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

The treatment of renal cell carcinoma (RCC), a malignancy that is typically chemoresistant, has drastically evolved with the introduction of vascular endothelial growth factor receptor tyrosine kinase inhibitors (VEGFR TKIs) and immune checkpoint inhibitors (ICIs). The introduction of ICI-based regimens has significantly improved outcomes for patients with metastatic RCC. Currently, first-line therapy for patients with metastatic RCC involves multiple ICI-based regimens, either dual ICIs (with anti-cytotoxic T-lymphocyte-associated protein 4 (anti-CTLA- 4) and anti-programmed cell death- 1 (PD- 1) therapies) or anti-PD- 1 therapy in combination with VEGFR TKIs. Despite improving patient outcomes with ICI-based regimens, durable responses remain uncommon, highlighting the need for innovative treatment strategies. In this review, we highlight the current standard of care ICI-based regimens followed by ongoing clinical trials with novel combinations of existing FDA-approved agents and targets. We also discuss novel immunotherapies currently in clinical trials, which aim to improve antitumor T cell immunity either by improving T cell activation or T cell navigation to the tumor microenvironment. The incorporation of these novel therapies offers the potential to improve RCC patient outcomes, particularly by enhancing the durability of treatment responses.

To validate multiple prognostic models in metastatic renal cell carcinoma patients who received second-line axitinib following first-line nivolumab plus ipilimumab therapy.

Five prognostic models (ACL, albumin, C-reactive protein, and lactate dehydrogenase; IMDC, International Metastatic Renal Cell Carcinoma Database Consortium; MSKCC, Memorial Sloan Kettering Cancer Center; ATP, axitinib treatment prediction; JMRC, Japanese metastatic renal cancer) to predict overall survival (OS) were validated and compared using data from 86 metastatic renal cell carcinoma patients who received second-line axitinib therapy following first-line nivolumab plus ipilimumab therapy at 34 hospitals affiliated with the Japan Urologic Oncology Group.

The Karnofsky performance status, time from initial diagnosis to first-line therapy, and hemoglobin, platelet, albumin, and C-reactive protein levels correlated with OS in univariate Cox regression analyses. Among these factors, only albumin had a significant impact on OS in the multivariate analysis. The integrated area under the curve (AUC) of the ACL, IMDC, MSKCC, ATP, and JMRC models were 0.78, 0.76, 0.76, 0.69, and 0.70, respectively. The ACL model showed a higher value than the others in the time-dependent AUC.

The accuracy of the five prognostic models (ACL, IMDC, MSKCC, ATP, and JMRC) created in the pre-immuno-oncology (IO) treatment cohort was maintained in the second-line axitinib group after nivolumab plus ipilimumab therapy. The ACL model demonstrated moderate accuracy in predicting OS with the fewest number of clinical variables.

Kidney cancer is a commonly diagnosed cancer in adults, and clear cell renal cell carcinoma (ccRCC) is the most common histological subtype. Immune checkpoint inhibitors have revolutionized care for patients with ccRCC, either as adjuvant therapy or combined with other agents in advanced disease. However, biomarkers to predict therapeutic benefits are lacking. Here, we explore biomarkers that predict therapeutic response in other tumor types and discuss the reasons for their ineffectiveness in ccRCC. We also review emerging predictive and prognostic biomarkers to prioritize in ccRCC, including gene expression signatures.

In CLEAR, lenvatinib + pembrolizumab (L + P) significantly improved efficacy versus sunitinib in first-line treatment of patients with advanced renal cell carcinoma (aRCC). We report results from CLEAR biomarker analyses.

Programmed death-ligand 1 (PD-L1) immunohistochemistry (IHC) and next-generation sequencing assays (whole exome sequencing/RNA sequencing) were carried out on archival tumor specimens. For IHC-derived/RNA sequencing analyses, a continuous analysis was carried out adjusting by Karnofsky performance status (KPS) score for: PD-L1 combined positive score (CPS) versus best overall response (BOR)/progression-free survival (PFS); and each gene signature score [T-cell inflamed gene expression profile (TcellinfGEP)/non-TcellinfGEP signatures including proliferation and angiogenesis] versus BOR/PFS. Association between mutation status of RCC driver genes and PFS were analyzed for genes for which ≥20 patients per arm had oncogenic alterations. Association of molecular subtypes with outcome was evaluated with baseline KPS adjustments. The set of biomarkers evaluated and statistical significance criteria for PD-L1 CPS, gene signature scores, and molecular subtypes were prespecified.

Within-arm analyses using continuous values showed no association between PD-L1 levels and BOR/PFS for either treatment. PFS hazard ratios between arms were similar regardless of the mutant or wild-type subgroups of RCC driver genes (VHL, PBRM1, SETD2, BAP1, KDM5C). No associations between PFS and gene signature scores were observed for L + P. With sunitinib, high proliferation and MYC signature scores showed shorter PFS; high angiogenesis and microvessel density signature scores showed longer PFS. Six new molecular subtypes were defined. Tumors of patients with favorable/intermediate risk were enriched in angiogenesis and angiogenesis/stromal clusters; those with poor risk were enriched in proliferative and unclassified (low-TcellinfGEP/low-angiogenesis/low-proliferation) clusters. No association between molecular subtypes and PFS for L + P/sunitinib was observed (after adjustment for KPS and gene signatures that were individually associated with PFS).

Improvements in objective response rate and PFS for L + P versus sunitinib in aRCC were observed consistently across a range of biomarker subgroups defined using RCC driver mutations, PD-L1, gene expression signatures, and molecular subtypes.

Immuno-oncology (IO) combination therapies, including IO + IO or IO + vascular endothelial growth factor targeted therapies (VEGF-TT), have become the standard first-line treatment for advanced renal cell carcinoma (RCC). However, the optimal regimen for patients without prior nephrectomy remains unclear.

Data from 99 patients with advanced RCC without nephrectomy, treated with VEGF-TT, IO + IO, or IO + VEGF-TT between May 2008 and May 2024, were retrospectively reviewed and analyzed. Patients were divided into VEGE-TT, IO + IO, and IO + VEGF-TT groups based on their first-line treatment, and survival and tumor response were compared.

All patients included in this study were categorized as either intermediate or poor risk according to the International Metastatic RCC Database Consortium risk classification. Among the 99 included patients, 41 initiated first-line therapy with VEGF-TT, 36 with IO + IO, and 22 with IO + VEGF-TT. The objective response rates were 17.5% for VEGF-TT, 38.9% for IO + IO, and 61.9% for IO + VEGF-TT. Notably, the IO + VEGF-TT group showed the greatest shrinkage of target kidney lesions (p = 0.0042). In multivariate analyses, bone metastasis (hazard ratio (HR) = 1.812, 95% confidence interval (CI) 1.017-3.228, p = 0.0436) and the first-line regimen (VEGF-TT vs IO + VEGF-TT: HR = 0.129, 95% CI 0.045-0.369, p = 0.0001) were independent prognostic factors for progression-free survival. The first-line regimen (VEGF-TT vs IO + VEGF-TT: HR = 0.303, 95% CI 0.104-0.879, p = 0.0279) independently affected overall survival.

IO combination therapy, especially IO + VEGF-TT, has demonstrated a higher anti-tumor response in patients with advanced RCC without nephrectomy and may also be highly effective against primary renal tumors. Therefore, further studies are needed to improve patient survival and validate efficacy of IO combination therapy.

Neuroendocrine tumors originating in the kidney are rare, and standard treatments are not established.

An 80-years-old man was referred to our hospital with renal dysfunction and a left renal mass. Based on CT and bone scintigraphy results, he was diagnosed as having a large left renal tumor with a thrombus in the inferior vena cava, harboring lymph node, liver, lung, and left iliac bone metastasis. The renal biopsy indicated a large-cell neuroendocrine carcinoma. Treatment with nivolumab + ipilimumab was introduced. The local and metastatic tumors had shrunk. Subsequently, treatment with nivolumab has remained effective for >2 years.

This case demonstrates the efficacy of treatment with the immune-checkpoint inhibitors against large-cell neuroendocrine carcinoma of the kidney.

Combination systemic therapies (CSTs) of immuno-oncologic (IO) and VEGF-inhibiting agents (VEGFi) have become the standard of care for management of metastatic clear cell renal cell carcinoma (m-ccRCC). However, treatment outcomes vary between patients, with no established biomarkers to determine optimal CST regimens (IO/IO or IO/VEGFi). Prostate Specific Membrane Antigen (PSMA), encoded by the FOLH1 gene, is a marker of tumor neovasculature in ccRCC, the downstream target of VEGFi. We evaluated the relation between FOLH1 expression and angiogenesis, as well as clinical outcomes, in 5 m-ccRCC ST trials.

using Spearman's rank correlation (SPRC) test, we assessed the correlation between FOLH1 expression and gene expression signature (GES) scores corresponding to angiogenic and immunologic features of the tumor microenvironment (TME) of m-ccRCC in our trial cohorts. Using Cox proportional hazard regression (Cox-PHR), we assessed the association between FOLH1 expression level, summarized by within-study quantiles (qFOLH1), and progression-free and overall survival (PFS, OS).

Increased FOLH1 expression was significantly associated with higher TME angiogenesis GES scores (SPRC +0.5, P < 0.001), but did not consistently correlate with immune feature GES scores. Meta-analysis of PFS in the sunitinib TKI arm of trial cohorts showed an overall positive association with qFOLH1 (HR = 0.89; 95% CI = 0.85-0.94, P < 0.0001). qFOLH1 was not significantly associated with OS in the sunitinib arms of the two trials with OS data (COMPARZ, HR 0.87, 95% CI 0.71-1.07, P = 0.17; and Checkmate-214, HR 0.89, 95% CI 0.67-1.17, P = 0.70).

PSMA-encoding FOLH1 gene expression correlates with neoangiogenesis and predicts PFS in m-ccRCC patients treated with sunitinib TKI, suggesting that PSMA PET could be explored as a noninvasive biomarker for guiding CST choice (IO/IO or IO/VEGFi) as well as prediction of treatment response to VEGFi in m-ccRCC patients.

The purpose of this study is to determine the utility of the CANLPH score as a predictive biomarker for patients with advanced and metastatic renal cell carcinoma (a/mRCC). By validating its prognostic value, this study aims to contribute to more personalized treatment strategies for a/mRCC.

In a multicenter retrospective study by the JK-FOOT consortium, we analyzed data from 309 a/mRCC patients undergoing ICI-based therapy. The CANLPH score-a composite marker of C-reactive protein to albumin ratio (CAR), neutrophil to lymphocyte ratio (NLR), and platelet to hemoglobin ratio (PHR)-for its prognostic accuracy in predicting cancer-specific survival (CSS). Advanced statistical methods, including receiver operating characteristic (ROC) curve analysis, Cox proportional-hazard regression, and Harrell's concordance index (C-index), were employed to assess its predictive capacity against established factors.

The median follow-up period was 17 months, revealing two-year and five-year overall survival rates of 76.8% and 62.4%, respectively, with CSS rates at 78.3% and 66.2%. The CANLPH score well stratified survival outcomes of ICI-based treatment for RCC patients (HR 5.71; P < 0.0001). C-index analysis demonstrated that the CANLPH score had the highest predictive potency for CSS among models, including IMDC score. Multivariate analysis confirmed the CANLPH score (HR, 5.59; P = 0.0007) and Karnofsky performance status (HR, 2.59; P = 0.0032) as independent prognostic factors for CSS.

The CANLPH score emerges as a critical tool in the a/mRCC therapeutic landscape, enabling precise prediction of patient outcomes with ICI-based therapies. Limitations include the retrospective design and the single national cohort. Prospective validation studies are warranted.

Immuno-oncology (IO) therapies have become integral to renal cell carcinoma (RCC) management, RCC remains a complex malignancy with diverse clinical behaviors and a heterogeneous tumor microenvironment, highlighting the need for predictive biomarkers to optimize therapy.

This review synthesizes recent findings from clinical trials, translational studies, and molecular analyses to provide an updated perspective on biomarker research for IO therapies in RCC. A literature search was conducted using PubMed, Embase, and Web of Science for articles published between January 2010 and November 2024.

IO combination therapies have demonstrated significant improvements in progressionfree survival and overall survival compared with sunitinib. However, treatment outcomes vary according to the IMDC risk groups, metastatic sites, and histological subtypes, such as sarcomatoid differentiation. Advances in molecular biology have elucidated the roles of genetic alterations and immune phenotypes in modulating IO efficacy. Emerging biomarkers, including tertiary lymphoid structures, human endogenous retroviruses, and the gut microbiome, show promise but require further validation. Addressing challenges such as intratumoral heterogeneity and dynamic immune responses will be key to identifying actionable biomarkers. Continued integration of clinical and molecular insights is essential for improving patient selection and outcomes in RCC treated with IO therapies.

Immune checkpoint inhibitors can lead to 'exceptional', durable responses in a subset of persons. However, the molecular basis of exceptional response (ER) to immunotherapy in metastatic clear cell renal cell carcinoma (mccRCC) has not been well characterized. Here we analyzed pretherapy genomic and transcriptomic data in treatment-naive persons with mccRCC treated with standard-of-care immunotherapies: (1) combination of programmed cell death protein and ligand 1 (PD1/PDL1) and cytotoxic T lymphocyte-associated protein 4 inhibitors (IO/IO) or (2) combination of PD1/PDL1 and vascular endothelial growth factor (VEGF) receptor inhibitors (IO/VEGF). In the IO/IO cohort, clonal neoantigen load was significantly higher in persons with ER. In the IO/VEGF cohort, ER participants displayed strong enrichment of B cell receptor signaling-related pathways, tertiary lymphoid structure (TLS) signatures and evidence of increased metabolic activity. Our results suggest that ER may be related to clonal neoantigen-driven cytotoxic T cell responses and TLS formation in tumor microenvironments. Therapeutic combinations that elicit both T cell-directed and B cell-directed antitumor immunity may be important to achieve exceptional benefit to IO-based treatment in ccRCC.

Since multiple front-line immune checkpoint inhibitor-based (ICI-based) combinations are approved for metastatic renal cell carcinoma, biomarkers predicting for ICI responses are needed past clinical prognostication scores and transcriptome gene expression profiling. Circulating markers represent opportunities to assess baseline and dynamic changes in immune cell frequency and cytokine levels while on treatment. We conducted an exploratory prospective correlative study of 33 patients with metastatic clear cell renal cell carcinoma undergoing treatment with ICIs and correlated changes in circulating immune cell subsets and cytokines with clinical responses to treatment. Cell frequencies and cytokine levels were compared between responders and nonresponders using unpaired parametric t tests, using prespecified alpha level of significance of 0.05. Classical monocyte subsets (CD14+CD16-), as well as 7 cytokines (IL-12/23 p40, macrophage inflammatory protein-1a, macrophage inflammatory protein-1b, vascular cell adhesion molecule-1, intercellular adhesion molecule-1, IL-8, and TNF-α) were higher at baseline for responding versus nonresponding patients. Dynamic changes in thymus- and activation-regulated chemokine (TARC), placental growth factor (PlGF), and vascular endothelial growth factor (VEGF) also correlated with patients with ICI response. In summary, macrophage-activating agents were observed to be important in ICI response and may highlight the importance of the innate immune response in ICI responses.

The first-line therapy of metastatic renal cell carcinoma (mRCC) has revolutionized with the approval of immune checkpoint inhibitors (ICIs) in combination with or without tyrosine kinase inhibitors (TKIs). The choice among the many different immuno-combinations (ICI-ICI or ICI-TKI) is challenging due to the lack of predictive factors. The different shapes of the Kaplan-Meier survival curves (e.g. "banana-shaped curves") have raised many questions on the long-term survival benefit. Here, we analyzed the factors that could have impacted the different long-term survival, including the prognostic factors distribution (IMDC score), histological factors (sarcomatoid features, PD-L1 expression), and treatment characteristics (mechanism of action, duration, discontinuation rate). This overview highlights the factors that should be considered in the first-line setting for the patients' therapeutic choice and prognostic assessment. They are also fundamental parameters to examined for head-to-head studies and real-life, large-scale studies.

The necessity of platinum-doublet chemotherapy in first-line immunotherapy for non-squamous non-small cell lung cancer (nsqNSCLC) with programmed death-ligand 1 (PD-L1) expression on less than 50% of tumor cells remains poorly investigated. Biomarkers predicting this necessity can guide chemotherapy-free treatment to minimize unnecessary toxicity.

Treated with immune checkpoint inhibitor monotherapy (ICI-mono), chemotherapy, or combination (ICI-chemo), 790 low PD-L1-expressing nsqNSCLCs (in-house: n=83; public: n=707) were analyzed for development and validation of the interaction score for additional chemotherapy (ISAC). Transcriptomic (public, n=11) and multiplex immunofluorescence data (in-house, n=100) were analyzed to evaluate the immune microenvironment.

ICI-chemo, compared with ICI-mono, tended to prolong progression-free survival (PFS; HR=0.72, p=0.004) and overall survival (OS; HR=0.77, p=0.071) as first-line therapy in low PD-L1-expressing nsqNSCLCs. The added value of chemotherapy was observed in the ISAC-low subgroup (PFS: HR=0.48, p<0.001; OS: HR=0.53, p=0.001) rather than the ISAC-high subgroup (PFS: HR=1.08, p=0.65; OS: HR=1.14, p=0.56). This predictive utility was independent of tumor mutational burden and PD-L1 expression, indicated by subgroup and multivariable analyses. A high ISAC was associated with adaptive immune resistance reflected by more proinflammatory (eg, CD8+ T cells and M1 macrophages) rather than anti-inflammatory tumor-infiltrating immune cells (eg, M2 macrophages) and high expression of immune checkpoints except for PD-L1 (eg, programmed cell death protein-1).

A high ISAC was identified as a significant predictor for virtually no added value of platinum-doublet chemotherapy for first-line ICI treatment in low PD-L1-expressing nsqNSCLC. Our findings may help refine personalized therapeutic strategies for nsqNSCLC, thereby improving efficacy and reducing undue toxicity.

von Hippel-Lindau (VHL) harbors the highest mutational frequency in clear cell renal cell carcinoma (ccRCC). Although VHL mutational subtypes exert diverse impacts on the functionality of the VHL protein, the clinical significance of VHL mutational heterogeneity remains largely obscure.

This study included a total of 1331 patients with ccRCC from localized data sets, including our localized Zhongshan Hospital (ZSHS) cohort (n=1270) and Zhongshan immune checkpoint blockade cohort (n=61), as well as 525 patients with ccRCC from two publicly available data sets with matched clinical annotation and multidimensional data. According to the putative biological effect, we subclassified VHL mutation into VHL Trunc and VHL Miss. The association of VHL status with clinical outcomes, genomic, oncogenic and immunologic characteristics was further depicted.

VHL Miss ccRCC was associated with reduced survival in the localized ZSHS and The Cancer Genome Atlas cohorts. Clinical benefit from immunotherapy was observed in VHL Miss patients in all immunotherapy cohorts. VHL Miss ccRCC exhibited hyper-activated cell cycle and nuclear factor kappa B (NF-κB) instead of canonical hypoxia inducible factor pathways, which might contribute to its proliferative morphology. Meanwhile, VHL Miss ccRCC featured an inflamed microenvironment with enriched tertiary lymphoid structures.

VHL Miss mutations delineate an aggressive ccRCC subtype with distinct clinical outcomes, likely attributed to its specific oncogenic, morphologic and immunologic features.

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.

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.

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.

Immune checkpoint inhibitors (ICI)-based combinations have become the standard first-line treatment for advanced clear cell renal cell carcinoma (ccRCC). Despite significant improvements in survival and the achievement of sustained long-term responses, a subset of patients remains refractory to ICI, and most will eventually develop resistance. Thus, identifying predictive biomarkers for ICI efficacy and resistance is essential for optimizing therapeutic strategies. Up to now, tissue-based biomarkers have not been successful as predictive biomarkers in RCC. Circulating blood-based biomarkers offer a promising alternative. These biomarkers, including circulating immune cells, soluble factors, tumor-derived markers, and those based on metabolomics, are less invasive, offer reproducibility over time, and provide a comprehensive assessment of tumor biology and patient immune status, as well as allow dynamic monitoring during treatment. This review aims to evaluate the current evidence on the different candidate circulating biomarkers being investigated for their potential to predict ICI efficacy in RCC patients.

The treatment landscape for metastatic renal cell carcinoma (RCC) has advanced significantly with first-line immunotargeted therapy combinations. However, no statistically significant differences were observed in the cohort of patients with favorable risk and some oncologists continue to use sunitinib in these patients. PD-L1 expression has emerged as a negative prognostic factor in RCC, particularly in sunitinib-treated patients, where higher PD-L1 levels are linked to worse outcomes. This article discusses the potential risks associated with the use of sunitinib in PD-L1-positive patients.

Current tobacco smoking is independently associated with decreased overall survival (OS) among patients with metastatic renal cell carcinoma (mRCC) treated with targeted monotherapy (VEGF-TKI). Herein, we assess the influence of smoking status on the outcomes of patients with mRCC treated with the current first-line standard of care of immune checkpoint inhibitor (ICI)-based regimens.

Real-world data from the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) were collected retrospectively. Patients with mRCC who received either dual ICI therapy or ICI with VEGF-TKI in the first-line setting were included and were categorized as current, former, or nonsmokers. The primary outcomes were OS, time to treatment failure (TTF), and objective response rate (ORR). OS and TTF were compared between groups using the log-rank test and multivariable Cox regression models. ORR was assessed between the 3 groups using a multivariable logistic regression model.

A total of 989 eligible patients were included in the analysis, with 438 (44.3%) nonsmokers, 415 (42%) former, and 136 (13.7%) current smokers. Former smokers were older and included more males, while other baseline characteristics were comparable between groups. Median follow-up for OS was 21.2 months. In the univariate analysis, a significant difference between groups was observed for OS (P = .027) but not for TTF (P = .9), with current smokers having the worse 2-year OS rate (62.8% vs 70.8% and 73.1% in never and former smokers, respectively). After adjusting for potential confounders, no significant differences in OS or TTF were observed among the 3 groups. However, former smokers demonstrated a higher ORR compared to never smokers (OR 1.45, P = .02).

Smoking status does not appear to independently influence the clinical outcomes to first-line ICI-based regimens in patients with mRCC. Nonetheless, patient counseling on tobacco cessation remains a crucial aspect of managing patients with mRCC, as it significantly reduces all-cause mortality.

Combination therapy of nivolumab and ipilimumab (NIVO + IPI) for metastatic renal cell carcinoma (mRCC) has shown efficacy, but approximately 20% of patients experience disease progression in the early stages of treatment. No useful biomarkers have been reported to date. Therefore, it is desirable to identify biomarkers to predict treatment responses in advance. We examined the tumor microenvironment (TME)-related gene expression in mRCC patients treated with NIVO + IPI, between the response and non-response groups, using tumor tissues, before administering NIVO + IPI. In TME-related genes, TNFSF9 expression was identified as a candidate for the predictive biomarker. Its expression discriminated between the response and non-response groups with 88.89% sensitivity and 87.50% specificity (AUC = 0.9444). We further analyzed the roles of TNFSF9 in TME using bioinformatics from The Cancer Genome Atlas (TCGA) cohort. An adaptive immune response was activated in the TNFSF9-high-expression tumors. Indeed, T follicular helper cells, plasma B cells, and tumor-infiltrating CD8+ T cells were increased in the tumors, which indicates the promotion of humoral immunity due to enhanced T-B interactions. However, as the number of regulatory T cells (Treg) increased in the tumors, the percentage of dysfunctional T cells also increased. This suggests that not only PD-1 but also CTLA-4 inhibition may have suppressed Treg activation and improved the therapeutic effect in the TNFSF9 high-expression tumors. Therefore, TNFSF9 may predict the therapeutic efficacy of NIVO + IPI for mRCC and allow more appropriate patient selection.

Papillary renal cell carcinoma (pRCC) is a rare and aggressive cancer with no specifically established therapeutic strategy in the metastatic setting. Combinations of tyrosine kinase and immune checkpoint inhibitors (ICI) are a promising option. We aimed to study the immune landscape of metastatic pRCC, and its interactions with angiogenesis pathways, to search for potential therapeutic targets.

The expression of immune markers (PD-L1, PD-1, PD-L2, LAG-3) and angiogenic pathways (CAIX, c-MET), was analyzed by immunohistochemistry on 68 metastatic pRCC retrieved from a retrospective multicenter GETUG cohort. Our primary endpoint was to estimate the prevalence of PD-L1 expression and its prognostic impact in metastatic pRCC. Secondary endpoints included the evaluation of other immune markers (PD-1, PD-L2, and LAG-3) and their association with PD-L1. We also assessed angiogenic markers and their association with PD-L1.

Overall, 27.9 % of tumors were PD-L1 positive. PD-L2 was more frequently expressed (45.6 %), PD-1 and LAG-3 were positive in 17.6 % and 19.1 % respectively. None of these markers was correlated with PD-L1 expression. 66 % (45/68) expressed at least one immune marker, and 43 % (29/68) were "double-positive", as they expressed both immune and angiogenic markers. OS was significantly shorter for patients with PD-L1 positive pRCC. A multivariate analysis confirmed a significant association between PD-L1 expression and shorter overall survival (HR = 4.0, p = 0.01).

These results reinforce clinical data on the expected benefit of ICI in metastatic pRCC treatment, as PD-L1 expression is a factor of poor prognosis in this multicenter cohort.

Peritoneal metastases (PM) have been reported in approximately 1% of patients with metastatic Renal Cell Carcinoma (mRCC). Outcome data are limited due to the rarity of this metastatic site. Therefore, the aim of our study is to describe renal cell carcinoma (RCC) patients with PM treated as per clinical practice.

Baseline characteristics and outcome data of patients with PM from RCC were retrospectively collected from 18 Italian oncological referral centers adhering to the Meet-Uro group, from January 2016 to January 2023.

We collect 81 RCC patients with PM. 78/81 received systemic treatment, 3/81 only best supportive care. First line treatment included tyrosine-kinase inhibitors (TKI) (46/78), ImmuneOncology (IO)-TKI (26/78) and IO-IO (6/78), with different Objective Response Rate (ORR) (43.4% in TKI monotherapy group vs 50% in IO-TKI group, respectively) and Disease Control Rate (DCR) (60.8% in TKI treated patients vs. 76.9% in IO-TKI treated patients). Median PFS was 6.4 months (95%CI 4.18-14.8) in patients treated with TKI monotherapy vs 23.7 months (95%CI 11.1-NR) in patients treated with IO-TKI (p < 0.015). The median OS (mOS) was 22.7 months (95%CI 13.32 - 64.7) in the TKI monotherapy group vs 34.5 mo (95%CI NR-NR) in the IO-TKI group with 53.8% of patients alive at 1 years in the latter group, (p < 0.16). Primary refractory patients were 36.9% for TKI and 15.3% for IO-TKI. According to International Metastatic renal cell carcinoma Database Consortium (IMDC) score, mPFS and mOS were consistent among risk categories. Median PFS was 36.6 months (95%CI 10.9-NR) for good risk patients compared to 10 months (95%CI 7.5-29.8) for intermediate risk and 2.96 months (95%CI 2.43-11.28) for poor risk population (p < 0.0005) whereas mOS was NR (95%CI 28.65-NR) for good risk patients compared to 35.3 months (95%CI 24.6-NA) and 12.4 months (95%CI 3.52-NR) for intermediate and poor risk population, respectively, (p < 0.0002). Only 34/78 (43.5%) received a second line treatment that was TKI (ORR 8.3% and DCR 41.6%) or IO (ORR 18.1% and DCR 40.9%).

We report one of the largest case series regarding PM from RCC. Characteristics of patients suggest a more aggressive behavior of PM from mRCC. Outcome data suggest that TKI-IO as first line treatment, and TKI as second line, confirm their activity for these patients with dismal prognosis.

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.

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.

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).

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.

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 represents a significant and essential component of renal carcinoma therapy (RCC), but the selection of an optimal regimen for an individual patient remains unclear. Despite significant improvements in therapeutic options for RCC, predictive biomarkers for immunotherapeutic agents remain elusive. Neopterin is a biomarker of cell-mediated immune response, with concentrations increased in different disorders, including cancer. High neopterin levels herald, in general, a poor prognosis.

This review briefly overviews the contemporary clinical data on biomarkers in metastatic RCC therapy, focusing on neopterin.

Elevated neopterin levels have been observed in tumors of different primary locations. Research indicates that neopterin may serve as a potential biomarker for assessing the inflammatory status associated with certain cancers. However, it is necessary to interpret neopterin levels in the context of a comprehensive clinical evaluation, as elevated neopterin alone is not specific to cancer and can be influenced by other factors, including comorbid conditions. Neopterin has also been identified as a prognostic biomarker. An increasing neopterin level in serum and urine is associated with advanced cancer, but the role as a potential predictor of response to immunotherapy has yet to be established. A reliable biomarker for optimal therapy selection in metastatic RCC is still putative.

In the past decade, immune checkpoint inhibitors (ICI) have been approved for treatment of genitourinary malignancies and have revolutionized the treatment landscape of these tumors. However, despite the remarkable success of these therapies in some GU malignancies, many patients' tumors do not respond to these therapies, and others may experience significant side effects, such as immune-related adverse events (iRAEs). Accordingly, biomarkers and improved prognostic tools are critically needed to help predict which patients will respond to ICI, predict and mitigate risk of developing immune-related adverse events, and inform personalized choice of therapy for each patient. Ongoing clinical and preclinical studies continue to provide an increasingly robust understanding of the mechanisms of the response to immunotherapy, which continue to inform biomarker development and validation. Herein, we provide a comprehensive review of biomarkers of the response to immunotherapy in GU tumors and their role in selection of therapy and disease monitoring.

The impact of tumor microenvironment (TME) in influencing clinical response to first-line immune checkpoint inhibitor (ICI)-based treatment in advanced renal cell carcinoma (RCC) is unclear. Immunohistochemistry (IHC) could identify biomarkers related to immune checkpoints and immune cell population. This study retrospectively characterized TME from 28 RCC patients who received first line ICI-based therapy through IHC assessment of selected markers and explored preliminary evidence about their possible correlation with treatment efficacy. We found a significantly higher count of CD80+, CD163+ cells and their ratio in RCC with clear cell component compared to those without clear cell features; additionally, patients with metastatic disease at diagnosis were associated with higher expression of CD163+ cells, while higher count of CD4+ cells and CD4+/CD8+ ratio were found in RCC with sarcomatoid features. Patients achieving partial or complete response were associated with lower expression of CD163+ cells (median 28 vs 47; p = 0.049). Furthermore, lower expression of CD163+ was associated with better PFS (median PFS 20.0 vs 4.7 months; HR 0.22 p = 0.011) and OS (median OS NR vs 14.4 months; HR 0.28 p = 0.036). A longer OS was reported in PD-L1 CPS negative patients (median OS NR vs 11.8 months; HR 0.20 p = 0.024). High infiltration of CD163+ macrophages, who typically present "anti-inflammatory" M2-like phenotype, could identify a subgroup of patients with poor survival after receiving first-line ICI.

Molecular profiling of clear cell renal cell carcinoma (ccRCC) tumors of patients in a clinical trial has identified distinct transcriptomic signatures with predictive value, yet data in non-clear cell variants (nccRCC) are lacking. We examined the transcriptional profiles of RCC tumors representing key molecular pathways, from a multi-institutional, real-world patient cohort, including ccRCC and centrally reviewed nccRCC samples. ccRCC had increased angiogenesis signature scores compared with the heterogeneous group of nccRCC tumors, while cell cycle, fatty acid oxidation/AMPK signaling, and fatty acid synthesis/pentose phosphate signature scores were increased in one or more nccRCC subtypes. Among both ccRCC and nccRCC tumors, T effector scores statistically correlated with increased immune cell infiltration and were more commonly associated with immunotherapy-related markers (PD-L1+/TMBhi/MSIhi). In conclusion, this study provides evidence of differential gene transcriptional profiles among ccRCC versus nccRCC tumors, providing insights for optimizing personalized and histology-specific therapeutic strategies for patients with advanced RCC.