Literature DB >> 32045679

Breast cancer models: Engineering the tumor microenvironment.

Gokhan Bahcecioglu1, Gozde Basara1, Bradley W Ellis2, Xiang Ren1, Pinar Zorlutuna3.   

Abstract

The mechanisms behind cancer initiation and progression are not clear. Therefore, development of clinically relevant models to study cancer biology and drug response in tumors is essential. In vivo models are very valuable tools for studying cancer biology and for testing drugs; however, they often suffer from not accurately representing the clinical scenario because they lack either human cells or a functional immune system. On the other hand, two-dimensional (2D) in vitro models lack the three-dimensional (3D) network of cells and extracellular matrix (ECM) and thus do not represent the tumor microenvironment (TME). As an alternative approach, 3D models have started to gain more attention, as such models offer a platform with the ability to study cell-cell and cell-material interactions parametrically, and possibly include all the components present in the TME. Here, we first give an overview of the breast cancer TME, and then discuss the current state of the pre-clinical breast cancer models, with a focus on the engineered 3D tissue models. We also highlight two engineering approaches that we think are promising in constructing models representative of human tumors: 3D printing and microfluidics. In addition to giving basic information about the TME in the breast tissue, this review article presents the state-of-the-art tissue engineered breast cancer models. STATEMENT OF SIGNIFICANCE: Involvement of biomaterials and tissue engineering fields in cancer research enables realistic mimicry of the cell-cell and cell-extracellular matrix (ECM) interactions in the tumor microenvironment (TME), and thus creation of better models that reflect the tumor response against drugs. Engineering the 3D in vitro models also requires a good understanding of the TME. Here, an overview of the breast cancer TME is given, and the current state of the pre-clinical breast cancer models, with a focus on the engineered 3D tissue models is discussed. This review article is useful not only for biomaterials scientists aiming to engineer 3D in vitro TME models, but also for cancer researchers willing to use these models for studying cancer biology and drug testing.
Copyright © 2020. Published by Elsevier Ltd.

Entities:  

Keywords:  3D tumor models; Bioprinting; Breast cancer; Microfluidics; Tissue engineering; Tumor microenvironment

Mesh:

Year:  2020        PMID: 32045679      PMCID: PMC7185577          DOI: 10.1016/j.actbio.2020.02.006

Source DB:  PubMed          Journal:  Acta Biomater        ISSN: 1742-7061            Impact factor:   8.947


  273 in total

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Authors:  Susan L Bellis
Journal:  Biochim Biophys Acta       Date:  2004-05-27

2.  Tumor grafts derived from women with breast cancer authentically reflect tumor pathology, growth, metastasis and disease outcomes.

Authors:  Yoko S DeRose; Guoying Wang; Yi-Chun Lin; Philip S Bernard; Saundra S Buys; Mark T W Ebbert; Rachel Factor; Cindy Matsen; Brett A Milash; Edward Nelson; Leigh Neumayer; R Lor Randall; Inge J Stijleman; Bryan E Welm; Alana L Welm
Journal:  Nat Med       Date:  2011-10-23       Impact factor: 53.440

3.  The morphologies of breast cancer cell lines in three-dimensional assays correlate with their profiles of gene expression.

Authors:  Paraic A Kenny; Genee Y Lee; Connie A Myers; Richard M Neve; Jeremy R Semeiks; Paul T Spellman; Katrin Lorenz; Eva H Lee; Mary Helen Barcellos-Hoff; Ole W Petersen; Joe W Gray; Mina J Bissell
Journal:  Mol Oncol       Date:  2007-06       Impact factor: 6.603

4.  The liquid overlay technique is the key to formation of co-culture spheroids consisting of primary osteoblasts, fibroblasts and endothelial cells.

Authors:  Wolfgang Metzger; Daniela Sossong; Annick Bächle; Norbert Pütz; Gunther Wennemuth; Tim Pohlemann; Martin Oberringer
Journal:  Cytotherapy       Date:  2011-05-27       Impact factor: 5.414

5.  Macrophage-Secreted TNFα and TGFβ1 Influence Migration Speed and Persistence of Cancer Cells in 3D Tissue Culture via Independent Pathways.

Authors:  Ran Li; Jess D Hebert; Tara A Lee; Hao Xing; Alexandra Boussommier-Calleja; Richard O Hynes; Douglas A Lauffenburger; Roger D Kamm
Journal:  Cancer Res       Date:  2016-11-21       Impact factor: 12.701

6.  Preclinical therapeutic response of residual metastatic disease is distinct from its primary tumor of origin.

Authors:  Chi-Ping Day; John Carter; Carrie Bonomi; Melinda Hollingshead; Glenn Merlino
Journal:  Int J Cancer       Date:  2011-04-20       Impact factor: 7.396

7.  Matrix crosslinking forces tumor progression by enhancing integrin signaling.

Authors:  Kandice R Levental; Hongmei Yu; Laura Kass; Johnathon N Lakins; Mikala Egeblad; Janine T Erler; Sheri F T Fong; Katalin Csiszar; Amato Giaccia; Wolfgang Weninger; Mitsuo Yamauchi; David L Gasser; Valerie M Weaver
Journal:  Cell       Date:  2009-11-25       Impact factor: 41.582

Review 8.  Engineered Models of Confined Cell Migration.

Authors:  Colin D Paul; Wei-Chien Hung; Denis Wirtz; Konstantinos Konstantopoulos
Journal:  Annu Rev Biomed Eng       Date:  2016-07-11       Impact factor: 9.590

9.  3D breast cancer microtissue reveals the role of tumor microenvironment on the transport and efficacy of free-doxorubicin in vitro.

Authors:  Virginia Brancato; Filomena Gioiella; Giorgia Imparato; Daniela Guarnieri; Francesco Urciuolo; Paolo A Netti
Journal:  Acta Biomater       Date:  2018-06-01       Impact factor: 8.947

10.  Normal and tumor-derived myoepithelial cells differ in their ability to interact with luminal breast epithelial cells for polarity and basement membrane deposition.

Authors:  Thorarinn Gudjonsson; Lone Rønnov-Jessen; René Villadsen; Fritz Rank; Mina J Bissell; Ole William Petersen
Journal:  J Cell Sci       Date:  2002-01-01       Impact factor: 5.285

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  23 in total

1.  Mammary Organoids and 3D Cell Cultures: Old Dogs with New Tricks.

Authors:  Jakub Sumbal; Zuzana Budkova; Gunnhildur Ásta Traustadóttir; Zuzana Koledova
Journal:  J Mammary Gland Biol Neoplasia       Date:  2020-11-18       Impact factor: 2.673

Review 2.  Perspectives for 3D-Bioprinting in Modeling of Tumor Immune Evasion.

Authors:  Rafał Staros; Agata Michalak; Kinga Rusinek; Krzysztof Mucha; Zygmunt Pojda; Radosław Zagożdżon
Journal:  Cancers (Basel)       Date:  2022-06-26       Impact factor: 6.575

3.  Anti-neoplastic action of Cimetidine/Vitamin C on histamine and the PI3K/AKT/mTOR pathway in Ehrlich breast cancer.

Authors:  Sherihan Salaheldin Abdelhamid Ibrahim; Sarah A Abd El-Aal; Ahmed M Reda; Samar El Achy; Yasmine Shahine
Journal:  Sci Rep       Date:  2022-07-07       Impact factor: 4.996

Review 4.  Monitoring and modulation of the tumor microenvironment for enhanced cancer modeling.

Authors:  Tristen Head; Nathaniel C Cady
Journal:  Exp Biol Med (Maywood)       Date:  2022-01-28

5.  Integrated analysis of single-cell and bulk RNA-sequencing identifies a signature based on B cell marker genes to predict prognosis and immunotherapy response in lung adenocarcinoma.

Authors:  Peng Song; Wenbin Li; Xiaoxuan Wu; Zhirong Qian; Jianming Ying; Shugeng Gao; Jie He
Journal:  Cancer Immunol Immunother       Date:  2022-02-13       Impact factor: 6.630

6.  NRAGE Confers Radiation Resistance in 2D and 3D Cell Culture and Poor Outcome in Patients With Esophageal Squamous Cell Carcinoma.

Authors:  Huandi Zhou; Guohui Wang; Zhiqing Xiao; Yu Yang; Zhesen Tian; Chen Gao; Xuetao Han; Wei Sun; Liubing Hou; Junling Liu; Xiaoying Xue
Journal:  Front Oncol       Date:  2022-04-01       Impact factor: 5.738

Review 7.  Harnessing Tissue Engineering Tools to Interrogate Host-Microbiota Crosstalk in Cancer.

Authors:  Barath Udayasuryan; Tam T D Nguyen; Daniel J Slade; Scott S Verbridge
Journal:  iScience       Date:  2020-11-30

Review 8.  Tumor-derived exosomal components: the multifaceted roles and mechanisms in breast cancer metastasis.

Authors:  Yufang Tan; Xiao Luo; Wenchang Lv; Weijie Hu; Chongru Zhao; Mingchen Xiong; Yi Yi; Dawei Wang; Yichen Wang; Haiping Wang; Yiping Wu; Qi Zhang
Journal:  Cell Death Dis       Date:  2021-05-26       Impact factor: 8.469

Review 9.  Immune System Effects on Breast Cancer.

Authors:  Jensen N Amens; Gökhan Bahçecioglu; Pinar Zorlutuna
Journal:  Cell Mol Bioeng       Date:  2021-06-03       Impact factor: 3.337

10.  Bioinformatics reveal macrophages marker genes signature in breast cancer to predict prognosis.

Authors:  Ying Li; Xin Zhao; Qiang Liu; Yujie Liu
Journal:  Ann Med       Date:  2021-12       Impact factor: 4.709

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