Development of a Rapid In Vitro Screening Assay Using Metabolic Inhibitors to Detect Highly Selective Anticancer

Felagot A Abebe1, Megan D Hopkins1, Suraj N Vodnala1

  • 1Department of Chemistry and Biochemistry, The University of Tulsa, 800 South Tucker Drive, Tulsa, Oklahoma 74104, United States.

ACS Omega
|July 26, 2021
PubMed

Insights

This study introduces a rapid cell viability assay for drug discovery. The new method identifies compounds missed by traditional assays, especially when combined with metabolic inhibitors for pancreatic cancer treatment.

Area of Science:

  • Pharmacology
  • Drug Discovery
  • Cancer Research

Background:

  • Traditional cell viability assays (24-72h) miss compounds active without toxicity or requiring synergistic additives.
  • Existing methods may overlook potential drug candidates due to limitations in screening duration and compound interaction detection.

Purpose of the Study:

  • To develop a rapid (1-2h) cell viability screening technique for identifying novel drug compounds.
  • To detect compounds missed by traditional cytotoxicity screening, particularly those effective with synergistic additives.
  • To evaluate the efficacy of novel compounds and metabolic inhibitors in various cancer cell lines.

Main Methods:

  • Utilized a commercially available cell viability kit (CellTiter-Glo) for rapid screening.
  • Screened 30 novel compounds and two metabolic inhibitors across 11 mammalian cell lines.
  • Incorporated metabolic inhibitors (e.g., 2-deoxyglucose) during the initial screening phase.

Main Results:

  • Identified compounds not detected by traditional cytotoxicity screening methods.
  • Observed selective activity of certain compounds in combination with 2-deoxyglucose against a pancreatic cancer cell line.
  • Demonstrated the effectiveness of the rapid assay in identifying potential drug candidates.

Conclusions:

  • The rapid (1-2h) assay is a sensitive tool for drug candidate identification.
  • Including metabolic inhibitors in initial screening enhances the detection of overlooked drug candidates.
  • This approach offers a valuable alternative to traditional methods for drug discovery, especially in oncology.

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