Skip to main content
  • AACR Publications
    • Blood Cancer Discovery
    • Cancer Discovery
    • Cancer Epidemiology, Biomarkers & Prevention
    • Cancer Immunology Research
    • Cancer Prevention Research
    • Cancer Research
    • Clinical Cancer Research
    • Molecular Cancer Research
    • Molecular Cancer Therapeutics

AACR logo

  • Register
  • Log in
  • My Cart
Advertisement

Main menu

  • Home
  • About
    • The Journal
    • AACR Journals
    • Subscriptions
    • Permissions and Reprints
  • Articles
    • OnlineFirst
    • Current Issue
    • Past Issues
    • Meeting Abstracts
    • Collections
      • COVID-19 & Cancer Resource Center
      • Focus on Computer Resources
      • Highly Cited Collection
      • Editors' Picks
      • "Best of" Collection
  • For Authors
    • Information for Authors
    • Author Services
    • Early Career Award
    • Best of: Author Profiles
    • Submit
  • Alerts
    • Table of Contents
    • Editors' Picks
    • OnlineFirst
    • Citations
    • Author/Keyword
    • RSS Feeds
    • My Alert Summary & Preferences
  • News
    • Cancer Discovery News
  • COVID-19
  • Webinars
  • Search More

    Advanced Search

  • AACR Publications
    • Blood Cancer Discovery
    • Cancer Discovery
    • Cancer Epidemiology, Biomarkers & Prevention
    • Cancer Immunology Research
    • Cancer Prevention Research
    • Cancer Research
    • Clinical Cancer Research
    • Molecular Cancer Research
    • Molecular Cancer Therapeutics

User menu

  • Register
  • Log in
  • My Cart

Search

  • Advanced search
Cancer Research
Cancer Research
  • Home
  • About
    • The Journal
    • AACR Journals
    • Subscriptions
    • Permissions and Reprints
  • Articles
    • OnlineFirst
    • Current Issue
    • Past Issues
    • Meeting Abstracts
    • Collections
      • COVID-19 & Cancer Resource Center
      • Focus on Computer Resources
      • Highly Cited Collection
      • Editors' Picks
      • "Best of" Collection
  • For Authors
    • Information for Authors
    • Author Services
    • Early Career Award
    • Best of: Author Profiles
    • Submit
  • Alerts
    • Table of Contents
    • Editors' Picks
    • OnlineFirst
    • Citations
    • Author/Keyword
    • RSS Feeds
    • My Alert Summary & Preferences
  • News
    • Cancer Discovery News
  • COVID-19
  • Webinars
  • Search More

    Advanced Search

Integrated Systems and Technologies

Novel Drug Candidates for the Treatment of Metastatic Colorectal Cancer through Global Inverse Gene-Expression Profiling

Vera van Noort, Sebastian Schölch, Murat Iskar, Georg Zeller, Kristina Ostertag, Christine Schweitzer, Kristin Werner, Jürgen Weitz, Moritz Koch and Peer Bork
Vera van Noort
1Structural and Computational Biology Unit, European Molecular Biology Laboratory, Meyerhofstrasse, Heidelberg, Germany.
2Centre of Microbial and Plant Genetics, KU Leuven, Kasteelpark Arenberg, Leuven, Belgium.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sebastian Schölch
3Department of Gastrointestinal, Thoracic and Vascular Surgery, Medizinische Fakultät , Technische Universität Dresden, Dresden, Germany.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Murat Iskar
1Structural and Computational Biology Unit, European Molecular Biology Laboratory, Meyerhofstrasse, Heidelberg, Germany.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Georg Zeller
1Structural and Computational Biology Unit, European Molecular Biology Laboratory, Meyerhofstrasse, Heidelberg, Germany.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kristina Ostertag
4Department of General, Gastrointestinal and Transplant Surgery, University Hospital Heidelberg, University of Heidelberg, Heidelberg, Germany.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Christine Schweitzer
3Department of Gastrointestinal, Thoracic and Vascular Surgery, Medizinische Fakultät , Technische Universität Dresden, Dresden, Germany.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kristin Werner
3Department of Gastrointestinal, Thoracic and Vascular Surgery, Medizinische Fakultät , Technische Universität Dresden, Dresden, Germany.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jürgen Weitz
3Department of Gastrointestinal, Thoracic and Vascular Surgery, Medizinische Fakultät , Technische Universität Dresden, Dresden, Germany.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Moritz Koch
3Department of Gastrointestinal, Thoracic and Vascular Surgery, Medizinische Fakultät , Technische Universität Dresden, Dresden, Germany.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: bork@embl.de Moritz.Koch@uniklinikum
Peer Bork
1Structural and Computational Biology Unit, European Molecular Biology Laboratory, Meyerhofstrasse, Heidelberg, Germany.
5Max-Delbrück-Centre (MDC) for Molecular Medicine, Berlin, Germany.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: bork@embl.de Moritz.Koch@uniklinikum
DOI: 10.1158/0008-5472.CAN-13-3540 Published October 2014
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Abstract

Drug-induced gene-expression profiles that invert disease profiles have recently been illustrated to be a starting point for drug repositioning. In this study, we validate this approach and focus on prediction of novel drugs for colorectal cancer, for which there is a pressing need to find novel antimetastatic compounds. We computationally predicted three novel and still unknown compounds against colorectal cancer: citalopram (an antidepressant), troglitazone (an antidiabetic), and enilconazole (a fungicide). We verified the compounds by in vitro assays of clonogenic survival, proliferation, and migration and in a subcutaneous mouse model. We found evidence that the mode of action of these compounds may be through inhibition of TGFβ signaling. Furthermore, one compound, citalopram, reduced tumor size as well as the number of circulating tumor cells and metastases in an orthotopic mouse model of colorectal cancer. This study proposes citalopram as a potential therapeutic option for patients with colorectal cancer, illustrating the potential of systems pharmacology. Cancer Res; 74(20); 5690–9. ©2014 AACR.

Footnotes

  • Note: Supplementary data for this article are available at Cancer Research Online (http://cancerres.aacrjournals.org/).

  • Received December 13, 2013.
  • Revision received June 25, 2014.
  • Accepted July 3, 2014.
  • ©2014 American Association for Cancer Research.
View Full Text
PreviousNext
Back to top
Cancer Research: 74 (20)
October 2014
Volume 74, Issue 20
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover

Sign up for alerts

View this article with LENS

Open full page PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for sharing this Cancer Research article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Novel Drug Candidates for the Treatment of Metastatic Colorectal Cancer through Global Inverse Gene-Expression Profiling
(Your Name) has forwarded a page to you from Cancer Research
(Your Name) thought you would be interested in this article in Cancer Research.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Novel Drug Candidates for the Treatment of Metastatic Colorectal Cancer through Global Inverse Gene-Expression Profiling
Vera van Noort, Sebastian Schölch, Murat Iskar, Georg Zeller, Kristina Ostertag, Christine Schweitzer, Kristin Werner, Jürgen Weitz, Moritz Koch and Peer Bork
Cancer Res October 15 2014 (74) (20) 5690-5699; DOI: 10.1158/0008-5472.CAN-13-3540

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Novel Drug Candidates for the Treatment of Metastatic Colorectal Cancer through Global Inverse Gene-Expression Profiling
Vera van Noort, Sebastian Schölch, Murat Iskar, Georg Zeller, Kristina Ostertag, Christine Schweitzer, Kristin Werner, Jürgen Weitz, Moritz Koch and Peer Bork
Cancer Res October 15 2014 (74) (20) 5690-5699; DOI: 10.1158/0008-5472.CAN-13-3540
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Introduction
    • Materials and Methods
    • Results
    • Discussion
    • Disclosure of Potential Conflicts of Interest
    • Authors' Contributions
    • Grant Support
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • PDF
Advertisement

Related Articles

Cited By...

More in this TOC Section

  • FLT PET Imaging of Capecitabine and Trifluridine/Tipiracil
  • In Vivo Vascular Imaging for Head and Neck Cancer Diagnosis
  • SMYD5 Regulates Genome Stability
Show more Integrated Systems and Technologies
  • Home
  • Alerts
  • Feedback
  • Privacy Policy
Facebook  Twitter  LinkedIn  YouTube  RSS

Articles

  • Online First
  • Current Issue
  • Past Issues
  • Meeting Abstracts

Info for

  • Authors
  • Subscribers
  • Advertisers
  • Librarians

About Cancer Research

  • About the Journal
  • Editorial Board
  • Permissions
  • Submit a Manuscript
AACR logo

Copyright © 2021 by the American Association for Cancer Research.

Cancer Research Online ISSN: 1538-7445
Cancer Research Print ISSN: 0008-5472
Journal of Cancer Research ISSN: 0099-7013
American Journal of Cancer ISSN: 0099-7374

Advertisement