Literature DB >> 28314083

Characterization of dormant and active human cancer cells by quantitative phase imaging.

Peng Guo1,2, Jing Huang1,2, Marsha A Moses1,2.   

Abstract

The switch of tumor cells from a dormant, non-angiogenic phenotype to an active, angiogenic phenotype is a critical step in early cancer progression. To date, relatively little is known about the cellular behaviors of angiogenic and non-angiogenic tumor cell phenotypes. In this study, holographic imaging cytometry, a quantitative phase imaging (QPI) technique was used to continuously and non-invasively analyze, quantify, and compare a panel of fundamental cellular behaviors of angiogenic and non-angiogenic human osteosarcoma cells (KHOS) in a simple and economical way. Results revealed that angiogenic KHOS cells (KHOS-A) have significantly higher cell motility speeds than their non-angiogenic counterpart (KHOS-N) while no difference in their cell proliferation rates and cell cycle lengths were observed. KHOS-A cells were also found to have significantly smaller cell areas and greater cell optical thicknesses when compared with the non-angiogenic KHOS-N cells. No difference in average cell volumes was observed. These studies demonstrate that the morphology and behavior of angiogenic and non-angiogenic cells can be continuously, efficiently, and non-invasively monitored using a simple, quantitative, and economical system that does not require tedious and time-consuming assays to provide useful information about tumor dormancy.
© 2017 International Society for Advancement of Cytometry. © 2017 International Society for Advancement of Cytometry.

Entities:  

Keywords:  cell cycle; cell migration; cell morphology; cell phenotype; holographic microscopy; osteosarcoma; quantitative phase imaging; tumor angiogenesis; tumor dormancy

Mesh:

Year:  2017        PMID: 28314083     DOI: 10.1002/cyto.a.23083

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


  9 in total

1.  Reagent-Free and Rapid Assessment of T Cell Activation State Using Diffraction Phase Microscopy and Deep Learning.

Authors:  Sukrut Hemant Karandikar; Chi Zhang; Akilan Meiyappan; Ishan Barman; Christine Finck; Pramod Kumar Srivastava; Rishikesh Pandey
Journal:  Anal Chem       Date:  2019-02-22       Impact factor: 6.986

2.  Real-time halo correction in phase contrast imaging.

Authors:  Mikhail E Kandel; Michael Fanous; Catherine Best-Popescu; Gabriel Popescu
Journal:  Biomed Opt Express       Date:  2018-01-16       Impact factor: 3.732

3.  Therapeutic genome editing of triple-negative breast tumors using a noncationic and deformable nanolipogel.

Authors:  Peng Guo; Jiang Yang; Jing Huang; Debra T Auguste; Marsha A Moses
Journal:  Proc Natl Acad Sci U S A       Date:  2019-08-26       Impact factor: 11.205

4.  A Time-lapse, Label-free, Quantitative Phase Imaging Study of Dormant and Active Human Cancer Cells.

Authors:  Jing Huang; Peng Guo; Marsha A Moses
Journal:  J Vis Exp       Date:  2018-02-16       Impact factor: 1.355

Review 5.  Emerging machine learning approaches to phenotyping cellular motility and morphodynamics.

Authors:  Hee June Choi; Chuangqi Wang; Xiang Pan; Junbong Jang; Mengzhi Cao; Joseph A Brazzo; Yongho Bae; Kwonmoo Lee
Journal:  Phys Biol       Date:  2021-06-17       Impact factor: 2.959

6.  Liquid-phase electron microscopy of molecular drug response in breast cancer cells reveals irresponsive cell subpopulations related to lack of HER2 homodimers.

Authors:  Diana B Peckys; Ulrike Korf; Stefan Wiemann; Niels de Jonge
Journal:  Mol Biol Cell       Date:  2017-08-09       Impact factor: 4.138

7.  ITGA2 as a potential nanotherapeutic target for glioblastoma.

Authors:  Peng Guo; Alexander Moses-Gardner; Jing Huang; Edward R Smith; Marsha A Moses
Journal:  Sci Rep       Date:  2019-04-17       Impact factor: 4.379

Review 8.  Sarcoma treatment in the era of molecular medicine.

Authors:  Thomas Gp Grünewald; Marta Alonso; Sofia Avnet; Ana Banito; Stefan Burdach; Florencia Cidre-Aranaz; Gemma Di Pompo; Martin Distel; Heathcliff Dorado-Garcia; Javier Garcia-Castro; Laura González-González; Agamemnon E Grigoriadis; Merve Kasan; Christian Koelsche; Manuela Krumbholz; Fernando Lecanda; Silvia Lemma; Dario L Longo; Claudia Madrigal-Esquivel; Álvaro Morales-Molina; Julian Musa; Shunya Ohmura; Benjamin Ory; Miguel Pereira-Silva; Francesca Perut; Rene Rodriguez; Carolin Seeling; Nada Al Shaaili; Shabnam Shaabani; Kristina Shiavone; Snehadri Sinha; Eleni M Tomazou; Marcel Trautmann; Maria Vela; Yvonne Mh Versleijen-Jonkers; Julia Visgauss; Marta Zalacain; Sebastian J Schober; Andrej Lissat; William R English; Nicola Baldini; Dominique Heymann
Journal:  EMBO Mol Med       Date:  2020-10-13       Impact factor: 12.137

Review 9.  Chemoresistance-Related Stem Cell Signaling in Osteosarcoma and Its Plausible Contribution to Poor Therapeutic Response: A Discussion That Still Matters.

Authors:  Sara R Martins-Neves; Gabriela Sampaio-Ribeiro; Célia M F Gomes
Journal:  Int J Mol Sci       Date:  2022-09-27       Impact factor: 6.208

  9 in total

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