Evidence map›Paper›PMID 31746831›Full record

ArticleThe Analyst2019

Identifying fates of cancer cells exposed to mitotic inhibitors by quantitative phase imaging.

Dian Huang, Irena J Roy, Graeme F Murray, Jason Reed, Thomas A Zangle, Michael A Teitell

Open access · greenAbstract read
In one paragraph

Article in The Analyst, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

14 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
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  4. Quadrant darkfield (QDF) for label-free imaging of intracellular puncta.bioRxiv : the preprint server for biology · 2024
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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

6 authors at 4 institutions in 1 country.

Dian HuangDepartment of Bioengineering, University of California, Los Angeles, CA 90095, USA. mteitell@mednet.ucla.edu.
Irena J Roy
Graeme F Murray
Jason Reed
Thomas A Zangle
Michael A Teitell
University of California, Los Angeles · USUniversity of Richmond · USCalifornia NanoSystems Institute · USHuntsman (United States) · US

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
Virus Vector Shared ResourceP30CA016059 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI Kim Felder Rhoads · 1985 to 2026
$51.0M
(PQD5) Mass Profiling Melanoma Responses to Improve Therapy Choices and PrognosisR01CA185189 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI REED, JASON C, TEITELL, MICHAEL A · 2014 to 2017
$1.9M
(PQ5) Mitochondrial Transfer in Tumor Heterogeneity and Acquired Resistence to TherapyR21CA227480 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TEITELL, MICHAEL A · 2019 to 2020
$373k
NCI NIH HHS P30 CA016042NCI NIH HHS P30 CA016059NCI NIH HHS R01 CA185189NCI NIH HHS R21 CA227480
6 · The paper itself

Abstract

Cell cycle deregulation is a cancer hallmark that has stimulated the development of mitotic inhibitors with differing mechanisms of action. Quantitative phase imaging (QPI) is an emerging approach for determining cancer cell sensitivities to chemotherapies in vitro. Cancer cell fates in response to mitotic inhibitors are agent- and dose-dependent. Fates that lead to chromosomal instabilities may result in a survival advantage and drug resistance. Conventional techniques for quantifying cell fates are incompatible with growth inhibition assays that produce binary live/dead results. Therefore, we used QPI to quantify post-mitotic fates of G0/G1 synchronized HeLa cervical adenocarcinoma and M202 melanoma cells during 24 h of escalating-dose exposures to mitotic inhibitors, including microtubule inhibitors paclitaxel and colchicine, and an Aurora kinase A inhibitor, VX-680. QPI determined cell fates by measuring changes in cell biomass, morphology, and mean phase-shift. Cell fates fell into three groups: (1) bipolar division from drug failure; (2) cell death or sustained mitotic arrest; and (3) aberrant endocycling or multipolar division. In this proof-of-concept study, colchicine was most effective in producing desirable outcomes of sustained mitotic arrest or death throughout its dosing range, whereas both paclitaxel and VX-680 yielded dose-dependent multipolar divisions or endocycling, respectively. Furthermore, rapid completion of mitosis associated with bipolar divisions whereas prolonged mitosis associated with multipolar divisions or cell death. Overall, QPI measurement of drug-induced cancer cell fates provides a tool to inform the development of candidate agents by quantifying the dosing ranges over which suboptimal inhibitor choices lead to undesirable, aberrant cancer cell fates.

Indexed as

Antineoplastic AgentsAurora Kinase ACell Line, TumorColchicineCyclopropanesHumansMitosisPaclitaxelPiperazinesProof of Concept StudyProtein Kinase InhibitorsPyrazolesPyrimidinesTubulin ModulatorsAntineoplastic AgentsAURKA protein, humanAurora Kinase AColchicineCyclopropanesPaclitaxelPiperazinesProtein Kinase InhibitorsPyrazolesPyrimidinestozasertibTubulin Modulators

Identifiers

PMID31746831
PMCPMC6917840
OpenAlexW2987582022

What OpenQuestion holds

Textmetadata
LicenceTDM
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.