Nivolumab, nivolumab–ipilimumab, and VEGFR-tyrosine kinase inhibitors as first-line treatment for metastatic clear-cell renal cell carcinoma (BIONIKK): a biomarker-driven, open-label, non-comparative, randomised, phase 2 trial

Construction and validation of renal cell carcinoma tumor cell differentiation-related prognostic classification (RCC-TCDC): an integrated bioinformatic analysis and clinical study

BACKGROUND

Renal cell carcinoma (RCC) is a heterogeneous malignancy with diverse gene expression patterns, molecular landscapes, and differentiation characteristics of tumor cells. It is imperative to develop molecular RCC classification based on tumor cell differentiation for precise risk stratification and personalized therapy.

METHODS

We obtained scRNA-seq profiles from GSE159115 and bulk RNA-seq profiles from TCGA-KIRC cohort. We then performed scRNA-seq cluster analysis, monocle2 pseudotime analysis, and prognostic analysis to obtain tumor cell differentiation-related prognostic genes (TCDGs). Subsequently, we conducted consensus clustering to construct the RCC tumor cell differentiation-related prognostic classification (RCC-TCDC) and implemented prognostic and multi-omics analyses. Moreover, we utilized Lasso regression to help develop a multivariable prognostic model. In addition, we performed correlation analysis and Cmap algorithm for regulatory network establishment and candidate inhibitor prediction. We eventually included 370 kidney neoplasm patients in Xinhua cohort to undergo immunohistochemical staining and scoring for classification and comprehensive statistical analyses, including Chi-square tests, Kaplan-Meier survival analyses, and multivariable Cox regression analysis .

RESULTS

32 TCDGs were identifiedand RCC-TCDC was constructed to classify TCGA-KIRC patients into RCC-low differentiation (RCC-LD) (S100A11+ SH3BGRL3+, high risk), RCC-moderate differentiation (TSPAN7+, medium risk), and RCC-high differentiation (RCC-HD) (AQP1+ NPR3+, low risk). Notably, RCC-LD was validated as anindependent risk factor for both OS (p = 0.015, HR = 14.0, 95%CI = 1.67-117.8) and PFS (p = 0.010, HR = 4.0, 95%CI = 1.39-11.7) of RCC patients in Xinhua cohort, taking RCC-HD as reference.

CONCLUSIONS

We constructed and validated a robust molecular classification system, RCC-TCDC, elucidating three distinct RCC subtypes.

Enhanced efficacy of ipilimumab plus nivolumab in angiogenic subtypes of metastatic clear-cell renal cell carcinoma

In metastatic clear-cell renal cell carcinoma (mccRCC), choosing between immuno-oncology (IO) combinations and IO plus anti-VEGF therapies is uncertain. The BIONIKK trial revealed that ipilimumab plus nivolumab (Ipi/Nivo) achieved a 70% objective response rate in angiogenic cluster1/2 versus 41% in cluster4/5, which featured T-effector/cell-cycle signatures (p = 0.048). Complete responses were exclusively observed in cluster1/2 (p = 0.012), with longer progression-free survival (p = 0.014). Ipi/Nivo may particularly benefit angiogenic mccRCC, supporting molecular subtype-based treatment strategies.

Efficacy of First-Line Treatments for Advanced Renal Cell Carcinoma: A Bayesian Network Meta-analysis of Objective Response, Progression-Free Survival, and Overall Survival

OBJECTIVE

The purpose of this study was to indirectly compare pembrolizumab + lenvatinib to other treatments of interest for first-line advanced renal cell carcinoma (aRCC).

METHODS

A systematic literature review searched EMBASE, MEDLINE, and CENTRAL databases for relevant randomized controlled trials of interest up to 30 January 2024, with an updated search conducted on 17 March 2025. A fixed effect Bayesian network meta-analysis (NMA) was conducted to determine the relative treatment effects for overall survival (OS), progression-free survival (PFS), and objective response rate (ORR).

RESULTS

When comparing against other immune checkpoint inhibitors (ICI), a statistically significant improvement in PFS was demonstrated between pembrolizumab + lenvatinib compared with nivolumab + ipilimumab (hazard ratio (HR) = 0.53; 95% credible interval (CrI): 0.40-0.71), avelumab + axitinib (HR = 0.71; 95% Crl: 0.53-0.94), atezolizumab + bevacizumab (HR = 0.54; 95% CrI: 0.40-0.73), and pembrolizumab + axitinib (HR = 0.69; 95% CrI: 0.51-0.91). Treatment with pembrolizumab + lenvatinib resulted in no statistically significant difference between pembrolizumab + lenvatinib and other combination ICI-based therapies for OS. A statistically significant higher ORR was shown for pembrolizumab + lenvatinib compared with nivolumab + ipilimumab (odd ratio (OR) = 3.29; 95% Crl: 2.21-4.93), pembrolizumab + axitinib (OR = 1.92; 95% CrI: 1.27-2.94), atezolizumab + bevacizumab (OR = 4.05; 95% Crl: 2.71-6.05), bempegaldesleukin + nivolumab (OR = 6.20; 95% CrI: 3.69-10.48), and nivolumab (OR = 5.92; 95% CrI: 2.70-13.24).

CONCLUSIONS

The overall population analysis indicated that pembrolizumab + lenvatinib improves PFS and ORR compared with other approved ICI combination therapies in first-line aRCC. No significant differences in OS were observed between pembrolizumab + lenvatinib and other combination immune checkpoint inhibitor-based therapies.

Angiogenic and immune predictors of neoadjuvant axitinib response in renal cell carcinoma with venous tumour thrombus

Venous tumour thrombus (VTT), where the primary tumour invades the renal vein and inferior vena cava, affects 10-15% of renal cell carcinoma (RCC) patients. Curative surgery for VTT is high-risk, but neoadjuvant therapy may improve outcomes. The NAXIVA trial demonstrated a 35% VTT response rate after 8 weeks of neoadjuvant axitinib, a VEGFR-directed therapy. However, understanding non-response is critical for better treatment. Here we show that response to axitinib in this setting is characterised by a distinct and predictable set of features. We conduct a multiparametric investigation of samples collected during NAXIVA using digital pathology, flow cytometry, plasma cytokine profiling and RNA sequencing. Responders have higher baseline microvessel density and increased induction of VEGF-A and PlGF during treatment. A multi-modal machine learning model integrating features predict response with an AUC of 0.868, improving to 0.945 when using features from week 3. Key predictive features include plasma CCL17 and IL-12. These findings may guide future treatment strategies for VTT, improving the clinical management of this challenging scenario.

LRRK2 reduces the sensitivity to TKI and PD-1 blockade in ccRCC via activating LPCAT1

Tyrosine kinase inhibitor (TKI) and immune checkpoint inhibitor (ICI) combination therapy is emerging as a major therapeutic strategy for advanced clear cell renal cell carcinoma (ccRCC). To define the druggable targets for improvement of TKI and ICI combination therapy in ccRCC, we analyzed a commercial protein kinase inhibitor dataset and a public ccRCC dataset and identified LRRK2 as a potential candidate that can be targeted by a small molecule inhibitor. We demonstrated that LRRK2 was transcriptionally upregulated by HIF2A and enabled to drive proliferation of ccRCC cells in a manner independent of its kinase activity. LRRK2 inhibits the RBX1-mediated degradation of lipid metabolism modulator LPCAT1 to reducing the sensitivity to TKI and PD-1 blockade in ccRCC. Specifically, LRRK2/LPCAT1 upregulated IL-1β expression levels through AKT and also increased IL-1β shearing by activating inflammasome. To target the kinase-independent activity of LRRK2, we developed an LR-protac and showed that LR-protac decreased LRRK2 protein level and enhanced the antitumor effect of PD-1 blockade and TKI in ccRCC. These data indicate that LRRK2 is a viable target for improvement of the efficacy of PD-1 blockade and TKI in ccRCC.

Optimizing intermittent dosing of oral small molecule inhibitors

IntroductionWith recent expansion of oral small molecule inhibitors, the drug development studies need to provide insight into optimal dose selection for these agents with vastly different mechanism and pharmacokinetic considerations compared to our traditional chemotherapy agents. Currently there is one published meta-analysis that examines intermittent and alternative dosing of oral small molecule inhibitors and it is unclear what guidance is available for treatment personalization beyond package insert labeling for patients undergoing toxicities from treatment.MethodsA systematic review of oral small molecule inhibitors with intermittent dosing was conducted in the National Library of Medicine PubMed database. Studies were selected based on predefined inclusion/exclusion criteria. Data was extracted to summarize findings on available guidance for intermittent or alternative dosing of oral small molecule inhibitors. Studies were categorized based on food and drug administration (FDA) approved or non-FDA approved agents, and further characterized by comparison of different dosing schemas.ResultsFifty-five trials were included in the final review and data analysis. Thirty-three trials were phase 1 trials, 26 trials for FDA approved agents and 29 non-FDA approved agents. Most trials reported on agents used in solid tumors, particularly renal cell carcinoma, with most trials examining sunitinib. Of the 55 trials, 28 compared different dosing strategies with 26 of the 28 trials examining efficacy outcomes with 27 of the 28 trials examining safety outcomes.ConclusionsThis systematic review found limited guidance for clinicians in optimizing dosing for intermittently dosed oral small molecule inhibitors.

Thymidine kinase 1 indicates resistance to immune checkpoint plus tyrosine kinase inhibition in renal cell carcinoma

PURPOSE

Immune checkpoint plus tyrosine kinase inhibition (IO + TKI) has emerged as the first-line therapy in metastatic renal cell carcinoma (RCC), but no biomarker can predict its efficacy. Thymidine kinase 1 (TK1) is closely associated with immune evasion in tumors.

METHODS

Metastatic RCC patients treated by IO + TKI were enrolled from two cohorts (ZS-MRCC, n = 45; Javelin-101, n = 726). High-risk localized RCC were also enrolled (ZS-HRRCC, n = 40). TK1 was assessed by RNA-sequencing in all cohorts, and the immune contexture was assessed by flow cytometry and immunohistochemistry.

RESULTS

Higher TK1 expression was found in patients resistant to IO + TKI therapy (p = 0.025). High-TK1 group showed poor progression-free survival (PFS) in both the ZS-MRCC cohort (P = 0.008) and the Javelin-101 cohort (P = 0.036). By multivariate Cox regression, high-TK1 was determined as an independent factor for poor PFS (hazard ratio (HR) = 3.855, P = 0.002). High-TK1 expression was associated with decreased granzyme B+ CD8+ T cells (ρ=-0.22, P = 0.18), increased PD1+ CD4+ T cells (ρ = 0.33, P = 0.04), increased PDL1+ macrophages (ρ = 0.45, P < 0.001), and increased regulatory T cells (ρ = 0.35, P = 0.03). A novel random forest (RF) risk score was built by machine learning based on TK1 and immunologic parameters. Combined IO + TKI therapy surpassed sunitinib monotherapy in the low RF risk score group (HR = 0.158, P < 0.001), but was inferior to sunitinib in the high RF risk score group (HR, 2.195, P < 0.001).

CONCLUSION

High-TK1 expression could be a potential indicator for therapeutic resistance, poor PFS and immune evasion in metastatic RCC under IO + TKI therapy. The novel RF risk score may help stratify patients for IO + TKI therapy.

Efficacy and safety of PD-1/PD-L1 inhibitors alone or in combination in the treatment of metastatic or advanced renal cell carcinoma: a network meta-analysis

Background

This study systematically reviews the efficacy and safety of the single or combined use of programmed factor 1 (PD-1)/programmed factor 1 ligand (PD-L1) inhibitors for treating metastatic or advanced renal cell carcinoma (RCC).

Methods

Relevant articles were collected for meta-analysis through searches on PubMed, Web of Science, Embase, Cochrane Library, and Clinical Trials, as well as for relevant randomized controlled experiments.

Results

Based on eleven studies, the effectiveness of the experimental group was found to be significantly better than the control in terms of overall survival (OS) [R=0.74, 95%CI: 0.69~0.80, P<0.00001], progression-free survival (PFS) [HR=0.68, 95%CI: 0.57~0.81, P<0.0001], objective response rate (ORR) [RR=1.71, 95%CI: 1.39~2.12, P<0.00001], complete response rate (CR) [RR=2.99 95%CI: 2.34~3.83, P<0.0001], partial response rate (PR) [RR=1.56, 95%CI: 1.20~2.01, P=0.001], and disease control rate (DCR) [RR=1.13, 95%CI: 1.06~1.20, P<0.0001]. No statistical significance was observed between the experimental and control groups in overall adverse reactions (AEs) [RR=1.01, 95%CI: 0.98~1.04, P=0.598], the incidence of stage I~II adverse reactions [RR=1.02, 95%CI: 0.88~1.17, P=0.818], or stage III~V adverse reactions [RR=0.98, 95%CI: 0.81~1.18, P=0.817]. Regarding subgroup analysis, the incidence of dysphonia, rash, hypothyroidism, arthralgia, and pruritus in the experimental group was significantly higher than in the control. Compared with the control group, the incidence of diarrhea, nausea, indigestion, and fatigue in the experimental group was not statistically significant.

Conclusion

A good efficacy was found in treating metastatic or advanced RCC using PD-1/PD-L1 inhibitors alone or in combination, which significantly improved and enhanced OS, PFS, ORR, CR, PR, and DCR in patients with RCC. The incidence of adverse reactions in patients was not increased, and adverse reactions were controllable. These findings indicate that the single or combined use of PD-1/PD-L1 inhibitors shows good efficacy and safety in the treatment of metastatic or advanced RCC.

Soluble TIM-3, likely produced by myeloid cells, predicts resistance to immune checkpoint inhibitors in metastatic clear cell renal cell carcinoma

BACKGROUND

Immunotherapies targeting PD-1 and CTLA-4 are key components of the treatment of metastatic clear cell renal cell carcinoma (mccRCC). However, they have distinct safety profiles and resistance to treatment can occur. We assess soluble TIM-3 (sTIM-3) in the plasma of mccRCC patients as a potential theranostic biomarker, as well as its source and biological significance.

METHODS

We analyzed the association between sTIM-3 and overall survival (OS), tumor response, and common clinical and biological factors in two mccRCC cohorts treated with anti-PD-1 (nivolumab, n = 27), anti-PD-1 or anti-PD-1 + anti-CTLA-4 (nivolumab + ipilimumab - N + I, n = 124). The origin and role of sTIM-3 are studied on tumor and blood samples, using multiplex immunohistochemistry and flow cytometry, as well as analyses of publicly available single-cell transcriptomic (scRNAseq) and mass cytometry data.

RESULTS

sTIM-3 is significantly elevated in the plasma of treatment-naive mccRCC. It shows distinct associations with survival on anti-PD-1 vs anti-PD-1 + anti-CTLA-4: under nivolumab monotherapy, sTIM-3-high patients have a significantly reduced survival compared to sTIM-3-low patients, while they have similar survival probabilities under N + I. sTIM-3 is independent from other clinical and biological factors. Myeloid immune cells appear as the prominent source of sTIM-3, which may indicate their dysfunctional role in the antitumor immune response.

CONCLUSIONS

sTIM-3 appears to be a promising biomarker for optimizing treatment strategies in ccRCC as well as a potential therapeutic target, linked with to the immune myeloid compartment. Future investigations are warranted in patients treated with anti-PD-1 + antiangiogenic therapies.

Stratification system with dual human endogenous retroviruses for predicting immunotherapy efficacy in metastatic clear-cell renal cell carcinoma

BACKGROUND

Endogenous retrovirus (ERV) elements are genomic footprints of ancestral retroviral infections within the human genome. While the dysregulation of ERV transcription has been linked to immune cell infiltration in various cancers, its relationship with immune checkpoint inhibitor (ICI) response in solid tumors, particularly metastatic clear-cell renal cell carcinoma (ccRCC), remains inadequately explored.

METHODS

This study analyzed patients with metastatic ccRCC from two prospective clinical trials, encompassing 181 patients receiving nivolumab in the CheckMate trials (-009 to -010 and -025) and 48 patients treated with the ipilimumab-nivolumab combination in the BIONIKK trial. ERV expression was quantified using the ERVmap algorithm from RNA sequencing data. Our primary objective was to correlate ERV expression with progression-free survival, with overall survival and time-to-second-treatment survival as secondary endpoints. We used bootstrap methods with univariate Cox regression on 666 substantially expressed ERVs to evaluate their prognostic significance and stability.

RESULTS

Our analysis centered on two ERVs, E4421_chr17 and E1659_chr4, which consistently exhibited opposing prognostic impacts across both cohorts. We developed a stratification system based on their median expression levels, categorizing patients into four ERV subgroups. These subgroups were further consolidated into a three-tier risk model that significantly correlated with ICI treatment outcomes. The most responsive ERV risk category showed enhanced endothelial cell infiltration, whereas the resistant category was characterized by higher levels of myeloid dendritic cells, regulatory T cells, myeloid-derived suppressor cells, and markers of T-cell exhaustion. Notably, this ERV-based classification outperformed traditional transcriptomic signatures in predicting ICI efficacy and showed further improvement when combined with epigenetic DNA methylation markers.

CONCLUSIONS

Our findings introduce a dual ERV-based stratification system that effectively categorizes patient risk and predicts clinical outcomes for ccRCC patients undergoing ICI therapy. Beyond enhancing the predictive precision of existing transcriptomic models, this system paves the way for more targeted and individualized approaches in the realm of precision oncology.

Tertiary lymphoid structures and cancer immunotherapy: From bench to bedside

Tertiary lymphoid structures (TLSs) are organized ectopic lymphoid aggregates within the tumor microenvironment that serve as crucial sites for the development of adaptive antitumor cellular and humoral immunity. TLSs have been consistently documented in numerous cancer types, correlating with improved prognosis and enhanced responses to immunotherapy, especially immune-checkpoint blockade (ICB). Given the potential role of TLSs as predictive biomarkers for the efficacy of ICB in cancer patients, the therapeutic manipulation of TLSs is gaining significant attention as a promising avenue for cancer treatment. Herein, we comprehensively review the composition, definition, and detection methods of TLSs in humans. We also discuss the contributions of TLSs to antitumor immunity, their prognostic value in cancer patients, and their association with therapeutic response to ICB-based immunotherapy. Finally, we present preclinical data supporting the potential of therapeutically manipulating TLSs as a promising approach for innovative cancer immunotherapy.

Sample Site Impacts RNA Biomarkers for Renal Cell Carcinoma

Immunotherapy (ICIs) remains a mainstay for treatment of advanced clear-cell renal cell carcinoma (ccRCC). Biomarker analyses have demonstrated that gene expression profiles are associated with regimen-specific outcomes. These transcriptomic analyses used mixed sample cohorts (primary and metastatic tumor specimens) and it is unknown whether the clinical relevance of transcriptomic signatures is impacted by tissue site. We evaluated data for 1132 patients with metastatic ccRCC treated with ICI in prior studies (IMmotion151 and CheckMate-009, -010, and -025). We identified significant and reproducible differences in gene expression by tissue site. We tested the association between previously described molecular tissue clusters (MTCs) by tissue site (MTC1-primary and MTC1-metastasis) and progression-free survival (PFS) and objective response to systemic therapy. In IMmotion151, MTC2-metastasis was significantly associated with better PFS on sunitinib (hazard ratio [HR] 3.39, 95% confidence interval [CI] 1.32-8.69; p = 0.01) in comparison to MTC2-primary (HR 0.95, 95% CI 0.65-1.38; p = 0.80; pinteraction = 0.02). Evaluation of known RNA signatures in the CheckMate trials revealed that JAVELIN-metastasis was associated with better PFS on ICI (HR 0.77, 95% CI 0.62-0.97; p = 0.03) in comparison to JAVELIN-primary (HR 1.04, 95% CI 0.91-1.19; p = 0.56; pinteraction = 0.02). These results indicate that tissue site may be a relevant confounder in biomarker analyses.

PTPRZ1 dephosphorylates and stabilizes RNF26 to reduce the efficacy of TKIs and PD-1 blockade in ccRCC

Clear cell renal cell carcinoma (ccRCC), the most common subtype of renal cell carcinoma, often exhibits resistance to tyrosine kinase inhibitors (TKIs) when used as monotherapy. However, the integration of PD-1 blockade with TKIs has significantly improved patient survival, making it a leading therapeutic strategy for ccRCC. Despite these advancements, the efficacy of this combined therapy remains suboptimal, necessitating a deeper understanding of the underlying regulatory mechanisms. Through comprehensive analyses, including mass spectrometry, RNA sequencing, lipidomic profiling, immunohistochemical staining, and ex vivo experiments, we explored the interaction between PTPRZ1 and RNF26 and its impact on ccRCC cell behavior. Our results revealed a unique interaction where PTPRZ1 stabilized RNF26 protein expression by dephosphorylating it at the Y432 site. The modulation of RNF26 levels by PTPRZ1 was found to be mediated through the proteasome pathway. Additionally, PTPRZ1, via its interaction with RNF26, activated the TNF/NF-κB signaling pathway, thereby promoting cell proliferation, angiogenesis, and lipid metabolism in ccRCC cells. Importantly, inhibiting PTPRZ1 enhanced the sensitivity of ccRCC to TKIs and PD-1 blockade, an effect that was attenuated when RNF26 was simultaneously knocked down. These findings highlight the critical role of the PTPRZ1-RNF26 axis in ccRCC and suggest that combining PTPRZ1 inhibitors with current TKIs and PD-1 blockade therapies could significantly improve treatment outcomes for ccRCC patients.

Bispecific Antibodies, Immune Checkpoint Inhibitors, and Antibody-Drug Conjugates Directing Antitumor Immune Responses: Challenges and Prospects

Tumor immunotherapy includes bispecific antibodies (BsAbs), immune checkpoint inhibitors (ICIs), vaccines, and adoptive cell immunotherapy. BsAbs belong to the family of antibodies that can specifically target two or more different antigens and are a promising option for tumor immunotherapy. Immune checkpoints are antibodies targeting PD-1, PD-L1, and CTLA4 and have demonstrated remarkable therapeutic efficacy in the treatment of hematological and solid tumors, whose combination therapies have been shown to synergistically enhance the antitumor effects of BsAbs. In addition, the clinical efficacy of existing monoclonal antibodies targeting PD-1 (e.g., ipilimumab, nivolumab, pembrolizumab, and cemiplimab) and PD-L1 (e.g., atezolizumab, avelumab, and durvalumab) could also be enhanced by conjugation to small drugs as antibody-drug conjugates (ADCs). The development of truly effective therapies for patients with treatment-resistant cancers can be achieved by optimizing the various components of ADCs.

Tivozanib Monotherapy in the Frontline Setting for Patients with Metastatic Renal Cell Carcinoma and Favorable Prognosis

PURPOSE OF REVIEW

In this review, we discuss which patients with metastatic clear cell renal cell carcinoma (mRCC) may be most suitable for frontline tyrosine kinase inhibitor (TKI) monotherapy, a treatment option supported by emerging long-term efficacy data including overall survival and quality of life. We specifically focus on tivozanib, a potent and selective inhibitor of vascular endothelial growth factor receptor, which has comparable efficacy to other single-agent TKIs in frontline treatment for mRCC while exhibiting fewer off-target side effects.

RECENT FINDINGS

Combination therapy with TKIs and checkpoint inhibitors (CPIs) and CPI/CPI combination therapies, as well as TKI monotherapy are recommended frontline treatment options for mRCC. Treatment decisions are complex and based on several factors, including the patient's International Metastatic RCC Database Consortium risk status, age, comorbidities, and personal preferences related to response, tolerability, and quality of life. TKIs not only serve as backbone of most combination therapies for mRCC, but also remain a viable monotherapy option in the first-line setting for patients in favorable risk groups and those with contraindications to CPI combination therapies. Given that overall survival benefits have not yet been confirmed for CPI-containing combination regimens in favorable risk patients, we argue that frontline single-agent TKI treatment remains a standard of care option for these patients. This is supported by treatment guidelines, even in the era of TKI/CPI combination therapies.

Guiding treatment decisions in renal cell carcinoma: the role of biomarkers and clinical factors

PURPOSE OF REVIEW

Immune checkpoint inhibitors (ICIs) have transformed the treatment landscape for metastatic renal cell carcinoma (mRCC), significantly improving overall survival and achieving durable responses. This review is timely due to the increasing number of ICI-based regimens now considered standard care for RCC. There is an urgent need to identify reliable biomarkers that can predict therapeutic responses and resistance, a key challenge in current research.

RECENT FINDINGS

While tumor-specific factors such as pathological characteristics, genomic mutations, and transcriptional profiles have been extensively studied, no definitive predictive biomarker has yet emerged. Additionally, advanced technologies are being explored to address tumor heterogeneity. Recent research has focused on novel areas such as the microbiome, radiomics, and spatial transcriptomics, which show promise as potential biomarkers.

SUMMARY

The translation of these emerging biomarker findings into clinical practice is essential to improving personalized treatment strategies for RCC. Until reliable biomarkers are clinically available, clinical factors may play a pivotal role in guiding individualized treatment decisions to optimize patient outcomes.

Engineered Biomimetic Nanovesicles Synergistically Remodel Folate-Nucleotide and γ-Aminobutyric Acid Metabolism to Overcome Sunitinib-Resistant Renal Cell Carcinoma

Reprogramming of cellular metabolism in tumors promoted the epithelial-mesenchymal transition (EMT) process and established immune-suppressive tumor microenvironments (iTME), leading to drug resistance and tumor progression. Therefore, remodeling the cellular metabolism of tumor cells was a promising strategy to overcome drug-resistant tumors. Herein, CD276 and MTHFD2 were identified as a specific marker and a therapeutic target, respectively, for targeting sunitinib-resistant clear cell renal cell carcinoma (ccRCC) and its cancer stem cell (CSC) population. The blockade of MTHFD2 was confirmed to overcome drug resistance via remodeling of folate-nucleotide metabolism. Moreover, the manganese dioxide nanoparticle was proven here by a high-throughput metabolome to be capable of remodeling γ-aminobutyric acid (GABA) metabolism in tumor cells to reconstruct the iTME. Based on these findings, engineered CD276-CD133 dual-targeting biomimetic nanovesicle EMφ-siMTHFD2-MnO2@Suni was designed to overcome drug resistance and terminate tumor progression of ccRCC. Using ccRCC-bearing immune-humanized NPG model mice, EMφ-siMTHFD2-MnO2@Suni was observed to remodel folate-nucleotide and GABA metabolism to deactivate the EMT process and reconstruct the iTME thereby overcoming the drug resistance. In the incomplete-tumor-resection recurrence model and metastasis model, EMφ-siMTHFD2-MnO2@Suni reduced recurrence and metastasis in vivo. This work thus provided an innovative approach that held great potential in the treatment of drug-resistant ccRCC by remodeling cellular metabolism.

A Phase 2 Trial of Talazoparib and Avelumab in Genomically Defined Metastatic Kidney Cancer

BACKGROUND

Although different kidney cancers represent a heterogeneous group of malignancies, multiple subtypes including Von Hippel-Lindau (VHL)-altered clear cell renal cell carcinoma (ccRCC), fumarate hydratase (FH)- and succinate dehydrogenase (SDH)-deficient renal cell carcinoma (RCC), and renal medullary carcinoma (RMC) are affected by genomic instability. Synthetic lethality with poly ADP-ribose polymerase inhibitors (PARPis) has been suggested in preclinical models of these subtypes, and paired PARPis with immune checkpoint blockade (ICB) may achieve additive and/or synergistic effects in patients with previously treated advanced kidney cancers.

OBJECTIVE

To evaluate combined PARPi + ICB in treatment-refractory metastatic kidney cancer.

DESIGN, SETTING, AND PARTICIPANTS

We conducted a single-center, investigator-initiated phase 2 trial in two genomically selected advanced kidney cancer cohorts: (1) VHL-altered RCC with at least one prior ICB agent and one vascular endothelial growth factor (VEGF) inhibitor, and (2) FH- or SDH-deficient RCC with at least one prior ICB agent or VEGF inhibitor and RMC with at least one prior line of chemotherapy.

INTERVENTION

Patients received talazoparib 1 mg daily plus avelumab 800 mg intravenously every 14 d in 28-d cycles.

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

The primary endpoint was objective response rate (ORR) by Immune Response Evaluation Criteria in Solid Tumors at 4 mo, and the secondary endpoints included progression-free survival (PFS), overall survival, and safety.

RESULTS AND LIMITATIONS

Cohort 1 consisted of ten patients with VHL-altered ccRCC. All patients had previously received ICB. The ORR was 0/9 patients; one patient was not evaluable due to missed doses. In this cohort, seven patients achieved stable disease (SD) as the best response. The median PFS was 3.5 mo (95% confidence interval [CI] 1.0, 3.9 mo). Cohort 2 consisted of eight patients; four had FH-deficient RCC, one had SDH-deficient RCC, and three had RMC. In this cohort, six patients had previously received ICB. The ORR was 0/8 patients; two patients achieved SD as the best response and the median PFS was 1.2 mo (95% CI 0.4, 2.9 mo). The most common treatment-related adverse events of all grades were fatigue (61%), anemia (28%), nausea (22%), and headache (22%). There were seven grade 3-4 and no grade 5 events.

CONCLUSIONS

The first clinical study of combination PARPi and ICB therapy in advanced kidney cancer did not show clinical benefit in multiple genomically defined metastatic RCC cohorts or RMC.

PATIENT SUMMARY

We conducted a study to look at the effect of two medications, talazoparib and avelumab, in patients with metastatic kidney cancer who had disease progression on standard treatment. Talazoparib blocks the normal activity of molecules called poly ADP-ribose polymerase, which then prevents tumor cells from repairing themselves and growing, while avelumab helps the immune system recognize and kill cancer cells. We found that the combination of these agents was safe but not effective in specific types of kidney cancer.

Multidisciplinary systemic and local therapies for metastatic renal cell carcinoma: a narrative review

INTRODUCTION

Systemic and local therapies for patients with metastatic renal cell carcinoma (mRCC) are often challenging despite the evolution of multimodal cancer therapies in the last decade. In this review, we will focus on recent multidisciplinary approaches for patients with mRCC.

AREAS COVERED

Systemic therapies for patients with mRCC have been garnering attention particularly after the approval of immuno-oncology (IO) agents, including anti-programmed death 1/programmed death-ligand 1. IO combinations have significantly prolonged overall survival in patients with mRCC in the first-line setting. Regarding local therapies, cytoreductive nephrectomy (CN) has become less common in the post-Cancer du Rein Metastatique Nephrectomie et Antiangiogéniques (CARMENA) trial era, even though CN may still benefit selected patients with mRCC. In addition, metastasis-directed local therapies, namely metastasectomy or stereotactic radiotherapy, particularly for oligo-metastatic lesions or brain metastases, may have a prognostic impact. Several ablative techniques are also evolving while maintaining high local control rates with acceptable safety.

EXPERT OPINION

Multimodal cancer therapies are essential for conquering complex cases of mRCC. Modern systemic therapies including IO-based combination therapy as well as local therapies including CN, metastasectomy, stereotactic radiotherapy, and ablative techniques appear to improve oncologic outcomes of patients with mRCC, although appropriate patient selection is indispensable.

Adrenal Metastases Are Associated with Poor Outcomes in Patients with Metastatic Clear Cell Renal Cell Carcinoma Treated with Nivolumab in the GETUG-AFU-26 NIVOREN Phase 2 Trial

BACKGROUND

Glandular metastases (GMs; adrenal gland, pancreas, thyroid, ovary, breast, or prostate) are rare in metastatic clear cell renal cell carcinoma (mccRCC). Previous studies have indicated that GM patients treated with antiangiogenic therapy experience significantly longer overall survival (OS).

OBJECTIVES

To assess outcomes for mccRCC with or without GMs treated with nivolumab.

DESIGN, SETTING, AND PARTICIPANTS

The GETUG-AFU-26 NIVOREN phase 2 trial evaluated the activity and safety of nivolumab in patients with mccRCC who experienced failure of antiangiogenic therapies (NCT03013335). In this ancillary study, patients were divided into two groups according to the presence or absence of at least one GM.

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

The primary outcome was OS; secondary outcomes were progression-free survival (PFS) and the objective response rate (ORR). Survival was estimated using the Kaplan-Meier method. Univariate and multivariable Cox regression models are used to estimate the hazard ratio (HR) with 95% confidence interval (CI) for survival outcomes. Subgroup analyses were performed for patients with pancreatic metastases and patients with adrenal metastases.

RESULTS AND LIMITATIONS

Among 720 patients treated with nivolumab between February 2016 and July 2017, 217 had GMs, of whom 151/217 had adrenal metastases and 86/217 had pancreatic metastasis. Patients with adrenal metastases had worse 12-mo OS (64% vs 71.1%) and 6-mo PFS (27.2% vs 36.6%) and a lower objective response rate (12.5%, 95% CI 7.6%-19.0%, vs 23.2%, 95% CI 19.8-27.0%; p = 0.005) than patients without adrenal metastases. Conversely, univariate analysis showed that patients with pancreatic metastases had significantly better 12-mo OS (82.3% vs 67.9%; HR 0.59, 95% CI 0.40-0.85) in comparison to patients with nonpancreatic GMs. On multivariable analysis, only adrenal metastasis remained associated with adverse prognosis.

CONCLUSIONS

Adrenal metastasis is an independent prognostic factor for poor response and survival in the GETUG-AFU-26 NIVOREN trial. Limited activity with nivolumab was observed for patients with mccRCC with adrenal metastases. These results warrant an evaluation of the prognostic value of adrenal metastases in patients treated with immunotherapy combinations with ipilimumab or tyrosine kinase inhibitors.

PATIENT SUMMARY

Our study showed that metastasis in the adrenal glands could be an independent factor associated with poor response to immunotherapy and survival for patients with metastatic kidney cancer. It would be useful to evaluate the prognostic value of adrenal gland metastasis in patients treated with immunotherapy combinations or immunotherapy agents combined with drugs called tyrosine kinase inhibitors.

Advancements in neoadjuvant immune checkpoint inhibitor therapy for locally advanced head and neck squamous Carcinoma: A narrative review

The prevalent treatment paradigm for locally advanced head and neck squamous carcinoma (HNSCC) typically entails surgery followed by adjuvant radiotherapy and chemotherapy. Despite this, a significant proportion of patients experience recurrence and metastasis. Immune checkpoint inhibitors (ICIs), notably pembrolizumab and nivolumab, have been established as the first and second lines of treatment for recurrent and metastatic HNSCC (R/M HNSCC). The application of ICIs as neoadjuvant immunotherapy in this context is currently under rigorous investigation. This review synthesizes data from clinical trials focusing on neoadjuvant ICIs, highlighting that the pathological responses elicited by these treatments are promising. Furthermore, it is noted that the safety profiles of both monotherapy and combination therapies with ICIs are manageable, with no new safety signals identified. The review concludes by contemplating the future direction and challenges associated with neoadjuvant ICI therapy, encompassing aspects such as the refinement of imaging and pathological response criteria, selection criteria for adjuvant therapies, evaluation of the efficacy and safety of various combination treatment modalities, and the identification of responsive patient cohorts.

Évolution de la prise en charge du cancer du rein : place des biomarqueurs et facteurs pronostiques

Evolution of the support kidney cancer: place of biomarkers and prognostic factors.

Une nouvelle place pour les biomarqueurs circulants dans le cancer du rein en 2024 ?

A new role for biomarkers circulating in kidney cancer in 2024?

High grade adverse event reporting and enrolment in gynecologic oncology clinical trials

OBJECTIVE

The primary objective is to assess factors associated with treatment related high grade (CTCAE grade ≥ 3) adverse event (AE) reporting among participants in gynecologic oncology clinical trials.

METHODS

All AEs recorded in the Princess Margaret Clinical Trial adverse event database between 01/2016 and 12/2018 were evaluated. Gynecologic oncology clinical trials assessing systemic therapy were included. Inferential statistics on risk factors of related grade ≥ 3 adverse event reporting and GEE logistic models with Odds Ratios (OR) were performed. Multivariable analysis adjusting for age, clinical trial phase, sponsor, and therapy type.

RESULTS

The gynecology cancer clinical trials accrued 317 unique patients (359 nested on trials) in 42 systemic therapy trials. In the period, 17,175 related AEs were reported in the gynecological cancer trials, 7.4% were grade ≥ 3. On multivariable analysis, no odds differences of grade ≥ 3 related AEs were detected according to study phase. Patients in immunotherapy clinical trials had lower odds of related grade ≥ 3 AEs than patients on targeted or other therapy (adjusted OR [aOR] 0.43; 95% CI 0.24-0.75). There was greater odds of related grade ≥ 3 AEs in clinical trials assessing combination vs single therapeutics (aOR 2.26, 95% CI 1.34-3.80). Patients aged ≥65 (aOR 1.77; 95% CI 1.08-2.89) had greater odds of related grade ≥ 3 AEs than patients aged 50 to 65 years. When compared to other disease sites, the odds of having a grade  ≥ 3 related AE reported in gynecology clinical trials was no different.

CONCLUSIONS

In this cohort, factors influencing the odds of related grade ≥ 3 AE reporting in gynecologic trials included type of therapy and age. The study phase did not correlate with odds of high-grade AE reporting.

A spatial architecture-embedding HLA signature to predict clinical response to immunotherapy in renal cell carcinoma

An important challenge in the real-world management of patients with advanced clear-cell renal cell carcinoma (aRCC) is determining who might benefit from immune checkpoint blockade (ICB). Here we performed a comprehensive multiomics mapping of aRCC in the context of ICB treatment, involving discovery analyses in a real-world data cohort followed by validation in independent cohorts. We cross-connected bulk-tumor transcriptomes across >1,000 patients with validations at single-cell and spatial resolutions, revealing a patient-specific crosstalk between proinflammatory tumor-associated macrophages and (pre-)exhausted CD8+ T cells that was distinguished by a human leukocyte antigen repertoire with higher preference for tumoral neoantigens. A cross-omics machine learning pipeline helped derive a new tumor transcriptomic footprint of neoantigen-favoring human leukocyte antigen alleles. This machine learning signature correlated with positive outcome following ICB treatment in both real-world data and independent clinical cohorts. In experiments using the RENCA-tumor mouse model, CD40 agonism combined with PD1 blockade potentiated both proinflammatory tumor-associated macrophages and CD8+ T cells, thereby achieving maximal antitumor efficacy relative to other tested regimens. Thus, we present a new multiomics and spatial map of the immune-community architecture that drives ICB response in patients with aRCC.

Validation of the Lung Immune Prognostic Index (LIPI) as a prognostic biomarker in metastatic renal cell carcinoma

BACKGROUND

The Lung Immune Prognostic Index (LIPI) is associated with immune checkpoint inhibitors (ICI) outcomes across different solid tumors, particularly in non-small cell lung cancer. Data regarding the prognostic and/or predictive role of LIPI in metastatic renal cell carcinoma (mRCC) are still scarce. The aim of this study was to evaluate whether LIPI could be predictive of survival in mRCC patients.

METHODS

We used patient level data from three different prospective studies (NIVOREN trial: nivolumab; TORAVA trial: VEGF/VEGFR-targeted therapy (TT); CheckMate 214: nivolumab-ipilimumab vs sunitinib). LIPI was calculated based on a derived neutrophils/(leukocyte-neutrophil) ratio > 3 and lactate-dehydrogenase >upper limit of normal, classifying patients into three groups (LIPI good, 0 factors;LIPI intermediate (int), 1 factor;LIPI poor, 2 factors) and/or into two groups (LIPI good, 0 factors;LIPI int/poor, 1-2 factors) according to trial sample size. Primary and secondary endpoints were overall survival (OS) and progression-free survival (PFS).

RESULTS

In the Nivolumab dataset (n = 619), LIPI was significantly associated with OS (LIPI-good 30.1 vs 13.8 months in the LIPI int/poor; HR= 0.47) and PFS (HR=0.74). In the VEGF/VEGFR-TT dataset (n = 159), only a correlation with PFS was observed. In the CheckMate214 dataset (n = 1084), LIPI was significantly associated with OS (nivolumab-ipilimumab OS LIPI good vs int/poor: HR=0.55, p < 0.0001; sunitinib: OS LIPI good vs int/poor: 0.38, p < 0.0001) in both treatment groups in univariate and multivariate analysis.

CONCLUSIONS

Pretreatment-LIPI correlated with worse survival outcomes in mRCC treated with either ICI or antiangiogenic therapy, confirming LIPI's prognostic role in mRCC irrespective of systemic treatment used.

Immunotherapy combination approaches: mechanisms, biomarkers and clinical observations

The approval of the first immune checkpoint inhibitors provided a paradigm shift for the treatment of malignancies across a broad range of indications. Whereas initially, single-agent immune checkpoint inhibition was used, increasing numbers of patients are now treated with combination immune checkpoint blockade, where non-redundant mechanisms of action of the individual agents generally lead to higher response rates. Furthermore, immune checkpoint therapy has been combined with various other therapeutic modalities, including chemotherapy, radiotherapy and other immunotherapeutics such as vaccines, adoptive cellular therapies, cytokines and others, in an effort to maximize clinical efficacy. Currently, a large number of clinical trials test combination therapies with an immune checkpoint inhibitor as a backbone. However, proceeding without inclusion of broad, if initially exploratory, biomarker investigations may ultimately slow progress, as so far, few combinations have yielded clinical successes based on clinical data alone. Here, we present the rationale for combination therapies and discuss clinical data from clinical trials across the immuno-oncology spectrum. Moreover, we discuss the evolution of biomarker approaches and highlight the potential new directions that comprehensive biomarker studies can yield.

Biomarqueurs émergents dans les cancers du rein à cellules claires

Emerging biomarkers in clear cell kidney cancer.

Immune Checkpoint Inhibitors and Cardiotoxicity: A Comparative Meta-Analysis of Observational Studies and Randomized Controlled Trials

BACKGROUND

Immune checkpoint inhibitors (ICIs) have uncommon associations with cardiotoxicity, yet these cardiotoxic effects are associated with high mortality. An accurate assessment of risk for cardiotoxicity is essential for clinical decision-making, but data from randomized controlled trials often differ from real-world observational studies.

METHODS AND RESULTS

A systematic search of PubMed, Embase, Cochrane Library, and Scopus was performed, including phase II and III randomized controlled trials (RCTs) and observational studies (OSs) reporting myocarditis or pericardial disease, myocardial infarction, or stroke with an immunotherapy. Odds ratios (ORs) were used to pool results between ICIs and other cancer therapy in RCTs and OSs. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline was followed. In total, 54 RCTs (N=38 264) and 24 OSs (N=12 561 455) were included. In RCTs, ICI use resulted in higher risk of myocarditis (OR, 3.55 [95% CI, 2.10-5.98]), pericardial disease (OR, 2.73 [95% CI, 1.57-4.77]), and myocardial infarction (OR, 1.83 [95% CI, 1.03-3.25]), compared with non-ICI (placebo or chemotherapy). In OSs, ICI use was not associated with myocarditis, pericardial disease, or myocardial infarction compared with controls; however, combination ICIs demonstrated higher risk of myocarditis compared with single ICI use (OR, 3.07 [95% CI, 1.28-7.39]). Stroke risk was not increased with use of ICIs in RCTs.

CONCLUSIONS

We demonstrated increased risk of ICI myocarditis, pericardial disease, and myocardial infarction in RCTs but not OSs. Results of this study suggest there are differences between ICI cardiotoxicity risk, possibly suggesting differences in diagnoses and management, in clinical trials versus the OSs.

Effect of Annexin A2 on prognosis and sensitivity to immune checkpoint plus tyrosine kinase inhibition in metastatic renal cell carcinoma

BACKGROUND

Immunotherapy (IO) plus tyrosine kinase inhibitor (TKI) therapy is the first-line recommendation for advanced renal cell carcinoma (RCC), but no biomarker has been approved for it. Annexin A2 (ANXA2) can induce immune escape in tumors.

METHODS

Two independent cohorts of advanced RCC treated by IO + TKI were utilized for survival analysis (ZS-MRCC, n = 45; Javelin-101, n = 726). ANXA2 expression was determined by RNA-sequencing. The impact of ANXA2 on the tumor microenvironment was assessed by RNA-sequencing, flow cytometry and immunohistochemistry in two localized RCC datasets (ZS-HRRCC, n = 40; TCGA-KIRC, n = 530).

RESULTS

ANXA2 was upregulated in non-responders of IO + TKI therapy (p = 0.027). High-ANXA2 group showed poor progression-free survival (PFS) in both the ZS-MRCC cohort (HR, 2.348; 95% CI 1.084-5.085; P = 0.025) and the Javelin-101 cohort (HR, 1.472; 95% CI 1.043-2.077; P = 0.027). Multivariate Cox regression determined ANXA2 as an independent prognostic factor (HR, 2.619; 95% CI 1.194-5.746; P = 0.016). High-ANXA2 was correlated with decreased proportion of granzyme B+ CD8+ T cells (Spearman's ρ = - 0.40, P = 0.01), and increased TIM-3+ (Spearman's ρ = 0.43, P < 0.001) and CTLA4+ (Spearman's ρ = 0.49, P < 0.001) tumor-infiltrating lymphocytes. A random forest (RF) score was further build by integrating ANXA2 and immune genes, which stratified patients who would benefit from IO + TKI therapy (low-RF score, IO + TKI vs TKI, HR = 0.453, 95% CI 0.328-0.626; high-RF score, IO + TKI vs TKI, HR = 0.877, 95% CI 0.661-1.165; interaction P = 0.003).

CONCLUSIONS

Upregulated ANXA2 was associated with poor PFS and therapeutic resistance in RCC treated by IO + TKI therapy, and related with T cell exhaustion. The integrated RF score could stratify patients who would benefit from IO + TKI therapy.

INDUCE-2: A Phase I/II, open-label, two-part study of feladilimab in combination with tremelimumab in patients with advanced solid tumors

Combining immunotherapies with distinct mechanisms of action has the potential to overcome treatment resistance and improve outcomes. The inducible T-cell co-stimulator (ICOS) agonist feladilimab is directed at enhancing T-cell activation and function, thereby promoting an antitumor response. INDUCE-2 (NCT03693612) was a Phase I/II, open-label, two-part study evaluating the anti-ICOS agonist feladilimab in combination with the anti-CTLA-4 antibody tremelimumab in patients with select advanced solid tumors. Objectives of Part 1 were to determine the safety, tolerability, and recommended phase 2 dose (RP2D) of feladilimab in combination with tremelimumab. In Part 2, the antitumor activity of the combination (administered at the RP2D determined in Part 1) was to be assessed in patients with relapsed/refractory head and neck squamous cell carcinoma. Primary endpoints included the rates of dose-limiting toxicities (DLTs), adverse events (AEs), AEs of special interest, and serious AEs. Secondary endpoints included overall response rate, while biomarker assessment was exploratory. A total of 26 patients were enrolled, 18 (69%) of whom had completed the study at end date. One patient, in the highest dose group (24/225 mg feladilimab/tremelimumab), experienced a DLT 18 days after the first dose of study treatment. All patients experienced at least one AE; AEs led to treatment discontinuation in four (15%) patients. Partial response was observed in one patient. Feladilimab in combination with tremelimumab was well-tolerated but showed limited efficacy. Based on the totality of data from Part 1, it was decided not to continue with Part 2.

Microvascular rarefaction caused by the NOTCH signaling pathway is a key cause of TKI-apatinib-induced hypertension and cardiac damage

With the advancement of tumour-targeted therapy technology, the survival of cancer patients has continued to increase, and cardiovascular events have gradually become an important cause of death in cancer patients. This phenomenon occurs due to adverse cardiovascular reactions caused by the cardiovascular toxicity of antitumour therapy. Moreover, the increase in the proportion of elderly patients with cancer and cardiovascular diseases is due to the extension of life expectancy. Hypertension is the most common cardiovascular side effect of small molecule tyrosine kinase inhibitors (TKIs). The increase in blood pressure induced by TKIs and subsequent cardiovascular complications and events affect the survival and quality of life of patients and partly offset the benefits of antitumour therapy. Many studies have confirmed that in the pathogenesis of hypertension, arterioles and capillary thinness are involved in its occurrence and development. Our previous findings showing that apatinib causes microcirculation rarefaction of the superior mesenteric artery and impaired microvascular growth may inspire new therapeutic strategies for treating hypertension. Thus, by restoring microvascular development and branching patterns, total peripheral resistance and blood pressure are reduced. Therefore, exploring the key molecular targets of TKIs that inhibit the expression of angiogenic factors and elucidating the specific molecular mechanism involved are key scientific avenues for effectively promoting endothelial cell angiogenesis and achieving accurate repair of microcirculation injury in hypertension patients.

Notch activation defines immune-suppressive subsets of ccRCCs with unfavorable benefits from immunotherapy over VEGFR/mTOR inhibitors

The evolutionarily conserved Notch pathway, involved in cancer stem cell capacity and cancer immunity, may predict the benefit from immune checkpoint inhibitors (ICIs) in clear cell renal cell carcinoma (ccRCC). In the TCGA dataset, mRNA expression of Notch pathway genes identified three clusters with different prognoses and molecular characteristics. Based on the differentially expressed Notch pathway genes between clusters, we constructed the Notch-score, correlated with Notch activation, angiogenesis, PI3K-AKT-mTOR activity, and sensitivities to VEGFR/mTOR inhibitors. A high Notch-score was linked with more "resting"/"anti-inflammatory" rather than "activated"/"pro-inflammatory" tumor-infiltrating immune cells, inactivated immune pathways, and scarce any benefits from ICI-based therapies over VEGFR/mTOR inhibitors in the JAVELIN Renal 101 (avelumab plus axitinib vs. sunitinib) and the CheckMate-009/010/025 trials (nivolumab vs. everolimus). For the Notch-activated ccRCCs, ICIs provide limited advantages and might not be strongly recommended, by which the cost-effectiveness of treatments in ccRCCs may be potentially improved.

RUNX3 pathway signature predicts clinical benefits of immune checkpoint inhibition plus tyrosine kinase inhibition in advanced renal cell carcinoma

BACKGROUND

Checkpoint inhibitor immunotherapy plus tyrosine kinase inhibitor (IO/TKI) have been recently recommended as standard first-line therapy for advanced renal cell carcinoma, while no clinical-available biomarker has been applied. This study aimed to investigate the associations between RUNX3 pathway signature and IO/TKI benefits in renal cell carcinoma (RCC).

METHODS

Two IO/TKI cohorts (ZS-MRCC, JAVELIN-101) and one high-risk localized RCC cohort (ZS-HRRCC) were included. All samples were evaluated by RNA-sequencing, and RUNX Family Transcription Factor 3 (RUNX3) pathway were determined by single sample gene set enrichment analysis. Flow cytometry were applied for immune cell infiltration and function.

RESULTS

RUNX3 signature was elevated in RCC samples, compared non-tumor tissues (P < 0.001). High-RUNX3 signature was associated with shorter progression-free survival (PFS) in both IO/TKI cohorts (ZS-MRCC cohort, P = 0.025; JAVELIN-101 cohort, P = 0.019). RUNX3 signature also predicted IO/TKI benefit in advanced RCC, compared with TKI monotherapy (interaction p = 0.027). RUNX3 signature was associated with decreased number of GZMB + CD8 + T cells (Spearman's ρ=-0.42, P = 0.006), and increased number of PD1 + CD8 + T cells (Spearman's ρ = 0.29, P = 0.072). Moreover, the integration of RUNX3 signature and GZMB expression showed predictive potential for TKI/IO (log-rank P < 0.001). In addition, the predictive value of RUNX3 signature for IO/TKI benefit was restricted in SETD2-wild type patients (log-rank P < 0.001). Finally, a risk score was established by random forest for IO/TKI benefit, showing remarkable predictive potency (Log-rank P < 0.001).

CONCLUSIONS

RUNX3 pathway signature could be a potential predictive biomarker for IO/TKI treatment in advanced RCC, for both prognosis and treatment selection between IO/TKI and TKI monotherapy.

All-cause and immune checkpoint inhibitor-associated acute kidney injury in immune checkpoint inhibitor users: a meta-analysis of occurrence rate, risk factors and mortality

Background

Immune checkpoint inhibitors (ICIs) have been associated with acute kidney injury (AKI). However, the occurrence rate of ICI-related AKI has not been systematically examined. Additionally, exposure to proton pump inhibitors (PPIs) and non-steroidal anti-inflammatory drugs (NSAIDs) were considered as risk factors for AKI, but with inconclusive results in ICI-related AKI. Our aim was to analyse the occurrence rate of all-cause AKI and ICI-related AKI and the occurrence rates of severe AKI and dialysis-requiring AKI, and to determine whether exposure to PPIs and NSAIDs poses a risk for all-cause and ICI-related AKI.

Methods

This study population was adult ICI recipients. A systematic review was conducted by searching MEDLINE, Embase and PubMed through October 2023. We included prospective trials and observational studies that reported any of the following outcomes: the occurrence rate of all-cause or ICI-related AKI, the relationship between PPI or NSAID exposure and AKI development or the mortality rate in the AKI or non-AKI group. Proportional meta-analysis and pairwise meta-analysis were performed. The evidence certainty was assessed using the Grading of Recommendations Assessment, Development and Evaluation framework.

Results

A total of 120 studies comprising 46 417 patients were included. The occurrence rates of all-cause AKI were 7.4% (14.6% from retrospective studies and 1.2% from prospective clinical trials). The occurrence rate of ICI-related AKI was 3.2%. The use of PPIs was associated with an odds ratio (OR) of 1.77 [95% confidence interval (CI) 1.43-2.18] for all-cause AKI and an OR of 2.42 (95% CI 1.96-2.97) for ICI-related AKI. The use of NSAIDs was associated with an OR of 1.77 (95% CI 1.10-2.83) for all-cause AKI and an OR of 2.57 (95% CI 1.68-3.93) for ICI-related AKI.

Conclusions

Our analysis revealed that approximately 1 in 13 adult ICI recipients may experience all-cause AKI, while 1 in 33 adult ICI recipients may experience ICI-related AKI. Exposure to PPIs and NSAIDs was associated with an increased OR risk for AKI in the current meta-analysis.

Update on Biomarkers in Renal Cell Carcinoma

Immune checkpoint inhibitors have significantly transformed the treatment paradigm for metastatic renal cell carcinoma (RCC), offering prolonged overall survival and achieving remarkable deep and durable responses. However, given the multiple ICI-containing, standard-of-care regimens approved for RCC, identifying biomarkers that predict therapeutic response and resistance is of critical importance. Although tumor-intrinsic features such as pathological characteristics, genomic alterations, and transcriptional signatures have been extensively investigated, they have yet to provide definitive, robust predictive biomarkers. Current research is exploring host factors through in-depth characterization of the immune system. Additionally, innovative technological approaches are being developed to overcome challenges presented by existing techniques, such as tumor heterogeneity. Promising avenues in biomarker discovery include the study of the microbiome, radiomics, and spatial transcriptomics.

Immuno-Oncology Advances in Genitourinary Cancers

Immuno-oncology (IO) has made monumental gains in the past decade in the genitourinary space. In this review, we highlight advances with IO in renal cell carcinoma where it now has become standard-of-care frontline therapy in the metastatic setting but also discuss challenges with the initial approach. In urothelial carcinoma, we discuss the growing use of IO including exciting recent updates with IO-based regimens that may soon become the new standard of care. We further discuss difficulties with IO in prostate cancer, germ cell tumors, and penile squamous cell carcinoma. Finally, we highlight advances in IO approaches beyond checkpoint inhibition including the role of the gut microbiome and T-cell redirecting therapies.

Unveiling the impact of tertiary lymphoid structures on immunotherapeutic responses of clear cell renal cell carcinoma

Tertiary lymphoid structures (TLS) are organized aggregates of immune cells that form under pathological conditions. However, the predictive value of TLS in clear cell renal cell carcinoma (ccRCC) for immunotherapies remains unclear. We comprehensively assessed the implications for prognosis and immunological responses of the TLS spatial and maturation heterogeneity in 655 ccRCC patients. A higher proportion of early-TLS was found in peritumoral TLS, while intratumoral TLS mainly comprised secondary follicle-like TLS (SFL-TLS), indicating markedly better survival. Notably, presence of TLS, especially intratumoral TLS and SFL-TLS, significantly correlated with better survival and objective reflection rate for ccRCC patients receiving anti-Programmed Cell Death Protein-1 (PD-1)/Programmed Cell Death-Ligand-1 (PD-L1) immunotherapies. In peritumoral TLS cluster, primary follicle-like TLS, the proportion of tumor-associated macrophages, and Treg infiltration in the peritumoral regions increased prominently, suggesting an immunosuppressive tumor microenvironment. Interestingly, spatial transcriptome annotation and multispectral fluorescence showed that an abundance of mature plasma cells within mature TLS has the capacity to produce IgA and IgG, which demonstrate significantly higher objective response rates and a superior prognosis for ccRCC patients subjected to immunotherapy. In conclusion, this study revealed the implications of TLS spatial and maturation heterogeneity on the immunological status and clinical responses, allowing the improvement of precise immunotherapies of ccRCC.

Treatment Landscape of Renal Cell Carcinoma

OPINION STATEMENT

The treatment landscape of renal cell carcinoma (RCC) has evolved significantly over the past three decades. Active surveillance and tumor ablation are alternatives to extirpative therapy in appropriately selected patients. Stereotactic body radiation therapy (SBRT) is an emerging noninvasive alternative to treat primary RCC tumors. The advent of immune checkpoint inhibitors (ICIs) has greatly improved the overall survival of advanced RCC, and now the ICI-based doublet (dual ICI-ICI doublet; or ICI in combination with a vascular endothelial growth factor tyrosine kinase inhibitor, ICI-TKI doublet) has become the standard frontline therapy. Based on unprecedented outcomes in the metastatic with ICIs, they are also being explored in the neoadjuvant and adjuvant setting for patients with high-risk disease. Adjuvant pembrolizumab has proven efficacy to reduce the risk of RCC recurrence after nephrectomy. Historically considered a radioresistant tumor, SBRT occupies an expanding role to treat RCC with oligometastasis or oligoprogression in combination with systemic therapy. Furthermore, SBRT is being investigated in combination with ICI-doublet in the advanced disease setting. Lastly, given the treatment paradigm is shifting to adopt ICIs at earlier disease course, the prospective studies guiding treatment sequencing in the post-ICI setting is maturing. The effort is ongoing in search of predictive biomarkers to guide optimal treatment option in RCC.

Silencing of genes by promoter hypermethylation shapes tumor microenvironment and resistance to immunotherapy in clear-cell renal cell carcinomas

The efficacy of immune checkpoint inhibitors varies in clear-cell renal cell carcinoma (ccRCC), with notable primary resistance among patients. Here, we integrate epigenetic (DNA methylation) and transcriptome data to identify a ccRCC subtype characterized by cancer-specific promoter hypermethylation and epigenetic silencing of Polycomb targets. We develop and validate an index of methylation-based epigenetic silencing (iMES) that predicts primary resistance to immune checkpoint inhibition (ICI) in the BIONIKK trial. High iMES is associated with VEGF pathway silencing, endothelial cell depletion, immune activation/suppression, EZH2 activation, BAP1/SETD2 deficiency, and resistance to ICI. Combination therapy with hypomethylating agents or tyrosine kinase inhibitors may benefit patients with high iMES. Intriguingly, tumors with low iMES exhibit increased endothelial cells and improved ICI response, suggesting the importance of angiogenesis in ICI treatment. We also develop a transcriptome-based analogous system for extended applicability of iMES. Our study underscores the interplay between epigenetic alterations and tumor microenvironment in determining immunotherapy response.

Comprehensive analyses of immune tumor microenvironment in papillary renal cell carcinoma

BACKGROUND

Papillary renal cell carcinoma (pRCC) is the most common non-clear cell RCC, and associated with poor outcomes in the metastatic setting. In this study, we aimed to comprehensively evaluate the immune tumor microenvironment (TME), largely unknown, of patients with metastatic pRCC and identify potential therapeutic targets.

METHODS

We performed quantitative gene expression analysis of TME using Microenvironment Cell Populations-counter (MCP-counter) methodology, on two independent cohorts of localized pRCC (n=271 and n=98). We then characterized the TME, using immunohistochemistry (n=38) and RNA-sequencing (RNA-seq) (n=30) on metastatic pRCC from the prospective AXIPAP trial cohort.

RESULTS

Unsupervised clustering identified two "TME subtypes", in each of the cohorts: the "immune-enriched" and the "immune-low". Within AXIPAP trial cohort, the "immune-enriched" cluster was significantly associated with a worse prognosis according to the median overall survival to 8 months (95% CI, 6 to 29) versus 37 months (95% CI, 20 to NA, p=0.001). The two immune signatures, Teff and JAVELIN Renal 101 Immuno signature, predictive of response to immune checkpoint inhibitors (CPI) in clear cell RCC, were significantly higher in the "immune-enriched" group (adjusted p<0.05). Finally, five differentially overexpressed genes were identified, corresponding mainly to B lymphocyte populations.

CONCLUSION

For the first time, using RNA-seq and immunohistochemistry, we have highlighted a specific immune TME subtype of metastatic pRCC, significantly more infiltrated with T and B immune population. This "immune-enriched" group appears to have a worse prognosis and could have a potential predictive value for response to immunotherapy, justifying the confirmation of these results in a cohort of metastatic pRCC treated with CPI and in combination with targeted therapies.

TRIAL REGISTRATION NUMBER

NCT02489695.

Tertiary lymphoid structures and B cells: An intratumoral immunity cycle

The generation of anti-tumor immunity in the draining lymph nodes is known as the cancer immunity cycle. Accumulating evidence supports the occurrence of such a cycle at tumor sites in the context of chronic inflammation. Here, we review the role of tertiary lymphoid structures (TLS) in the generation of T and B cell immunities, focusing on the impact of B cells that undergo full maturation, resulting in the generation of plasma cells (PCs) producing high-affinity IgG and IgA antibodies. In this context, we propose that antibodies binding to tumor cells induce macrophage or natural killer (NK)-cell-dependent apoptosis. Subsequently, released antigen-antibody complexes are internalized and processed by dendritic cells (DCs), amplifying antigen presentation to T cells. Immune complexes may also be fixed by follicular DCs (FDCs) in TLS, thereby increasing memory B cell responses. This amplification loop creates an intra-tumoral immunity cycle, capable of increasing sensitivity of tumors to immunotherapy even in cancers with low mutational burden.

Emerging Biomarkers of Response to Systemic Therapies in Metastatic Clear Cell Renal Cell Carcinoma

Patients with metastatic clear cell renal cell carcinoma (mccRCC) experience highly heterogeneous outcomes when treated with standard-of-care systemic regimens. Therefore, valid biomarkers are needed to predict the clinical response to these therapies and help guide management. In this review, the authors outline relevant and promising biomarkers for patients with mccRCC receiving systemic therapies, with a focus on immunotherapy-based regimens.

The prognostic significance of CDK6 expression in renal cell carcinoma treated by immune checkpoint plus tyrosine kinase inhibition

Checkpoint inhibitor immunotherapy plus tyrosine kinase inhibitor (IO/TKI) has become the first-line treatment for metastatic renal cell carcinoma (RCC), despite the lack of biomarkers. Cyclin-dependent kinase 6 (CDK6) has shown a regulatory role in antitumour response. The study enrolled two cohorts of metastatic RCC treated by IO/TKI (Zhongshan Hospital [ZS]-MRCC, n = 45; JAVELIN-101, n = 726) and two cohorts of localized RCC (ZS-HRRCC, n = 40; TCGA-KIRC, n = 530). CDK6 was evaluated by RNA-sequencing. Progression-free survival (PFS) was the primary endpoint. The prognostic role of CDK6 was evaluated by survival analysis. The correlation between CDK6 and tumour microenvironment was assessed by immunohistochemistry and flow cytometry. The high-CDK6 group displayed a lower response rate (13.6%) than the low-CDK6 group (56.5%) (P = .002). High-CDK6 was associated with poor PFS in both the ZS-MRCC cohort (high-CDK6, median PFS 6.4 months; low-CDK6, median PFS not reached; P = .010) and JAVELIN-101 cohort (high-CDK6, median PFS 10.0 months; low-CDK6, median PFS 13.3 month; P = .033). High-CDK6 was associated with increased PD1+ CD8+ T cells (Spearman's ρ = .47, P < .001) and decreased Granzyme B+ CD8+ T cells (Spearman's ρ = -.35, P = .030). Finally, a random forest score (RFscore) was built by integrating CDK6 and immunologic genes, which was associated with survival benefits of IO/TKI (RFscore-low, TKI vs IO/TKI, HR = 2.47, 95% CI 1.82-3.35, P < .001; RFscore-high, TKI vs IO/TKI, HR = 0.99, 95% CI 0.75-1.32, P = .963). Elevated CDK6 expression indicated resistance and poor PFS under IO/TKI therapy, which was related to exhausted CD8+ T cells. Integrated RFscore could evaluate the benefits of IO/TKI.

PAQR5 inhibits the growth and metastasis of clear cell renal cell carcinoma by suppressing the JAK/STAT3 signaling pathway

BACKGROUND

Clear cell renal cell carcinoma (ccRCC) has a high degree of malignancy and poor overall prognosis in advanced and metastatic patients. Therefore, it is of great significance to find new prognostic biomarkers and therapeutic targets for ccRCC. The expression of progestin and adipoQ receptor family member 5 (PAQR5) is significantly downregulated in ccRCC compared with normal tissues, but its specific mechanism and potential biological function in ccRCC remain unclear.

METHODS

The expression pattern of PAQR5 and the correlation between the PAQR5 expression and clinicopathological parameters and various survival periods in ccRCC patients were analyzed by using multiple public databases and ccRCC tissues chip. Its prognostic value was analyzed by univariate/multivariate Cox regression. In addition, MTT assay, EdU staining assay, flow cytometry, wound healing assay, transwell migration and invasion assay, colony formation assay, immunofluorescence assay, and a xenograft tumor model were conducted to assess the biological function of PAQR5 in ccRCC in vitro and in vivo.

RESULTS

Our results indicated that the downregulation of PAQR5 was demonstrated in ccRCC tumor tissues and associated with poorer OS, DSS, and PFI. Meanwhile, the univariate/multivariate Cox regression analysis confirmed that PAQR5 might serve as an independent prognostic factor for ccRCC, and its low expression was tightly correlated with tumor progression and distant metastasis. Mechanistically, a series of gain- and loss-of-function assay revealed that PAQR5 could suppress the ccRCC proliferation, invasion, metastasis, and tumorigenicity in vitro and in vivo by inhibiting the JAK/STAT3 signaling pathway.

CONCLUSION

Our study revealed the tumor suppressor role of PAQR5 in ccRCC. PAQR5 is a valuable prognostic biomarker for ccRCC and may provide new strategies for clinical targeted therapy.

Mesenchymal-like Tumor Cells and Myofibroblastic Cancer-Associated Fibroblasts Are Associated with Progression and Immunotherapy Response of Clear Cell Renal Cell Carcinoma

Immune checkpoint inhibitors (ICI) represent the cornerstone for the treatment of patients with metastatic clear cell renal cell carcinoma (ccRCC). Despite a favorable response for a subset of patients, others experience primary progressive disease, highlighting the need to precisely understand the plasticity of cancer cells and their cross-talk with the microenvironment to better predict therapeutic response and personalize treatment. Single-cell RNA sequencing of ccRCC at different disease stages and normal adjacent tissue (NAT) from patients identified 46 cell populations, including 5 tumor subpopulations, characterized by distinct transcriptional signatures representing an epithelial-to-mesenchymal transition gradient and a novel inflamed state. Deconvolution of the tumor and microenvironment signatures in public data sets and data from the BIONIKK clinical trial (NCT02960906) revealed a strong correlation between mesenchymal-like ccRCC cells and myofibroblastic cancer-associated fibroblasts (myCAF), which are both enriched in metastases and correlate with poor patient survival. Spatial transcriptomics and multiplex immune staining uncovered the spatial proximity of mesenchymal-like ccRCC cells and myCAFs at the tumor-NAT interface. Moreover, enrichment in myCAFs was associated with primary resistance to ICI therapy in the BIONIKK clinical trial. These data highlight the epithelial-mesenchymal plasticity of ccRCC cancer cells and their relationship with myCAFs, a critical component of the microenvironment associated with poor outcome and ICI resistance.

SIGNIFICANCE

Single-cell and spatial transcriptomics reveal the proximity of mesenchymal tumor cells to myofibroblastic cancer-associated fibroblasts and their association with disease outcome and immune checkpoint inhibitor response in clear cell renal cell carcinoma.

SEOM SOGUG clinical guideline for treatment of kidney cancer (2022)

Renal cancer is the seventh most common cancer in men and the tenth in women. The aim of this article is to review the diagnosis, treatment, and follow-up of renal carcinoma accompanied by recommendations with new evidence and treatment algorithms. A new pathologic classification of RCC by the World Health Organization (WHO) was published in 2022 and this classification would be considered a "bridge" to a future molecular classification. For patients with localized disease, surgery is the treatment of choice with nephron-sparing surgery recommended when feasible. Adjuvant treatment with pembrolizumab is an option for intermediate-or high-risk cases, as well as patients after complete resection of metastatic disease. More data are needed in the future, including positive overall survival data. Clinical prognostic classification, preferably IMDC, should be used for treatment decision making in mRCC. Cytoreductive nephrectomy should not be deemed mandatory in individuals with intermediate-poor IMDC/MSKCC risk who require systemic therapy. Metastasectomy can be contemplated in selected subjects with a limited number of metastases or long metachronous disease-free interval. For the population of patients with metastatic ccRCC as a whole, the combination of pembrolizumab-axitinib, nivolumab-cabozantinib, or pembrolizumab-lenvatinib can be considered as the first option based on the benefit obtained in OS versus sunitinib. In cases that have an intermediate IMDC and poor prognosis, the combination of ipilimumab and nivolumab has demonstrated superior OS compared to sunitinib. As for individuals with advanced RCC previously treated with one or two antiangiogenic tyrosine-kinase inhibitors, nivolumab and cabozantinib are the options of choice. When there is progression following initial immunotherapy-based treatment, we recommend treatment with an antiangiogenic tyrosine-kinase inhibitor. While no clear sequence can be advocated, medical oncologists and patients should be aware of the recent advances and new strategies that improve survival and quality of life in the setting of metastatic RC.

Tyrosine kinase and immune checkpoints inhibitors in favorable risk metastatic renal cell carcinoma: Trick or treat?

Over the past decade, the management of metastatic renal cell carcinoma (RCC) has undergone rapid evolution, culminating in a significant improvement in prognosis with frontline immunotherapy. RCC is a highly immunogenic and pro-angiogenic cancer, and mounting evidence has established the immunosuppressive effects of pro-angiogenic factors on the host's immune system. Anti-angiogenic agents such as tyrosine kinase inhibitors (TKIs) and bevacizumab, which obstruct the vascular endothelial growth factor pathway, have demonstrated the potential to enhance antitumor activity and improve the efficacy of immune checkpoint inhibitors (ICIs). Consequently, various combinations of TKIs and ICIs have been assessed and are currently considered the preferred regimens for all metastatic RCC patients, regardless of their prognostic risk score. Nevertheless, some inquiries have arisen within the medical community, as metastatic RCC patients with favorable risk scores who received ICIs and TKIs in combination showed no statistically significant advantage in overall survival compared to those treated with sunitinib alone. Considering these concerns, this review aims to elucidate the rationale behind TKI and ICI combination therapies, provide a summary of current first-line metastatic RCC combinations approved for use, with a focus on favorable-risk patients, and outline present challenges and future perspectives in this context.