Literature DB >> 28324660

Single and Combination Drug Screening with Aqueous Biphasic Tumor Spheroids.

Pradip Shahi Thakuri1, Hossein Tavana1.   

Abstract

Spheroids of cancer cells represent a physiologic model of solid tumors for cancer drug screening. Despite this known benefit, difficulties with generating large quantities of uniformly sized spheroids in standard plates, individually addressing spheroids with drug compounds, and quantitatively analyzing responses of cancer cells have hindered the use of spheroids in high-throughput screening applications. Recently, we addressed this challenge by using an aqueous two-phase system technology to generate a spheroid within an aqueous drop immersed in a second, immiscible aqueous phase. Integrating this approach with robotics resulted in convenient formation, maintenance, and drug treatment of spheroids. Here, we demonstrate the feasibility of high-throughput compound screening against colon cancer spheroids using 25 anticancer compounds. Using a strictly standardized mean difference and based on a preliminary testing with each compound, we select effective compounds for further dose-response testing. Finally, we use molecular inhibitors to target upregulated protein kinases and use them for drug combination studies against spheroids. We quantitatively analyze the combination treatment results using statistical metrics to identify synergy between pairs of inhibitors in compromising viability of colon cancer cells. This study demonstrates the utility of our spheroid culture technology for identification of effective drug compounds, dose-response analysis, and combination drug treatments.

Entities:  

Keywords:  aqueous two-phase system; combination treatment; drug screening; tumor spheroid

Mesh:

Substances:

Year:  2017        PMID: 28324660     DOI: 10.1177/2472555217698817

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


  8 in total

Review 1.  Biomaterials-Based Approaches to Tumor Spheroid and Organoid Modeling.

Authors:  Pradip Shahi Thakuri; Chun Liu; Gary D Luker; Hossein Tavana
Journal:  Adv Healthc Mater       Date:  2017-12-04       Impact factor: 9.933

2.  Modeling Adaptive Resistance of KRAS Mutant Colorectal Cancer to MAPK Pathway Inhibitors with a Three-Dimensional Tumor Model.

Authors:  Pradip Shahi Thakuri; Astha Lamichhane; Sunil Singh; Megha Gupta; Gary D Luker; Hossein Tavana
Journal:  ACS Pharmacol Transl Sci       Date:  2020-10-09

3.  Quantitative Size-Based Analysis of Tumor Spheroids and Responses to Therapeutics.

Authors:  Pradip Shahi Thakuri; Megha Gupta; Madison Plaster; Hossein Tavana
Journal:  Assay Drug Dev Technol       Date:  2019-04       Impact factor: 1.738

4.  Therapeutic Targeting of Cancer Stem Cells Prevents Resistance of Colorectal Cancer Cells to MEK Inhibition.

Authors:  Astha Lamichhane; Pradip Shahi Thakuri; Sunil Singh; Pouria Rafsanjani Nejad; Jacob Heiss; Gary D Luker; Hossein Tavana
Journal:  ACS Pharmacol Transl Sci       Date:  2022-08-25

5.  A Mechanism-Based Targeted Screen To Identify Epstein-Barr Virus-Directed Antiviral Agents.

Authors:  Xiaofan Li; Ibukun A Akinyemi; Jeehyun Karen You; Mohammad Ali Rezaei; Chenglong Li; Michael T McIntosh; Maurizio Del Poeta; Sumita Bhaduri-McIntosh
Journal:  J Virol       Date:  2020-10-14       Impact factor: 5.103

Review 6.  Searching Synergistic Dose Combinations for Anticancer Drugs.

Authors:  Zuojing Yin; Zeliang Deng; Wenyan Zhao; Zhiwei Cao
Journal:  Front Pharmacol       Date:  2018-05-22       Impact factor: 5.810

Review 7.  Modeling adaptive drug resistance of colorectal cancer and therapeutic interventions with tumor spheroids.

Authors:  Astha Lamichhane; Pradip Shahi Thakuri; Pouria Rafsanjani Nejad; Hossein Tavana
Journal:  Exp Biol Med (Maywood)       Date:  2021-06-08

8.  Horizontal Combination of MEK and PI3K/mTOR Inhibition in BRAF Mutant Tumor Cells with or without Concomitant PI3K Pathway Mutations.

Authors:  Dominika Rittler; Eszter Molnár; Marcell Baranyi; Tamás Garay; Luca Hegedűs; Clemens Aigner; József Tóvári; József Tímár; Balázs Hegedűs
Journal:  Int J Mol Sci       Date:  2020-10-16       Impact factor: 5.923

  8 in total

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