Phytochemistry and pharmacogenomics of natural products derived from traditional Chinese medicine and Chinese materia medica with activity against tumor cells
- Publication type:
- Journal article
- Metadata:
-
- Autoren
- Thomas Efferth
- Stefan Kah
- Kerstin Paulus
- Michael Adams
- Rolf Rauh
- Herbert Boechzelt
- Xiaojiang Hao
- Bernd Kaina
- Rudolf Bauer
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000252580900016&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.1158/1535-7163.MCT-07-0073
- eISSN
- 1538-8514
- Externe Identifier
- Clarivate Analytics Document Solution ID: 254IS
- PubMed Identifier: 18202018
- ISSN
- 1535-7163
- Ausgabe der Veröffentlichung
- 1
- Zeitschrift
- MOLECULAR CANCER THERAPEUTICS
- Paginierung
- 152 - 161
- Datum der Veröffentlichung
- 2008
- Status
- Published
- Titel
- Phytochemistry and pharmacogenomics of natural products derived from traditional Chinese medicine and Chinese materia medica with activity against tumor cells
- Sub types
- Article
- Ausgabe der Zeitschrift
- 7
Data source: Web of Science (Lite)
- Other metadata sources:
-
- Abstract
- <jats:title>Abstract</jats:title> <jats:p>The cure from cancer is still not a reality for all patients, which is mainly due to the limitations of chemotherapy (e.g., drug resistance and toxicity). Apart from the high-throughput screening of synthetic chemical libraries, natural products represent attractive alternatives for drug development. We have done a systematic bioactivity-based screening of natural products derived from medicinal plants used in traditional Chinese medicine. Plant extracts with growth-inhibitory activity against tumor cells have been fractionated by chromatographic techniques. We have isolated the bioactive compounds and elucidated the chemical structures by nuclear magnetic resonance and mass spectrometry. By this strategy, we identified 25-O-acetyl-23,24-dihydro-cucurbitacin F as a cytotoxic constituent of Quisqualis indica. Another promising compound identified by this approach was miltirone from Salvia miltiorrhiza. The IC50 values for miltirone of 60 National Cancer Institute cell lines were associated with the microarray-based expression of 9,706 genes. By COMPARE and hierarchical cluster analyses, candidate genes were identified, which significantly predicted sensitivity or resistance of cell lines to miltirone. [Mol Cancer Ther 2008;7(1):152–61]</jats:p>
- Autoren
- Thomas Efferth
- Stefan Kahl
- Kerstin Paulus
- Michael Adams
- Rolf Rauh
- Herbert Boechzelt
- Xiaojiang Hao
- Bernd Kaina
- Rudolf Bauer
- DOI
- 10.1158/1535-7163.mct-07-0073
- eISSN
- 1538-8514
- ISSN
- 1535-7163
- Ausgabe der Veröffentlichung
- 1
- Zeitschrift
- Molecular Cancer Therapeutics
- Sprache
- en
- Online publication date
- 2008
- Paginierung
- 152 - 161
- Datum der Veröffentlichung
- 2008
- Status
- Published
- Herausgeber
- American Association for Cancer Research (AACR)
- Herausgeber URL
- http://dx.doi.org/10.1158/1535-7163.mct-07-0073
- Datum der Datenerfassung
- 2022
- Titel
- Phytochemistry and pharmacogenomics of natural products derived from traditional chinese medicine and chinese materia medica with activity against tumor cells
- Ausgabe der Zeitschrift
- 7
Data source: Crossref
- Abstract
- The cure from cancer is still not a reality for all patients, which is mainly due to the limitations of chemotherapy (e.g., drug resistance and toxicity). Apart from the high-throughput screening of synthetic chemical libraries, natural products represent attractive alternatives for drug development. We have done a systematic bioactivity-based screening of natural products derived from medicinal plants used in traditional Chinese medicine. Plant extracts with growth-inhibitory activity against tumor cells have been fractionated by chromatographic techniques. We have isolated the bioactive compounds and elucidated the chemical structures by nuclear magnetic resonance and mass spectrometry. By this strategy, we identified 25-O-acetyl-23,24-dihydro-cucurbitacin F as a cytotoxic constituent of Quisqualis indica. Another promising compound identified by this approach was miltirone from Salvia miltiorrhiza. The IC50 values for miltirone of 60 National Cancer Institute cell lines were associated with the microarray-based expression of 9,706 genes. By COMPARE and hierarchical cluster analyses, candidate genes were identified, which significantly predicted sensitivity or resistance of cell lines to miltirone.
- Addresses
- German Cancer Research Centre, Pharmaceutical Biology (C015), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany. t.efferth@dkfz.de
- Autoren
- Thomas Efferth
- Thomas Efferth
- Stefan Kahl
- Kerstin Paulus
- Michael Adams
- Rolf Rauh
- Herbert Boechzelt
- Xiaojiang Hao
- Bernd Kaina
- Rudolf Bauer
- DOI
- 10.1158/1535-7163.mct-07-0073
- eISSN
- 1538-8514
- Externe Identifier
- PubMed Identifier: 18202018
- Open access
- false
- ISSN
- 1535-7163
- Ausgabe der Veröffentlichung
- 1
- Zeitschrift
- Molecular cancer therapeutics
- Schlüsselwörter
- Cell Line, Tumor
- Humans
- Combretaceae
- Salvia miltiorrhiza
- Plant Extracts
- Drugs, Chinese Herbal
- Antineoplastic Agents
- Biological Products
- Materia Medica
- Medicine, Chinese Traditional
- Drug Screening Assays, Antitumor
- Pharmacogenetics
- Cell Survival
- Molecular Structure
- Sprache
- eng
- Medium
- Paginierung
- 152 - 161
- Datum der Veröffentlichung
- 2008
- Status
- Published
- Datum der Datenerfassung
- 2008
- Titel
- Phytochemistry and pharmacogenomics of natural products derived from traditional Chinese medicine and Chinese materia medica with activity against tumor cells.
- Sub types
- Research Support, Non-U.S. Gov't
- Journal Article
- Ausgabe der Zeitschrift
- 7
Data source: Europe PubMed Central
- Abstract
- The cure from cancer is still not a reality for all patients, which is mainly due to the limitations of chemotherapy (e.g., drug resistance and toxicity). Apart from the high-throughput screening of synthetic chemical libraries, natural products represent attractive alternatives for drug development. We have done a systematic bioactivity-based screening of natural products derived from medicinal plants used in traditional Chinese medicine. Plant extracts with growth-inhibitory activity against tumor cells have been fractionated by chromatographic techniques. We have isolated the bioactive compounds and elucidated the chemical structures by nuclear magnetic resonance and mass spectrometry. By this strategy, we identified 25-O-acetyl-23,24-dihydro-cucurbitacin F as a cytotoxic constituent of Quisqualis indica. Another promising compound identified by this approach was miltirone from Salvia miltiorrhiza. The IC50 values for miltirone of 60 National Cancer Institute cell lines were associated with the microarray-based expression of 9,706 genes. By COMPARE and hierarchical cluster analyses, candidate genes were identified, which significantly predicted sensitivity or resistance of cell lines to miltirone.
- Autoren
- Thomas Efferth
- Stefan Kahl
- Kerstin Paulus
- Michael Adams
- Rolf Rauh
- Herbert Boechzelt
- Xiaojiang Hao
- Bernd Kaina
- Rudolf Bauer
- Autoren-URL
- https://www.ncbi.nlm.nih.gov/pubmed/18202018
- DOI
- 10.1158/1535-7163.MCT-07-0073
- ISSN
- 1535-7163
- Ausgabe der Veröffentlichung
- 1
- Zeitschrift
- Mol Cancer Ther
- Schlüsselwörter
- Antineoplastic Agents
- Biological Products
- Cell Line, Tumor
- Cell Survival
- Combretaceae
- Drug Screening Assays, Antitumor
- Drugs, Chinese Herbal
- Humans
- Materia Medica
- Medicine, Chinese Traditional
- Molecular Structure
- Pharmacogenetics
- Plant Extracts
- Salvia miltiorrhiza
- Sprache
- eng
- Country
- United States
- Paginierung
- 152 - 161
- PII
- 7/1/152
- Datum der Veröffentlichung
- 2008
- Status
- Published
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2008
- Titel
- Phytochemistry and pharmacogenomics of natural products derived from traditional Chinese medicine and Chinese materia medica with activity against tumor cells.
- Sub types
- Journal Article
- Research Support, Non-U.S. Gov't
- Ausgabe der Zeitschrift
- 7
Data source: PubMed
- Beziehungen:
- Property of