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

Therapeutics, Targets, and Chemical Biology

Targeting Cancer Stem–like Cells as an Approach to Defeating Cellular Heterogeneity in Ewing Sarcoma

Sandrine Cornaz-Buros, Nicolo Riggi, Claudio DeVito, Alexandre Sarre, Igor Letovanec, Paolo Provero and Ivan Stamenkovic
Sandrine Cornaz-Buros
1Experimental Pathology Service, CHUV and University of Lausanne, Lausanne, Switzerland.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nicolo Riggi
2Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Claudio DeVito
3Department of Pathology, HUG and University of Geneva, Geneva, Switzerland.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alexandre Sarre
4Mouse Cardiovascular Assessment Facility, University of Lausanne, Lausanne, Switzerland.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Igor Letovanec
5Clinical Pathology Service, CHUV and University of Lausanne, Lausanne, Switzerland.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Paolo Provero
6Center for Translational Genomics and Bioinformatics, San Raffaele Scientific Institute, Milan, Italy.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ivan Stamenkovic
1Experimental Pathology Service, CHUV and University of Lausanne, Lausanne, Switzerland.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: Ivan.Stamenkovic@chuv.ch
DOI: 10.1158/0008-5472.CAN-14-1106 Published November 2014
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

  • Additional Files
  • Figure 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1.

    miRNA and pluripotency gene expression profiles in primary ESFT spheres and adherent cells in vitro. A, expression of NANOG and OCT-4, as measured by RT-PCR, expressed as fold changes in spheres and adherent cells from the four primary ESFT. B, fold change of expression of selected miRNAs as measured by RT-PCR in the same spheres and adherent cells as in A. Results were analyzed by one-way ANOVA, and mean values with SD are shown. *, P < 0.05; **, P < 0.01; ***, P < 0.001; ****, P < 0.0001.

  • Figure 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2.

    Differential response to doxorubicin and enoxacin of CSC-enriched primary ESFT spheres, adherent cells, and cell lines. Effect of 96-hour primary sphere and adherent cell treatment with increasing doses of doxorubicin as assessed by MTS. A, proportion of living cells relative to control treated cells. Data were analyzed by two-way ANOVA. B and C, effect on spheres, adherent cells, and cell lines of 96-hour 10 μg/mL enoxacin treatment as assessed by MTS. The proportion of living cells relative to control-treated cells is shown (B, tumor cell line and hpMSC compared with primary sphere response; C, primary sphere compared to corresponding adherent cell response). D, left, ratio of living cells to control-treated cells after 24, 48, and 72 hours of 10 μg/mL of enoxacin treatment of sh control or shTARBP2-infected A673 cells. D, right, Western blotting and TARBP2 quantification in A673 cells bearing sh control or shTARBP2. Results from growth curves analyzed by two-way ANOVA and significance of enoxacin-treated relative to control-treated cells are shown. *, P < 0.05; ***, P < 0.001; ****, P < 0.0001.

  • Figure 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3.

    Induction of apoptosis selectively in CD133+ cells by enoxacin. A, induction of apoptosis in enoxacin-treated relative to control-treated CD133+ and CD133− cells, as measured by Annexin PI staining of cells harvested at subconfluence. Dots and triangles, induction of apoptosis in CD133+ and CD133− populations, respectively, from the four tumors as indicated (left). FACS image of Annexin V and PI staining of ESFT-1 cells gated on the CD133+ and CD133− subpopulations (right). Graphs are representative of three independent experiments. B, sphere formation by DMSO- and enoxacin-treated cells. Graphs, sphere number. Data were analyzed by the Student t test. Mean values ± SD are shown. *, P < 0.05; ****, P < 0.0001.

  • Figure 4.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 4.

    Enoxacin alone depletes the CD133+ compartment but is not sufficient to inhibit primary ESFT xenograft growth. 5,000 ESFT-1 and 10,000 ESFT-3 cells were injected into the subcapsular kidney compartment of NGS mice and treatment was started 10 days later. A, left, tumor weight after 5 weeks of 5 day/week treatment with vehicle or 50 mg/kg of enoxacin alone; right, CD133+ subpopulation fractions in residual tumors at the end of the 5-week treatment. The Student t test was performed on the two groups. n.s., nonsignificant. B, gross anatomy and histology of two representative control- and enoxacin-treated ESFT-3. C, CD99 staining of ESFT 1 and ESFT-3 xenografts. *, P < 0.05.

  • Figure 5.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 5.

    Synergistic antitumor activity of doxorubicin and enoxacin on primary ESFT xenografts. A, representative 3D reconstruction of ultrasound images of ESFT-3 tumors after 4 weeks of the indicated treatment. B, tumor weight of ESFT-3 after 5 weeks of treatment with vehicle, enoxacin alone (50 mg/kg 5 days/week), doxorubicin alone (single weekly 0.5 mg/kg dose), or a combination of the two drugs at the same doses. The Student t test was performed for comparison of doxorubicin only– and doxorubicin/enoxacin-treated groups. C, CD133+ cell fraction in residual ESFT-3 following treatment. Results were analyzed by one-way ANOVA, and mean values with distribution are shown. *, P < 0.05.

  • Figure 6.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 6.

    Enoxacin in combination with doxorubicin induces extensive tumor necrosis in vivo, increases miRNA expression, and depletes tumor-initiating capacity. A, H&E staining of residual tumors (ESFT-1) 5 weeks after the indicated treatment. B, number of living cells × 106/gram of dissociated tumor following treatment. Results were analyzed by one-way ANOVA. C, relative fold change of miRNA expression in residual tumors as assessed by RT-PCR. Mean values and distributions are shown. D, 5000 residual viable cells from treated tumors (ESFT-1) were reinjected into healthy recipient mice and tumor development was scored 6 weeks later. Data were analyzed by the χ2 test. E, percentage of CD133+ cells in residual tumors following treatment (before reinjection) and in secondary xenografts. Mean values and distribution are indicated. *, P < 0.05; ****, P < 0.0001.

  • Figure 7.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 7.

    Onecut2, a candidate predictor marker of ESFT response to enoxacin whose expression may correlate with prognosis. A, Kaplan–Meier curve of the clustering of 111 targets of at least three out of five miRNAs (let-7f, mir-26a, mir-100, mir-145, and mir-181a). B, clustering of 37 individual significantly prognostic targets of three out of five miRNAs. C, Kaplan–Meier curve of survival probability of patients, according to ONECUT2 expression above or below the median. D, expression of ONECUT2 in the CD133+ fraction of the four ESFT samples relative to that of ESFT-1. Results analyzed by one-way ANOVA. Mean values ± SD are shown. **, P < 0.01; ****, P < 0.0001.

Additional Files

  • Figures
  • Supplementary Data

    Files in this Data Supplement:

    • Supplemental Table S1 - Supplemental Table S1. Target genes of 5 TARBP2-dependent miRNAs.
    • Supplemental Figure S1 - Supplemental Figure S1. Tumor origins and specifications and primary cell characterization.
    • Supplemental Figure S2 - Supplemental Figure S2. ESFT-1 response to enoxacin in vivo.
    • Supplemental Figure Legends - Supplemental Figure Legends. Legends for Supplemental Figures S1-S2.
PreviousNext
Back to top
Cancer Research: 74 (22)
November 2014
Volume 74, Issue 22
  • 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.
Targeting Cancer Stem–like Cells as an Approach to Defeating Cellular Heterogeneity in Ewing Sarcoma
(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
Targeting Cancer Stem–like Cells as an Approach to Defeating Cellular Heterogeneity in Ewing Sarcoma
Sandrine Cornaz-Buros, Nicolo Riggi, Claudio DeVito, Alexandre Sarre, Igor Letovanec, Paolo Provero and Ivan Stamenkovic
Cancer Res November 15 2014 (74) (22) 6610-6622; DOI: 10.1158/0008-5472.CAN-14-1106

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Targeting Cancer Stem–like Cells as an Approach to Defeating Cellular Heterogeneity in Ewing Sarcoma
Sandrine Cornaz-Buros, Nicolo Riggi, Claudio DeVito, Alexandre Sarre, Igor Letovanec, Paolo Provero and Ivan Stamenkovic
Cancer Res November 15 2014 (74) (22) 6610-6622; DOI: 10.1158/0008-5472.CAN-14-1106
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
    • Acknowledgments
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • PDF
Advertisement

Related Articles

Cited By...

More in this TOC Section

  • Design of Potent Prodrug Nanoassemblies for Cancer Therapy
  • SOCS1 Improves Radiosensitivity and Enhances DNA Damage
  • Targeting MALT1 in CLL
Show more Therapeutics, Targets, and Chemical Biology
  • 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