Literature DB >> 27390264

Liver metastases: Microenvironments and ex-vivo models.

Amanda M Clark1, Bo Ma1, D Lansing Taylor2, Linda Griffith3, Alan Wells4.   

Abstract

The liver is a highly metastasis-permissive organ, tumor seeding of which usually portends mortality. Its unique and diverse architectural and cellular composition enable the liver to undertake numerous specialized functions, however, this distinctive biology, notably its hemodynamic features and unique microenvironment, renders the liver intrinsically hospitable to disseminated tumor cells. The particular focus for this perspective is the bidirectional interactions between the disseminated tumor cells and the unique resident cell populations of the liver; notably, parenchymal hepatocytes and non-parenchymal liver sinusoidal endothelial, Kupffer, and hepatic stellate cells. Understanding the early steps in the metastatic seeding, including the decision to undergo dormancy versus outgrowth, has been difficult to study in 2D culture systems and animals due to numerous limitations. In response, tissue-engineered biomimetic systems have emerged. At the cutting-edge of these developments are ex vivo 'microphysiological systems' (MPS) which are cellular constructs designed to faithfully recapitulate the structure and function of a human organ or organ regions on a milli- to micro-scale level and can be made all human to maintain species-specific interactions. Hepatic MPSs are particularly attractive for studying metastases as in addition to the liver being a main site of metastatic seeding, it is also the principal site of drug metabolism and therapy-limiting toxicities. Thus, using these hepatic MPSs will enable not only an enhanced understanding of the fundamental aspects of metastasis but also allow for therapeutic agents to be fully studied for efficacy while also monitoring pharmacologic aspects and predicting toxicities. The review discusses some of the hepatic MPS models currently available and although only one MPS has been validated to relevantly modeling metastasis, it is anticipated that the adaptation of the other hepatic models to include tumors will not be long in coming.
© 2016 by the Society for Experimental Biology and Medicine.

Entities:  

Keywords:  Liver metastasis; hepatic niche; metastatic models; microphysiological; tumor microenvironment

Mesh:

Year:  2016        PMID: 27390264      PMCID: PMC4999624          DOI: 10.1177/1535370216658144

Source DB:  PubMed          Journal:  Exp Biol Med (Maywood)        ISSN: 1535-3699


  122 in total

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Journal:  Nat Cell Biol       Date:  2013-06-02       Impact factor: 28.824

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  28 in total

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Review 3.  A Pathway to Personalizing Therapy for Metastases Using Liver-on-a-Chip Platforms.

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Journal:  Stem Cell Rev Rep       Date:  2017-06       Impact factor: 5.739

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5.  A glass-based, continuously zonated and vascularized human liver acinus microphysiological system (vLAMPS) designed for experimental modeling of diseases and ADME/TOX.

Authors:  Xiang Li; Subin M George; Lawrence Vernetti; Albert H Gough; D Lansing Taylor
Journal:  Lab Chip       Date:  2018-08-21       Impact factor: 6.799

6.  Harnessing Human Microphysiology Systems as Key Experimental Models for Quantitative Systems Pharmacology.

Authors:  D Lansing Taylor; Albert Gough; Mark E Schurdak; Lawrence Vernetti; Chakra S Chennubhotla; Daniel Lefever; Fen Pei; James R Faeder; Timothy R Lezon; Andrew M Stern; Ivet Bahar
Journal:  Handb Exp Pharmacol       Date:  2019

7.  A Model of Dormant-Emergent Metastatic Breast Cancer Progression Enabling Exploration of Biomarker Signatures.

Authors:  Amanda M Clark; Manu P Kumar; Sarah E Wheeler; Carissa L Young; Raman Venkataramanan; Donna B Stolz; Linda G Griffith; Douglas A Lauffenburger; Alan Wells
Journal:  Mol Cell Proteomics       Date:  2018-01-20       Impact factor: 5.911

Review 8.  Tissue chips - innovative tools for drug development and disease modeling.

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9.  A liver microphysiological system of tumor cell dormancy and inflammatory responsiveness is affected by scaffold properties.

Authors:  A M Clark; S E Wheeler; C L Young; L Stockdale; J Shepard Neiman; W Zhao; D B Stolz; R Venkataramanan; D Lauffenburger; L Griffith; A Wells
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10.  The efficacy of immune checkpoint inhibitors in advanced non-small-cell lung cancer with liver metastases.

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