Literature DB >> 31746831

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

Dian Huang1, Irena J Roy, Graeme F Murray, Jason Reed, Thomas A Zangle, Michael A Teitell.   

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.

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Year:  2019        PMID: 31746831      PMCID: PMC6917840          DOI: 10.1039/c9an01346f

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  43 in total

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Journal:  Cancer Res       Date:  2002-04-01       Impact factor: 12.701

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Review 3.  Endocycles: a recurrent evolutionary innovation for post-mitotic cell growth.

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Journal:  Nat Rev Mol Cell Biol       Date:  2014-03       Impact factor: 94.444

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Journal:  Cancer Cell       Date:  2005-07       Impact factor: 31.743

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9.  Phase I dose escalation study of MK-0457, a novel Aurora kinase inhibitor, in adult patients with advanced solid tumors.

Authors:  Anne M Traynor; Maureen Hewitt; Glenn Liu; Keith T Flaherty; Jason Clark; Steven J Freedman; Boyd B Scott; Ann Marie Leighton; Patricia A Watson; Baiteng Zhao; Peter J O'Dwyer; George Wilding
Journal:  Cancer Chemother Pharmacol       Date:  2010-04-13       Impact factor: 3.333

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Authors:  Thomas A Zangle; Michael A Teitell; Jason Reed
Journal:  PLoS One       Date:  2014-12-22       Impact factor: 3.240

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