Literature DB >> 29318551

Analysis of Invasive Activity of CAF Spheroids into Three Dimensional (3D) Collagen Matrices.

María Ángeles Villaronga1, Saúl Álvarez Teijeiro2, Francisco Hermida-Prado2, Marta Garzón-Arango2, Victoria Sanz-Moreno3, Juana María García-Pedrero4,5.   

Abstract

Tumor growth and progression is the result of a complex process controlled not only by malignant cancer cells but also by the surrounding tumor microenvironment (TME). Cancer associated fibroblasts (CAFs), the most abundant cellular component of TME, play an active role in tumor invasion and metastasis by promoting cancer cell invasion through cell-cell interactions and secretion of pro-invasive factors such as extracellular matrix (ECM)-degrading proteases. Due to their tumor-promoting activities, there is an emerging interest in investigating CAFs biology and its potential as drug targets for cancer therapies. Here we describe an easy and highly reproducible quantitative method to analyze CAF invasive activity by forming multicellular spheroids embedded into a three-dimensional (3D) matrix that mimics in vivo ECM. Subsequently, invasion is monitored over time using a time-lapse microscope. We also provide an automated image analysis system that enables the rapid quantification of the spheroid area increase (invasive area) over time. The use of a 96-well plate format with one CAF spheroid per well and the automated analysis provides a method suitable for drug screening test, such as protease inhibitors.

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Keywords:  Cancer associated fibroblasts; Collagen; Extracellular matrix; Invasive activity; Proteases; Spheroids

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Year:  2018        PMID: 29318551     DOI: 10.1007/978-1-4939-7595-2_14

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  1 in total

1.  Development of a CAFs-related gene signature to predict survival and drug response in bladder cancer.

Authors:  Zhao Zhang; Zhijuan Liang; Dan Li; Liping Wang; Yuanbin Chen; Ye Liang; Wei Jiao; Haitao Niu
Journal:  Hum Cell       Date:  2022-01-19       Impact factor: 4.174

  1 in total

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