Evidence map›Paper›PMID 34630937›Full record

ArticleComputational and structural biotechnology journal2021

A mathematical model of the circadian clock and drug pharmacology to optimize irinotecan administration timing in colorectal cancer.

Janina Hesse, Julien Martinelli, Ouda Aboumanify, Annabelle Ballesta, Angela Relógio

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 46 citations in OpenAlex.

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  20. Hair Follicles as a Critical Model for Monitoring the Circadian Clock.International journal of molecular sciences · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 3 countries.

Janina HesseInstitute for Systems Medicine, Department of Human Medicine, MSH Medical School Hamburg - University of Applied Sciences and Medical University, Hamburg 20457, Germany.
Julien MartinelliINSERM U900, Saint-Cloud, France, Institut Curie, Saint Cloud, France, Paris Saclay University, France, MINES ParisTech, CBIO - Centre for Computational Biology, PSL Research University, Paris, France.
Ouda AboumanifyInstitute for Theoretical Biology (ITB), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt - Universität zu Berlin, and Berlin Institute of Health, Berlin 10117, Germany.
Annabelle BallestaINSERM U900, Saint-Cloud, France, Institut Curie, Saint Cloud, France, Paris Saclay University, France, MINES ParisTech, CBIO - Centre for Computational Biology, PSL Research University, Paris, France.
Angela RelógioInstitute for Systems Medicine, Department of Human Medicine, MSH Medical School Hamburg - University of Applied Sciences and Medical University, Hamburg 20457, Germany.
Humboldt-Universität zu Berlin · DECentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scheduling anticancer drug administration over 24 h may critically impact treatment success in a patient-specific manner. Here, we address personalization of treatment timing using a novel mathematical model of irinotecan cellular pharmacokinetics and -dynamics linked to a representation of the core clock and predict treatment toxicity in a colorectal cancer (CRC) cellular model. The mathematical model is fitted to three different scenarios: mouse liver, where the drug metabolism mainly occurs, and two human colorectal cancer cell lines representing an

Indexed as

ChronotherapyCircadian rhythmsColorectal cancerIrinotecan pharmacodynamicsMolecular circadian profilesTranslational-transcriptional networks

Identifiers

PMID34630937
PMCPMC8477139
OpenAlexW3196964499

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.