Literature DB >> 28298153

Exploring Drug Dosing Regimens In Vitro Using Real-Time 3D Spheroid Tumor Growth Assays.

Madhu Lal-Nag1, Lauren McGee1, Steven A Titus1, Kyle Brimacombe1, Sam Michael1, Gurusingham Sittampalam1, Marc Ferrer1.   

Abstract

Two-dimensional monolayer cell proliferation assays for cancer drug discovery have made the implementation of large-scale screens feasible but only seem to reflect a simplified view that oncogenes or tumor suppressor genes are the genetic drivers of cancer cell proliferation. However, there is now increased evidence that the cellular and physiological context in which these oncogenic events occur play a key role in how they drive tumor growth in vivo and, therefore, in how tumors respond to drug treatments. In vitro 3D spheroid tumor models are being developed to better mimic the physiology of tumors in vivo, in an attempt to improve the predictability and efficiency of drug discovery for the treatment of cancer. Here we describe the establishment of a real-time 3D spheroid growth, 384-well screening assay. The cells used in this study constitutively expressed green fluorescent protein (GFP), which enabled the real-time monitoring of spheroid formation and the effect of chemotherapeutic agents on spheroid size at different time points of sphere growth and drug treatment. This real-time 3D spheroid assay platform represents a first step toward the replication in vitro of drug dosing regimens being investigated in vivo. We hope that further development of this assay platform will allow the investigation of drug dosing regimens, efficacy, and resistance before preclinical and clinical studies.

Entities:  

Keywords:  3D; high throughput; phenotypic drug discovery; physiologically relevant

Mesh:

Substances:

Year:  2017        PMID: 28298153     DOI: 10.1177/2472555217698818

Source DB:  PubMed          Journal:  SLAS Discov        ISSN: 2472-5552            Impact factor:   3.341


  4 in total

1.  From 3D spheroids to tumor bearing mice: efficacy and distribution studies of trastuzumab-docetaxel immunoliposome in breast cancer.

Authors:  Anne Rodallec; Guillaume Sicard; Sarah Giacometti; Manon Carré; Bertrand Pourroy; Fanny Bouquet; Ariel Savina; Bruno Lacarelle; Joseph Ciccolini; Raphaelle Fanciullino
Journal:  Int J Nanomedicine       Date:  2018-10-23

2.  A Systematic Comparative Assessment of the Response of Ovarian Cancer Cells to the Chemotherapeutic Cisplatin in 3D Models of Various Structural and Biochemical Configurations-Does One Model Type Fit All?

Authors:  Priyanka Gupta; Aline Miller; Adedamola Olayanju; Thumuluru Kavitha Madhuri; Eirini Velliou
Journal:  Cancers (Basel)       Date:  2022-03-01       Impact factor: 6.575

3.  Multiparametric quantitative phase imaging for real-time, single cell, drug screening in breast cancer.

Authors:  Edward R Polanco; Tarek E Moustafa; Andrew Butterfield; Sandra D Scherer; Emilio Cortes-Sanchez; Tyler Bodily; Benjamin T Spike; Bryan E Welm; Philip S Bernard; Thomas A Zangle
Journal:  Commun Biol       Date:  2022-08-08

4.  Comparison of Cell and Organoid-Level Analysis of Patient-Derived 3D Organoids to Evaluate Tumor Cell Growth Dynamics and Drug Response.

Authors:  Seungil Kim; Sarah Choung; Ren X Sun; Nolan Ung; Natasha Hashemi; Emma J Fong; Roy Lau; Erin Spiller; Jordan Gasho; Jasmine Foo; Shannon M Mumenthaler
Journal:  SLAS Discov       Date:  2020-04-30       Impact factor: 3.341

  4 in total

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