Digital image analysis using video microscopy of human-derived prostate cancer vs normal prostate organoids to assess migratory behavior on extracellular matrix proteins
Affiliation
Cancer Biology, University of ArizonaMD/PhD Program, College of Medicine Tucson, University of Arizona
Cellular & Molecular Medicine, University of Arizona
Urology, College of Medicine Tucson, University of Arizona
College of Nursing, University of Arizona
Issue Date
2023-01-12
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Frontiers Media S.A.Citation
Marr KD, Ignatenko NA, Warfel NA, Batai K, Cress AE, Pollock GR, Wong AC and Lee BR (2023) Digital image analysis using video microscopy of human-derived prostate cancer vs normal prostate organoids to assess migratory behavior on extracellular matrix proteins. Front. Oncol. 12:1083150. doi: 10.3389/fonc.2022.1083150Journal
Frontiers in OncologyRights
© 2023 Marr, Ignatenko, Warfel, Batai, Cress, Pollock, Wong and Lee. This is an open-access article distributed under the terms of the Creative Commons Attribution License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
The advent of perpetuating living organoids derived from patient tissue is a promising avenue for cancer research but is limited by difficulties with precise characterization. In this brief communication, we demonstrate via time-lapse imaging distinct phenotypes of prostate organoids derived from patient material– without confirmation of cellular identity. We show that organoids derived from histologically normal tissue more readily spread on a physiologic extracellular matrix (ECM) than on pathologic ECM (p<0.0001), while tumor-derived organoids spread equally on either substrate (p=0.2406). This study is an important proof-of-concept to defer precise characterization of organoids and still glean information into disease pathology. Copyright © 2023 Marr, Ignatenko, Warfel, Batai, Cress, Pollock, Wong and Lee.Note
Open access journalISSN
2234-943XVersion
Final Published Versionae974a485f413a2113503eed53cd6c53
10.3389/fonc.2022.1083150
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Except where otherwise noted, this item's license is described as © 2023 Marr, Ignatenko, Warfel, Batai, Cress, Pollock, Wong and Lee. This is an open-access article distributed under the terms of the Creative Commons Attribution License.