Separating Response of Tumor and non-Tumor Cells to Drug


Journal

Anticancer research
ISSN: 1791-7530
Titre abrégé: Anticancer Res
Pays: Greece
ID NLM: 8102988

Informations de publication

Date de publication:
Apr 2019
Historique:
received: 19 02 2019
revised: 21 03 2019
accepted: 21 03 2019
entrez: 7 4 2019
pubmed: 7 4 2019
medline: 24 4 2019
Statut: ppublish

Résumé

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. 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. 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. 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.

Sections du résumé

BACKGROUND/AIM OBJECTIVE
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 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 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 CONCLUSIONS
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.

Identifiants

pubmed: 30952717
pii: 39/4/1777
doi: 10.21873/anticanres.13284
doi:

Substances chimiques

Antineoplastic Agents 0
Biomarkers, Tumor 0
Vemurafenib 207SMY3FQT
BRAF protein, human EC 2.7.11.1
Proto-Oncogene Proteins B-raf EC 2.7.11.1

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1777-1783

Informations de copyright

Copyright© 2019, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Auteurs

Markus Kleinpoppen (M)

Division of Plastic, Reconstructive and Aesthetic Surgery, Center of Surgical Sciences, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Christoph Moebius (C)

Division of Plastic, Reconstructive and Aesthetic Surgery, Center of Surgical Sciences, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Katharina Grupp (K)

Division of Plastic, Reconstructive and Aesthetic Surgery, Center of Surgical Sciences, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Lan Kluwe (L)

Department of Maxillofacial Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany kluwe@uke.de.
Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Marco Blessmann (M)

Division of Plastic, Reconstructive and Aesthetic Surgery, Center of Surgical Sciences, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

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Classifications MeSH