Literature DB >> 32580025

Integrative microphysiological tissue systems of cancer metastasis to the liver.

Amanda M Clark1, Nancy L Allbritton2, Alan Wells3.   

Abstract

The liver is the most commonly involved organ in metastases from a wide variety of solid tumors. The use of biologically and cellularly complex liver tissue systems have shown that tumor cell behavior and therapeutic responses are modulated within the liver microenvironment and in ways distinct from the behaviors in the primary locations. These microphysiological systems have provided unexpected and powerful insights into the tumor cell biology of metastasis. However, neither the tumor nor the liver exist in an isolated tissue situation, having to function within a complete body and respond to systemic events as well as those in other organs. To examine the influence of one organ on the function of other tissues, microphysiological systems are being linked. Herein, we discuss extending this concept to tumor metastases by integrating complex models of the primary tumor with the liver metastatic environment. In addition, inflammatory organs and the immune system can be incorporated into these multi-organ systems to probe the effects on tumor behavior and cancer treatments.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Liver metastasis; Metastasis-On-A-Chip; Metastatic microenvironment; Metastatic models; Microphysiological system

Mesh:

Year:  2020        PMID: 32580025      PMCID: PMC7750290          DOI: 10.1016/j.semcancer.2020.06.010

Source DB:  PubMed          Journal:  Semin Cancer Biol        ISSN: 1044-579X            Impact factor:   17.012


  141 in total

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Review 3.  Multiorgan Microphysiological Systems for Drug Development: Strategies, Advances, and Challenges.

Authors:  Ying I Wang; Carlos Carmona; James J Hickman; Michael L Shuler
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4.  Chip-based human liver-intestine and liver-skin co-cultures--A first step toward systemic repeated dose substance testing in vitro.

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Journal:  Eur J Pharm Biopharm       Date:  2015-04-06       Impact factor: 5.571

5.  A Novel Tissue-Based Liver-Kidney-on-a-Chip Can Mimic Liver Tropism of Extracellular Vesicles Derived from Breast Cancer Cells.

Authors:  Hongzhu Tian; Jiushen Pang; Kairong Qin; Weimo Yuan; Jing Kong; Hongjuan Ma; Junzhou He; Xuesong Yang; Yong Luo; Yao Lu; Bingcheng Lin; Tingjiao Liu
Journal:  Biotechnol J       Date:  2019-09-17       Impact factor: 4.677

Review 6.  ESR1 mutations—a mechanism for acquired endocrine resistance in breast cancer.

Authors:  Rinath Jeselsohn; Gilles Buchwalter; Carmine De Angelis; Myles Brown; Rachel Schiff
Journal:  Nat Rev Clin Oncol       Date:  2015-06-30       Impact factor: 66.675

Review 7.  The Extracellular Matrix Modulates the Metastatic Journey.

Authors:  FuiBoon Kai; Allison P Drain; Valerie M Weaver
Journal:  Dev Cell       Date:  2019-05-06       Impact factor: 12.270

8.  Cancer-associated fibroblast-secreted CXCL16 attracts monocytes to promote stroma activation in triple-negative breast cancers.

Authors:  Roni Allaoui; Caroline Bergenfelz; Sofie Mohlin; Catharina Hagerling; Kiarash Salari; Zena Werb; Robin L Anderson; Stephen P Ethier; Karin Jirström; Sven Påhlman; Daniel Bexell; Balázs Tahin; Martin E Johansson; Christer Larsson; Karin Leandersson
Journal:  Nat Commun       Date:  2016-10-11       Impact factor: 14.919

9.  Metastatic patterns and survival outcomes in patients with stage IV colon cancer: A population-based analysis.

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Journal:  Cancer Med       Date:  2019-11-06       Impact factor: 4.452

10.  Comparison of survival of patients with metastases from known versus unknown primaries: survival in metastatic cancer.

Authors:  Matias Riihimäki; Hauke Thomsen; Akseli Hemminki; Kristina Sundquist; Kari Hemminki
Journal:  BMC Cancer       Date:  2013-01-28       Impact factor: 4.430

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  2 in total

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Authors:  Kacey Ronaldson-Bouchard; Ilaria Baldassarri; Daniel Naveed Tavakol; Pamela L Graney; Maria Samaritano; Elisa Cimetta; Gordana Vunjak-Novakovic
Journal:  Adv Drug Deliv Rev       Date:  2022-03-09       Impact factor: 17.873

Review 2.  Tissue Chips and Microphysiological Systems for Disease Modeling and Drug Testing.

Authors:  Leslie Donoghue; Khanh T Nguyen; Caleb Graham; Palaniappan Sethu
Journal:  Micromachines (Basel)       Date:  2021-01-28       Impact factor: 2.891

  2 in total

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