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 a...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2012-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC3517625?pdf=render |
| _version_ | 1811270349368590336 |
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| author | Saskia Preissner Mathias Dunkel Michael F Hoffmann Sarah C Preissner Nikolai Genov Wen Wei Rong Robert Preissner Karlheinz Seeger |
| author_facet | Saskia Preissner Mathias Dunkel Michael F Hoffmann Sarah C Preissner Nikolai Genov Wen Wei Rong Robert Preissner Karlheinz Seeger |
| author_sort | Saskia Preissner |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T21:59:29Z |
| format | Article |
| id | doaj.art-20ea04f4d348434683ded95d4fd6dab6 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-12T21:59:29Z |
| publishDate | 2012-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-20ea04f4d348434683ded95d4fd6dab62022-12-22T03:15:11ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-01712e5102010.1371/journal.pone.0051020Drug cocktail optimization in chemotherapy of cancer.Saskia PreissnerMathias DunkelMichael F HoffmannSarah C PreissnerNikolai GenovWen Wei RongRobert PreissnerKarlheinz SeegerBACKGROUND: 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.http://europepmc.org/articles/PMC3517625?pdf=render |
| spellingShingle | Saskia Preissner Mathias Dunkel Michael F Hoffmann Sarah C Preissner Nikolai Genov Wen Wei Rong Robert Preissner Karlheinz Seeger Drug cocktail optimization in chemotherapy of cancer. PLoS ONE |
| title | Drug cocktail optimization in chemotherapy of cancer. |
| title_full | Drug cocktail optimization in chemotherapy of cancer. |
| title_fullStr | Drug cocktail optimization in chemotherapy of cancer. |
| title_full_unstemmed | Drug cocktail optimization in chemotherapy of cancer. |
| title_short | Drug cocktail optimization in chemotherapy of cancer. |
| title_sort | drug cocktail optimization in chemotherapy of cancer |
| url | http://europepmc.org/articles/PMC3517625?pdf=render |
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