Evidence map›Paper›PMID 34460809›Full record

ArticlePLoS computational biology2021

The role of memory in non-genetic inheritance and its impact on cancer treatment resistance.

Tyler Cassidy, Daniel Nichol, Mark Robertson-Tessi, Morgan Craig, Alexander R A Anderson

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 33 citations in OpenAlex.

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  7. Systems Biology of the Cancer Cell.Annual review of biomedical engineering · 2025
    Review
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  19. Journal of biosciences · 2022
    Review
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 4 institutions in 3 countries.

Tyler CassidyTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.ORCID 0000-0003-0757-0017
Daniel NicholEvolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, United Kingdom.ORCID 0000-0003-2662-1836
Mark Robertson-TessiDepartment of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center, Tampa, Florida, United States of America.ORCID 0000-0003-0143-9587
Morgan CraigDépartement de mathématiques et de statistique, Université de Montréal, Montreal, Canada.ORCID 0000-0003-4852-4770
Alexander R A AndersonDepartment of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center, Tampa, Florida, United States of America.ORCID 0000-0002-2536-4383
Moffitt Cancer Center · USCentre Hospitalier Universitaire Sainte-Justine · CAInstitute of Cancer Research · GBLos Alamos National Laboratory · US

Funding

"Research Supplement to Promote Diversity in Health-Related Research", as part of Moffitt PS-OC, "Cancer as a Complex adaptive System"U54CA193489 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI ANDERSON, ALEXANDER ROBERTSON ALLAN, GATENBY, ROBERT A · 2015 to 2020
$12.5M
Spatial Models of Intrahepatic Hepatitis C Virus Propagation in HumansR01AI116868 · NIAID · TRIAD NATIONAL SECURITY, LLC · PI ASHWIN BALAGOPAL, Ruy M Ribeiro · 2016 to 2026
$8.5M
Modeling Viral and T Lymphocyte DynamicsR01OD011095 · OD · TRIAD NATIONAL SECURITY, LLC · PI PERELSON, ALAN S · 2012 to 2024
$5.0M
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
NCI NIH HHS U01 CA232382NCI NIH HHS U54 CA193489NIAID NIH HHS R01 AI116868NIH HHS R01 OD011095
6 · The paper itself

Abstract

Intra-tumour heterogeneity is a leading cause of treatment failure and disease progression in cancer. While genetic mutations have long been accepted as a primary mechanism of generating this heterogeneity, the role of phenotypic plasticity is becoming increasingly apparent as a driver of intra-tumour heterogeneity. Consequently, understanding the role of this plasticity in treatment resistance and failure is a key component of improving cancer therapy. We develop a mathematical model of stochastic phenotype switching that tracks the evolution of drug-sensitive and drug-tolerant subpopulations to clarify the role of phenotype switching on population growth rates and tumour persistence. By including cytotoxic therapy in the model, we show that, depending on the strategy of the drug-tolerant subpopulation, stochastic phenotype switching can lead to either transient or permanent drug resistance. We study the role of phenotypic heterogeneity in a drug-resistant, genetically homogeneous population of non-small cell lung cancer cells to derive a rational treatment schedule that drives population extinction and avoids competitive release of the drug-tolerant sub-population. This model-informed therapeutic schedule results in increased treatment efficacy when compared against periodic therapy, and, most importantly, sustained tumour decay without the development of resistance.

Indexed as

Antineoplastic AgentsDrug Resistance, NeoplasmHumansModels, BiologicalNeoplasmsStochastic ProcessesAntineoplastic Agents

Identifiers

PMID34460809
PMCPMC8432806
OpenAlexW3198820242

What OpenQuestion holds

Textmetadata
LicenceCC0
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.