Literature DB >> 34761350

3D modeling in cancer studies.

Oula El Atat1, Zahra Farzaneh2, Mahsa Pourhamzeh2,3, Fatima Taki1, Ralph Abi-Habib1, Massoud Vosough4, Mirvat El-Sibai5.   

Abstract

The tumor microenvironment contributes significantly to tumor initiation, progression, and resistance to chemotherapy. Much of our understanding of the tumor and its microenvironment is developed using various methods of cell culture. Throughout the last two decades, research has increasingly shown that 3D cell culture systems can remarkably recapitulate the complexity of tumor architecture and physiology compared to traditional 2D models. Unlike the flat culture system, these novel models enabled more cell-cell and cell-extracellular matrix interactions. By mimicking in vivo microenvironment, 3D culture systems promise to become accurate tools ready to be used in diagnosis, drug screening, and personalized medicine. In this review, we discussed the importance of 3D culture in simulating the tumor microenvironment and focused on the effects of cancer cell-microenvironment interactions on cancer behavior, resistance, proliferation, and metastasis. Finally, we assessed the role of 3D cell culture systems in the contexts of drug screening. 2D culture system is used to study cancer cell growth, progression, behavior, and drug response. It provides contact between cells and supports paracrine crosstalk between host cells and cancer cells. However, this system fails to simulate the architecture and the physiological aspects of in vivo tumor microenvironment due to the absence of cell-cell/ cell-ECM interactions as well as unlimited access to O2 and nutrients, and the absence of tumor heterogeneity. Recently advanced research has led researchers to generate 3D culture system that can better recapitulate the in vivo environment by providing hypoxic medium, facilitating cell-cell and cell-ECM, interactions, and recapitulating heterogeneity of the tumor. Several approaches are used to maintain and expand cancer cells in 3D culture systems such as tumor spheroids (cell aggregate that mimics the in vivo growth of tumor cells), scaffold-based approaches, bioreactors, microfluidic derives, and organoids. 3D systems are currently used for disease modeling and pre-clinical drug testing.
© 2021. The Author(s) under exclusive licence to Japan Human Cell Society.

Entities:  

Keywords:  3D culture system; Cancer cells; Cell–cell interaction; Cell–extracellular matrix interaction; Modeling cancer organoids

Mesh:

Substances:

Year:  2021        PMID: 34761350     DOI: 10.1007/s13577-021-00642-9

Source DB:  PubMed          Journal:  Hum Cell        ISSN: 0914-7470            Impact factor:   4.174


  89 in total

1.  Engineering gene expression and protein synthesis by modulation of nuclear shape.

Authors:  Carson H Thomas; Joel H Collier; Charles S Sfeir; Kevin E Healy
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-12       Impact factor: 11.205

Review 2.  Disease Modeling in Stem Cell-Derived 3D Organoid Systems.

Authors:  Devanjali Dutta; Inha Heo; Hans Clevers
Journal:  Trends Mol Med       Date:  2017-03-21       Impact factor: 11.951

Review 3.  Cell line-based platforms to evaluate the therapeutic efficacy of candidate anticancer agents.

Authors:  Sreenath V Sharma; Daniel A Haber; Jeff Settleman
Journal:  Nat Rev Cancer       Date:  2010-03-19       Impact factor: 60.716

Review 4.  Cancer-associated fibroblasts in tumor microenvironment - Accomplices in tumor malignancy.

Authors:  Zehuan Liao; Zhen Wei Tan; Pengcheng Zhu; Nguan Soon Tan
Journal:  Cell Immunol       Date:  2018-02-13       Impact factor: 4.868

Review 5.  Cancer drug discovery: recent innovative approaches to tumor modeling.

Authors:  Carrie J Lovitt; Todd B Shelper; Vicky M Avery
Journal:  Expert Opin Drug Discov       Date:  2016-09       Impact factor: 6.098

Review 6.  Control of stem cell fate by physical interactions with the extracellular matrix.

Authors:  Farshid Guilak; Daniel M Cohen; Bradley T Estes; Jeffrey M Gimble; Wolfgang Liedtke; Christopher S Chen
Journal:  Cell Stem Cell       Date:  2009-07-02       Impact factor: 24.633

Review 7.  Three-dimensional models of cancer for pharmacology and cancer cell biology: capturing tumor complexity in vitro/ex vivo.

Authors:  John A Hickman; Ralph Graeser; Ronald de Hoogt; Suzana Vidic; Catarina Brito; Matthias Gutekunst; Heiko van der Kuip
Journal:  Biotechnol J       Date:  2014-09       Impact factor: 4.677

Review 8.  Patient-derived tumor xenografts: transforming clinical samples into mouse models.

Authors:  Despina Siolas; Gregory J Hannon
Journal:  Cancer Res       Date:  2013-06-03       Impact factor: 12.701

Review 9.  Advances in 3D cell culture technologies enabling tissue-like structures to be created in vitro.

Authors:  Eleanor Knight; Stefan Przyborski
Journal:  J Anat       Date:  2014-11-20       Impact factor: 2.610

Review 10.  A framework for advancing our understanding of cancer-associated fibroblasts.

Authors:  Erik Sahai; Igor Astsaturov; Edna Cukierman; David G DeNardo; Mikala Egeblad; Ronald M Evans; Douglas Fearon; Florian R Greten; Sunil R Hingorani; Tony Hunter; Richard O Hynes; Rakesh K Jain; Tobias Janowitz; Claus Jorgensen; Alec C Kimmelman; Mikhail G Kolonin; Robert G Maki; R Scott Powers; Ellen Puré; Daniel C Ramirez; Ruth Scherz-Shouval; Mara H Sherman; Sheila Stewart; Thea D Tlsty; David A Tuveson; Fiona M Watt; Valerie Weaver; Ashani T Weeraratna; Zena Werb
Journal:  Nat Rev Cancer       Date:  2020-01-24       Impact factor: 60.716

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  4 in total

1.  Lipid droplets and perilipins in canine osteosarcoma. Investigations on tumor tissue, 2D and 3D cell culture models.

Authors:  N Leitner; J Hlavatý; R Ertl; S Gabner; A Fuchs-Baumgartinger; Ingrid Walter
Journal:  Vet Res Commun       Date:  2022-07-14       Impact factor: 2.816

2.  Hypoxia Differently Affects TGF-β2-Induced Epithelial Mesenchymal Transitions in the 2D and 3D Culture of the Human Retinal Pigment Epithelium Cells.

Authors:  Soma Suzuki; Tatsuya Sato; Megumi Watanabe; Megumi Higashide; Yuri Tsugeno; Araya Umetsu; Masato Furuhashi; Yosuke Ida; Fumihito Hikage; Hiroshi Ohguro
Journal:  Int J Mol Sci       Date:  2022-05-13       Impact factor: 6.208

Review 3.  Engineering complexity in human tissue models of cancer.

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

4.  Oxytocin accelerates tight junction formation and impairs cellular migration in 3D spheroids: evidence from Gapmer-induced exon skipping.

Authors:  Benjamin Jurek; Lucia Denk; Nicole Schäfer; Mohammad Saied Salehi; Sareh Pandamooz; Silke Haerteis
Journal:  Front Cell Neurosci       Date:  2022-10-03       Impact factor: 6.147

  4 in total

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