Citations

694 Background: The treatment landscape of localized renal cell carcinoma (RCC) is rapidly evolving. Recent trials have demonstrated contrasting efficacy with adjuvant immunotherapy. Therefore, we sought to assess the mixed treatment comparisons among different adjuvant treatment options using updated data from trials and quantified the absolute effect with these treatments stratified by risk categories. Methods: This living network meta-analysis was conducted using the living interactive evidence (LIvE) synthesis framework. We used stratified baseline risks of disease progression from observational data and at 5, 10, 15 years from the Leibovich risk stratification system (based on risk scores ranging from 0 to ≥15). Corresponding intervention risks were then approximated using relative effect estimates (from NMA) and baseline risks. The difference between CIRs and baseline risks were calculated to present absolute risk differences in each risk category. Results: This NMA included eight RCTs with 8480 participants and seven unique treatment options. Pembrolizumab (pembro; rank 1) was associated with improved disease-free survival (DFS) when compared to atezolizumab (atezo; rank 6; hazard ratio: 0.68; 0.49;0.93), and nivolumab-ipilimumab (nivoipi; rank 5; 0.68; 0.48-0.97). However, no statistically significant difference was observed between pembro and atezo for overall survival (0.53; 0.28-1.01). Survival data for nivoIpi was not reported. No new statistically significant differences were observed since last update. The absolute benefit of atezo and nivoipi was minimal with higher T and N patients (Table). The results were similar with increasing Leibovich risk scores. Conclusions: Current evidence favors the use of a risk adapted approach when offering adjuvant immunotherapy. Adjuvant pembrolizumab remains a preferred treatment in patients with RCC who underwent nephrectomy. [Table: see text]

692 Background: Sarcomatoid mRCC exhibits poor prognosis and limited response to vascular endothelial growth factor pathway inhibition. Therefore, we assessed the efficacy of ICI combination therapy in this patient population using data from contemporary trials. Methods: MEDLINE and EMBASE were searched to identify phase III randomized controlled trials (RCTs) comparing the efficacy of ICI combinations with sunitinib monotherapy in patients with sarcomatoid mRCC. Patient important outcomes of interest included overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and complete response (CR). Precomputed hazard ratios (HR) with 95% confidence intervals (CI) for survival outcomes and binary outcome data for response rates (expressed as relative risk [RR] were meta-analyzed using a DerSimonian-Lairds random-effects method. Mixed treatment comparisons among different ICI combinations were made using a network-meta-analysis within the Bayesian framework. The surface under the cumulative ranking curves (SUCRA) were computed to assess the relative treatment rankings. Results: Six RCTs with a total of 618 patients were considered eligible for inclusion. ICI combination therapy was significantly associated with improved OS (HR: 0.56; 95% CI: 0.43-0.72) and PFS (HR: 0.50; 0.40-0.62), increased ORR (RR: 2.42; 1.92-3.06), and CR (RR: 4.23; 2.00-8.93) when compared to sunitinib in patients with sarcomatoid mRCC (Table). The results were consistent with Hartung-Knapp adjustment. Mixed treatment comparisons using current data revealed no statistically significant differences among different ICI combinations. However, the combination of nivolumab-ipilimumab was consistently ranked higher (rank 2 for OS, ORR, and CR) and may potentially be more efficacious than other counterparts. Conclusions: Current evidence suggests improved survival, delayed disease progression and increased response rates with the use of ICI combination therapy in patients with sarcomatoid mRCC. [Table: see text]

Accurate clinical staging of bladder cancer aids in optimizing the process of clinical decision-making, thereby tailoring the effective treatment and management of patients. While several radiomics approaches have been developed to facilitate the process of clinical diagnosis and staging of bladder cancer using grayscale computed tomography (CT) scans, the performances of these models have been low, with little validation and no clear consensus on specific imaging signatures. We propose a hybrid framework comprising pre-trained deep neural networks for feature extraction, in combination with statistical machine learning techniques for classification, which is capable of performing the following classification tasks: (1) bladder cancer tissue vs. normal tissue, (2) muscle-invasive bladder cancer (MIBC) vs. non-muscle-invasive bladder cancer (NMIBC), and (3) post-treatment changes (PTC) vs. MIBC.

Background: Obesity is on the rise within the inflammatory bowel disease population. The impact obesity has on the natural history of Crohn’s disease (CD) is not well-understood. We aimed to describe the prevalence of obesity in a population-based cohort of newly diagnosed patients with CD, and the impact obesity had on disease phenotype and outcomes of corticosteroid use, hospitalization, intestinal resection, and development of fistulizing or penetrating disease. Materials and Methods: A chart review was performed on Olmsted County, Minnesota residents diagnosed with CD between 1970 and 2010. Data were collected on demographics, body mass index, CD location and behavior, CD-related hospitalizations, corticosteroid use, and intestinal resection. The proportion of individuals considered obese at the time of CD diagnosis was evaluated over time, and CD-associated complications were assessed with Kaplan-Meier survival analysis. Results: We identified 334 individuals diagnosed with CD between 1970 and 2010, of whom 156 (46.7%) were either overweight (27.8%) or obese (18.9%) at the time of diagnosis. The proportion of patients considered obese at the time of their diagnosis of CD increased 2-3 fold over the course of the study period. However, obesity did not have a significant impact on the future risk of corticosteroid use, hospitalization, intestinal resection, or development of penetrating and stricturing complications. Conclusions: Obesity is on the rise in patients with CD, although in this cohort, there did not appear to be any negative association with future CD-related outcomes. Further prospective studies, ideally including obesity measures such as visceral adipose tissue assessment, are warranted to understand the implications of the rising prevalence of obesity on CD outcomes.

Abstract Inflammatory bowel disease (IBD), which comprises Crohn's disease and ulcerative colitis, is an idiopathic inflammatory condition of the gastrointestinal tract. The incidence and prevalence of IBD are rapidly increasing worldwide, particularly in newly industrialized regions such as Asia. Although a large medical armamentarium is available for treating this chronic disease, IBD imposes a marked global disease burden. To understand the complex etiopathogenesis of this condition, it is important to consider the rapidly changing trends in its epidemiology in Asia. During the past few decades, the incidence and prevalence of IBD have significantly increased in both Asian countries and Asian immigrants in Western countries. In this review, we aimed to study and update the epidemiology of IBD in diverse Asian regions and among Asian immigrants in North America and Europe. Moreover, we highlighted that this population exhibits a unique disease phenotype, such as male predominance and high frequency of perianal fistula in Crohn's disease. Also, a different disease phenotype including more complicated disease such as perianal complications was noted in Asian Americans and Asian Europeans.

e16550 Background: Improved computational power and modern algorithms have generated significant interest in radiomics for cancer diagnosis and staging. Here we assess the performance of deep learning (DL) models as a means for feature extraction in combination with supervised machine learning (ML) algorithms for accurate staging and chemotherapy response assessment of bladder cancer. Methods: Deidentified grayscale CT images from bladder cancer patients scheduled to undergo radical cystectomy were included in this retrospective study. These images were manually annotated with two regional masks (normal region and cancer region). Five DL models- namely, AlexNet, GoogleNet, InceptionV3, ResNet-50, and XceptionNet pre-trained on the ImageNet dataset, a public dataset, were then fine-tuned on our bladder CT scan data to extract features. Through feature selection process, the subset of the features was used to build ML classifiers for classification. The classification was performed using five different ML classifiers, namely k-Nearest Neighbor (KNN), Naïve-Bayes (NB), Support Vector Machine (SVM), Linear Discriminant Analysis (LDA), and Decision Tree (DT). The classification task was performed with 10-fold cross-validation, and each of the experiments contained a different but not mutually exclusive subset of samples. The evaluation metrics include accuracy, sensitivity, specificity, precision, and F1-score. Results: A total of 200 deidentified grayscale CT images of 100 patients with histologically proven bladder cancer, were included in this study. For experiment (1) normal vs. cancer, the LDA classifier on XceptionNet based features provides the best performance with an accuracy of 86.07%, sensitivity of 96.75%, specificity of 69.65%, precision of 83.07%, and F1-score of 89.39%. For experiment (2) non-muscle invasive Cancer (NMIBC) vs. muscle invasive bladder cancer (MIBC), the LDA classifier on XceptionNet based features provided the best performance with an accuracy of 79.72%, sensitivity of 66.62%, specificity of 87.39%, precision of 75.58%, and F1-score of 70.81%. For experiment (3) T0 lesion vs. MIBC, the LDA classifier on XceptionNet based features provides the best performance with an accuracy of 74.96%, sensitivity of 80.51%, specificity of 70.22%, precision of 69.78%, and F1-score of 74.73%. Conclusions: Our proposed model has shown good results in differentiating normal vs cancer and promising performance in differentiating T0 vs MIBC after chemotherapy treatment. We are expanding our dataset to further improve the performance in differentiating T0 vs MIBC. In addition, we will investigate the applicability of GAN for data augmentation to address data limit. We believe the hybrid DL and ML framework may facilitates radiologists' decisions and clinical decision-making in patients with bladder cancer.

Abstract Background Radium (Ra)‐223 is an established treatment option for patients with metastatic castrate‐resistant prostate cancer (mCRPC) who have symptomatic bone metastases without soft tissue disease. Studies have indicated genetic aberrations that regulate DNA damage response (DDR) in prostate cancer can increase susceptibility to treatments such as poly ADP‐ribose polymerase inhibitors and platinum‐based therapies. This study aims to evaluate mCRPC response to Ra‐223 stratified by tumor genomics. Methods This is a retrospective study of mCRPC patients who received Ra‐223 and genetic testing within the Mayo Clinic database (Arizona, Florida, and Minnesota) and Tulane Cancer Center. Patient demographics, genetic aberrations, treatment responses in terms of alkaline phosphatase (ALP) and prostate‐specific antigen (PSA), and survival were assessed. Primary end points were ALP and PSA response. Secondary end points were progression‐free survival (PFS) and overall survival (OS) from time of first radium treatment. Results One hundred and twenty‐seven mCRPC patients treated with Ra‐223 had germline and/or somatic genetic sequencing. The median age at time of diagnosis and Ra‐223 treatment was 61.0 and 68.6 years, respectively. Seventy‐nine (62.2%) had Gleason score ≥ 8 at time of diagnosis. 50.4% received prior docetaxel, and 12.6% received prior cabazitaxel. Notable alterations include TP53 (51.7%), BRCA 1/2 (15.0%), PTEN (13.4%), ATM (11.7%), TMPRSS2‐ERG (8.2%), RB deletion (3.4%), and CDK12 (1.9%). There was no significant difference in ALP or PSA response among the different genetic aberrations. Patients with a TMPRSS2‐ERG mutation exhibited a trend toward lower OS 15.4 months (95% confidence interval [CI] 10.0−NR) versus 26.8 months (95% CI 20.9−35.1). Patients with an RB deletion had a lower PFS 6.0 months (95% CI 1.28−NR) versus 9.0 months (95% CI 7.3−11.1) and a lower OS 13.9 months (95% CI 5.2−NR) versus 26.5 months (95% CI 19.8−33.8). Conclusions Among mCRPC patients treated with Ra‐223 at Mayo Clinic and Tulane Cancer Center, we did not find any clear negative predictors of biochemical response or survival to treatment. TMPRSS2‐ERG and RB mutations were associated with a worse OS. Prospective studies and larger sample sizes are needed to determine the impact of genetic aberrations in response to Ra‐223.

This study was carried out to quantitate the expression levels of microRNA-17, -19a, -34a, -155, and -210 (miRs) expressed in nine clear cell renal cell carcinoma (ccRCC) and one chromophobe renal cell carcinoma cell line with and without sarcomatoid differentiation, and in six primary kidney tumors with matching normal kidney tissues. The data in the five non-sarcomatoid ccRCC cell lines—RC2, CAKI-1, 786-0, RCC4, and RCC4/VHL—and in the four ccRCC with sarcomatoid differentiation—RCJ41T1, RCJ41T2, RCJ41M, and UOK-127—indicated that miR-17 and -19a were expressed at lower levels relative to miR-34a, -155, and -210. Compared with RPTEC normal epithelial cells, miR-34a, miR-155, and miR-210 were expressed at higher levels, independent of the sarcomatoid differentiation status and hypoxia-inducible factors 1α and 2α (HIFs) isoform expression. In the one chromophobe renal cell carcinoma cell line, namely, UOK-276 with sarcomatoid differentiation, and expressing tumor suppressor gene TP53, miR-34a, which is a tumor suppressor gene, was expressed at higher levels than miR-210, -155, -17, and -19a. The pilot results generated in six tumor biopsies with matching normal kidney tissues indicated that while the expression of miR-17 and -19a were similar to the normal tissue expression profile, miR-210, -155, -and 34a were expressed at a higher level. To confirm that differences in the expression levels of the five miRs in the six tumor biopsies were statistically significant, the acquisition of a larger sample size is required. Data previously generated in ccRCC cell lines demonstrating that miR-210, miR-155, and HIFs are druggable targets using a defined dose and schedule of selenium-containing molecules support the concept that simultaneous and concurrent downregulation of miR-210, miR-155, and HIFs, which regulate target genes associated with increased tumor angiogenesis and drug resistance, may offer the potential for the development of a novel mechanism-based strategy for the treatment of patients with advanced ccRCC.

360 Background: Pembrolizumab has been established as an effective treatment option in adjuvant renal cell carcinoma after the publication of KEYNOTE-564. However, the magnitude of benefit based on different risk categories is not well defined. Methods: We included full-text publications of phase II/III randomized controlled trials (RCTs) evaluating immune checkpoint inhibitors or tyrosine kinase inhibitors (TKIs) in adjuvant renal cell carcinoma after a systematic search. The outcomes of interest included disease free survival (DFS), overall survival (OS), all grade or grade ≥3 treatment related, and all cause adverse events. Mixed treatment comparisons were computed through a fixed-effect multivariate meta-regression within the frequent framework. Relative treatment rankings were assessed using P-scores. We used stratified baseline risks of disease progression from observational data and at 5, 10, 15 years from the Leibovich risk stratification system (based on risk scores ranging from 0 to ≥15). Corresponding intervention risks (CIRs) were then approximated using relative effect estimates (from NMA) and baseline risks. The difference between CIRs and baseline risks were calculated to present absolute risk differences in each baseline category. Results: This NMA included six RCTs with a total of 7525 participants and five unique treatment options. Mixed treatment comparisons showed significant DFS and OS benefit with pembrolizumab (rank 1) when compared against sunitinib (DFS HR 0.74 [0.55-0.99]; OS HR 0.51 [0.27-0.94]). However, there were no significant differences with pembrolizumab compared to pazopanib (DFS HR 0.81 [0.60- 1.09]; OS HR 0.54[0.29-1.01]) and axitinib (DFS HR 0.78 [0.54-1.14]; OS HR 0.52 [0.24-1.16]). The safety profiles were comparable. Absolute benefit of TKIs in adjuvant setting was minimal whereas this benefit increased with higher T and N patients in patients treated with pembrolizumab (Table). Similarly, the treatment benefit increased with higher Leibovich’s risk scores at 5, 10 and 15 years of follow up. Conclusions: The current analysis suggests that a risk adapted approach may be useful when considering adjuvant pembrolizumab in RCC patients.[Table: see text]

This Phase Ib study combined programmed death-ligand 1 inhibitor, atezolizumab, with other immunomodulatory agents in locally advanced and metastatic solid tumors. Arms B-D evaluated atezolizumab plus interferon-α, with/without vascular endothelial growth factor inhibitor, bevacizumab, in renal cell carcinoma (RCC) and other solid tumors. Arm B predominantly recruited patients with previously treated RCC or melanoma to receive atezolizumab plus interferon α-2b. Arm C investigated atezolizumab plus polyethylene glycol (PEG)-interferon α-2a in previously treated RCC. Arm D evaluated atezolizumab plus PEG-interferon α-2a and bevacizumab. Primary objectives were safety and tolerability; secondary objectives included clinical activity. Combination therapy was well tolerated, with safety profiles consistent with known risks of individual agents. The most frequent treatment-related toxicities were fatigue, chills, and pyrexia. The objective response rate (ORR) in arm B was 20.0% overall and 17.8% in patients with previously treated checkpoint inhibitor–naive RCC (n = 45). No responses were reported in arm C. The highest ORR in arm D was 46.7% in patients with treatment-naive RCC (n = 15). Data showed preliminary clinical activity and acceptable tolerability of atezolizumab plus interferon α-2b in patients with previously treated checkpoint inhibitor–naive RCC and of atezolizumab plus PEG-interferon α-2a and bevacizumab in patients with treatment-naive RCC.