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
    • CCR Focus Archive
    • Meeting Abstracts
    • Collections
      • COVID-19 & Cancer Resource Center
      • Breast Cancer
      • Clinical Trials
      • Immunotherapy: Facts and Hopes
      • Editors' Picks
      • "Best of" Collection
  • For Authors
    • Information for Authors
    • Author Services
    • Best of: Author Profiles
    • Submit
  • Alerts
    • Table of Contents
    • Editors' Picks
    • OnlineFirst
    • Citation
    • 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
Clinical Cancer Research
Clinical Cancer Research
  • Home
  • About
    • The Journal
    • AACR Journals
    • Subscriptions
    • Permissions and Reprints
  • Articles
    • OnlineFirst
    • Current Issue
    • Past Issues
    • CCR Focus Archive
    • Meeting Abstracts
    • Collections
      • COVID-19 & Cancer Resource Center
      • Breast Cancer
      • Clinical Trials
      • Immunotherapy: Facts and Hopes
      • Editors' Picks
      • "Best of" Collection
  • For Authors
    • Information for Authors
    • Author Services
    • Best of: Author Profiles
    • Submit
  • Alerts
    • Table of Contents
    • Editors' Picks
    • OnlineFirst
    • Citation
    • Author/Keyword
    • RSS Feeds
    • My Alert Summary & Preferences
  • News
    • Cancer Discovery News
  • COVID-19
  • Webinars
  • Search More

    Advanced Search

Imaging, Diagnosis, Prognosis

The Incidence, Correlation with Tumor-Infiltrating Inflammation, and Prognosis of Phosphorylated STAT3 Expression in Human Gliomas

Mohamed Abou-Ghazal, David S. Yang, Wei Qiao, Chantal Reina-Ortiz, Jun Wei, Ling-Yuan Kong, Gregory N. Fuller, Nobuyoshi Hiraoka, Waldemar Priebe, Raymond Sawaya and Amy B. Heimberger
Mohamed Abou-Ghazal
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
David S. Yang
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Wei Qiao
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Chantal Reina-Ortiz
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jun Wei
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ling-Yuan Kong
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Gregory N. Fuller
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nobuyoshi Hiraoka
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Waldemar Priebe
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Raymond Sawaya
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Amy B. Heimberger
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
DOI: 10.1158/1078-0432.CCR-08-1329 Published December 2008
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Fig. 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Fig. 1.

    Immunohistochemical staining of human glioma tissue sections demonstrating p-STAT3 and CD3+ lymphoid cells. The p-STAT3 staining was confined to the nucleus, whereas CD3 staining was noted on the cell surface. A, the number of p-STAT3–expressing cells was more evident in astrocytic, higher-grade gliomas. B, CD3 staining showed high numbers of infiltrative CD3+ T cells, also within higher-glioma grades. All images were taken at a magnification of ×400. Normal brain (a), low-grade astrocytoma (b), AA (c), GBM multiforme (d), oligodendroglioma (e), MOA (f), AO (g), and AMOA (h).

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

    Pair-wise scatter plots between p-STAT3, CD3, and CD8 across all tumor pathologies and tumor grades with Loess smooth curves added. The almost straight trend of the Loess curves indicates that both CD3 and CD8 had a strong linear correlation with p-STAT3 expression. Specifically, the correlation of the number of p-STAT3 expressing cells with the number of tumor infiltrating CD3+ T cells was 0.99 (P < 0.001) and with the number of tumor infiltrating CD8+ T cells was 0.94 (P < 0.001).

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

    Kaplan-Meier survival estimates stratified by the presence or absence of p-STAT3 immunohistochemical staining within all patients with gliomas, patients with GBM, and patients with AA. A, among all patients with gliomas without p-STAT3 expression, the median survival time was 34.6 mo (95% CI, 19.2, mo to NA) and 20.1 mo (95% CI, 13.8-43.0 mo) in patients with gliomas with p-STAT3 expression (P = 0.16). B, in patients with GBM multiforme without p-STAT3 expression, the median survival time was 18.1 mo (95% CI, 6.6-41.8 mo) and 10.7 mo (95% CI, 7.5-15.0 mo) in patients with GBM multiforme with p-STAT3 expression (P = 0.12). C, in patients with AA patients without p-STAT3 expression, the median survival time was 34.6 mo (95% CI, 33.9 mo to NA) and 12.2 mo (95% CI, 6.2 mo to NA) in patients with AA with p-STAT3 expression (P = 0.02).

Tables

  • Figures
  • Table 1.

    Demographic characteristics of patients with glioma stratified according to pathology

    PathologyAge (y)KPSMedian survival time (mo)*
    MedianMinimumMaximumMedianMinimumMaximum
    O38.57.055.01008010099.8
    MOA42.524.052.010070100—†
    AO40.025.059.09070100—†
    AMOA35.522.047.01008010089.2
    LGA33.04.044.09590100166.7
    AA49.024.091.0909010027.7
    GS51.023.068.080601004.4
    GBM56.017.077.0905010013.8
    • Abbreviations: GS, gliosarcoma; KPS, Karnofsky performance score; LGA, low-grade astrocytoma.

    • ↵* Based on Kaplan-Meier estimates.

    • ↵† Not analyzed due to rarity.

  • Table 2.

    Composition of the glioma TMA

    LineagePathologyNo. of patients (%)
    Oligodendroglial (n = 49)O16 (12.4%)
    MOA6 (4.7%)
    AO15 (11.6%)
    AMOA12 (9.3%)
    Astrocytic (n = 80)LGA3 (2.3%)
    AA17 (13.2%)
    GS7 (5.4%)
    GBM53 (41.1%)
  • Table 3.

    Proportion of p-STAT3–positive cases according to pathology and WHO tumor grade

    Pathologyp-STAT3 >0/total (%)Mean (SD)*(Minimum, maximum)
    O6/16 (38%)4.3 (7.7)(0.0, 23.5)
    MOA6/6 (100%)67.9 (55.2)(9.0, 136.0)
    AO6/15 (40%)17.5 (41.0)(0.0,153.0)
    AMOA7/12 (58%)13.3 (27.0)(0.0, 85.5)
    LGA0/3 (0%)00
    AA9/17 (53%)5.6 (7.6)(0.0, 23.0)
    GS5/7 (71%)23.1 (34.1)(0.0, 91.0)
    GBM27/53 (51%)11.7 (24.4)(0.0, 133.5)
    • ↵* The mean calculation was based on the mean p-STAT3 value.

PreviousNext
Back to top
Clinical Cancer Research: 14 (24)
December 2008
Volume 14, Issue 24
  • 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 Clinical 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.
The Incidence, Correlation with Tumor-Infiltrating Inflammation, and Prognosis of Phosphorylated STAT3 Expression in Human Gliomas
(Your Name) has forwarded a page to you from Clinical Cancer Research
(Your Name) thought you would be interested in this article in Clinical Cancer Research.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
The Incidence, Correlation with Tumor-Infiltrating Inflammation, and Prognosis of Phosphorylated STAT3 Expression in Human Gliomas
Mohamed Abou-Ghazal, David S. Yang, Wei Qiao, Chantal Reina-Ortiz, Jun Wei, Ling-Yuan Kong, Gregory N. Fuller, Nobuyoshi Hiraoka, Waldemar Priebe, Raymond Sawaya and Amy B. Heimberger
Clin Cancer Res December 15 2008 (14) (24) 8228-8235; DOI: 10.1158/1078-0432.CCR-08-1329

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
The Incidence, Correlation with Tumor-Infiltrating Inflammation, and Prognosis of Phosphorylated STAT3 Expression in Human Gliomas
Mohamed Abou-Ghazal, David S. Yang, Wei Qiao, Chantal Reina-Ortiz, Jun Wei, Ling-Yuan Kong, Gregory N. Fuller, Nobuyoshi Hiraoka, Waldemar Priebe, Raymond Sawaya and Amy B. Heimberger
Clin Cancer Res December 15 2008 (14) (24) 8228-8235; DOI: 10.1158/1078-0432.CCR-08-1329
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
    • Materials and Methods
    • Results
    • Discussion
    • Disclosure of Potential Conflicts of Interest
    • Acknowledgments
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • PDF
Advertisement

Related Articles

Cited By...

More in this TOC Section

  • Variability in Assessing Response in Metastatic Colorectal Cancer
  • 18FDG PET-MRI of Breast Tumors: Feasibility
  • TP53 in Breast Cancer
Show more Imaging, Diagnosis, Prognosis
  • Home
  • Alerts
  • Feedback
  • Privacy Policy
Facebook  Twitter  LinkedIn  YouTube  RSS

Articles

  • Online First
  • Current Issue
  • Past Issues
  • CCR Focus Archive
  • Meeting Abstracts

Info for

  • Authors
  • Subscribers
  • Advertisers
  • Librarians

About Clinical Cancer Research

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

Copyright © 2021 by the American Association for Cancer Research.

Clinical Cancer Research
eISSN: 1557-3265
ISSN: 1078-0432

Advertisement