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Unsupervised Deconvolution of Dynamic Imaging Reveals Intratumor Vascular Heterogeneity and Repopulation Dynamics

With the existence of biologically distinctive malignant cells originated within the same tumor, intratumor functional heterogeneity is present in many cancers and is often manifested by the intermingled vascular compartments with distinct pharmacokinetics. However, intratumor vascular heterogeneity...

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Autores principales: Chen, Li, Choyke, Peter L., Wang, Niya, Clarke, Robert, Bhujwalla, Zaver M., Hillman, Elizabeth M. C., Wang, Ge, Wang, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4224420/
https://www.ncbi.nlm.nih.gov/pubmed/25379705
http://dx.doi.org/10.1371/journal.pone.0112143
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author Chen, Li
Choyke, Peter L.
Wang, Niya
Clarke, Robert
Bhujwalla, Zaver M.
Hillman, Elizabeth M. C.
Wang, Ge
Wang, Yue
author_facet Chen, Li
Choyke, Peter L.
Wang, Niya
Clarke, Robert
Bhujwalla, Zaver M.
Hillman, Elizabeth M. C.
Wang, Ge
Wang, Yue
author_sort Chen, Li
collection PubMed
description With the existence of biologically distinctive malignant cells originated within the same tumor, intratumor functional heterogeneity is present in many cancers and is often manifested by the intermingled vascular compartments with distinct pharmacokinetics. However, intratumor vascular heterogeneity cannot be resolved directly by most in vivo dynamic imaging. We developed multi-tissue compartment modeling (MTCM), a completely unsupervised method of deconvoluting dynamic imaging series from heterogeneous tumors that can improve vascular characterization in many biological contexts. Applying MTCM to dynamic contrast-enhanced magnetic resonance imaging of breast cancers revealed characteristic intratumor vascular heterogeneity and therapeutic responses that were otherwise undetectable. MTCM is readily applicable to other dynamic imaging modalities for studying intratumor functional and phenotypic heterogeneity, together with a variety of foreseeable applications in the clinic.
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spelling pubmed-42244202014-11-18 Unsupervised Deconvolution of Dynamic Imaging Reveals Intratumor Vascular Heterogeneity and Repopulation Dynamics Chen, Li Choyke, Peter L. Wang, Niya Clarke, Robert Bhujwalla, Zaver M. Hillman, Elizabeth M. C. Wang, Ge Wang, Yue PLoS One Research Article With the existence of biologically distinctive malignant cells originated within the same tumor, intratumor functional heterogeneity is present in many cancers and is often manifested by the intermingled vascular compartments with distinct pharmacokinetics. However, intratumor vascular heterogeneity cannot be resolved directly by most in vivo dynamic imaging. We developed multi-tissue compartment modeling (MTCM), a completely unsupervised method of deconvoluting dynamic imaging series from heterogeneous tumors that can improve vascular characterization in many biological contexts. Applying MTCM to dynamic contrast-enhanced magnetic resonance imaging of breast cancers revealed characteristic intratumor vascular heterogeneity and therapeutic responses that were otherwise undetectable. MTCM is readily applicable to other dynamic imaging modalities for studying intratumor functional and phenotypic heterogeneity, together with a variety of foreseeable applications in the clinic. Public Library of Science 2014-11-07 /pmc/articles/PMC4224420/ /pubmed/25379705 http://dx.doi.org/10.1371/journal.pone.0112143 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Chen, Li
Choyke, Peter L.
Wang, Niya
Clarke, Robert
Bhujwalla, Zaver M.
Hillman, Elizabeth M. C.
Wang, Ge
Wang, Yue
Unsupervised Deconvolution of Dynamic Imaging Reveals Intratumor Vascular Heterogeneity and Repopulation Dynamics
title Unsupervised Deconvolution of Dynamic Imaging Reveals Intratumor Vascular Heterogeneity and Repopulation Dynamics
title_full Unsupervised Deconvolution of Dynamic Imaging Reveals Intratumor Vascular Heterogeneity and Repopulation Dynamics
title_fullStr Unsupervised Deconvolution of Dynamic Imaging Reveals Intratumor Vascular Heterogeneity and Repopulation Dynamics
title_full_unstemmed Unsupervised Deconvolution of Dynamic Imaging Reveals Intratumor Vascular Heterogeneity and Repopulation Dynamics
title_short Unsupervised Deconvolution of Dynamic Imaging Reveals Intratumor Vascular Heterogeneity and Repopulation Dynamics
title_sort unsupervised deconvolution of dynamic imaging reveals intratumor vascular heterogeneity and repopulation dynamics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4224420/
https://www.ncbi.nlm.nih.gov/pubmed/25379705
http://dx.doi.org/10.1371/journal.pone.0112143
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