Evidence map›Paper›PMID 42316066›Full record

ArticleBMC cancer2026

Real-world evidence for the impact of circadian clock on the benefit from immune checkpoint inhibitors in solid tumors.

Eli M Soyfer, Benjamin J Lee, Abraham J Qavi, Selma Masri, Angela G Fleischman, Farshid Dayyani

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Article in BMC cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Eli M SoyferDivision of Hematology/Oncology, Department of Medicine, School of Medicine, University of California, Irvine, CA, USA. esoyfer@hs.uci.edu.
Benjamin J LeeDepartment of Pharmacy, University of California, Irvine Health, Irvine, CA, USA.
Abraham J QaviDepartment of Pathology & Laboratory Medicine, School of Medicine, University of California, Irvine, CA, USA.
Selma MasriDepartment of Biological Chemistry, School of Medicine, University of California, 839 Health Sciences Rd, Sprague Hall 126, Irvine, CA, 92697, USA.
Angela G FleischmanDivision of Hematology/Oncology, Department of Medicine, School of Medicine, University of California, Irvine, CA, USA.
Farshid DayyaniDivision of Hematology/Oncology, Department of Medicine, School of Medicine, University of California, Irvine, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe circadian clock regulates tumor-immune interactions in a time-of-day-dependent manner, yet whether this translates to a clinically meaningful benefit across diverse solid tumors in real-world populations remains unclear.

methodsWe retrospectively analyzed 969 patients receiving anti-PD-1 or anti-PD-L1 therapy at UCI Health between 2018 and 2022. Patients were classified as early (before 12 PM) or late (12 PM or after) based on infusion time. The primary outcome was disease control rate (DCR), defined as complete response (CR), partial response (PR), or stable disease (SD) per RECIST criteria. Unadjusted comparisons used the Pearson chi-square test. Multivariable logistic regression adjusting for disease stage, age, and ethnicity was performed in 806 patients with complete covariate data. Propensity score-matched analyses and sensitivity analyses using alternative exposure definitions were conducted.

resultsEarly infusion was associated with significantly higher DCR compared with late infusion (49% vs. 40%, p = 0.007). This association persisted after multivariable adjustment (adjusted OR 1.18, 95% CI 1.02-1.38, p = 0.024). The effect was directionally consistent across subgroups defined by sex, age, stage, and ICI agent. In ethnicity-stratified analyses, the association was significant among non-Hispanic patients (adjusted OR 1.18, 95% CI 1.02-1.39) but was indeterminate among Hispanic patients due to limited sample size (adjusted OR 1.18, 95% CI 0.84-1.65); the ethnicity-by-TOD interaction term was non-significant (p = 0.958). Sensitivity analyses using alternative exposure definitions and propensity score matching yielded consistent results.

conclusionsIn a large, heterogeneous real-world cohort spanning multiple tumor types and a diverse patient population, early ICI administration was independently associated with higher DCR. These findings support a chronotherapeutic effect of ICI timing and underscore DCR as a sensitive endpoint for its detection. Prospective validation across tumor types and demographic subgroups is warranted.

Indexed as

Circadian ClocksImmune Checkpoint InhibitorsNeoplasmsAgedB7-H1 AntigenFemaleHumansMaleMiddle AgedProgrammed Cell Death 1 ReceptorRetrospective StudiesTreatment OutcomeB7-H1 AntigenImmune Checkpoint InhibitorsProgrammed Cell Death 1 ReceptorCircadian rhythmDisease control rateImmune checkpoint inhibitorsReal-world evidenceTime-of-day

Identifiers

PMID42316066
PMCPMC13523368

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.