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Objectives: To examine real‐world characteristics, journey, and outcomes among patients with locoregional, nonmetastatic renal cell carcinoma (RCC). Methods: A retrospective analysis of medical records from the ConcertAI Oncology Dataset was performed on adults in the United States with newly diagnosed nonmetastatic RCC between January 2012–December 2017 who received surgical treatment, and were followed until August 2021. Patients were stratified based on the risk of recurrence after nephrectomy. Recurrence rate and survival outcomes were assessed. Results: The cohort (n = 439) had a median age of 64 years, 66.1% were male, and 76.5% had clear‐cell histology. The median follow‐up time from nephrectomy was 39.3 months overall, 41.0 months for intermediate‐high‐risk patients (n = 377; 85.9%) and 24.1 months for high‐risk patients (n = 62; 14.1%). For intermediate‐high‐ and high‐risk patients, respectively, 68.4% and 56.5% had ≥1 medical oncologist visit after nephrectomy. Of 260 patients with documentation of postoperative imaging assessments, 72% were ordered by medical oncologists, and the median time from initial nephrectomy to the first scan was 110 days (intermediate‐high‐risk) and 51 days (high‐risk). Provider‐documented recurrence occurred in 223 (50.8%) patients, of whom 41.7% had ≥1 medical oncologist visit before the recurrence. Three‐year disease‐free survival (DFS), and overall survival rates were 49.4% and 80.8% (all patients): 27.7% and 64.7% (high‐risk); and 52.9% and 83.3% (intermediate‐high‐risk). Conclusions: Our study reports low DFS after nephrectomy for patients with intermediate‐high‐ and high‐risk RCC. Subsequent approval and use of new and newly approved adjuvant therapeutic options could potentially delay or prevent recurrence. [ABSTRACT FROM AUTHOR]

Introduction: Metastatic urothelial carcinoma (mUC) has poor prognosis. A high unmet need exists for novel treatment for those who are unfit for platinumbased chemotherapy. Methods: We aimed to describe real-world temporal changes in patient characteristics and 1L treatment selection for mUC patients in the United States following the approval of anti-PD-1/L1 treatments. This study was a retrospective, observational study using anonymized and structured oncology electronic medical record (EMR) data from IQVIA and the US Oncology Network iKnowMed (USON). Results: After approval of 1L anti-PD-1/L1 treatment for mUC, there is a marked increase in the use of 1L anti-PD-1/L1 monotherapies, accompanied by a proportional decrease in 1L platinum-based treatments and non-guidelinebased therapy; particularly among the elderly (> 75 years) and those with poor ECOG performance status (ECOG PS 2+). Discussion: Anti-PD-1/L1 monotherapies fulfill the prior unmet need of frail mUC patients who are ineligible for platinum-based therapies. [ABSTRACT FROM AUTHOR]

A Markov-based cost-effectiveness model was developed to project long-term effectiveness and costs among patients who undergo nephrectomy for renal cell carcinoma and receive either adjuvant pembrolizumab, adjuvant sunitinib, or routine surveillance alone (no adjuvant treatment). Over a lifetime horizon, pembrolizumab was estimated to prolong quality-adjusted life expectancy and be cost-effective relative to both comparator treatment strategies. Introduction: Pembrolizumab was recently approved as an adjuvant treatment of renal cell carcinoma (RCC), based on prolonged disease-free survival compared to placebo in the phase III KEYNOTE-564 trial. The objective of this study was to evaluate the cost-effectiveness of pembrolizumab as monotherapy in the adjuvant treatment of RCC post-nephrectomy, from a US health sector perspective. Patients and Methods: A Markov model with 4 health states (disease-free, locoregional recurrence, distant metastases, and death) was developed to compare the cost and effectiveness of pembrolizumab versus routine surveillance or sunitinib. Transition probabilities were estimated using patient-level KEYNOTE-564 data (cutoff: June 14, 2021), a retrospective study, and published literature. Costs of adjuvant and subsequent treatments, adverse events, disease management, and terminal care were estimated in 2022 US$. Utilities were based on EQ-5D-5L data collected in KEYNOTE-564. Outcomes included costs, life-years (LYs), and quality-adjusted LYs (QALYs). Robustness was assessed through one-way and probabilistic sensitivity analyses. Results: Total cost per patient was $549,353 for pembrolizumab, $505,094 for routine surveillance, and $602,065 for sunitinib. Over a lifetime, pembrolizumab provided gains of 0.96 QALYs (1.00 LYs) compared to routine surveillance, yielding an incremental cost-effectiveness ratio of $46,327/QALY. Pembrolizumab dominated sunitinib with 0.89 QALYs (0.91 LYs) gained while saving costs. At a $150,000/QALY threshold, pembrolizumab was cost-effective versus both routine surveillance and sunitinib in 84.2% of probabilistic simulations. Conclusion: Pembrolizumab is projected to be cost-effective as an adjuvant RCC treatment versus routine surveillance or sunitinib based on a typical willingness-to-pay threshold. [ABSTRACT FROM AUTHOR]

Introduction: Pembrolizumab was recently approved as an adjuvant treatment of renal cell carcinoma (RCC), based on prolonged disease-free survival compared to placebo in the phase III KEYNOTE-564 trial. The objective of this study was to evaluate the cost-effectiveness of pembrolizumab as monotherapy in the adjuvant treatment of RCC post-nephrectomy, from a US health sector perspective., Patients and Methods: A Markov model with 4 health states (disease-free, locoregional recurrence, distant metastases, and death) was developed to compare the cost and effectiveness of pembrolizumab versus routine surveillance or sunitinib. Transition probabilities were estimated using patient-level KEYNOTE-564 data (cutoff: June 14, 2021), a retrospective study, and published literature. Costs of adjuvant and subsequent treatments, adverse events, disease management, and terminal care were estimated in 2022 US$. Utilities were based on EQ-5D-5L data collected in KEYNOTE-564. Outcomes included costs, life-years (LYs), and quality-adjusted LYs (QALYs). Robustness was assessed through one-way and probabilistic sensitivity analyses., Results: Total cost per patient was $549,353 for pembrolizumab, $505,094 for routine surveillance, and $602,065 for sunitinib. Over a lifetime, pembrolizumab provided gains of 0.96 QALYs (1.00 LYs) compared to routine surveillance, yielding an incremental cost-effectiveness ratio of $46,327/QALY. Pembrolizumab dominated sunitinib with 0.89 QALYs (0.91 LYs) gained while saving costs. At a $150,000/QALY threshold, pembrolizumab was cost-effective versus both routine surveillance and sunitinib in 84.2% of probabilistic simulations., Conclusion: Pembrolizumab is projected to be cost-effective as an adjuvant RCC treatment versus routine surveillance or sunitinib based on a typical willingness-to-pay threshold., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)

Purpose: Treatment of non-muscle-invasive bladder cancer (NMIBC) is guided by risk stratification using clinical and pathologic criteria. This study aimed to develop a natural language processing (NLP) model for identifying patients with high-risk NMIBC retrospectively from unstructured electronic medical records (EMRs) and to apply the model to describe patient and tumor characteristics., Methods: We used three independent EMR-derived data sets including adult patients with a bladder cancer diagnosis in 2011-2020 for NLP model development and training (n = 140), validation (n = 697), and application for the retrospective cohort analysis (n = 4,402). Deep learning methods were used to train NLP recognition of medical chart terminology to identify seven high-risk NMIBC criteria; model performance was assessed using the F1 score, weighted across features. An algorithm was then used to classify each patient as high-risk NMIBC (yes/no). Manually reviewed records served as the gold standard., Results: The F1 scores after model training were >0.7 for all but one uncommon feature (prostatic urethral involvement). The highest area under the receiver operating curves (AUC) was observed for Ta (0.897) and T1 (0.897); the lowest AUC was for carcinoma in situ (CIS; 0.617). For high-risk NMIBC classification, positive predictive value was 79.4%, negative predictive value was 93.2%, and false-positive rate was 8.9%. Sensitivity and specificity were 83.7% and 91.1%, respectively. Of 748 patients manually confirmed as having high-risk NMIBC, 196 (26%) had CIS (of whom 19% also had T1 and 23% also had Ta disease); 552 tumors (74%) had no associated CIS., Conclusion: The NLP model, combined with a rule-based algorithm, identified high-risk NMIBC with good performance and will enable future work to study real-world treatment patterns and clinical outcomes for high-risk NMIBC.