Abstract
Personalized cancer medicine aims to develop individualized treatment options adapted
to factors relevant for the prognosis of each patient. Molecular biomarkers are required
to predict the likelihood of an individual tumor's responsiveness or of toxicity in
normal organs and to advise optimized treatments with improved efficacy at reduced
side effects for each cancer patient. In the present review, we present a concept,
which takes advantage of methods of molecular diagnostics to identify predictive markers
at the DNA, mRNA, and protein levels. Markers with prognostic value concerning treatment
response and patient survival can then be used as targets to develop optimized drugs.
We focus on three examples to illustrate this strategy: (i) chemoselective treatment
of tumors with 9p21 deletion by L-alanosine, (ii) treatment of multidrug-resistant P-glycoprotein-expressing tumor
cells by non-cross-resistant natural products or by inhibitors of P-glycoprotein to
overcome multidrug resistance, and (iii) natural products that inhibit the epidermal
growth factor receptor (EGFR) in EGFR-overexpressing tumor cells.
Key words
chemotherapy - comparative genomic hybridization - drug resistance - pharmacogenomics
- pharmacognosy - traditional Chinese medicine
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New glycosides from Tetracentron sinense and their cytotoxic activity.
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Antiviral Res.
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Antiviral Res.
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Planta Med.
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Anti-cancer natural product library from traditional Chinese medicine.
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An update on overcoming MDR1-mediated multidrug resistance in cancer chemotherapy.
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A novel copper complex induces ROS generation in doxorubicin resistant Ehrlich ascitis
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Overcoming drug-resistant cancer by a newly developed copper chelate through host-protective
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Clin Cancer Res.
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Thomas Efferth
Department of Pharmaceutical Biology
Institute of Pharmacy and Biochemistry
University of Mainz
Staudinger Weg 5
55128 Mainz
Germany
Telefon: + 49 6 13 13 92 57 51
Fax: + 49 6 13 13 92 37 52
eMail: efferth@uni-mainz.de