Literature DB >> 31128292

3D gastrointestinal models and organoids to study metabolism in human colon cancer.

Catarina Silva-Almeida1, Marie-Ann Ewart2, Colin Wilde1.   

Abstract

Recent advances in the field of cancer metabolism raised awareness for the importance of the tumour microenvironment in tumour growth and progression. The initial theory by Heinrich Warburg was that cancer cells had a deficient oxidative respiration and thus had to perform aerobic glycolysis to produce energy. However, further research suggested that there is a metabolic reprogramming within the tumour microenvironment, controlled by communication between tumour and stromal cells. The importance of this communication exposes the need to use complex models in cancer research. Until recently, classic cell models included immortalized 2D cell lines or patient-derived tumour xenografts. Despite having contributed to many discoveries, these models present many limitations. Improved models are now being developed using 3D cell culture technology. These models are more physiologically relevant allowing the co-culture of different cells types and establishing a gradient concentration of solutes. Recent developments in organoid technology contributed largely to the expansion of 3D cell technology. Organoids can be developed from different tissues including tumours, representing the cell population and spatial organization of the tissue of origin. In the field of cancer metabolism, the interaction of different cell types, the stroma, and the different solutes and oxygen concentrations are crucial parameters. Current models to study metabolism either include only one cell population or are unable to represent solute/oxygen gradients or to collect samples in a proficient manner. The characteristics of organoid culture thus makes them a potent model to use in metabolic studies, drug development, disease model or even personalized medicine.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  3D models; Cancer; Colorectal; Metabolism; Organoids

Mesh:

Year:  2019        PMID: 31128292     DOI: 10.1016/j.semcdb.2019.05.019

Source DB:  PubMed          Journal:  Semin Cell Dev Biol        ISSN: 1084-9521            Impact factor:   7.727


  6 in total

1.  eIF4E S209 phosphorylation licenses myc- and stress-driven oncogenesis.

Authors:  Hang Ruan; Xiangyun Li; Xiang Xu; Brian J Leibowitz; Jingshan Tong; Lujia Chen; Luoquan Ao; Wei Xing; Jianhua Luo; Yanping Yu; Robert E Schoen; Nahum Sonenberg; Xinghua Lu; Lin Zhang; Jian Yu
Journal:  Elife       Date:  2020-11-02       Impact factor: 8.140

Review 2.  Amino Acid Transporters on the Guard of Cell Genome and Epigenome.

Authors:  Uğur Kahya; Ayşe Sedef Köseer; Anna Dubrovska
Journal:  Cancers (Basel)       Date:  2021-01-02       Impact factor: 6.639

3.  TRAP1 regulates the response of colorectal cancer cells to hypoxia and inhibits ribosome biogenesis under conditions of oxygen deprivation.

Authors:  Giuseppina Bruno; Valeria Li Bergolis; Annamaria Piscazzi; Fabiana Crispo; Valentina Condelli; Pietro Zoppoli; Francesca Maddalena; Michele Pietrafesa; Guido Giordano; Danilo Swann Matassa; Franca Esposito; Matteo Landriscina
Journal:  Int J Oncol       Date:  2022-05-11       Impact factor: 5.884

Review 4.  Reconstructing the tumor architecture into organoids.

Authors:  Zhimin Luo; Xingwu Zhou; Kalpana Mandal; Na He; Wally Wennerberg; Moyuan Qu; Xing Jiang; Wujin Sun; Ali Khademhosseini
Journal:  Adv Drug Deliv Rev       Date:  2021-06-19       Impact factor: 17.873

5.  Organoids for toxicology and genetic toxicology: applications with drugs and prospects for environmental carcinogenesis.

Authors:  Angela L Caipa Garcia; Volker M Arlt; David H Phillips
Journal:  Mutagenesis       Date:  2022-05-04       Impact factor: 2.954

6.  A Perspective on Expanding Our Understanding of Cancer Treatments by Integrating Approaches from the Biological and Physical Sciences.

Authors:  Emma J Fong; Carly Strelez; Shannon M Mumenthaler
Journal:  SLAS Discov       Date:  2020-04-16       Impact factor: 3.341

  6 in total

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