DrugTargetInspector: An assistance tool for patient treatment stratification

Publikationstyp:
Zeitschriftenaufsatz
Metadaten:
Autoren
  • Lara Schneider
  • Daniel Stoeckel
  • Tim Kehl
  • Andreas Gerasch
  • Nicole Ludwig
  • Petra Leidinger
  • Hanno Huwer
  • Stefan Tenzer
  • Oliver Kohlbacher
  • Andreas Hildebrandt
  • Michael Kaufmann
  • Manfred Gessler
  • Andreas Keller
  • Eckart Meese
  • Norbert Graf
  • Hans-Peter Lenhof
Autoren-URL
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000370125500020&DestLinkType=FullRecord&DestApp=WOS_CPL
DOI
10.1002/ijc.29897
eISSN
1097-0215
Externe Identifier
  • Clarivate Analytics Document Solution ID: DD7SX
  • PubMed Identifier: 26501925
ISSN
0020-7136
Ausgabe der Veröffentlichung
7
Zeitschrift
INTERNATIONAL JOURNAL OF CANCER
Schlüsselwörter
  • precision medicine
  • web server
  • treatment decision making
  • multi-omics integrated
  • analysis
  • molecular drug targets
Paginierung
1765 - 1776
Datum der Veröffentlichung
2016
Status
Published
Titel
DrugTargetInspector: An assistance tool for patient treatment stratification
Sub types
  • Article
Ausgabe der Zeitschrift
138

Datenquelle: Web of Science (Lite)

Andere Metadatenquellen:
Abstract
<jats:p>Cancer is a large class of diseases that are characterized by a common set of features, known as the <jats:italic>Hallmarks of cancer</jats:italic>. One of these hallmarks is the acquisition of genome instability and mutations. This, combined with high proliferation rates and failure of repair mechanisms, leads to clonal evolution as well as a high genotypic and phenotypic diversity within the tumor. As a consequence, treatment and therapy of malignant tumors is still a grand challenge. Moreover, under selective pressure, <jats:italic>e.g</jats:italic>., caused by chemotherapy, resistant subpopulations can emerge that then may lead to relapse. In order to minimize the risk of developing multidrug‐resistant tumor cell populations, optimal (combination) therapies have to be determined on the basis of an in‐depth characterization of the tumor's genetic and phenotypic makeup, a process that is an important aspect of stratified medicine and precision medicine. We present DrugTargetInspector (DTI), an interactive assistance tool for treatment stratification. DTI analyzes genomic, transcriptomic, and proteomic datasets and provides information on deregulated drug targets, enriched biological pathways, and deregulated subnetworks, as well as mutations and their potential effects on putative drug targets and genes of interest. To demonstrate DTI's broad scope of applicability, we present case studies on several cancer types and different types of input ‐omics data. DTI's integrative approach allows users to characterize the tumor under investigation based on various ‐omics datasets and to elucidate putative treatment options based on clinical decision guidelines, but also proposing additional points of intervention that might be neglected otherwise. DTI can be freely accessed at <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="http://dti.bioinf.uni-sb.de">http://dti.bioinf.uni‐sb.de</jats:ext-link>.</jats:p>
Autoren
  • Lara Schneider
  • Daniel Stöckel
  • Tim Kehl
  • Andreas Gerasch
  • Nicole Ludwig
  • Petra Leidinger
  • Hanno Huwer
  • Stefan Tenzer
  • Oliver Kohlbacher
  • Andreas Hildebrandt
  • Michael Kaufmann
  • Manfred Gessler
  • Andreas Keller
  • Eckart Meese
  • Norbert Graf
  • Hans‐Peter Lenhof
DOI
10.1002/ijc.29897
eISSN
1097-0215
ISSN
0020-7136
Ausgabe der Veröffentlichung
7
Zeitschrift
International Journal of Cancer
Sprache
en
Online publication date
2016
Paginierung
1765 - 1776
Datum der Veröffentlichung
2016
Status
Published
Herausgeber
Wiley
Herausgeber URL
http://dx.doi.org/10.1002/ijc.29897
Datum der Datenerfassung
2023
Titel
Drug<scp>T</scp>arget<scp>I</scp>nspector: An assistance tool for patient treatment stratification
Ausgabe der Zeitschrift
138

Datenquelle: Crossref

Abstract
Cancer is a large class of diseases that are characterized by a common set of features, known as the Hallmarks of cancer. One of these hallmarks is the acquisition of genome instability and mutations. This, combined with high proliferation rates and failure of repair mechanisms, leads to clonal evolution as well as a high genotypic and phenotypic diversity within the tumor. As a consequence, treatment and therapy of malignant tumors is still a grand challenge. Moreover, under selective pressure, e.g., caused by chemotherapy, resistant subpopulations can emerge that then may lead to relapse. In order to minimize the risk of developing multidrug-resistant tumor cell populations, optimal (combination) therapies have to be determined on the basis of an in-depth characterization of the tumor's genetic and phenotypic makeup, a process that is an important aspect of stratified medicine and precision medicine. We present DrugTargetInspector (DTI), an interactive assistance tool for treatment stratification. DTI analyzes genomic, transcriptomic, and proteomic datasets and provides information on deregulated drug targets, enriched biological pathways, and deregulated subnetworks, as well as mutations and their potential effects on putative drug targets and genes of interest. To demonstrate DTI's broad scope of applicability, we present case studies on several cancer types and different types of input -omics data. DTI's integrative approach allows users to characterize the tumor under investigation based on various -omics datasets and to elucidate putative treatment options based on clinical decision guidelines, but also proposing additional points of intervention that might be neglected otherwise. DTI can be freely accessed at http://dti.bioinf.uni-sb.de.
Addresses
  • Center for Bioinformatics, Saarland University, Saarbrücken, Germany.
Autoren
  • Lara Schneider
  • Daniel Stöckel
  • Tim Kehl
  • Andreas Gerasch
  • Nicole Ludwig
  • Petra Leidinger
  • Hanno Huwer
  • Stefan Tenzer
  • Oliver Kohlbacher
  • Andreas Hildebrandt
  • Michael Kaufmann
  • Manfred Gessler
  • Andreas Keller
  • Eckart Meese
  • Norbert Graf
  • Hans-Peter Lenhof
DOI
10.1002/ijc.29897
eISSN
1097-0215
Externe Identifier
  • PubMed Identifier: 26501925
Funding acknowledgements
  • Deutsche Forschungsgemeinschaft: SPP 1335, LE952/5–1
Open access
false
ISSN
0020-7136
Ausgabe der Veröffentlichung
7
Zeitschrift
International journal of cancer
Schlüsselwörter
  • Humans
  • Neoplasms
  • Genomics
  • Patient Selection
  • Decision Making, Computer-Assisted
Sprache
eng
Medium
Print
Paginierung
1765 - 1776
Datum der Veröffentlichung
2016
Status
Published
Datum der Datenerfassung
2015
Titel
DrugTargetInspector: An assistance tool for patient treatment stratification.
Sub types
  • Research Support, Non-U.S. Gov't
  • Journal Article
Ausgabe der Zeitschrift
138

Datenquelle: Europe PubMed Central

Abstract
Cancer is a large class of diseases that are characterized by a common set of features, known as the Hallmarks of cancer. One of these hallmarks is the acquisition of genome instability and mutations. This, combined with high proliferation rates and failure of repair mechanisms, leads to clonal evolution as well as a high genotypic and phenotypic diversity within the tumor. As a consequence, treatment and therapy of malignant tumors is still a grand challenge. Moreover, under selective pressure, e.g., caused by chemotherapy, resistant subpopulations can emerge that then may lead to relapse. In order to minimize the risk of developing multidrug-resistant tumor cell populations, optimal (combination) therapies have to be determined on the basis of an in-depth characterization of the tumor's genetic and phenotypic makeup, a process that is an important aspect of stratified medicine and precision medicine. We present DrugTargetInspector (DTI), an interactive assistance tool for treatment stratification. DTI analyzes genomic, transcriptomic, and proteomic datasets and provides information on deregulated drug targets, enriched biological pathways, and deregulated subnetworks, as well as mutations and their potential effects on putative drug targets and genes of interest. To demonstrate DTI's broad scope of applicability, we present case studies on several cancer types and different types of input -omics data. DTI's integrative approach allows users to characterize the tumor under investigation based on various -omics datasets and to elucidate putative treatment options based on clinical decision guidelines, but also proposing additional points of intervention that might be neglected otherwise. DTI can be freely accessed at http://dti.bioinf.uni-sb.de.
Date of acceptance
2015
Autoren
  • Lara Schneider
  • Daniel Stöckel
  • Tim Kehl
  • Andreas Gerasch
  • Nicole Ludwig
  • Petra Leidinger
  • Hanno Huwer
  • Stefan Tenzer
  • Oliver Kohlbacher
  • Andreas Hildebrandt
  • Michael Kaufmann
  • Manfred Gessler
  • Andreas Keller
  • Eckart Meese
  • Norbert Graf
  • Hans-Peter Lenhof
Autoren-URL
https://www.ncbi.nlm.nih.gov/pubmed/26501925
DOI
10.1002/ijc.29897
eISSN
1097-0215
Ausgabe der Veröffentlichung
7
Zeitschrift
Int J Cancer
Schlüsselwörter
  • analysis
  • molecular drug targets
  • multi-omics integrated
  • precision medicine
  • treatment decision making
  • web server
  • Decision Making, Computer-Assisted
  • Genomics
  • Humans
  • Neoplasms
  • Patient Selection
Sprache
eng
Country
United States
Paginierung
1765 - 1776
Datum der Veröffentlichung
2016
Status
Published
Datum, an dem der Datensatz öffentlich gemacht wurde
2016
Titel
DrugTargetInspector: An assistance tool for patient treatment stratification.
Sub types
  • Journal Article
  • Research Support, Non-U.S. Gov't
Ausgabe der Zeitschrift
138

Datenquelle: PubMed

Autoren
  • Lara Schneider
  • Daniel Stöckel
  • Tim Kehl
  • Andreas Gerasch
  • Nicole Ludwig
  • Petra Leidinger
  • Hanno Huwer
  • Stefan Tenzer
  • Oliver Kohlbacher
  • Andreas Hildebrandt
  • others
Zeitschrift
International Journal of Cancer
Artikelnummer
7
Paginierung
1765 - 1776
Datum der Veröffentlichung
2016
Datum der Datenerfassung
2020
Titel
DrugTargetInspector: An assistance tool for patient treatment stratification
Sub types
  • article
Ausgabe der Zeitschrift
138

Datenquelle: Manual

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