Evidence map›Paper›PMID 38772367›Full record

ArticleCell systems2024

To modulate or to skip: De-escalating PARP inhibitor maintenance therapy in ovarian cancer using adaptive therapy.

Maximilian A R Strobl, Alexandra L Martin, Jeffrey West, Jill Gallaher, Mark Robertson-Tessi, Robert Gatenby, Robert Wenham, Philip K Maini, Mehdi Damaghi, Alexander R A Anderson

Abstract read
In one paragraph

Article in Cell systems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
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

22 citing papers in PubMed.

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  13. Evolutionary antifragile therapy.bioRxiv : the preprint server for biology · 2025
    Article
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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

10 authors.

Maximilian A R StroblDepartment of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, FL, USA; Department of Translational Hematology & Oncology Research, Cleveland Clinic, Cleveland, OH, USA. Electronic address: stroblm@ccf.org.
Alexandra L MartinDepartment of Obstetrics and Gynecology, University of Tennessee Health Science Center, Memphis, TN, USA; Division of Gynecologic Oncology, West Cancer Center and Research Institute, Memphis, TN, USA.
Jeffrey WestDepartment of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, FL, USA.
Jill GallaherDepartment of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, FL, USA.
Mark Robertson-TessiDepartment of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, FL, USA.
Robert GatenbyDepartment of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, FL, USA; Cancer Biology and Evolution Program, Moffitt Cancer Center, Tampa, FL, USA.
Robert WenhamGynecologic Oncology Program, Moffitt Cancer Center, Tampa, FL, USA.
Philip K MainiWolfson Centre for Mathematical Biology, University of Oxford, Oxford, UK. Electronic address: maini@maths.ox.ac.uk.
Mehdi DamaghiDepartment of Pathology, Stony Brook Medicine, SUNY, Brookhaven, NY, USA; Stony Brook Cancer Center, Stony Brook Medicine, SUNY, Brookhaven, NY, USA. Electronic address: mehdi.damaghi@stonybrookmedicine.edu.
Alexander R A AndersonDepartment of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, FL, USA. Electronic address: alexander.anderson@moffitt.org.

Funding

The Delta Ecology of NSCLC TreatmentU54CA274507 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI Joel Brown · 2023 to 2026
$9.4M
Radiomics and Pathomics to predict upstaging of DCISR01CA249016 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI DAMAGHI, MEHDI, NIELL, BETHANY LYNN · 2021 to 2025
$3.4M
Eco-Evolutionary dynamics of NSCLC to immunotherapy: Response and ResistanceU01CA232382 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI ANDERSON, ALEXANDER ROBERTSON ALLAN, ANTONIA, SCOTT J. · 2018 to 2022
$3.3M
Ecology and Evolution of Breast CarcinogenesisU01CA261841 · NCI · STATE UNIVERSITY NEW YORK STONY BROOK · PI DAMAGHI, MEHDI, SIQUEIRA SILVA, ARIOSTO S · 2021 to 2025
$3.0M
Modeling the role and regulation of reactive stroma in breast ductal carcinoma microinvasionsR01CA272601 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI DAMAGHI, MEHDI, REJNIAK, KATARZYNA ANNA · 2022 to 2025
$2.9M
NCI NIH HHS R01 CA249016NCI NIH HHS R01 CA272601NCI NIH HHS U01 CA232382NCI NIH HHS U01 CA261841NCI NIH HHS U54 CA274507
6 · The paper itself

Abstract

Toxicity and emerging drug resistance pose important challenges in poly-adenosine ribose polymerase inhibitor (PARPi) maintenance therapy of ovarian cancer. We propose that adaptive therapy, which dynamically reduces treatment based on the tumor dynamics, might alleviate both issues. Utilizing in vitro time-lapse microscopy and stepwise model selection, we calibrate and validate a differential equation mathematical model, which we leverage to test different plausible adaptive treatment schedules. Our model indicates that adjusting the dosage, rather than skipping treatments, is more effective at reducing drug use while maintaining efficacy due to a delay in cell kill and a diminishing dose-response relationship. In vivo pilot experiments confirm this conclusion. Although our focus is toxicity mitigation, reducing drug use may also delay resistance. This study enhances our understanding of PARPi treatment scheduling and illustrates the first steps in developing adaptive therapies for new treatment settings. A record of this paper's transparent peer review process is included in the supplemental information.

Indexed as

Ovarian NeoplasmsPoly(ADP-ribose) Polymerase InhibitorsAnimalsCell Line, TumorDrug Resistance, NeoplasmFemaleHumansMicePoly(ADP-ribose) Polymerase Inhibitorsadaptive therapydrug resistancemathematical modelingmathematical oncologyovarian cancerPARP inhibitortoxicity

Identifiers

PMID38772367
PMCPMC11190943

What OpenQuestion holds

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Registered trials

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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.