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263 Background: IO-based combination therapies have improved clinical outcomes in aRCC; several are approved for first-line use. AEs can significantly impact quality of life, and IO therapy is associated with AEs that differ from prior standard treatment toxicities. PROMs capture health status directly from patients and often include the symptoms and severity of AEs. Our aim was to assess the extent to which the PROMs used in pivotal trials covered the most common AEs associated with IO combinations. Methods: This was a review of data from four phase 3, randomized, open-label studies of IO-based combinations in previously untreated advanced/metastatic clear-cell RCC (CheckMate 214, CheckMate 9ER, KEYNOTE-426, CLEAR [KEYNOTE-581]). The 10 most common all-grade, all-cause AEs (%) and the PROMs used in each trial were identified. The inclusion of the most common AEs in the PROMs was explored descriptively. Results: The most common AEs and their frequencies varied among the different combination regimens. There was also variation across trials in the PROMs used. Capture of the most common AEs by the PROMs used in each study is summarized in the Table. Conclusions: Current PROMs used in clinical trials of IO combinations for aRCC tend to capture more of the common AEs for IO-IO vs IO-tyrosine kinase inhibitor regimens. PROMs that reflect the unique AE profiles of IO therapies, especially from the patient perspective, may be needed for future trials.[Table: see text]

311 Background: The immuno-oncology (IO) therapy combination nivolumab + ipilimumab, and the IO-tyrosine kinase inhibitor (TKI) combination pembrolizumab + axitinib, received US FDA approvals in 2018 and 2019, respectively, as first-line (1L) therapy for advanced renal cell carcinoma (aRCC). We examined physician perceptions of concerns about and barriers to 1L treatment by class of regimen (IO-IO, IO-TKI, and single-agent TKI [SA-TKI]) in the United States. Methods: US-based oncologists treating ≥ 5 aRCC patients in the prior 12 months were identified from the Cardinal Health network, a community of > 800 oncologists. Physicians were surveyed about concerns in prescribing and barriers to treating by class (scale of 1–5; 1 = no concern/not a barrier, 5 = most concerning/major barrier); mean scores are reported. Adverse events (AEs) of concern were selected from a prespecified list and respondents rank-ordered from most to least concerning by class. Physicians were also asked to gauge affordability and to rank-order 13 characteristics to identify key factors in prescribing preference. The impact of COVID-19 on aRCC care in practice was also assessed. Results: A total of 49 providers (84% community, 16% academic) treating a median of 20 (IQR 14–30) aRCC patients from across the United States participated. For IO-IO, the top 3 concerns in prescribing were AEs (4.3), patient out-of-pocket costs (OOP; 3.7), and unexpected late AEs (3.6), whereas patient OOP (4.3), AEs (4.1), and patient adherence (3.9) were of most concern for IO-TKI. For SA-TKIs, the top 3 concerns were patient adherence (3.9), patient OOP (3.9), and AEs (3.6). High patient OOP and impact on quality of life were the top 2 barriers in using IO-TKI therapy. The most concerning AEs were colitis, pneumonitis, and hypertension for IO-IO or IO-TKI, and diarrhea, fatigue, hand-foot syndrome, and hypertension for SA-TKI. Overall survival (OS), progression-free survival (PFS), and complete response (CR) were ranked 1st, 2nd, and 3rd factors in prescribing preferences while patient compliance, patient preference, and practice reimbursement ranked 11th, 12th, and 13th. Patient OOP and drug acquisition costs (DAC) were the most important factors when considering the affordability of treatment, with the perception that IO-IO was the most expensive among the classes of therapy. The overall impact of COVID-19 on caring for aRCC patients was very limited, with a moderate increased use of telemedicine and a slight impact on the timing and number of routine care visits. Conclusions: OS, PFS, and CR ranked highest among the most important factors influencing selection of 1L treatment for aRCC. Factors of concern and barriers varied by class of treatment, with patient adherence and OOP affecting use of TKI or IO-TKI therapies, and AEs affecting the use of IO-based therapy. This study revealed perceptions of high patient OOP and DAC of IO-IO therapy, in contrast to our expectations.