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01.03.2012 | Original Article | Ausgabe 3/2012

Cancer Chemotherapy and Pharmacology 3/2012

In vitro evaluation of clinical activity and toxicity of anticancer drugs using tumor cells from patients and cells representing normal tissues

Zeitschrift:
Cancer Chemotherapy and Pharmacology > Ausgabe 3/2012
Autoren:
Caroline Haglund, Anna Åleskog, Peter Nygren, Joachim Gullbo, Martin Höglund, Malin Wickström, Rolf Larsson, Elin Lindhagen
Wichtige Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1007/​s00280-011-1746-1) contains supplementary material, which is available to authorized users.

Abstract

Purpose

The aim of this study was to evaluate a phenotypic cell panel with tumor cells from various patients and normal cells for preclinical profiles of antitumor efficacy and toxicity of anticancer drugs.

Methods

The antitumor activity of fourteen anticancer drugs was tested in over one hundred tumor samples from patients with solid or hematological malignancies. Drug activity against four normal cell types was used for the assessment of normal tissue toxicity. In vitro activity of the drugs was compared with indications approved by the Food and Drug Administration and established adverse event profiles.

Results

In general, in vitro drug activity in tumor cells from patients reflected known clinical activity of the drugs investigated. For example, the clinical activity of imatinib in chronic myeloid leukemia was clearly detected in the tumor panel. Further, and in accordance with clinical use, cisplatin and bortezomib showed high activity in ovarian cancer and myeloma samples, respectively. The normal cell models roughly reflected known clinical toxicity profiles and were able to detect differences in therapeutic index, e.g., between targeted drugs and classical cytotoxic agents. For example, the high tolerability of imatinib and the well-known renal toxicity of cisplatin were demonstrated.

Conclusions

In preclinical drug development, primary tumor cells from patients can be used for the prediction of cancer diagnosis–specific activity and may aid in the selection of diagnoses for clinical trials. By using tumor and toxicity panels together, information about therapeutic index may be derived, which may be useful when choosing among drug candidates with similar tumor effects.

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