Literature DB >> 30952717

Separating Response of Tumor and non-Tumor Cells to Drug In Vitro by Quantifying a Mutation.

Markus Kleinpoppen1, Christoph Moebius1, Katharina Grupp1, Lan Kluwe2,3, Marco Blessmann1.   

Abstract

BACKGROUND/AIM: Conventional in vitro assays measure the effect of drugs on total cells, while separating the effect to those on tumor and non-tumor cells is important for assessing drug specificity. Our aim was to evaluate the feasibility of separating the efficacy of vemurafenib on tumor and non-tumor cells in a mixed culture.
MATERIALS AND METHODS: Melanoma A2058 cells and CCD18Co non-tumor cells were mixed and treated with vemurafenib. DNA was subjected to digital PCR to determine the ratio of the mutant 1799A to the wild-type 1799T alleles and viabilities of total cells were subsequently calculated as percentages of tumor and non-tumor cells.
RESULTS: The set-up proportion of tumor cells correlated well with the calculated one. The calculated viability of tumor cells decreased with increasing doses of vemurafenib while that of the non-tumor cells remained rather constant. Variability of digital PCR data was high.
CONCLUSION: Using the BRAF mutation 1799T>A to separate the response of tumor and non-tumor cells to a drug, such as vemurafenib, is feasible, supporting a foundation for a genetic in vitro tool for testing drug efficacy and specificity. Copyright
© 2019, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Entities:  

Keywords:  BRAF; digital PCR; melanoma; mutation; mutation-quantification

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Year:  2019        PMID: 30952717     DOI: 10.21873/anticanres.13284

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  1 in total

1.  Two simple and inexpensive methods for preparing DNA suitable for digital PCR from a small number of cells in 96-well plates.

Authors:  Ziang Zou; Linna Guo; Parimah Ahmadi; Philip Hartjen; Martin Gosau; Ralf Smeets; Lan Kluwe
Journal:  J Clin Lab Anal       Date:  2020-08-05       Impact factor: 2.352

  1 in total

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