Literature DB >> 27454169

Cancer drug discovery: recent innovative approaches to tumor modeling.

Carrie J Lovitt1, Todd B Shelper1, Vicky M Avery1.   

Abstract

INTRODUCTION: Cell culture models have been at the heart of anti-cancer drug discovery programs for over half a century. Advancements in cell culture techniques have seen the rapid evolution of more complex in vitro cell culture models investigated for use in drug discovery. Three-dimensional (3D) cell culture research has become a strong focal point, as this technique permits the recapitulation of the tumor microenvironment. Biologically relevant 3D cellular models have demonstrated significant promise in advancing cancer drug discovery, and will continue to play an increasing role in the future. AREAS COVERED: In this review, recent advances in 3D cell culture techniques and their application in tumor modeling and anti-cancer drug discovery programs are discussed. The topics include selection of cancer cells, 3D cell culture assays (associated endpoint measurements and analysis), 3D microfluidic systems and 3D bio-printing. EXPERT OPINION: Although advanced cancer cell culture models and techniques are becoming commonplace in many research groups, the use of these approaches has yet to be fully embraced in anti-cancer drug applications. Furthermore, limitations associated with analyzing information-rich biological data remain unaddressed.

Entities:  

Keywords:  3D bio-printing; 3D cell culture; 3D microfluidics; cancer drug discovery; high-content imaging and analysis; tumor modeling

Mesh:

Substances:

Year:  2016        PMID: 27454169     DOI: 10.1080/17460441.2016.1214562

Source DB:  PubMed          Journal:  Expert Opin Drug Discov        ISSN: 1746-0441            Impact factor:   6.098


  7 in total

1.  Three dimensional engineered models to study hypoxia biology in breast cancer.

Authors:  Vaishali Aggarwal; Oshin Miranda; Paul A Johnston; Shilpa Sant
Journal:  Cancer Lett       Date:  2020-06-20       Impact factor: 8.679

Review 2.  3D modeling in cancer studies.

Authors:  Oula El Atat; Zahra Farzaneh; Mahsa Pourhamzeh; Fatima Taki; Ralph Abi-Habib; Massoud Vosough; Mirvat El-Sibai
Journal:  Hum Cell       Date:  2021-11-10       Impact factor: 4.174

3.  Renal carcinoma/kidney progenitor cell chimera organoid as a novel tumorigenesis gene discovery model.

Authors:  Qi Xu; Sanna Junttila; Andreas Scherer; Khem Raj Giri; Oona Kivelä; Ilya Skovorodkin; Juha Röning; Susan E Quaggin; Hans-Peter Marti; Jingdong Shan; Anatoly Samoylenko; Seppo J Vainio
Journal:  Dis Model Mech       Date:  2017-12-19       Impact factor: 5.758

4.  Cell Counting and Viability Assessment of 2D and 3D Cell Cultures: Expected Reliability of the Trypan Blue Assay.

Authors:  Filippo Piccinini; Anna Tesei; Chiara Arienti; Alessandro Bevilacqua
Journal:  Biol Proced Online       Date:  2017-07-20       Impact factor: 3.244

Review 5.  Current Screening Methodologies in Drug Discovery for Selected Human Diseases.

Authors:  Olga Maria Lage; María C Ramos; Rita Calisto; Eduarda Almeida; Vitor Vasconcelos; Francisca Vicente
Journal:  Mar Drugs       Date:  2018-08-14       Impact factor: 5.118

6.  Establishment of an immortalized human subglottic epithelial cell line.

Authors:  Jason Powell; Bernard Verdon; Janet A Wilson; A John Simpson; Jeffery Pearson; Chris Ward
Journal:  Laryngoscope       Date:  2019-01-08       Impact factor: 2.970

7.  Carboplatin response in preclinical models for ovarian cancer: comparison of 2D monolayers, spheroids, ex vivo tumors and in vivo models.

Authors:  Melica Nourmoussavi Brodeur; Kayla Simeone; Kim Leclerc-Deslauniers; Hubert Fleury; Euridice Carmona; Diane M Provencher; Anne-Marie Mes-Masson
Journal:  Sci Rep       Date:  2021-09-14       Impact factor: 4.379

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.