Insights into apoptotic proteins in chemotherapy: quantification techniques and informing therapy choice

Publication type:
Journal article
Metadata:
Autoren
Autoren-URL
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000433137200004&DestLinkType=FullRecord&DestApp=WOS_CPL
DOI
10.1080/14789450.2018.1468755
eISSN
1744-8387
Externe Identifier
  • Clarivate Analytics Document Solution ID: GH1BS
  • PubMed Identifier: 29683367
ISSN
1478-9450
Ausgabe der Veröffentlichung
5
Zeitschrift
EXPERT REVIEW OF PROTEOMICS
Schlüsselwörter
  • Apoptosis
  • cancer
  • chemotherapy
  • individualized therapy
  • network pharmacology
  • precision medicine
  • proteomics
Paginierung
413 - 429
Datum der Veröffentlichung
2018
Status
Published
Titel
Insights into apoptotic proteins in chemotherapy: quantification techniques and informing therapy choice
Sub types
  • Review
Ausgabe der Zeitschrift
15

Data source: Web of Science (Lite)

Other metadata sources:
Autoren
DOI
10.1080/14789450.2018.1468755
eISSN
1744-8387
ISSN
1478-9450
Ausgabe der Veröffentlichung
5
Zeitschrift
Expert Review of Proteomics
Sprache
en
Online publication date
2018
Paginierung
413 - 429
Datum der Veröffentlichung
2018
Status
Published
Herausgeber
Informa UK Limited
Herausgeber URL
http://dx.doi.org/10.1080/14789450.2018.1468755
Datum der Datenerfassung
2022
Titel
Insights into apoptotic proteins in chemotherapy: quantification techniques and informing therapy choice
Ausgabe der Zeitschrift
15

Data source: Crossref

Abstract
<h4>Introduction</h4>Cancer is one of the leading causes of morbidity and mortality worldwide. A hallmark of cancer is evasion of apoptosis leading to tumor progression and drug resistance. Biomarker research has become a sign of the times, and proteins involved in apoptosis may be used for clinical diagnostic or prognostic purposes in cancer treatment. The recent progress in proteomic technology has triggered an emerging number of researchers to study the molecular mechanisms that regulate the apoptotic signal transduction pathways in cancer. Areas covered: A PubMed search for 'Proteomics' and 'cancer' and 'chemotherapy' and 'apoptosis' has been conducted for literature until December 2017.<h4>Results</h4>The study of apoptotic protein signatures in cancer provides valuable information for more effective prognosis, response to therapy and the identification of novel drug targets. A huge number of bioinformatic tools are available to interpret raw data. For quantification, mass spectrometry is the most reliable technique. Expert commentary: This field of research is, however, still in its infancy and more intensive research is warranted to explore the full potential of biomarkers for clinical use. Progress in this field is influenced by the detection limit of current quantification methods as well as patient and cancer inter-individual profiles.
Addresses
  • a Department of Pharmaceutical Biology, Institute of Biochemistry and Pharmacy , Johannes Gutenberg University , Mainz , Germany.
Autoren
DOI
10.1080/14789450.2018.1468755
eISSN
1744-8387
Externe Identifier
  • PubMed Identifier: 29683367
Funding acknowledgements
  • Deutsche Forschungsgemeinschaft: DFG GRK 2015/1
Open access
false
ISSN
1478-9450
Ausgabe der Veröffentlichung
5
Zeitschrift
Expert review of proteomics
Schlüsselwörter
  • Animals
  • Humans
  • Proteins
  • Antineoplastic Agents
  • Proteomics
  • Apoptosis
  • Drug Resistance, Neoplasm
  • Precision Medicine
Sprache
eng
Medium
Print-Electronic
Online publication date
2018
Paginierung
413 - 429
Datum der Veröffentlichung
2018
Status
Published
Datum der Datenerfassung
2018
Titel
Insights into apoptotic proteins in chemotherapy: quantification techniques and informing therapy choice.
Sub types
  • Review
  • Journal Article
Ausgabe der Zeitschrift
15

Data source: Europe PubMed Central

Abstract
INTRODUCTION: Cancer is one of the leading causes of morbidity and mortality worldwide. A hallmark of cancer is evasion of apoptosis leading to tumor progression and drug resistance. Biomarker research has become a sign of the times, and proteins involved in apoptosis may be used for clinical diagnostic or prognostic purposes in cancer treatment. The recent progress in proteomic technology has triggered an emerging number of researchers to study the molecular mechanisms that regulate the apoptotic signal transduction pathways in cancer. Areas covered: A PubMed search for 'Proteomics' and 'cancer' and 'chemotherapy' and 'apoptosis' has been conducted for literature until December 2017. RESULTS: The study of apoptotic protein signatures in cancer provides valuable information for more effective prognosis, response to therapy and the identification of novel drug targets. A huge number of bioinformatic tools are available to interpret raw data. For quantification, mass spectrometry is the most reliable technique. Expert commentary: This field of research is, however, still in its infancy and more intensive research is warranted to explore the full potential of biomarkers for clinical use. Progress in this field is influenced by the detection limit of current quantification methods as well as patient and cancer inter-individual profiles.
Autoren
Autoren-URL
https://www.ncbi.nlm.nih.gov/pubmed/29683367
DOI
10.1080/14789450.2018.1468755
eISSN
1744-8387
Ausgabe der Veröffentlichung
5
Zeitschrift
Expert Rev Proteomics
Schlüsselwörter
  • Apoptosis
  • cancer
  • chemotherapy
  • individualized therapy
  • network pharmacology
  • precision medicine
  • proteomics
  • Animals
  • Antineoplastic Agents
  • Apoptosis
  • Drug Resistance, Neoplasm
  • Humans
  • Precision Medicine
  • Proteins
  • Proteomics
Sprache
eng
Country
England
Paginierung
413 - 429
Datum der Veröffentlichung
2018
Status
Published
Datum, an dem der Datensatz öffentlich gemacht wurde
2019
Titel
Insights into apoptotic proteins in chemotherapy: quantification techniques and informing therapy choice.
Sub types
  • Journal Article
  • Review
Ausgabe der Zeitschrift
15

Data source: PubMed

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