Optimal hour of immune checkpoint inhibitors (ICIs) administration in metastatic renal cell carcinoma (mRCC): The “Tic-Tac” study.
Abstract
452 Background: Recent studies suggest that early time-of-day (ToD) ICI-administration improves outcomes in metastatic cancer pts, likely due to circadian regulation of the immune response. Data in mRCC are limited, with no consensus on ToD cut-off or optimal number of morning-administered ICI cycles. Methods: This retrospective study included clear cell mRCC pts treated with ICIs (2015-2025). ToD was recorded for the first 4 treatment cycles. Pearson’s correlation tested ToD variation across the first 4 cycles. ToD was analyzed as a continuous predictor of cancer-specific survival (CSS) using Cox models. Kaplan-Meier analysis compared CSS between ToD cut-off groups. Results: Median follow-up of 223 pts was 28 months (mo): 100 received first-line ipilimumab–nivolumab and 123 later-line nivolumab. Median age at the start of ICIs was 67 years (range 54-69), 71% were men, and 25% had IMDC poor risk. The mean ToD for the first 4 ICI cycles was 13:09, 13:37, 13:39 and 13:31 respectively, with significant correlations between cycle 1 and subsequent cycles. Univariable analysis showed a linear negative association between ToD and CSS across the first 4 cycles, but on multivariable analysis (MVA) only ToD of cycle 1 was independently correlated to CSS (Table). Hence, focus was placed on cycle 1. Pts (n=36) receiving cycle 1 <11:00 had a CSS of 71 months versus 34 mo in pts (n=187) who received cycle 1 >11:00 [HR 0.53 (95%CI 0.3-0.8), p=0.01]. Pts (n=115) receiving cycle 1 <13:00 had a CSS of 62 mo versus 28 mo in pts (n=108) who received cycle 1 >13:00 [HR 0.55 (0.4-0.8), p=0.0006]. Pts (n=190) receiving cycle 1 <16:00 had a CSS of 49 mo versus 19 mo in pts (n=33) who received cycle 1 >16:00 [HR 0.40 (0.2-0.7), p<0.0001). The HR for CSS yielded 0.27 (0.1-0.5, p<0.0001) when comparing pts treated <11:00 with pts treated >16:00. On MVA including ToD at cycle 1, age, IMDC risk, ICI type, and the presence of liver, brain, or bone metastases, ToD at cycle 1 remained independently associated with CSS, with a linear negative effect [HR (+1 hour) 1.1 (1.03-1.2); p = 0.008]. Poor IMDC risk [HR 1.9 (1.1-3.6), p=0.04], older age [HR (+1 year) 1.03 (1.01-1.04); p=0.005], and liver metastases [HR 1.7 (1.1-2.5); p=0.03] were independently linked to worse CSS. Conclusions: Consistent with previous findings showing improved outcomes in mRCC patients who received ICIs in the morning, our study confirms that earlier ICI-administration (especially <11:00) is associated with better CSS. ToD of the first treatment cycle carries the greatest impact on CSS in mRCC. Univariable and multivariable analysis: ToD administration cycle 1-4. ToD Univariable analysisN=223 Multivariable analysisN=180 HR (+ 1 hour) (CI); p-value Cycle 1 1.2 (1.1-1.3); 0.0001 1.1 (1.05-1.3); 0.005 Cycle 2 1.1 (1.04-1.2); 0.003 1.0 (0.9-1.1); 0.9 Cycle 3 1.1 (1.03-1.2); 0.008 1.0 (0.9-1.2); 0.6 Cycle 4 1.1 (1.04-1.2); 0.007 1.1 (0.9-1.2); 0.2
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (14)
Giulia Mammone
Department of General Medical Oncology, UZ Leuven, Leuven, Belgium
Octavie Demeulenaere
Cell Stress & Immunity, Department of Cellular & Molecular Medicine, KU Leuven, Leuven, Belgium
Edward Scott McTaggart
Computational Oncology Lab, Leuven, Belgium
Stefan Naulaerts
Computational Oncology Lab, Leuven, Belgium
Maarten Albersen
Department of Urology, University Hospital Leuven, Leuven, Belgium
Marcella Baldewijns
Department of Pathology, University Hospital Leuven, Leuven, Belgium
Liesbeth De Wever
Department of Radiology, University Hospital Leuven, Leuven, Belgium
Paul M. Clement
Department of Oncology, KU Leuven, Leuven, Belgium
Paulien Van Loocke
KU Leuven, Leuven, Belgium
Lisa Kinget
Department of General Medical Oncology, UZ Leuven, Leuven, Belgium
Philip R. Debruyne
Kortrijk Cancer Centre, Department of Medical Oncology, General Hospital Groeninge, Kortrijk, Belgium
Annouschka Laenen
Interuniversity Centre for Biostatistics and Statistical Bioinformatics, Leuven Cancer Institute, Leuven, Belgium
Abhishek Garg
Laboratory of Cell Stress & Immunity (CSI), Department of Cellular and Molecular Medicine, Leuven, Belgium
Benoit Beuselinck
University Hospital Leuven, KU Leuven, Leuven, Belgium