Coordinated Pembrolizumab and High Dose IL-2 (5-in-a-Row Schedule) for Therapy of Metastatic Clear Cell Renal Cancer.

INTRODUCTION: The ligation of the interleukin-2 (IL-2) receptor and immune checkpoint blockade may each alter lymphocytes, thereby inducing regression in various cancers. Single agent objective response rates of 14% to 25% have been reported for usual schedule 14-dose-in-a-row IL-2 therapy of metastatic clear cell renal cancer (ccRCC), with a notable subset of responses being durable. Pembrolizumab yielded a 33% response rate in patients with metastatic ccRCC. PATIENTS AND METHODS: This study addressed the safety and feasibility of the combination of IL-2 and pembrolizumab in the treatment of metastatic ccRCC. Subjects were treated with four 9-week blocks of therapy, receiving pembrolizumab every 3 weeks in all blocks and receiving 4 courses of 5-planned-doses high dose IL-2 in each of blocks 2 and 3. Safety was monitored by a Pocock boundary of study suspension and re-evaluation if exceeding a 15% dose limiting toxicity rate at α = 0.05. The Simon 2-stage design tested for an alternative hypothesis response rate of at least a 45% vs. a null hypothesis rate of less than 20%, with α = 0.10 and 90% power RESULTS: No accrual suspension for safety was triggered. The objective response rate was 70% (19/27, 95% CI: 0.50-0.86). Nine patients responded after pembrolizumab alone and ten responded after the addition of IL-2. At a minimum follow-up of 23 months, 9 of the responding patients had no disease progression requiring additional treatment. CONCLUSION: The combination of 5-planned-dose-schedule high dose IL-2 and pembrolizumab is feasible, with a high response rate, justifying further exploration of this dual immune treatment of metastatic ccRCC.

Using Big Data in oncology to prospectively impact clinical patient care: A proof of concept study.

OBJECTIVE: Big Data is widely seen as a major opportunity for progress in the practice of personalized medicine, attracting the attention from medical societies and presidential teams alike as it offers a unique opportunity to enlarge the base of evidence, especially for older patients underrepresented in clinical trials. This study prospectively assessed the real-time availability of clinical cases in the Health & Research Informatics Total Cancer Care™ (TCC) database matching community patients with cancer, and the impact of such a consultation on treatment. MATERIALS AND METHODS: Patients aged 70 and older seen at the Lynn Cancer Institute (LCI) with a documented malignancy were eligible. Geriatric screening information and the oncologist's pre-consultation treatment plan were sent to Moffitt. A search for similar patients was done in TCC and additional information retrieved from Electronic Medical Records. A report summarizing the data was sent and the utility of such a consultation was assessed per email after the treatment decision. RESULTS: Thirty one patients were included. The geriatric screening was positive in 87.1% (27) of them. The oncogeriatric consultation took on average 2.2 working days. It influenced treatment in 38.7% (12), and modified it in 19.4% (6). The consultation was perceived as "somewhat" to "very useful" in 83.9% (26). CONCLUSION: This study establishes a proof of concept of the feasibility of real time use of Big Data for clinical practice. The geriatric screening and the consultation report influenced treatment in 38.7% of cases and modified it in 19.4%, which compares very well with oncogeriatric literature. Additional steps are needed to render it financially and clinically viable.