factors such as immune response and tumor environment may be of greater importance.

Adjuvant atezolizumab versus placebo for patients with renal cell carcinoma at increased risk of recurrence following resection (IMmotion010): a multicentre, randomised, double-blind, phase 3 trial

BACKGROUND

The standard of care for locoregional renal cell carcinoma is surgery, but many patients experience recurrence. The objective of the current study was to determine if adjuvant atezolizumab (vs placebo) delayed recurrence in patients with an increased risk of recurrence after resection.

METHODS

IMmotion010 is a randomised, double-blind, multicentre, phase 3 trial conducted in 215 centres in 28 countries. Eligible patients were patients aged 18 years or older with renal cell carcinoma with a clear cell or sarcomatoid component and increased risk of recurrence. After nephrectomy with or without metastasectomy, patients were randomly assigned (1:1) to receive atezolizumab (1200 mg) or placebo (both intravenous) once every 3 weeks for 16 cycles or 1 year. Randomisation was done with an interactive voice-web response system. Stratification factors were disease stage (T2 or T3a vs T3b-c or T4 or N+ vs M1 no evidence of disease), geographical region (north America [excluding Mexico] vs rest of the world), and PD-L1 status on tumour-infiltrating immune cells (<1% vs ≥1% expression). The primary endpoint was investigator-assessed disease-free survival in the intention-to-treat population, defined as all patients who were randomised, regardless of whether study treatment was received. The safety-evaluable population included all patients randomly assigned to treatment who received any amount of study drug (ie, atezolizumab or placebo), regardless of whether a full or partial dose was received. This trial is registered with ClinicalTrials.gov, NCT03024996, and is closed to further accrual.

FINDINGS

Between Jan 3, 2017, and Feb 15, 2019, 778 patients were enrolled; 390 (50%) were assigned to the atezolizumab group and 388 (50%) to the placebo group. At data cutoff (May 3, 2022), the median follow-up duration was 44·7 months (IQR 39·1-51·0). Median investigator-assessed disease-free survival was 57·2 months (95% CI 44·6 to not evaluable) with atezolizumab and 49·5 months (47·4 to not evaluable) with placebo (hazard ratio 0·93, 95% CI 0·75-1·15, p=0·50). The most common grade 3-4 adverse events were hypertension (seven [2%] patients who received atezolizumab vs 15 [4%] patients who received placebo), hyperglycaemia (ten [3%] vs six [2%]), and diarrhoea (two [1%] vs seven [2%]). 69 (18%) patients who received atezolizumab and 46 (12%) patients who received placebo had a serious adverse event. There were no treatment-related deaths.

INTERPRETATION

Atezolizumab as adjuvant therapy after resection for patients with renal cell carcinoma with increased risk of recurrence showed no evidence of improved clinical outcomes versus placebo. These study results do not support adjuvant atezolizumab for treatment of renal cell carcinoma.

FUNDING

F Hoffmann-La Roche and Genentech, a member of the Roche group.

Identification of a Novel Renal Metastasis Associated CpG-Based DNA Methylation Signature (RMAMS)

Approximately 21% of patients with renal cell cancer (RCC) present with synchronous metastatic disease at the time of diagnosis, and metachronous metastatic disease occurs in 20–50% of cases within 5 years. Recent advances in adjuvant treatment of aggressive RCC following surgery suggest that biomarker-based prediction of risk for distant metastasis could improve patient selection. Biometrical analysis of TCGA-KIRC data identified candidate loci in the NK6 homeobox 2 gene (NKX6-2) that are hypermethylated in primary metastatic RCC. Analyses of NKX6-2 DNA methylation in three gene regions including a total of 16 CpG sites in 154 tumor-adjacent normal tissue, 189 RCC, and 194 metastatic tissue samples from 95 metastasized RCC patients revealed highly significant tumor-specific, primary metastatic-specific, and metastatic tissue-specific hypermethylation of NKX6-2. Combined CpG site methylation data for NKX6-2 and metastasis-associated genes (INA, NHLH2, and THBS4) demonstrated similarity between metastatic tissues and metastatic primary RCC tissues. The random forest method and evaluation of an unknown test cohort of tissues using receiver operator characteristic curve analysis revealed that metastatic tissues can be differentiated by a median area under the curve of 0.86 (p = 1.7 × 10−8–7.5 × 10−3) in 1000 random runs. Analysis of variable importance demonstrated an above median contribution for decision-making of at least one CpG site in each of the genes, suggesting superior informativity for sites annotated to NHLH2 and NKX6-2. Thus, DNA methylation of NKX6-2 is associated with the metastatic state of RCC tissues and contributes to a four-gene-based statistical predictor of tumoral and metastatic renal tissues.

How to optimize the use of adjuvant pembrolizumab in renal cell carcinoma: which patients benefit the most?

PURPOSE

The KEYNOTE-564 trial showed improved disease-free survival (DFS) for patients with high-risk renal cell carcinoma (RCC) receiving adjuvant pembrolizumab as compared to placebo. However, if systematically administered to all high-risk patients, it might lead to the overtreatment in a non-negligible proportion of patient. Therefore, we aimed to determine the optimal candidate for adjuvant pembrolizumab.

METHODS

Within a prospectively maintained database we selected patients who fulfilled the inclusion criteria of the KEYNOTE-564. We compared baseline characteristics and oncologic outcomes in this cohort with those of the placebo arm of the KEYNOTE-564. Regression tree analyses was used to generate a risk stratification tool to predict 1-year DFS after surgery.

RESULTS

In the off-trial setting, patients had worse tumor characteristics then in the KEYNOTE-564 placebo arm, i.e. there were more pT4 (5.4 vs. 2.7%, p = 0.046) and pN1 (15 vs. 6.3%, p < 0.001) cases. Median DFS was 29 (95% CI 21-35) months as compared to value not reached in KEYNOTE-564 and 1-year DFS was 64.2% (95% CI 59.6-69.2) as compared to 76.2% (95% CI 72.2-79.7), respectively. Patients with pN1 were at the highest risk of 1-year recurrence (1-year DFS 28.6% [95% CI 20.2-40.3]); patients without LNI, but necrosis were at intermediate risk (1-year DFS 62.5% [95% CI 56.9-68.8]); those without LNI and necrosis were at the lowest risk (1-year DFS 83.8% [95% CI 79.1-88.9]). LVI substratification furtherly improved the accuracy in the prediction of early recurrence.

CONCLUSIONS

Patients potentially eligible for adjuvant pembrolizumab have worse characteristics and DFS in the off-trial setting as compared to the placebo arm of the KEYNOTE-564. Patients with either LNI or necrosis were at the highest risk of early-recurrence, which make them the ideal candidate to adjuvant pembrolizumab.

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

BACKGROUND

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

OBJECTIVE

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

DESIGN, SETTING, AND PARTICIPANTS

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

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

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

RESULTS AND LIMITATIONS

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

CONCLUSIONS

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

PATIENT SUMMARY

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

The multispeciality approach to the management of localised kidney cancer

Historically, kidney cancer was approached in a siloed single-speciality way, with urological surgeons managing the localised stages of the disease and medical oncologists caring for patients if metastases developed. However, improvements in the management of localised kidney cancer have occurred rapidly over the past two decades with greater understanding of the disease biology, diagnostic options, and innovations in curative treatments. These developments are favourable for patients but provide a substantially more complex landscape for patients and clinicians to navigate, with associated challenging decisions about who to treat, how, and when. As such, the skill sets needed to manage the various aspects of the disease and guide patients appropriately outstrips the capabilities of one particular specialist, and the evolution of a multispeciality approach to the management of kidney cancer is now essential. In this Review, we summarise the current best multispeciality practice for the management of localised kidney cancer and the areas in need of further research and development.

C-reactive protein kinetics to predict recurrence of high-risk renal cell carcinoma after radical surgery

BACKGROUND

With new options in adjuvant settings, clinical biomarkers to predict recurrence after radical surgery for high-risk renal cell carcinoma (hrRCC) are in need but are scarcely investigated. We aimed to verify the predictive value of perioperative C-reactive protein (CRP) kinetics on hrRCC recurrence.

METHODS

We retrospectively evaluated 154 patients who underwent radical surgery for hrRCC (≥ pT3 and/or N1-2 and M0) at two institutions. Patients were classified into Normal (< 0.5) and High (≥ 0.5) according to their preoperative serum CRP (mg/dL). The High group were further classified into Normalized (< 0.5 at post) or Non-normalized (≥ 0.5 at post), and recurrence-free survival (RFS) was compared between groups. Factors for RFS were further analysed, and Harrell's concordance index (C-index) for the accuracy of predicting RFS was compared with and without the addition of CRP-related variables to pre-existing models.

RESULTS

The RFS was significantly shorter in the High (n = 72, 46.8%) compared to the Normal (n = 82, 53.2%) group (9.7 vs. 66.7 months, p < 0.001). Within the High group, Non-normalized (n = 27, 17.5%) patients showed a significantly shorter RFS compared to the Normalized (n = 45, 29.2%) group (6.2 vs. 20.3, p = 0.009). In the multivariable stepwise analysis, CRP kinetics (hazard ratio 2.15, p = 0.029) effectively predicted RFS while baseline CRP fell short of significance. Higher C-index improvement was observed with CRP non-normalization than the baseline value when added to factors in the Karakiewicz and University of California Los Angeles Integrated Staging System models.

CONCLUSIONS

CRP kinetics effectively predicted RCC recurrence after surgery and may aid in decision-making for adjuvant systemic therapy.

Adjuvant Pembrolizumab after Nephrectomy in Renal-Cell Carcinoma

BACKGROUND

Patients with renal-cell carcinoma who undergo nephrectomy have no options for adjuvant therapy to reduce the risk of recurrence that have high levels of supporting evidence.

METHODS

In a double-blind, phase 3 trial, we randomly assigned, in a 1:1 ratio, patients with clear-cell renal-cell carcinoma who were at high risk for recurrence after nephrectomy, with or without metastasectomy, to receive either adjuvant pembrolizumab (at a dose of 200 mg) or placebo intravenously once every 3 weeks for up to 17 cycles (approximately 1 year). The primary end point was disease-free survival according to the investigator's assessment. Overall survival was a key secondary end point. Safety was a secondary end point.

RESULTS

A total of 496 patients were randomly assigned to receive pembrolizumab, and 498 to receive placebo. At the prespecified interim analysis, the median time from randomization to the data-cutoff date was 24.1 months. Pembrolizumab therapy was associated with significantly longer disease-free survival than placebo (disease-free survival at 24 months, 77.3% vs. 68.1%; hazard ratio for recurrence or death, 0.68; 95% confidence interval [CI], 0.53 to 0.87; P = 0.002 [two-sided]). The estimated percentage of patients who remained alive at 24 months was 96.6% in the pembrolizumab group and 93.5% in the placebo group (hazard ratio for death, 0.54; 95% CI, 0.30 to 0.96). Grade 3 or higher adverse events of any cause occurred in 32.4% of the patients who received pembrolizumab and in 17.7% of those who received placebo. No deaths related to pembrolizumab therapy occurred.

CONCLUSIONS

Pembrolizumab treatment led to a significant improvement in disease-free survival as compared with placebo after surgery among patients with kidney cancer who were at high risk for recurrence. (Funded by Merck Sharp and Dohme, a subsidiary of Merck; KEYNOTE-564 ClinicalTrials.gov number, NCT03142334.).