PROMISE: a real-world clinical-genomic database to address knowledge gaps in prostate cancer.

PURPOSE: Prostate cancer is a heterogeneous disease with variable clinical outcomes. Despite numerous recent approvals of novel therapies, castration-resistant prostate cancer remains lethal. A "real-world" clinical-genomic database is urgently needed to enhance our characterization of advanced prostate cancer and further enable precision oncology. METHODS: The Prostate Cancer Precision Medicine Multi-Institutional Collaborative Effort (PROMISE) is a consortium whose aims are to establish a repository of de-identified clinical and genomic patient data that are linked to patient outcomes. The consortium structure includes a (1) bio-informatics committee to standardize genomic data and provide quality control, (2) biostatistics committee to independently perform statistical analyses, (3) executive committee to review and select proposals of relevant questions for the consortium to address, (4) diversity/inclusion committee to address important clinical questions pertaining to racial disparities, and (5) patient advocacy committee to understand patient perspectives to improve patients' quality of care. RESULTS: The PROMISE consortium was formed by 16 academic institutions in early 2020 and a secure RedCap database was created. The first patient record was entered into the database in April 2020 and over 1000 records have been entered as of early 2021. Data entry is proceeding as planned with the goal to have over 2500 patient records by the end of 2021. CONCLUSIONS: The PROMISE consortium provides a powerful clinical-genomic platform to interrogate and address data gaps that have arisen with increased genomic testing in the clinical management of prostate cancer. The dataset incorporates data from patient populations that are often underrepresented in clinical trials, generates new hypotheses to direct further research, and addresses important clinical questions that are otherwise difficult to investigate in prospective studies.

Characterization of outcomes in patients with advanced genitourinary malignancies treated with immune checkpoint inhibitors.

PURPOSE: Several immune checkpoint inhibitors (ICIs) are FDA approved for treatment of genitourinary (GU) malignancies. We aim to determine demographic and clinicopathologic characteristics that significantly affect clinical outcomes in patients with advanced stage GU malignancies treated with ICIs. MATERIALS AND METHODS: We performed a single-center, consecutive, retrospective cohort analysis on patients with metastatic or unresectable GU malignancies who were treated with ICIs at the University of Michigan. Immune-related adverse events (irAEs), putative immune-mediated allergies, and overall response rates (ORR) were assessed. Comorbidity index scores were calculated. Survival analysis was performed to evaluate progression-free survival (PFS) and overall survival (OS), stratifying and controlling for a variety of clinicopathologic baseline factors including site of metastases. RESULTS: A total of 160 patients were identified with advanced renal cell carcinoma (RCC) or urothelial carcinoma. Median PFS and OS were 5.0 and 23.6 months for RCC, and 2.8 and 9.6 months for urothelial carcinoma, respectively. Patients who experienced increased frequency and higher grade irAEs had better ICI treatment response (P < 0.0001). Presence of liver metastases was associated with poor response to ICI therapy (P = 0.001). Multivariable modeling demonstrates that patients with urothelial carcinoma and liver metastases had statistically worse PFS and OS compared to patients with RCC or other sites of metastases, respectively. CONCLUSION: Greater frequency and higher grades of irAEs are associated with better treatment response in patients with RCC and urothelial malignancy receiving ICI therapy. The presence of liver metastases denotes a negative predictive marker for immunotherapy efficacy. SUMMARY: Immune checkpoint inhibitors (ICI) are increasingly used to treat genitourinary (GU) malignancies. However, clinical data regarding patients with advanced-stage GU malignancies treated with ICI is lacking. Thus, we performed a single-center, retrospective cohort study on patients with metastatic and unresectable renal cell carcinoma (RCC) and urothelial carcinoma who were treated with ICIs at the University of Michigan to provide demographic and clinicopathologic data regarding this population. We specifically focused on immune-related adverse events (irAEs), immune-mediated allergies, and the associated overall response rates (ORR). To better assess performance status, we calculated comorbidity scores for all patients. Finally, survival analyses for progression-free survival (PFS) and overall survival (OS) were performed using Kaplan-Meier analysis and Cox proportional hazards modeling, stratifying and controlling for clinicopathologic baseline factors, including sites of metastases, in our multivariable analysis. A total of 160 patients were identified with advanced RCC or urothelial carcinoma. We found decreased PFS (2.8 vs. 5.0 months) and decreased OS (9.8 vs. 23.6 months) for urothelial carcinoma compared to RCC patients. We noted that patients who experienced increased frequency and higher grades of irAEs had better treatment ORR with ICI therapy (P ≤ 0.0001). The presence of liver metastases was associated with worse ORR (P = 0.001), PFS (P = 0.0014), and OS (P = 0.0028) compared to other sites of metastases including lymph node, lung, and CNS/bone. The poor PFS and OS associated with urothelial carcinoma and liver metastases were preserved in our multivariable modeling after controlling for pertinent clinical factors. We conclude that greater frequency and higher grades of irAEs are associated with better treatment response in GU malignancy patients receiving ICI, a finding that is consistent with published studies in other cancers. The presence of liver metastases represents a significantly poor predictive marker in GU malignancy treated with ICI. Our findings contribute to the growing body of literature that seeks to understand the clinicopathologic variables and outcomes associated with ICI therapy.

Immunotherapy in metastatic sarcomatoid renal cell carcinoma: A single institution experience.

INTRODUCTION: Immune checkpoint inhibitors (CPIs) were recently approved in advanced clear cell renal cell carcinoma (RCC) and could be a promising option for metastatic RCC with sarcomatoid differentiation (sRCC) which otherwise carry a poor prognosis. We sought to compare outcomes between patients who received immunotherapy (IO) including CPIs or high dose interleukin-2 (HD IL2) for metastatic sRCC versus those who did not. PATIENTS AND METHODS: We performed a single-center retrospective data analysis of 44 consecutive sRCC patients with any percentage of sarcomatoid differentiation from our institutional RCC database of whom 34 received IO and 10 patients did not. RESULTS: Baseline variables between the two groups were not significantly different except for a greater percentage of patients with ≥40% sarcomatoid differentiation in the non-IO cohort. At a median follow-up of 27.6 months, patients treated with IO had a median overall survival of 57.6 months compared to 6.6 months in patients not treated with IO (p = 0.0002). Overall response rates (ORR) between the IO and non-IO group were 35.3% and 0% respectively (p = 0.06). When IO was given in the 1st line setting, the ORR was 25.0%, as compared to 44.4% in the 2nd line setting and beyond though limitations of small sample sizes apply. Immune-related adverse events (IRAE) occurred in 38.2% of patients in the IO group, with grade 3 events (mostly gastrointestinal) in 20.6% with no grade 4 or 5 events. IRAEs led to interruption or discontinuation of immunotherapy in 26.5%. CONCLUSION: Our results support IO as an effective therapeutic option for patients with metastatic sarcomatoid RCC. Further study of various IO regimens, including those affecting the interleukin-2 signaling pathway, and their efficacy in neoadjuvant and adjuvant settings are warranted in sRCC.