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To assess the safety profile of antegrade mitomycin gel instillation through a percutaneous nephrostomy tube (PCNT) for upper tract urothelial carcinoma (UTUC) with the aim of decreasing morbidity associated with therapy.Patients undergoing antegrade administration of mitomycin gel via PCNT were retrospectively included for analysis from four tertiary referral centres between 2020 and 2022. The primary outcome was safety profile, as graded by Common Terminology Criteria for Adverse Events (v5.0). Post-therapy disease burden was assessed by primary disease evaluation (PDE) via ureteroscopy.Thirty-two patients received at least one dose of mitomycin gel via PCNT for UTUC, 29 of whom completed induction and underwent PDE. Thirteen patients (41%) had residual tumour present prior to induction therapy. At a median of 15.0 months following first dose of induction therapy, ureteric stenosis occurred in three patients (9%), all of whom were treated without later recurrence or chronic stenosis. Other adverse events included fatigue (27%), flank pain (19%), urinary tract infection (12%), sepsis (8%) and haematuria (8%). No patients had impaired renal function during follow-up and there were no treatment-related deaths. Seventeen patients (59%) had no evidence of disease at PDE and have not experienced recurrence at a median follow-up of 13.0 months post induction.Administration of mitomycin gel via a PCNT offers a low rate of ureteric stenosis, demonstrates a favourable safety profile, and is administered without general anaesthesia.

Chylous ascites (CA) is an uncommon complication that occurs from traumatic disruption of lymphatic channels after retroperitoneal surgery. The purpose of this study was to generate an evidence-based management strategy for CA by reviewing the current literature and available treatment modalities.A MEDLINE® literature review was performed for "chylous ascites." Individual patient data were extracted from case series and reports to create an efficacy analysis. Treatment modality, drain output, time to escalation of care and time to resolution were recorded. The efficacy analysis was utilized to generate a data-driven treatment algorithm.The literature review yielded 1,953 articles, from which 146 studies contributed data for 523 patients. The efficacy analysis included 245 patients, 168 (69%) of whom were managed successfully with conservative management (CM), at a median time to resolution of 11 days. Forty-eight patients underwent lymphangiography±embolization after CM, with a success rate of 85%. Thirty-one (12%) patients underwent surgical exploration. When treating CA, the patients who underwent stepwise management with CM followed by lymphangiography if CM failed experienced a resolution rate of 96.7%. An evidence-based treatment algorithm was created to guide treatment selection and duration of therapy before escalating to additional forms of therapy.In this report, we describe the largest conglomeration of iatrogenic CA cases from a literature review (523 cases) and efficacy analysis (245 cases), and created the first evidence-based treatment algorithm for this condition. Treatment success is substantial when using a stepwise combination of CM followed by lymphangiography±embolization.

It is poorly understood how the tumor immune microenvironment influences disease recurrence in localized clear-cell renal cell carcinoma (ccRCC). Here we performed whole-transcriptomic profiling of 236 tumors from patients assigned to the placebo-only arm of a randomized, adjuvant clinical trial for high-risk localized ccRCC. Unbiased pathway analysis identified myeloid-derived IL6 as a key mediator. Furthermore, a novel myeloid gene signature strongly correlated with disease recurrence and overall survival on uni- and multivariate analyses and is linked to TP53 inactivation across multiple data sets. Strikingly, effector T-cell gene signatures, infiltration patterns, and exhaustion markers were not associated with disease recurrence. Targeting immunosuppressive myeloid inflammation with an adenosine A2A receptor antagonist in a novel, immunocompetent, Tp53-inactivated mouse model significantly reduced metastatic development. Our findings suggest that myeloid inflammation promotes disease recurrence in ccRCC and is targetable as well as provide a potential biomarker-based framework for the design of future immuno-oncology trials in ccRCC. Significance: Improved understanding of factors that influence metastatic development in localized ccRCC is greatly needed to aid accurate prediction of disease recurrence, clinical decision-making, and future adjuvant clinical trial design. Our analysis implicates intratumoral myeloid inflammation as a key driver of metastasis in patients and a novel immunocompetent mouse model. This article is highlighted in the In This Issue feature, p. 2221

INTRODUCTION: Immune checkpoint blockade (ICB) is a rapidly emerging field of oncology that has revolutionized the metastatic renal cell carcinoma (mRCC) treatment. Four recent treatment regimens Nivolumab-Ipilimumab, Pembrolizumab-Axitinib, Nivolumab-Cabozantinib, and Pembrolizumab-Lenvatinib—have demonstrated improved clinical endpoints compared to standard of care and are endorsed by NCCN (2021). However, data on patient-reported outcomes (PROs) for patients receiving these regimens are limited. We conducted a comparative assessment of the quality and standardization of PROs endpoints and data reported for these randomized controlled trials (RCTs). PATIENTS AND METHODS: We systematically identified all RCTs evaluating combination ICB for ccRCC. PROs-specific data were abstracted from the final version of 4 RCT protocols, as well as clinical and PROs specific manuscripts published between April 2018 and April 2021. We used 3 previously published guides standardizing PROs research to objectively score the data: i) 24-point PROEAS; ii) 12-point SPIRIT-PRO; and iii) 14-point CONSORT-PRO. RESULTS: The CheckMate 214, KEYNOTE 426, CheckMate 9ER, and CLEAR studies had PROEAS scores of 88% (21/24), 37% (9/24), 83% (20/24), and 16% (4/24), respectively, and SPIRIT-PRO scores of 50% (6/12), 75% (9/12), 66% (8/12), and 41% (5/12) respectively. The CONSORT-PRO scores were 86% (12/14) for CheckMate 214 and 43% (6/14) for CheckMate 9ER, but scores were not available for the CLEAR and KEYNOTE 426 studies because of a lack of sufficient data. The average SPIRIT-PRO score across the 4 RCTs was 58%, indicating a reasonable adoption of PROs research in data management and analysis. The CheckMate 214 trial had the longest follow-up and most comprehensive published PROs data. CONCLUSION: Our analysis identified the limitations of current PROs data in combination ICB approved for mRCC. This analysis will enable clinicians to better interpret the current PROs results and emphasize the importance of better incorporation of PROs endpoints in future mRCC trial design.

It is poorly understood how the tumor immune microenvironment influences disease recurrence in localized clear-cell renal cell carcinoma (ccRCC). Here we performed whole-transcriptomic profiling of 236 tumors from patients assigned to the placebo-only arm of a randomized, adjuvant clinical trial for high-risk localized ccRCC. Unbiased pathway analysis identified myeloid-derived IL6 as a key mediator. Furthermore, a novel myeloid gene signature strongly correlated with disease recurrence and overall survival on uni- and multivariate analyses and is linked to TP53 inactivation across multiple data sets. Strikingly, effector T-cell gene signatures, infiltration patterns, and exhaustion markers were not associated with disease recurrence. Targeting immunosuppressive myeloid inflammation with an adenosine A2A receptor antagonist in a novel, immunocompetent, Tp53-inactivated mouse model significantly reduced metastatic development. Our findings suggest that myeloid inflammation promotes disease recurrence in ccRCC and is targetable as well as provide a potential biomarker-based framework for the design of future immuno-oncology trials in ccRCC.Significance:Improved understanding of factors that influence metastatic development in localized ccRCC is greatly needed to aid accurate prediction of disease recurrence, clinical decision-making, and future adjuvant clinical trial design. Our analysis implicates intratumoral myeloid inflammation as a key driver of metastasis in patients and a novel immunocompetent mouse model.This article is highlighted in the In This Issue feature, p. 2221

Supplementary Figure from A Targetable Myeloid Inflammatory State Governs Disease Recurrence in Clear-Cell Renal Cell Carcinoma

Supplementary Data from Quantification of T- and B-cell Immune Receptor Distribution Diversity Characterizes Immune Cell Infiltration and Lymphocyte Heterogeneity in Clear Cell Renal Cell Carcinoma

Immune-modulating systemic therapies are often used to treat advanced cancer such as metastatic clear cell renal cell carcinoma (ccRCC). Used alone, sequence-based biomarkers neither accurately capture patient dynamics nor the tumor immune microenvironment. To better understand the tumor ecology of this immune microenvironment, we quantified tumor infiltration across three distinct ccRCC patient tumor cohorts using complementarity determining region-3 (CDR3) sequence recovery counts in tumor-infiltrating lymphocytes and a generalized diversity index (GDI) for CDR3 sequence distributions. GDI can be understood as a curve over a continuum of diversity scales that allows sensitive characterization of distributions to capture sample richness, evenness, and subsampling uncertainty, along with other important metrics that characterize tumor heterogeneity. For example, richness quantified the total unique sequence count, while evenness quantified similarities across sequence frequencies. Significant differences in receptor sequence diversity across gender and race revealed that patients with larger and more clinically aggressive tumors had increased richness of recovered tumoral CDR3 sequences, specifically in those from T-cell receptor alpha and B-cell immunoglobulin lambda light chain. The GDI inflection point (IP) allowed for a novel and robust measure of distribution evenness. High IP values were associated with improved overall survival, suggesting that normal-like sequence distributions lead to better outcomes. These results propose a new quantitative tool that can be used to better characterize patient-specific differences related to immune cell infiltration, and to identify unique characteristics of tumor-infiltrating lymphocyte heterogeneity in ccRCC and other malignancies.Significance:Assessment of tumor-infiltrating T-cell and B-cell diversity in renal cell carcinoma advances the understanding of tumor-immune system interactions, linking tumor immune ecology with tumor burden, aggressiveness, and patient survival.See related commentary by Krishna and Hakimi, p. 764

Patients with muscle invasive bladder cancer (MIBC) of variant histology have a poor prognosis. It is unclear if neoadjuvant chemotherapy prior to radical cystectomy is associated with pathological downstaging or improved overall survival (OS) for patients with variant histology. Our objective was to assess for associations between receipt of neoadjuvant chemotherapy, pathological downstaging and OS for patients with variant histology MIBC.Patients were identified in the National Cancer Database from 2004 to 2017 with MIBC, without metastases, who underwent radical cystectomy. Patients were stratified by histological subgroup, and receipt or nonreceipt of neoadjuvant chemotherapy. Pathological downstaging was defined as pT0N0 or pT ≤1N0, and OS from the time of diagnosis to date of death or censoring at last followup. Multivariable logistic regression analysis determined associations between neoadjuvant chemotherapy and pathological downstaging. Multivariable Cox regression analysis determined associations between neoadjuvant chemotherapy and OS.A total of 31,218 patients were included in the final study population (urothelial carcinoma [UC]: 27,779; sarcomatoid UC: 501; micropapillary UC: 418; squamous cell carcinoma: 1,141; neuroendocrine carcinoma: 629; adenocarcinoma: 750). Neoadjuvant chemotherapy was associated with pathological downstaging to pT0N0 in all histological subgroups (UC: OR 5.1 [4.6-5.6]; sarcomatoid UC: OR 13.8 [5.5-39.0]; micropapillary UC: OR 9.7 [2.8-46.8]; squamous cell carcinoma: OR 7.4 [2.1-24.5]; neuroendocrine: OR 4.7 [2.6-9.2]; adenocarcinoma: OR 23.3 [8.0-74.2]). Neoadjuvant chemotherapy was associated with improved OS for UC (HR 0.8 [0.77-0.84]), sarcomatoid UC (HR 0.64 [0.44-0.91]) and neuroendocrine carcinoma (HR 0.55 [0.43-0.70]).Neoadjuvant chemotherapy was associated with pathological downstaging for all MIBC histological variants, with improved OS for patients with UC, sarcomatoid variant UC and neuroendocrine carcinoma.

Background Preoperative malnourishment has been consistently associated with poor outcomes after radical cystectomy and other major abdominal surgeries. Most enhanced recovery after surgery (ERAS) studies have examined preoperative nutrition and its relationship to outcomes after gastrointestinal surgery. Although numerous studies have demonstrated the benefits of using an ERAS protocol, this study in unique in comparing 2 ERAS protocols, with and without a nutrition component. Methods A formalized preoperative nutrition protocol (PNP) recommending use of preoperative immunonutrition and carbohydrate drink was introduced in June 2018. A total of 78 consecutive patients who drank both beverages were compared with 92 historical controls. Multivariable logistic regression analyses were sequentially performed to determine if preoperative nutrition was associated with binary outcome variables (30-day complication, infectious complication, and readmission within 30 days). Results The preoperative nutrition group and control group were statistically similar in distribution of age, sex, American Society of Anesthesiologists physical status classification, clinical stage, and body mass index. Return of bowel function was found to occur earlier in the preoperative nutrition group than in the control group (3.12 vs 3.74 days; relative risk, 0.82; CI, 0.73-0.93; P = .0029). Complications within 30 days were similar in both groups (63.6% vs 55.4%; P = 0.36). Infectious complications (42.9% vs 37%; P = .53) and readmission within 30 days (22.1% vs 15.2%; P = .34) were also similar in both groups. Conclusions Use of a PNP including immunonutrition and carbohydrate drink may be associated with earlier return of bowel function after radical cystectomy.

BACKGROUND: Accumulating evidence suggests that alternative RNA splicing has an important role in cancer development and progression by driving the expression of a diverse array of RNA and protein isoforms from a handful of genes. However, our understanding of the clinical significance of cancer-specific RNA splicing in renal cell carcinoma (RCC) is limited. OBJECTIVE: To characterize and validate a novel oncogene RNA splicing event discovered in patients with RCC and to correlate expression with clinical outcomes. DESIGN, SETTING, AND PARTICIPANTS: Using DNA and RNA sequencing, we identified a novel epidermal growth factor receptor (EGFR) splicing alteration (EGFR_pr20CTF) in RCC tumor tissue. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: We confirmed the frequency and specificity of the EGFR_pr20CTF variant by analyzing cohorts of patients from our institution (n = 699) and The Cancer Genome Atlas (TCGA; n = 832). Furthermore, we analyzed its expression in tumor tissue and a human kidney cancer cell line using reverse transcriptase-polymerase chain reaction. Variant expression was also correlated with survival and response to systemic therapy. RESULTS AND LIMITATIONS: EGFR_pr20CTF expression was identified in 71.7% (n = 71/99) of patients with RCC in our institutional cohort and in 56.7% (n = 279/492) of patients in the TCGA cohort. EGFR_pr20CTF was found to be specific to clear cell renal cell carcinoma (ccRCC), occurring in

Sarcomatoid differentiation in RCC (sRCC) is associated with a poor prognosis, necessitating more aggressive management than RCC without sarcomatoid components (nsRCC). Since suspected renal cell carcinoma (RCC) tumors are not routinely biopsied for histologic evaluation, there is a clinical need for a non-invasive method to detect sarcomatoid differentiation pre-operatively. We utilized unsupervised self-organizing map (SOM) and supervised Learning Vector Quantizer (LVQ) machine learning to classify RCC tumors on T2-weighted, non-contrast T1-weighted fat-saturated, contrast-enhanced arterial-phase T1-weighted fat-saturated, and contrast-enhanced venous-phase T1-weighted fat-saturated MRI images. The SOM was trained on 8 nsRCC and 8 sRCC tumors, and used to compute Activation Maps for each training, validation (3 nsRCC and 3 sRCC), and test (5 nsRCC and 5 sRCC) tumor. The LVQ classifier was trained and optimized on Activation Maps from the 22 training and validation cohort tumors, and tested on Activation Maps of the 10 unseen test tumors. In this preliminary study, the SOM-LVQ model achieved a hold-out testing accuracy of 70% in the task of identifying sarcomatoid differentiation in RCC on standard multiparameter MRI (mpMRI) images. We have demonstrated a combined SOM-LVQ machine learning approach that is suitable for analysis of limited mpMRI datasets for the task of differential diagnosis.

Approximately 10%‐20% of patients with clinically localized clear cell renal cell carcinoma (ccRCC) at time of surgery will subsequently experience metastatic progression. Although considerable progression was seen in the systemic treatment of metastatic ccRCC in last 20 years, once ccRCC spreads beyond the confines of the kidney, 5‐year survival is less than 10%. Therefore, significant clinical advances are urgently needed to improve overall survival and patient care to manage the growing number of patients with localized ccRCC. We comprehensively evaluated expression of 388 candidate genes related with survival of ccRCC by using TCGA RNAseq (n = 515), Total Cancer Care (TCC) expression array data (n = 298), and a well characterized Moffitt RCC cohort (n = 248). We initially evaluated all 388 genes for association with overall survival using TCGA and TCC data. Eighty‐one genes were selected for further analysis and tested on Moffitt RCC cohort using NanoString expression analysis. Expression of nine genes (AURKA, AURKB, BIRC5, CCNE1, MK167, MMP9, PLOD2, SAA1, and TOP2A) was validated as being associated with poor survival. Survival prognostic models showed that expression of the nine genes and clinical factors predicted the survival in ccRCC patients with AUC value: 0.776, 0.821 and 0.873 for TCGA, TCC and Moffitt data set, respectively. Some of these genes have not been previously implicated in ccRCC survival and thus potentially offer insight into novel therapeutic targets. Future studies are warranted to validate these identified genes, determine their biological mechanisms and evaluate their therapeutic potential in preclinical studies., Our study identified nine genes as prognostic biomarkers of ccRCC survival. Some of these genes have not been previously implicated in ccRCC survival and thus potentially offer insight into novel therapeutic targets.

Purpose Chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) represents 90% of all chronic prostatitis cases and may occur after radiation therapy (RT) for localized prostate cancer. Medical therapy is effective in approximately 50% of cases, with no therapy demonstrating consistent efficacy in refractory cases. Prostatic artery embolization (PAE) is effective in men with lower urinary tract symptoms and benign prostatic hyperplasia. We report clinical improvement after PAE in a case series of men with CP/CPPS after RT. Methods and Materials Nine men (median age 72 years; range, 61-83 years) with CP/CPPS after RT for prostate cancer underwent PAE. Baseline International Prostate Symptom Score was recorded in 5 patients (median 23; range, 4-26), Chronic Prostatitis Symptom Index score in 6 patients (median 22.5; range, 6-34), and quality of life (QoL) score in 8 patients (median 5; range, 2-6). Median baseline prostate volume was 49 cm3 (range, 22-123 cm3). Patients were followed up at 6 and 12 weeks with QoL, International Prostate Symptom Score, and/or Chronic Prostatitis Symptom Index score and magnetic resonance imaging. Results Technical success (ie, bilateral embolization) was achieved in 78% (n = 7) of patients with the other 2 patients having undergone unilateral embolization with no major complications. Clinical success was seen in 89% (n = 8) of patients and QoL improved in 78% (n = 7) during the follow-up period. Conclusion CP/CPPS after RT for localized prostate cancer is a highly morbid condition, with medical therapy successful in only 50% of cases. PAE may be a successful therapy for medically recalcitrant CP/CPPS, and further studies are necessary to understand the best patient selection and scenario for PAE in the setting of CP/CPPS.

BACKGROUND: To determine whether combining brachytherapy with immunotherapy is safe in prostate cancer (PCa) and provides synergistic effects, we performed a Phase I/II trial on the feasibility, safety, and benefit of concurrent delivery of anti-PD-1 (nivolumab) with high-dose-rate (HDR) brachytherapy and androgen deprivation therapy (ADT) in patients with Grade Group 5 (GG5) PCa. METHODS: Eligible patients were aged 18 years or older with diagnosis of GG5 PCa. Patients received ADT, nivolumab every two weeks for four cycles, with two cycles prior to first HDR, and two more cycles prior to second HDR, followed by external beam radiotherapy. The primary endpoint was to determine safety and feasibility. This Phase I/II trial is registered with ClinicalTrials.gov (NCT03543189). RESULTS: Between September 2018 and June 2019, six patients were enrolled for the Phase I safety lead-in with a minimum observation period of 3 months after nivolumab administration. Overall, nivolumab was well tolerated in combination with ADT and HDR treatment. One patient experienced a grade 3 dose-limiting toxicity (elevated Alanine aminotransferase and Aspartate aminotransferase) after the second cycle of nivolumab. Three patients (50%) demonstrated early response with no residual tumor detected in ≥4 of 6 cores on biopsy post-nivolumab (4 cycles) and 1-month post–HDR. Increase in CD8+ and FOXP3+/CD4+ T cells in tissues, and CD4+ effector T cells in peripheral blood were observed in early responders. CONCLUSION: Combination of nivolumab with ADT and HDR is well tolerated and associated with evidence of increased immune infiltration and antitumor activity.

IntroductionIn clear cell renal cell carcinoma (ccRCC), tumor-associated macrophage (TAM) induction of CD8+T cells into a terminally exhausted state has been implicated as a major mechanism of immunotherapy resistance, but a deeper biological understanding is necessary.MethodsPrimary ccRCC tumor samples were obtained from 97 patients between 2004 and 2018. Multiplex immunofluorescence using lymphoid and myeloid markers was performed in seven regions of interest per patient across three predefined zones, and geospatial analysis was performed using Ripley’s K analysis, a methodology adapted from ecology.ResultsClustering of CD163+M2 like TAMs into the stromal compartment at the tumor–stroma interface was associated with worse clinical stage (tumor/CD163+nK(75): stage I/II: 4.4 (IQR −0.5 to 5.1); stage III: 1.4 (IQR −0.3 to 3.5); stage IV: 0.6 (IQR −2.1 to 2.1); p=0.04 between stage I/II and stage IV), and worse overall survival (OS) and cancer-specific survival (CSS) (tumor/CD163+nK(75): median OS–hi=149 months, lo=86 months, false-discovery rate (FDR)-adj. Cox pConclusionsGeospatial clustering of CD163+M2 like TAMs into the stromal compartment at the tumor–stromal interface was associated with poor clinical outcomes and CD8+T cell terminal exhaustion.

Circulating exosomes in the blood are promising tools for biomarker discovery in cancer. Due to their heterogeneity, different isolation methods may enrich distinct exosome cargos generating different omic profiles. In this study, we evaluated the effects of plasma exosome isolation methods on detectable multi-omic profiles in patients with non-small cell lung cancer (NSCLC), castration-resistant prostate cancer (CRPC), and healthy controls, and developed an algorithm to quantify exosome enrichment. Plasma exosomes were isolated from CRPC (n = 10), NSCLC (n = 14), and healthy controls (n = 10) using three different methods: size exclusion chromatography (SEC), lectin binding, and T-cell immunoglobulin domain and mucin domain-containing protein 4 (TIM4) binding. Molecular profiles were determined by mass spectrometry of extracted exosome fractions. Enrichment analysis of uniquely detected molecules was performed for each method with MetaboAnalyst. The exosome enrichment index (EEI) scores methods based on top differential molecules between patient groups. The lipidomic analysis detected 949 lipids using exosomes from SEC, followed by 246 from lectin binding and 226 from TIM4 binding. The detectable metabolites showed SEC identifying 191 while lectin binding and TIM4 binding identified 100 and 107, respectively. When comparing uniquely detected molecules, different methods showed preferential enrichment of different sets of molecules with SEC enriching the greatest diversity. Compared to controls, SEC identified 28 lipids showing significant difference in NSCLC, while only 1 metabolite in NSCLC and 5 metabolites in CRPC were considered statistically significant (FDR < 0.1). Neither lectin-binding- nor TIM4-binding-derived exosome lipids or metabolites demonstrated significant differences between patient groups. We observed the highest EEI from SEC in lipids (NSCLC: 871.33) which was also noted in metabolites. These results support that the size exclusion method of exosome extraction implemented by SBI captures more heterogeneous exosome populations. In contrast, lectin-binding and TIM4-binding methods bind surface glycans or phosphatidylserine moieties of the exosomes. Overall, these findings suggest that specific isolation methods select subpopulations which may significantly impact cancer biomarker discovery.

We performed multiplex immunofluorescence (mIF) using an array of myeloid and lymphoid markers on primary tumor samples from 122 patients with RCC. Regions of interest (ROIs) were selected from three distinct tumor zones: the tumor-core, stroma, and tumor-stroma interface. Digital pathologic imaging analysis was leveraged to quantify the geospatial location and distribution of immune cells within the TIME, and these findings were correlated with a variety of tumor molecular profiles. For patients with ccRCC, as clinical stage increased, immunosuppressive M2-like CD163+ TAMs migrated from the tumor compartment and into the stroma at the tumor-stroma interface and became increasingly co-localized with CD8+ T-cells. Furthermore, high CD163+ TAM clustering into the stromal compartment and high CD8+/CD163+ stromal co-localization were independently associated with worse OS and cancer-specific survival (CSS), while accounting for clinical stage. Overall, this data suggests that the pro-tumor effect of M2-like TAMs and their effect on CD8+ T-cells may be dependent on their specific geospatial location and distribution within the TIME -- namely, that M2-like TAMs exert their pro-tumor effect and interact with CD8+ T-cells most effectively from the stromal compartment at the tumor-stroma interface.

INTRODUCTION AND OBJECTIVE:Clear cell renal cell carcinoma (ccRCC) tumors harbor comparatively low frequencies of genetic alterations yet very high levels of immune cell infiltration. Identifying a...

INTRODUCTION AND OBJECTIVE:Immune infiltration is typically quantified using cellular density, not accounting for cellular clustering. Tumor-associated macrophages (TAM) activate oncogenic signalin...

INTRODUCTION AND OBJECTIVE:As compared to targeted therapy (TT), clinical trials have shown an overall survival (OS) benefit for first-line immunotherapy (IT) and combination TT/IT regimens in meta...

CONTEXT: Small renal masses (SRMs; tumors

Background Mutations in the promoter region of the TERT gene have been detected in a variety of cancers. These mutations can potentially lead to unlimited cell divisions and result in poor clinical prognosis. Objective To determine the role and relevance of TERT promoter region mutations in both clear cell (ccRCC) and non–clear cell (nccRCC) renal cell carcinoma using ultra-deep and whole-genome sequencing methods on primary tumor samples. Design, setting, and participants DNA from 281 kidney tumors (147 ccRCC and 134 nccRCC) was sequenced between 2013 and 2015, and clinical outcomes for these patients from a single institution were retrospectively analyzed. Outcome measurements and statistical analysis Differences in patient characteristics and mutational status were tested using Fisher's exact test for categorical variables and the Wilcoxon rank sum test for continuous variables. Survival times were estimated using the Kaplan-Meier method and differences were tested using the log-rank test. Results and limitations TERT mutations occurred in 12.2% of ccRCC and 10.4% of nccRCC cases. In >80% of the cases, mutations were located at C228T and were found to co-occur only rarely with other relevant RCC driver genes. The median follow-up among survivors overall was 2.5 yr (range 0.1–18.3). TERT promoter mutations were significantly associated with cancer-specific survival in ccRCC (hazard ratio 2.68, 95% confidence interval 1.19–6.01; p =0.013). In nccRCC, TERT mutations were significantly associated with larger tumors and metastatic development. Assessment of further relevant clinical associations was precluded in the nccRCC group by the heterogeneous and small sample size. Conclusions Our data suggests that TERT mutational status reflects a distinct pathogenesis with an aggressive disease course in RCC. Stratifying patients with this unique tumorigenesis that leads to poor clinical outcomes could be a putative target for novel therapeutics. Patient summary We show a previously unrecognized frequency of TERT promoter mutations in both clear cell and non–clear cell renal cell carcinoma. TERT promoter mutations were associated with some worse outcomes in patients with clear cell renal cell carcinoma.

Cancer-associated fibroblasts (CAF) are highly prevalent cells in the tumor microenvironment in clear cell renal cell carcinoma (ccRCC). CAFs exhibit a pro-tumor effect in vitro and have been implicated in tumor cell proliferation, metastasis, and treatment resistance. Our objective is to analyze the geospatial distribution of CAFs with proliferating and apoptotic tumor cells in the ccRCC tumor microenvironment and determine associations with survival and systemic treatment. Pre-treatment primary tumor samples were collected from 96 patients with metastatic ccRCC. Three adjacent slices were obtained from 2 tumor-core regions of interest (ROI) per patient, and immunohistochemistry (IHC) staining was performed for αSMA, Ki-67, and caspase-3 to detect CAFs, proliferating cells, and apoptotic cells, respectively. H-scores and cellular density were generated for each marker. ROIs were aligned, and spatial point patterns were generated, which were then used to perform spatial analyses using a normalized Ripley’s K function at a radius of 25 μm (nK(25)). The survival analyses used an optimal cut-point method, maximizing the log-rank statistic, to stratify the IHC-derived metrics into high and low groups. Multivariable Cox regression analyses were performed accounting for age and International Metastatic RCC Database Consortium (IMDC) risk category. Survival outcomes included overall survival (OS) from the date of diagnosis, OS from the date of immunotherapy initiation (OS-IT), and OS from the date of targeted therapy initiation (OS-TT). Therapy resistance was defined as progression-free survival (PFS) &lt, 6 months, and therapy response was defined as PFS &gt, 9 months. CAFs exhibited higher cellular clustering with Ki-67+ cells than with caspase-3+ cells (nK(25): Ki-67 1.19, caspase-3 1.05, p = 0.04). The median nearest neighbor (NN) distance from CAFs to Ki-67+ cells was shorter compared to caspase-3+ cells (15 μm vs. 37 μm, respectively, p &lt, 0.001). Multivariable Cox regression analyses demonstrated that both high Ki-67+ density and H-score were associated with worse OS, OS-IT, and OS-TT. Regarding αSMA+CAFs, only a high H-score was associated with worse OS, OS-IT, and OS-TT. For caspase-3+, high H-score and density were associated with worse OS and OS-TT. Patients whose tumors were resistant to targeted therapy (TT) had higher Ki-67 density and H-scores than those who had TT responses. Overall, this ex vivo geospatial analysis of CAF distribution suggests that close proximity clustering of tumor cells and CAFs potentiates tumor cell proliferation, resulting in worse OS and resistance to TT in metastatic ccRCC.

Immune-modulating systemic therapies are often used to treat advanced cancer such as metastatic clear cell renal cell carcinoma (ccRCC). Used alone, sequence-based biomarkers neither accurately capture patient dynamics nor the tumor immune microenvironment. To better understand the tumor ecology of this immune microenvironment, we quantified tumor infiltration across three distinct ccRCC patient tumor cohorts using complementarity determining region-3 (CDR3) sequence recovery counts in tumor-infiltrating lymphocytes and a generalized diversity index (GDI) for CDR3 sequence distributions. GDI can be understood as a curve over a continuum of diversity scales that allows sensitive characterization of distributions to capture sample richness, evenness, and subsampling uncertainty, along with other important metrics that characterize tumor heterogeneity. For example, richness quantified the total unique sequence count, while evenness quantified similarities across sequence frequencies. Significant differences in receptor sequence diversity across gender and race revealed that patients with larger and more clinically aggressive tumors had increased richness of recovered tumoral CDR3 sequences, specifically in those from T-cell receptor alpha and B-cell immunoglobulin lambda light chain. The GDI inflection point (IP) allowed for a novel and robust measure of distribution evenness. High IP values were associated with improved overall survival, suggesting that normal-like sequence distributions lead to better outcomes. These results propose a new quantitative tool that can be used to better characterize patient-specific differences related to immune cell infiltration, and to identify unique characteristics of tumor-infiltrating lymphocyte heterogeneity in ccRCC and other malignancies. Significance: Assessment of tumor-infiltrating T-cell and B-cell diversity in renal cell carcinoma advances the understanding of tumor-immune system interactions, linking tumor immune ecology with tumor burden, aggressiveness, and patient survival. See related commentary by Krishna and Hakimi, p. 764

Key Points Question What is the comparative effectiveness of first-line targeted therapy, immunotherapy, and combination therapy in a real-world cohort of patients with metastatic clear cell renal cell carcinoma? Findings In this propensity-matched cohort study of 5872 patients treated in real-world clinical practice, first-line immunotherapy and combination therapy were associated with improved overall survival compared with first-line targeted therapy. Meaning This study suggests that clinical trial findings demonstrating an overall survival benefit associated with first-line immunotherapy-based regimens compared with targeted therapy are generalizable to a broader population of patients., Importance Clinical trials have shown an overall survival (OS) benefit associated with first-line immunotherapy (IT) and combination targeted therapy (TT) and IT regimens compared with TT among patients with metastatic clear cell renal cell carcinoma (RCC). Generalizability of these findings in a real-world cohort outside of a clinical trial setting is unclear. Objective To assess the association of first-line TT, IT, and combination TT and IT regimens with OS in a real-world cohort of patients with metastatic clear cell RCC. Design, Setting, and Participants This retrospective propensity-matched cohort study identified 5872 patients with metastatic clear cell RCC in the National Cancer Database from January 1, 2015, to December 31, 2017, who received first-line TT, IT, or combination TT and IT and were not treated on a clinical trial protocol. Patients were stratified by first-line systemic treatment. Statistical analysis was conducted from October 1 to December 1, 2020. Main Outcomes and Measures The primary outcome was OS from the date of diagnosis to death or censoring at last follow-up. After 1:1:1 nearest-neighbor caliper matching of propensity scores, survival analyses were conducted using Cox proportional hazards regression and Kaplan-Meier estimates. Results The final study population included 5872 patients (TT group: n = 4755 [81%]; 3332 men [70%]; median age, 64 years [interquartile range, 57-71 years]; IT group: n = 638 [11%]; 475 men [74%]; median age, 61 years [interquartile range, 54-69 years]; and combination TT and IT group: n = 479 [8%]; 321 men [67%]; median age, 62 years [interquartile range, 55-69 years]), and the matched cohort included 1437 patients (479 per treatment group). Patients in the IT and combination TT and IT groups were younger than those in the TT group, had fewer comorbid conditions (Charlson-Deyo score of 0, 480 of 638 [75%] in the TT group, 356 of 479 [74%] in the IT group, and 3273 of 4755 [69%] in the combination TT and IT group), and were more often treated at academic centers (315 of 638 [49%], 216 of 479 [45%], and 1935 of 4755 [41%], respectively). Both first-line IT and combination TT and IT were associated with improved OS compared with first-line TT for patients with metastatic clear cell RCC (IT group: hazard ratio [HR], 0.60 [95% CI, 0.48-0.75]; P, This cohort study assesses the association of first-line targeted therapy, immunotherapy, and combination targeted therapy and immunotherapy regimens with overall survival in a real-world cohort of patients with metastatic clear cell renal cell carcinoma (ccRCC).

Clinical trials have not shown a significant overall survival (OS) difference between chemotherapy and immunotherapy as first-line agents in metastatic urothelial carcinoma (UC). However, the generalizability of these findings in a real-world setting has not yet been evaluated in comparative effectiveness studies.To assess the effectiveness of first-line immunotherapy compared with chemotherapy regimens on OS in patients with metastatic UC of the bladder.This retrospective propensity-matched study identified metastatic bladder UC patients in the National Cancer Database from 2014 to 2017 who received either first-line immunotherapy-monotherapy or multi-agent chemotherapy, and who were not treated on a clinical trial protocol.The primary outcome was OS from the date of diagnosis to date of death or censoring at last follow-up. Patients were stratified into first-line immunotherapy and chemotherapy treatment groups. After 1:1 nearest-neighbor caliper-matching of propensity scores, the survival analysis was conducted using Cox regression modeling and Kaplan-Meier estimates.A total of 2,796 patients were included in the final study population, and 960 in the matched cohort (480 per treatment group). Utilization of immunotherapy increased over the time period studied as chemotherapy decreased (Immunotherapy: 3%-37%; Chemotherapy: 97%-63%; P0.001). In the overall cohort, patients who received first-line immunotherapy were older and more comorbid than those who received first-line chemotherapy (Age: 73 v. 67, respectively, P0.001; Charlson-Deyo score ≥2: 17% v. 11.5%, respectively, P0.001). In the matched cohort, patients who were treated with first-line immunotherapy had similar OS to those who were treated with first-line chemotherapy (HR: 0.91, 95CI 0.72-1.15). Due to the retrospective nature of the study, interpretation is limited by potential selection bias from unmeasured confounding.Metastatic bladder UC patients who received first-line immunotherapy had similar OS to those who received first-line chemotherapy.

Accumulating evidence supports green tea catechins (GTCs) in chemoprevention for prostate cancer (PCa), a leading cause of cancer morbidity and mortality among men. GTCs include (−)-epigallocatechin-3-gallate, which may modulate the molecular pathways implicated in prostate carcinogenesis. Prior studies of GTCs suggested that they are bioavailable, safe, and effective for modulating clinical and biological markers implicated in prostate carcinogenesis. GTCs may be of particular benefit to those with low-grade PCas typically managed with careful monitoring via active surveillance (AS). Though AS is recommended, it has limitations including potential under-grading, variations in eligibility, and anxiety reported by men while on AS. Secondary chemoprevention of low-grade PCas using GTCs may help address these limitations. When administrated orally, the gut microbiome enzymatically transforms GTC structure, altering its bioavailability, bioactivity, and toxicity. In addition to xenobiotic metabolism, the gut microbiome has multiple other physiological effects potentially involved in PCa progression, including regulating inflammation, hormones, and other known/unknown pathways. Therefore, it is important to consider not only the independent roles of GTCs and the gut microbiome in the context of PCa chemoprevention, but how gut microbes may relate to individual responses to GTCs, which, in turn, can enhance clinical decision-making.

Introduction: Circulating exosomes in blood have been considered as a treasure chest for biomarker discovery in cancer. Due to their heterogeneity, different isolation methods may enrich distinct exosome cargos generating different omic profiles. In this study, we evaluated the effects of plasma exosome isolation methods on detectable multiomic profiles in cancer patients and healthy controls. Methods: Plasma exosomes were isolated from prostate cancer patients (PC; N = 11), lung cancer patients (LC; N = 13), and matched healthy controls (HC; N = 10) using three methods [SBI (size exclusion), Takara (lectin binding), and Wako (Tim4 binding)]. Mass spectrometry was performed to determine exosome lipidome and metabolome profiles. To evaluate group-specific exosome enrichment, we developed an exosome enrichment index (EEI) by summing 50 smallest p-values after log2 transformation. Higher EEI indicates prefrential capture of significant exosome cargos from patients over controls. Results: Our data showed that the SBI method generated the most identified lipids from exosome across all groups (LC = 935, PC = 939, and HC = 943), followed by Takara (245, 245 and 245) and Wako (205, 208 and 213). Compared to controls, LC patients had 31 higher and 5 lower lipid levels (FDR < 0.1) using the SBI and 3 higher and 1 lower level (FDR < 0.1) using Takara. We did not observe any differences between cancer and normal samples using Wako. The most detectable known metabolites were found in exosomes from SBI (LC = 188, PC = 191, and HC = 100), followed by Wako (LC = 107, PC = 107, and HC = 107) and Takara (LC = 99, PC = 100, and HC = 100). Of the metabolites from SBI, 5 were significantly higher (FDR Conclusion: These results support that the SBI method can capture more heterogeneous exosome populations, possibly because this size exclusion-based method does not discriminate exosomes with different protein components. In contrast, Takara and Wako methods target exosome surface proteins, enriching specific exosome subpopulations resulting in less diversity of detectable lipids and metabolites. Overall, these findings suggest that exosome isolation methods can select subpopulations and determine the exosome content, which will significantly impact exosome-based biomarker discovery. Citation Format: Alex C. Soupir, Paul A. Stewart, Yury Nunez Lopez, Brandon J. Manley, Bruna Pellini, Jingsong Zhang, Qianxing Mo, Douglas C. Marchion, Min Lui, John M. Koomen, Erin M. Siegel, Liang Wang. Effects of plasma exosome isolation methods on detectable multiomic profiles in cancer patients and healthy controls [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3417.

4587 Background: Upper tract urothelial carcinoma (UTUC) is an aggressive cancer for which use of neoadjuvant chemotherapy (NAC) is limited by suboptimal clinical staging prior to nephroureterectomy. Detection of circulating tumor DNA (ctDNA) is associated with locally advanced and metastatic urothelial carcinoma of the bladder and may help identify UTUC patients who would benefit from NAC. Here we examine the feasibility and utility of plasma ctDNA in the diagnosis of non-organ confined high-risk UTUC. Methods: Patients with high-grade cTa-T2 UTUC without radiographic evidence of metastatic disease undergoing up-front radical nephroureterectomy (RNU) were prospectively accrued for pre- and post-operative plasma collection. Blood was collected preoperatively on the day of surgery, and plasma and buffy coat were processed for extraction of cell-free DNA and genomic DNA, respectively. FFPE tumor samples from RNU were used for tissue genomic DNA extraction. Targeted next-generation sequencing (NGS) was used for variant profiling. ctDNA positivity was defined as the presence of plasma cell-free DNA variants concordant with tissue-based variants. Results: NGS analyses of matched FFPE and plasma samples were successfully performed for all 19 accrued UTUC patients. Alterations in the TERT promoter (74%), TP53 (58%), FGFR3 (53%), myc amplification (53%), and ATM (42%) were demonstrated in urothelial tumor tissue. Matched plasma ctDNA showed prevalent alterations in the TERT promoter (42%), TP53 (42%), PIK3CA (37%), ATM (32%) and CD274 (26%). Nine patients (47%) had detectable plasma ctDNA mutations concordant with tumor-specific variants using the targeted NGS panel. All patients with detectable preoperative ctDNA had advanced staging (≥pT2 or ≥pN1) and lymphovascular invasion on final pathology, resulting in a 90% sensitivity. The panel was 100% specific with no patients with pTis, pTa, pT1 and pN0 having detectable concordant ctDNA mutations. Concordant plasma ctDNA was detected in four of nine patients postoperatively. Two of three (67%) who developed metastatic disease had detectable ctDNA while neither of the two who developed non-muscle-invasive bladder recurrences did. Conclusions: Prospective ctDNA analysis using a targeted NGS panel can be used to predict muscle-invasive and non-organ-confined UTUC preoperatively. Detectable postoperative ctDNA may indicate residual disease and predate clinical recurrence.

Background Clear cell renal cell carcinoma (ccRCC) tumors have low frequencies of genetic alterations compared with other malignancies, but very high levels of immune cell infiltration and favorable response rates to immunotherapy. Currently, the interplay between specific ccRCC somatic mutations and immune infiltration pattern is unclear. Objective To analyze the associations between common ccRCC somatic mutations and immune cell infiltration patterns within the tumor immune microenvironment (TIME). Design, setting, and participants The study included tumor samples (24 primary and 24 metastatic) from 48 patients with stage IV ccRCC. Targeted sequencing was performed for well-characterized recurrent somatic mutations in ccRCC, with the analysis focusing on the six most common ones: VHL, BAP1, PBRM1, SETD2, TP53, and KDM5C. For each sample, multiplex immunofluorescence (IF) was performed in lymphoid and myeloid panels, for seven regions of interest in three zones (tumor core, stroma, and tumor-stroma interface). IF-derived cellular densities were compared across patients, stratified by their somatic mutation status, using a linear mixed-model analysis. External validation was pursued using RNA-seq enrichment scoring from three large external data sources. Results and limitations Tumors with SETD2 mutations demonstrated significantly decreased levels of FOXP3+ T cells in the tumor core, stroma, and tumor-stroma interface. PBRM1 mutations were associated with decreased FOXP3+ T cells in the tumor core. Primary KDM5C mutations were associated with significantly increased CD206+ macrophage tumor infiltration in the tumor core. A computational method estimating immune cell types in the TIME using bulk RNA-seq data, xCell scoring, failed to validate associations from the IF analysis in large external data sets. A major limitation of the study is the relatively small patient population studied. Conclusions This study provides evidence that common somatic mutations in ccRCC, such as SETD2, PBRM1, and KDM5C, are associated with distinct immune infiltration patterns within the TIME. Patient summary In this study, we analyzed tumor samples from patients with metastatic kidney cancer to determine whether common genetic mutations that arise from the cancer cells are associated with the density of immune cells found within those tumors. We found several distinct immune cell patterns that were associated with specific genetic mutations. These findings provide insight into the interaction between cancer genetics and the immune system in kidney cancer.

BackgroundIt is highly contested whether cytoreductive nephrectomy for treating advanced renal cell carcinoma (RCC) with sarcomatoid features (sRCC) benefits overall survival. Patients with sRCC are known to have a poor prognosis, and these tumors have a more aggressive biology than those without sarcomatoid features.MethodsPatients with clear cell RCC or non–clear cell RCC underwent cytoreductive nephrectomy in efforts to improve overall survival (OS). Patients were stratified by presence or absence of histologic sarcomatoid features within tumor samples.ResultsOf 167 patients who underwent cytoreductive nephrectomy, 127 had clear cell RCC, of whom 14 had sarcomatoid features, and 40 had non–clear cell RCC, of whom 13 had sarcomatoid features. Median age of the cohort was 62 years (range, 56.5–69 years). The cohort included 119 male (71.3%) and 48 (28.7%) female patients. Among all patients with advanced RCC, having sRCC had a significantly worse OS after cytoreductive nephrectomy (30 vs 8 months; hazard ratio [HR], 2.88; P P =0.00016). For patients with clear cell RCC, having sRCC conferred a significantly poorer survival (30 vs 9 months; HR, 2.82; P=0.0035). Patients with non–clear cell sRCC also had significantly worse outcomes compared to patients whose tumors did not have sarcomatoid features (30 vs 6.5 months; HR, 3; P =0.009). When patients with sRCC were stratified by whether there was >10% or ≤10% sarcomatoid features present within the sample, there was no significant difference in OS (8 vs 8.5 months; P =0.32).ConclusionsSarcomatoid features within tumor histology confer significantly poor prognosis. Patients with sRCC, regardless of clear cell vs non–clear cell histology, have significantly shorter OS. Even among patients with 10% or less sarcomatoid features, there was no OS benefit to cytoreductive nephrectomy. Based on our findings, there appears to be a limited to no role of cytoreductive nephrectomy if sRCC is identified on pretreatment biopsy. The role of radiomics and pre-operative biopsies may confer significant benefit in this patient population.

Immune infiltration is typically quantified using cellular density, not accounting for cellular clustering. Tumor-associated macrophages (TAM) activate oncogenic signaling through paracrine interactions with tumor cells, which may be better reflected by local cellular clustering than global density metrics. Using multiplex immunohistochemistry and digital pathologic analysis we quantified cellular density and cellular clustering for myeloid cell markers in 129 regions of interest from 55 samples from 35 patients with metastatic ccRCC. CD68+ cells were found to be clustered with tumor cells and dispersed from stromal cells, while CD163+ and CD206+ cells were found to be clustered with stromal cells and dispersed from tumor cells. CD68+ density was not associated with OS, while high tumor/CD68+ cell clustering was associated with significantly worse OS. These novel findings would not have been identified if immune infiltrate was assessed using cellular density alone, highlighting the importance of including spatial analysis in studies of immune cell infiltration of tumors.SIGNIFICANCEIncreased clustering of CD68+ TAMs and tumor cells was associated with worse overall survival for patients with metastatic ccRCC. This effect would not have been identified if immune infiltrate was assessed using cell density alone, highlighting the importance of including spatial analysis in studies of immune cell infiltration of tumors.

Background Tumor associated macrophages (TAM) stimulate tumor proliferation and facilitate immune escape via production of immunosuppressive cytokines. We hypothesize that non-random spatial clustering of TAMs within the tumor are associated with poor survival in ccRCC patients. Methods Tumor specimens were obtained from 41 patients with metastatic ccRCC who received immunotherapy (IT). Sections from the tumor core underwent multiplex immunofluorescence staining for CD68, CD163, and CD206. Digital pathologic analysis was used to convert the digital images to spatial point pattern plots (PPP). Ripley’s K function, the current standard metric for spatial heterogeneity, was utilized. Novel metrics were developed using a probability density function (PDF) for distances between cells, assuming that cells can be located anywhere with equal probability. Empirical histograms were generated from the PPPs. Deviation from the PDF demonstrates a non-random distribution. Deviations were quantified with the Kolmogorov-Smirnov (KS) test and Cramer-von Mises (CVM) criterion. Overall survival (OS) was assessed between groups stratified by the median value for each metric using Kaplan-Meier and log-rank analysis. Figure 1A. Results 75 slides were analyzed from the 41 patients. The three metrics for measuring spatial heterogeneity had moderate and statistically significant correlation with each other (Spearman’s R: Ripley/KS=0.68, p Conclusions We describe CVM and KS as novel metrics for measuring spatial heterogeneity of immune cells. Increased spatial heterogeneity of CD68+ TAMs and tumor cells was associated with worse OS in patients with metastatic ccRCC who received IT. These findings corroborate prior reports of TAMs eliciting an immunosuppressive effect on the tumor-immune microenvironment, and demonstrate the novel finding of a clinically significant effect of TAM spatial clustering on OS.

Summary A clearer understanding of the tumor immune microenvironment (TIME) in metastatic clear cell renal cell carcinoma (ccRCC) may help to inform precision treatment strategies. We sought to identify clinically meaningful TIME signatures in ccRCC. We studied tumors from 39 patients with metastatic ccRCC using quantitative multiplexed immunofluorescence and relevant immune marker panels. Cell densities were analyzed in three regions of interest (ROIs): tumor core, tumor–stroma interface and stroma. Patients were stratified into low- and high-marker density groups using median values as thresholds. Log-rank and Cox regression analyses while controlling for clinical variables were used to compare survival outcomes to patterns of immune cell distributions. There were significant associations with increased macrophage (CD68+CD163+CD206+) density and poor outcomes across multiple ROIs in primary and metastatic tumors. In primary tumors, T-bet+ T helper type 1 (Th1) cell density was highest at the tumor–stromal interface (P = 0·0021), and increased co-expression of CD3 and T-bet was associated with improved overall survival (P = 0·015) and survival after immunotherapy (P = 0·014). In metastatic tumor samples, decreased forkhead box protein 3 (FoxP3)+ T regulatory cell density correlated with improved survival after immunotherapy (P = 0·016). Increased macrophage markers and decreased Th1 T cell markers within the TIME correlated with poor overall survival and treatment outcomes. Immune markers such as FoxP3 showed consistent levels across the TIME, whereas others, such as T-bet, demonstrated significant variance across the distinct ROIs. These findings suggest that TIME profiling outside the tumor core may identify clinically relevant associations for patients with metastatic ccRCC.

PURPOSE: Although neoadjuvant chemotherapy is associated with a survival advantage in pure urothelial, muscle invasive bladder cancer, the role of neoadjuvant chemotherapy is less clear in variant histology or urothelial carcinoma with divergent differentiation. We compared chemotherapy response and survival outcomes of patients with nonpure urothelial carcinoma histology who were managed with neoadjuvant chemotherapy followed by cystectomy vs cystectomy alone. MATERIALS AND METHODS: We analyzed 768 patients with clinical muscle invasive bladder cancer (cT2–4N0M0) who were treated with cystectomy at a tertiary care center from 2007 to 2017. Patients were stratified by histology and treatment strategy. Adjusted logistic and Cox regression models were used to evaluate pathological downstaging, cancer specific survival and overall survival. RESULTS: The cohort consisted of 410 patients (53%) with pure urothelial carcinoma, 185 (24%) with urothelial carcinoma with divergent differentiation and 173 (23%) with variant histology. Overall, 314 patients (41%) received neoadjuvant chemotherapy prior to cystectomy. There were similar rates of complete (18% to 30%) and partial (37% to 46%) pathological downstaging with neoadjuvant chemotherapy across all histological subgroups (p=0.30 and p=0.40, respectively). However, while patients with pure urothelial carcinoma experienced an overall survival benefit (HR 0.71, 95% CI 0.51–0.98, p=0.0013) and those with variant histology experienced a cancer specific survival benefit (HR 0.55, 95% CI 0.30–0.99, p=0.0495) with neoadjuvant chemotherapy, patients with urothelial carcinoma with divergent differentiation did not experience overall or cancer specific survival benefits with the use of neoadjuvant chemotherapy prior to cystectomy. CONCLUSIONS: Among patients with muscle invasive bladder cancer those with nonpure urothelial carcinoma histology with variant histology achieved nearly equivalent response rates and survival benefits with the use of neoadjuvant chemotherapy as those with pure urothelial carcinoma, while patients with urothelial carcinoma with divergent differentiation experienced significantly worse survival outcomes regardless of the use of neoadjuvant chemotherapy prior to cystectomy.

Background Patient-reported outcomes (PROs) promote patient centeredness in clinical trials; however, in the field of rapidly emerging and clinically impressive immunotherapy, data on PROs are limited. Methods We systematically identified all immunotherapy approvals from 2011 through 2018 and assessed the analytic tools and reporting quality of associated PRO reports. For randomized clinical trials (RCTs), we developed a novel 24-point scoring scale: the PRO Endpoints Analysis Score based on 24 criteria derived from the recommendations of the Setting International Standards in Analyzing Patient-Reported Outcomes and Quality of Life Endpoints Data Consortium. Results We assessed 44 trial publications supporting 42 immunotherapy approvals. PROs were published for 21 of the 44 (47.7%) trial publications. Twenty-three trials (52.3%) were RCTs and 21 (47.7%) pertained to single-arm trials. The median time between primary clinical outcomes publications and their corresponding secondary PRO publications was 19 months (interquartile range = 9-29 months). Of the 21 PRO reports, 4 (19.0%) reported a specific hypothesis, and most (85.7%) used descriptive statistics. Three (3 of 21 [14.3%]) studies performed a control for type I error. As for RCTs, 14 of 23 (60.9%) published PRO data, including 13 (56.5%) that published a secondary dedicated manuscript. One-half of these 14 trials scored less than 13 points on the 24-point PRO Endpoints Analysis Score. The mean score was 12.71 (range = 5-17, SD = 3.71), and none met all the recommendations of the Setting International Standards in Analyzing Patient-Reported Outcomes and Quality of Life Endpoints Data Consortium. Conclusions Suboptimal reporting of PROs occurs regularly in cancer immunotherapy trials. Increased efforts are needed to maximize the value of these data in cancer immunotherapy development and approval.

Introduction Small renal masses (SRMs) with evidence of clear cell renal cell carcinoma (ccRCC) are understudied. Current algorithms for the management of SRMs include surgical resection, ablation, and active surveillance. We sought to identify genomic biomarkers that could potentially refine the management of ccRCC in SRMs, especially in patients being evaluated for active surveillance. Methods We identified patients who had SRMs (4 cm or less) at time of surgery, had sequencing performed on their primary tumor and had a diagnosis of ccRCC. Patients were selected from 3 publicly available cohorts, The Cancer Genome Atlas ( n = 110), University of Tokyo ( n = 37), The International Cancer Genome Consortium ( n = 31), and from our own institutional prospective database ( n = 25). Among this cohort we analyzed mutations present in at least 5% of tumors, assessing for the enrichment of mutations and progression-free survival using the composite endpoint of recurrence or death of disease. Analysis was adjusted for multiple testing. A Cox regression model was used to assess clinical variables with significant mutations. Results In total, 203 patients were available for analysis. Median follow-up was 43.1 months among survivors. Mutations in VHL, PBRM1, SETD2, BAP1, KDM5C , and MTOR were present in more than 5% of tumors. Twenty-three patients (11.3%) had recurrence or died of their disease. Mutations in KDM5C were associated with inferior survival from either recurrence or death from disease, adjusted P 0.033. Conclusions We identified mutations in SRMs in ccRCC that are associated with recurrence and lethality. The strongest association was seen in those with KDM5C mutations. Use of these genomic biomarkers may improve stratification of patients with SRMs and for those who may be appropriate for active surveillance. Prospective evaluation of these markers is needed.

PURPOSE: There is an unmet need to develop prognostic biomarkers in post-neoadjuvant chemotherapy (NAC) muscle-invasive bladder cancer (MIBC) patients. We examine whether Ki-67 and PD-L1 expression can be used to guide adjuvant therapy. METHODS: Tissue microarrays were constructed from 130 post-NAC radical cystectomy samples. Up to 5 cores per sample were included. Expressions of Ki-67 and PD-L1 were evaluated using immunohistochemistry (IHC). RESULTS: Using a Cox regression model, positive Ki-67 expression in post-NAC radical cystectomy samples was associated with poorer overall survival (OS) (HR = 2.412, 95% CI, 1.076–5.408), independent of the pathological lymph node/N-stage. Positive Ki-67 expression was also associated with lack of tumor downstaging in a multivariable logistic regression model analysis (OR = 0.081, 95% CI, 0.014–0.464). PD-L1(−) and PD-L1(+) expression was associated with a median OS of 49.8 months and 26.9 months, respectively, which did not reach statistical significance. Patients with Ki-67/PD-L1 double-negative tumors had a significantly longer median OS of 98.2 months versus 29.9 and 26.9 months in PD-L1(−)/Ki-67(+) and PD-L1(+)/Ki-67(+) tumors, respectively. Lack of tumor downstaging was significantly associated with positive Ki-67 and positive PD-L1 expression. CONCLUSION: Positive Ki-67 and PD-L1 expression in post-NAC radical cystectomy samples was associated with inferior OS and absence of tumor downstaging. IHC on Ki-67 and PD-L1 would help to select patients for adjuvant therapy in post-NAC muscle-invasive bladder cancer.