New in vitro system to predict chemotherapeutic efficacy of drug combinations in fresh tumor samples

Author:

Kischkel Frank Christian1,Eich Julia1,Meyer Carina I.1,Weidemüller Paula1,Krapfl Jens1,Yassin-Kelepir Rauaa1,Job Laura1,Fraefel Marius1,Braicu Ioana2,Kopp-Schneider Annette3,Sehouli Jalid2,De Wilde Rudy Leon4

Affiliation:

1. TherapySelect, Heidelberg, Germany

2. Gynecology Department, Charité Berlin, Virchow Campus Berlin, Germany

3. Division of Biostatistics, German Cancer Research Center, Heidelberg, Germany

4. University Hospital for Gynecology, Carl von Ossietzky University Oldenburg, Germany

Abstract

Background To find the best individual chemotherapy for cancer patients, the efficacy of different chemotherapeutic drugs can be predicted by pretesting tumor samples in vitro via the chemotherapy-resistance (CTR)-Test®. Although drug combinations are widely used among cancer therapy, so far only single drugs are tested by this and other tests. However, several first line chemotherapies are combining two or more chemotherapeutics, leading to the necessity of drug combination testing methods. Methods We established a system to measure and predict the efficacy of chemotherapeutic drug combinations with the help of the Loewe additivity concept in combination with the CTR-test. A combination is measured by using half of the monotherapy’s concentration of both drugs simultaneously. With this method, the efficacy of a combination can also be calculated based on single drug measurements. Results The established system was tested on a data set of ovarian carcinoma samples using the combination carboplatin and paclitaxel and confirmed by using other tumor species and chemotherapeutics. Comparing the measured and the calculated values of the combination testings revealed a high correlation. Additionally, in 70% of the cases the measured and the calculated values lead to the same chemotherapeutic resistance category of the tumor. Conclusion Our data suggest that the best drug combination consists of the most efficient single drugs and the worst drug combination of the least efficient single drugs. Our results showed that single measurements are sufficient to predict combinations in specific cases but there are exceptions in which it is necessary to measure combinations, which is possible with the presented system.

Funder

German Ministry of Education and Research

German Ministry of Economic Affairs and Energy

Publisher

PeerJ

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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