Are Adaptive Chemotherapy Schedules Robust? A Three-Strategy Stochastic Evolutionary Game Theory Model.

Rajvir Dua, Yongqian Ma, Paul K Newton

Open access · goldAbstract read

In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it

0cells of the map it votes in

5citing papers in PubMed

1.0field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 15 citations in OpenAlex.

Deciphering and steering population-level response under spatial drug heterogeneity on microhabitat structures.bioRxiv : the preprint server for biology · 2025
Article
To modulate or to skip: De-escalating PARP inhibitor maintenance therapy in ovarian cancer using adaptive therapy.Cell systems · 2024
Article
Treatment of evolving cancers will require dynamic decision support.Annals of oncology : official journal of the European Society for Medical Oncology · 2023
Review
A survey of open questions in adaptive therapy: Bridging mathematics and clinical translation.eLife · 2023
Article
COVID-19 vaccine incentive scheduling using an optimally controlled reinforcement learning model.Physica D. Nonlinear phenomena · 2023
Article

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

3 authors at 1 institution in 1 country.

Rajvir DuaDepartment of Mathematics, University of Southern California, Los Angeles, CA 90089-1191, USA.

Yongqian MaDepartment of Physics & Astronomy, University of Southern California, Los Angeles, CA 90089-1191, USA.

Paul K NewtonDepartment of Aerospace & Mechanical Engineering, Mathematics, The Ellison Institute, University of Southern California, Los Angeles, CA 90089-1191, USA.

University of Southern California · US

Funding

Life Sciences Division, Army Research Office W911NF1910269 (2019-2014)

6 · The paper itself

Abstract

We investigate the robustness of adaptive chemotherapy schedules over repeated cycles and a wide range of tumor sizes. Using a non-stationary stochastic three-component fitness-dependent Moran process model (to track frequencies), we quantify the variance of the response to treatment associated with multidrug adaptive schedules that are designed to mitigate chemotherapeutic resistance in an idealized (well-mixed) setting. The finite cell (

Indexed as

adaptive chemotherapychemotherapy schedulesevolutionary cyclesevolutionary game theory modelMoran process modeltumor chemoresistanceuncertainty quantification

Identifiers

PMID34207564

DOI10.3390/cancers13122880

PMCPMC8229399

OpenAlexW3172996612

What OpenQuestion holds

Textmetadata

LicenceCC BY

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.