Blogger's Note: focus is on leukemia however many drugs discussed are used in other cancers including solid tumors
PLOS ONE: Drug Cocktail Optimization in Chemotherapy of Cancer
Background
In
general, drug metabolism has to be considered to avoid adverse effects
and ineffective therapy. In particular, chemotherapeutic drug cocktails
strain drug metabolizing enzymes especially the cytochrome P450 family
(CYP). Furthermore, a number of important chemotherapeutic drugs such as
cyclophosphamide, ifosfamide, tamoxifen or procarbazine are
administered as prodrugs and have to be activated by CYP. Therefore, the
genetic variability of these enzymes should be taken into account to
design appropriate therapeutic regimens to avoid inadequate drug
administration, toxicity and inefficiency.
Objective
The aim of this work was to find drug interactions and to avoid side effects or ineffective therapy in chemotherapy.
Data sources and methods
Information
on drug administration in the therapy of
leukemia and their drug
metabolism was collected from scientific literature and various web
resources. We carried out an automated textmining approach. Abstracts of
PubMed were filtered for relevant articles using specific keywords.
Abstracts were automatically screened for antineoplastic drugs and their
synonyms in combination with a set of human CYPs in title or abstract.
Results
We
present a comprehensive analysis of over 100 common cancer treatment
regimens regarding drug-drug interactions and present alternatives
avoiding CYP overload. Typical concomitant medication, e.g. antiemetics
or antibiotics is a preferred subject to improvement. A webtool, which
allows drug cocktail optimization was developed and is publicly
available on
http://bioinformatics.charite.de/chemotherapy.
Editor: Daotai Nie,
Southern Illinois University School of Medicine, United States of America
Received: August 6, 2012;
Accepted: October 29, 2012;
Published: December 7, 2012
Funding: This
work was supported by Berliner Krebsgeselleschaft, DFG Graduate School
1776, BMBF MedSys, EU SynSys. The funders had no role in study design,
data collection and analysis, decision to publish, or preparation of the
manuscript.