ArticleNature communications2024
Time-of-day effects of cancer drugs revealed by high-throughput deep phenotyping.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Advances in monitoring mammalian circadian components and their rhythms using reporter systems.RSC chemical biology · 2026Review
- Chronotherapy in Hematological Malignancies: Evaluating the Rationale and Evidence.Pharmacology research & perspectives · 2026Review
- A Lentiviral Fluorescent Reporter to Study Circadian Rhythms in Single Cells.Journal of biological rhythms · 2026Article
- Theoretical chronobiology of circadian timing-gold mine or minefield?Npj biological timing and sleep · 2026Review
- Advancing AI for multi-omics and clinical data integration in basic and translational cancer research.Nature reviews. Cancer · 2026Review
- Chemical biology approaches to study and target circadian clocks and their components.FEBS letters · 2026Review
- Time after time - circadian clocks through the lens of oscillator theory.FEBS letters · 2026Review
- Opportunities for RNA sequencing in physiology: from big data to understanding homeostasis and heterogeneity.Function (Oxford, England) · 2026Review
- Circadian Clock Genes in Colorectal Cancer: From Molecular Mechanisms to Chronotherapeutic Applications.Biomedicines · 2026Review
- Personalized chronotherapy in glioblastoma: integrating circadian profiling and PK-PD modelling to optimize temozolomide timing.NPJ precision oncology · 2025Article
- Rhythm profiling using COFE reveals multi-omic circadian rhythms in human cancers in vivo.PLoS biology · 2025Article
- Sorption and release of small molecules in PDMS and COC for Organs on chip.Scientific reports · 2025Article
- A combined mathematical and experimental approach reveals the drivers of time-of-day drug sensitivity in human cells.Communications biology · 2025Article
- Melatonin as an anti-inflammatory hormone bridging migraine relief and cancer immunity enhancement: a literature review.Frontiers in immunology · 2025Review
- Deciphering the circadian rhythm in colorectal cancer: a bibliometric analysis of research landscape and trends.Frontiers in oncology · 2025Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
The circadian clock, a fundamental biological regulator, governs essential cellular processes in health and disease. Circadian-based therapeutic strategies are increasingly gaining recognition as promising avenues. Aligning drug administration with the circadian rhythm can enhance treatment efficacy and minimize side effects. Yet, uncovering the optimal treatment timings remains challenging, limiting their widespread adoption. In this work, we introduce a high-throughput approach integrating live-imaging and data analysis techniques to deep-phenotype cancer cell models, evaluating their circadian rhythms, growth, and drug responses. We devise a streamlined process for profiling drug sensitivities across different times of the day, identifying optimal treatment windows and responsive cell types and drug combinations. Finally, we implement multiple computational tools to uncover cellular and genetic factors shaping time-of-day drug sensitivity. Our versatile approach is adaptable to various biological models, facilitating its broad application and relevance. Ultimately, this research leverages circadian rhythms to optimize anti-cancer drug treatments, promising improved outcomes and transformative treatment strategies.
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Registered trials
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.