Literature DB >> 22841689

In vivo biomarker expression patterns are preserved in 3D cultures of Prostate Cancer.

Louisa C E Windus1, Debra L Kiss, Tristan Glover, Vicky M Avery.   

Abstract

Here we report that Prostate Cancer (PCa) cell-lines DU145, PC3, LNCaP and RWPE-1 grown in 3D matrices in contrast to conventional 2D monolayers, display distinct differences in cell morphology, proliferation and expression of important biomarker proteins associated with cancer progression. Consistent with in vivo growth rates, in 3D cultures, all PCa cell-lines were found to proliferate at significantly lower rates in comparison to their 2D counterparts. Moreover, when grown in a 3D matrix, metastatic PC3 cell-lines were found to mimic more precisely protein expression patterns of metastatic tumour formation as found in vivo. In comparison to the prostate epithelial cell-line RWPE-1, metastatic PC3 cell-lines exhibited a down-regulation of E-cadherin and α6 integrin expression and an up-regulation of N-cadherin, Vimentin and β1 integrin expression and re-expressed non-transcriptionally active AR. In comparison to the non-invasive LNCaP cell-lines, PC3 cells were found to have an up-regulation of chemokine receptor CXCR4, consistent with a metastatic phenotype. In 2D cultures, there was little distinction in protein expression between metastatic, non-invasive and epithelial cells. These results suggest that 3D cultures are more representative of in vivo morphology and may serve as a more biologically relevant model in the drug discovery pipeline.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22841689     DOI: 10.1016/j.yexcr.2012.07.013

Source DB:  PubMed          Journal:  Exp Cell Res        ISSN: 0014-4827            Impact factor:   3.905


  13 in total

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Journal:  Differentiation       Date:  2017-07-20       Impact factor: 3.880

2.  A bioengineered heterotypic stroma-cancer microenvironment model to study pancreatic ductal adenocarcinoma.

Authors:  Cole R Drifka; Kevin W Eliceiri; Sharon M Weber; W John Kao
Journal:  Lab Chip       Date:  2013-10-07       Impact factor: 6.799

Review 3.  Chemokines and chemokine receptors as promoters of prostate cancer growth and progression.

Authors:  Nicole Salazar; Miguel Castellan; Samir S Shirodkar; Bal L Lokeshwar
Journal:  Crit Rev Eukaryot Gene Expr       Date:  2013       Impact factor: 1.807

4.  MiR-19b-3p and miR-101-3p as potential biomarkers for prostate cancer diagnosis and prognosis.

Authors:  Rocío B Duca; Cintia Massillo; Guillermo N Dalton; Paula L Farré; Karen D Graña; Kevin Gardner; Adriana De Siervi
Journal:  Am J Cancer Res       Date:  2021-06-15       Impact factor: 6.166

5.  Cellular Adhesion Promotes Prostate Cancer Cells Escape from Dormancy.

Authors:  Nazanin Ruppender; Sandy Larson; Bryce Lakely; Lori Kollath; Lisha Brown; Ilsa Coleman; Roger Coleman; Holly Nguyen; Peter S Nelson; Eva Corey; Linda A Snyder; Robert L Vessella; Colm Morrissey; Hung-Ming Lam
Journal:  PLoS One       Date:  2015-06-19       Impact factor: 3.240

6.  Three-Dimensional Microfluidic Tri-Culture Model of the Bone Marrow Microenvironment for Study of Acute Lymphoblastic Leukemia.

Authors:  Allison Bruce; Rebecca Evans; Ryan Mezan; Lin Shi; Blake S Moses; Karen H Martin; Laura F Gibson; Yong Yang
Journal:  PLoS One       Date:  2015-10-21       Impact factor: 3.240

7.  Bone-stromal cells up-regulate tumourigenic markers in a tumour-stromal 3D model of prostate cancer.

Authors:  Louisa C E Windus; Tristan T Glover; Vicky M Avery
Journal:  Mol Cancer       Date:  2013-09-30       Impact factor: 27.401

8.  Three-dimensional lung tumor microenvironment modulates therapeutic compound responsiveness in vitro--implication for drug development.

Authors:  Jason E Ekert; Kjell Johnson; Brandy Strake; Jose Pardinas; Stephen Jarantow; Robert Perkinson; David C Colter
Journal:  PLoS One       Date:  2014-03-17       Impact factor: 3.240

9.  Differentially expressed androgen-regulated genes in androgen-sensitive tissues reveal potential biomarkers of early prostate cancer.

Authors:  Dogus Murat Altintas; Nathalie Allioli; Myriam Decaussin; Simon de Bernard; Alain Ruffion; Jacques Samarut; Virginie Vlaeminck-Guillem
Journal:  PLoS One       Date:  2013-06-28       Impact factor: 3.240

10.  PCaAnalyser: a 2D-image analysis based module for effective determination of prostate cancer progression in 3D culture.

Authors:  Md Tamjidul Hoque; Louisa C E Windus; Carrie J Lovitt; Vicky M Avery
Journal:  PLoS One       Date:  2013-11-20       Impact factor: 3.240

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