Personalized Cancer Medicine: From Molecular Diagnostics to Targeted Therapy with Natural Products
- Publication type:
- Journal article
- Metadata:
-
- Autoren
- Thomas Efferth
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000280370900012&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.1055/s-0030-1249937
- eISSN
- 1439-0221
- Externe Identifier
- Clarivate Analytics Document Solution ID: 631TK
- PubMed Identifier: 20486071
- ISSN
- 0032-0943
- Ausgabe der Veröffentlichung
- 11
- Zeitschrift
- PLANTA MEDICA
- Schlüsselwörter
- chemotherapy
- comparative genomic
- hybridization
- drug resistance
- pharmacogenomics
- pharmacognosy
- traditional Chinese medicine
- Paginierung
- 1143 - 1154
- Datum der Veröffentlichung
- 2010
- Status
- Published
- Titel
- Personalized Cancer Medicine: From Molecular Diagnostics to Targeted Therapy with Natural Products
- Sub types
- Review
- Ausgabe der Zeitschrift
- 76
Data source: Web of Science (Lite)
- Other metadata sources:
-
- Autoren
- Thomas Efferth
- DOI
- 10.1055/s-0030-1249937
- eISSN
- 1439-0221
- ISSN
- 0032-0943
- Ausgabe der Veröffentlichung
- 11
- Zeitschrift
- Planta Medica
- Sprache
- en
- Online publication date
- 2010
- Paginierung
- 1143 - 1154
- Datum der Veröffentlichung
- 2010
- Status
- Published
- Herausgeber
- Georg Thieme Verlag KG
- Herausgeber URL
- http://dx.doi.org/10.1055/s-0030-1249937
- Datum der Datenerfassung
- 2017
- Titel
- Personalized Cancer Medicine: From Molecular Diagnostics to Targeted Therapy with Natural Products
- Ausgabe der Zeitschrift
- 76
Data source: Crossref
- 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.
- Addresses
- Department of Pharmaceutical Biology, Institute of Pharmacy and Biochemistry, University of Mainz, Mainz, Germany. efferth@uni-mainz.de
- Autoren
- Thomas Efferth
- Thomas Efferth
- DOI
- 10.1055/s-0030-1249937
- eISSN
- 1439-0221
- Externe Identifier
- PubMed Identifier: 20486071
- Open access
- false
- ISSN
- 0032-0943
- Ausgabe der Veröffentlichung
- 11
- Zeitschrift
- Planta medica
- Schlüsselwörter
- Humans
- Neoplasms
- Alanine
- RNA, Messenger
- Antibiotics, Antineoplastic
- Biological Products
- Phytotherapy
- Cytogenetics
- Drug Resistance, Neoplasm
- Genetic Variation
- ErbB Receptors
- Biomarkers, Tumor
- Precision Medicine
- ATP Binding Cassette Transporter, Subfamily B, Member 1
- Sprache
- eng
- Medium
- Print-Electronic
- Online publication date
- 2010
- Paginierung
- 1143 - 1154
- Datum der Veröffentlichung
- 2010
- Status
- Published
- Datum der Datenerfassung
- 2010
- Titel
- Personalized cancer medicine: from molecular diagnostics to targeted therapy with natural products.
- Sub types
- Review
- Journal Article
- Ausgabe der Zeitschrift
- 76
Data source: Europe PubMed Central
- 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.
- Autoren
- Thomas Efferth
- Autoren-URL
- https://www.ncbi.nlm.nih.gov/pubmed/20486071
- DOI
- 10.1055/s-0030-1249937
- eISSN
- 1439-0221
- Ausgabe der Veröffentlichung
- 11
- Zeitschrift
- Planta Med
- Schlüsselwörter
- ATP Binding Cassette Transporter, Subfamily B, Member 1
- Alanine
- Antibiotics, Antineoplastic
- Biological Products
- Biomarkers, Tumor
- Cytogenetics
- Drug Resistance, Neoplasm
- ErbB Receptors
- Genetic Variation
- Humans
- Neoplasms
- Phytotherapy
- Precision Medicine
- RNA, Messenger
- Sprache
- eng
- Country
- Germany
- Paginierung
- 1143 - 1154
- Datum der Veröffentlichung
- 2010
- Status
- Published
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2010
- Titel
- Personalized cancer medicine: from molecular diagnostics to targeted therapy with natural products.
- Sub types
- Journal Article
- Review
- Ausgabe der Zeitschrift
- 76
Data source: PubMed
- Beziehungen:
- Property of