Evidence map›Paper›PMID 35877695›Full record

ArticlePLoS computational biology2022

A model for the intrinsic limit of cancer therapy: Duality of treatment-induced cell death and treatment-induced stemness.

Erin Angelini, Yue Wang, Joseph Xu Zhou, Hong Qian, Sui Huang

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.1field-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

8 citing papers in PubMed, 24 citations in OpenAlex.

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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 2 countries.

Erin AngeliniDepartment of Applied Mathematics, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-6996-7709
Yue WangDepartment of Applied Mathematics, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0001-5918-7525
Joseph Xu ZhouImmuno-Oncology Department, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts, United States of America.
Hong QianDepartment of Applied Mathematics, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-5466-8650
Sui HuangInstitute for Systems Biology, Seattle, Washington, United States of America.ORCID 0000-0002-3545-4665
University of Washington Applied Physics Laboratory · USInstitute for Systems Biology · US

Funding

The Allee Effect in Tumor InitiationR01CA226258 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI BROCK, AMY, HUANG, SUI · 2018 to 2022
$2.3M
Dynamics of Non-equalibrium Cell State Transitions in Cell PopulationsR01GM109964 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI HUANG, SUI · 2015 to 2019
$1.7M
Theory and Measurement of Cell Population Dynamics with Cell-Cell Interaction (TMCC)R01GM135396 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI HUANG, SUI · 2019 to 2022
$1.7M
NCI NIH HHS R01 CA226258NIGMS NIH HHS R01 GM109964NIGMS NIH HHS R01 GM135396
6 · The paper itself

Abstract

Intratumor cellular heterogeneity and non-genetic cell plasticity in tumors pose a recently recognized challenge to cancer treatment. Because of the dispersion of initial cell states within a clonal tumor cell population, a perturbation imparted by a cytocidal drug only kills a fraction of cells. Due to dynamic instability of cellular states the cells not killed are pushed by the treatment into a variety of functional states, including a "stem-like state" that confers resistance to treatment and regenerative capacity. This immanent stress-induced stemness competes against cell death in response to the same perturbation and may explain the near-inevitable recurrence after any treatment. This double-edged-sword mechanism of treatment complements the selection of preexisting resistant cells in explaining post-treatment progression. Unlike selection, the induction of a resistant state has not been systematically analyzed as an immanent cause of relapse. Here, we present a generic elementary model and analytical examination of this intrinsic limitation to therapy. We show how the relative proclivity towards cell death versus transition into a stem-like state, as a function of drug dose, establishes either a window of opportunity for containing tumors or the inevitability of progression following therapy. The model considers measurable cell behaviors independent of specific molecular pathways and provides a new theoretical framework for optimizing therapy dosing and scheduling as cancer treatment paradigms move from "maximal tolerated dose," which may promote therapy induced-stemness, to repeated "minimally effective doses" (as in adaptive therapies), which contain the tumor and avoid therapy-induced progression.

Indexed as

NeoplasmsCell DeathCell PlasticityHumansNeoplastic Stem Cells

Identifiers

PMID35877695
PMCPMC9352192
OpenAlexW4287510485

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.