Skip to main content

Main menu

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
    • Continuing Education
    • JNM Podcasts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Journal Claims
    • Corporate & Special Sales
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Reviewers
    • Permissions
    • Advertisers
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI

User menu

  • Subscribe
  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
Journal of Nuclear Medicine
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI
  • Subscribe
  • My alerts
  • Log in
  • My Cart
Journal of Nuclear Medicine

Advanced Search

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
    • Continuing Education
    • JNM Podcasts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Journal Claims
    • Corporate & Special Sales
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Reviewers
    • Permissions
    • Advertisers
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • View or Listen to JNM Podcast
  • Visit JNM on Facebook
  • Join JNM on LinkedIn
  • Follow JNM on Twitter
  • Subscribe to our RSS feeds
Research ArticleBasic Science Investigation
Open Access

Granzyme B PET Imaging Predicts Response to Immunotherapy in a Diet-Induced Obesity Model of Breast Cancer

Shannon E. Lynch, Corinne Crawford, Addison L. Hunt, Luke L. Sligh, Yujun Zhang, Lyse A. Norian, Benjamin M. Larimer, Suzanne E. Lapi and Anna G. Sorace
Journal of Nuclear Medicine May 2025, jnumed.124.268938; DOI: https://doi.org/10.2967/jnumed.124.268938
Shannon E. Lynch
1Graduate Biomedical Sciences, University of Alabama at Birmingham, Birmingham, Alabama;
2Department of Radiology, University of Alabama at Birmingham, Birmingham, Alabama;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Corinne Crawford
2Department of Radiology, University of Alabama at Birmingham, Birmingham, Alabama;
3Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, Alabama;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Addison L. Hunt
2Department of Radiology, University of Alabama at Birmingham, Birmingham, Alabama;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Luke L. Sligh
2Department of Radiology, University of Alabama at Birmingham, Birmingham, Alabama;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yujun Zhang
1Graduate Biomedical Sciences, University of Alabama at Birmingham, Birmingham, Alabama;
2Department of Radiology, University of Alabama at Birmingham, Birmingham, Alabama;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Lyse A. Norian
4O’Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama;
5Department of Pathology, University of Alabama at Birmingham, Birmingham, Alabama;
6Nutrition Obesity Research Center, University of Alabama at Birmingham, Birmingham, Alabama; and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Benjamin M. Larimer
2Department of Radiology, University of Alabama at Birmingham, Birmingham, Alabama;
4O’Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Suzanne E. Lapi
2Department of Radiology, University of Alabama at Birmingham, Birmingham, Alabama;
4O’Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama;
7Department of Chemistry, University of Alabama at Birmingham, Birmingham, Alabama
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Anna G. Sorace
2Department of Radiology, University of Alabama at Birmingham, Birmingham, Alabama;
3Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, Alabama;
4O’Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

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

    Obesity induces changes in tumor microenvironment that influence survival. (A) Overall survival was significantly decreased for HFD-fed mice (median, 18 d) compared with LFD-fed mice (median, 28.5 d). (B) Quantification of flow cytometry data evaluating macrophage (CD86+ and CD206+) and T-cell (CD4+ and CD8+) populations in tumors of lean and obese mice. Macrophages are gated on live > CD45+ > CD11b+ > F4/80+, and T cells are gated on live > CD45+ > CD3+ (Supplemental Fig. 3). (C) 18F-FDG PET/CT imaging and quantification of SUV metrics show tumor glucose metabolism in lean and obese mice at baseline. Tumors are encircled with white dotted line. CON = control; TBR = tumor background ratio.

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

    Fixed-dose immunotherapy significantly increased immune activation via GZB PET but was not sufficient to reduce tumor burden in obese mice. (A) Representative PET/CT images show coronal view of EO771 mice tumors imaged with 68Ga-NOTA-GZP PET. (B) 68Ga-NOTA-GZP SUVmean in tumors treated with fixed-dose immunotherapy compared with controls for LFD and HFD groups. (C) Tumor volume reduction by fixed-dose immunotherapy observed in LFD-fed mice but not HFD-fed mice. CON = control; IMT = immunotherapy.

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

    Weight-based immunotherapy significantly increased immune activation via 68Ga-NOTA-GZP PET. (A) PET/CT images showing axial view of EO771 mice tumors imaged with 68Ga-NOTA-GZP PET. (B) Frequency distribution for 68Ga-NOTA-GZP expression. Percent GZP+ effector cell fraction calculated from SUV frequency distribution for [68Ga]Ga-NOTA-GZP expression in lean and obese mice. (C) Tumor volumes were significantly decreased for mice receiving weight-based immunotherapy compared with controls. CON = control; IMT = immunotherapy; wt = weight.

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

    68Ga-NOTA-GZP PET was significantly associated with response to immunotherapy before significant changes in tumor volume. (A) Heat map displaying 18F-FDG SUV on days 0 and 6, 68Ga-NOTA-GZP SUV on day 7, and relationship with iRECIST criteria for each mouse. (B) Comparison of responder and nonresponder tumors with day 6 18F-FDG SUVmean and day 7 68Ga-NOTA-GZP SUVmean. (C) Receiver-operating-characteristic curve analysis shows sensitivity and specificity in predicting response of 18F-FDG SUVmean (area under the curve, 0.6023; 95% CI, 0.5472–1.000; P = 0.31) and 68Ga-NOTA-GZP SUVmean (area under the curve, 0.8095; 95% CI, 0.4311–0.7344; P = 0.022). CR = complete response; NR = nonresponder; PD = progressive disease; PR = partial response; R = responder; SD = stable disease.

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

    Responder tumors showed high variance in change in 18F-FDG signal during treatment in lean and obese mice. (A) Percent change in 18F-FDG SUVmean from day 0 to day 6 for responder (R) and nonresponder (NR) tumors. (B) 18F-FDG PET/CT images in axial view of responder tumors in obese mice on days 0 and 6. Gray arrows indicate tumors. M34, M45, and M40 = mouse number; NR = nonresponder; R = responder.

Additional Files

  • Figures
  • Supplemental Data

    Files in this Data Supplement:

    • Supplemental Data
PreviousNext
Back to top

In this issue

Journal of Nuclear Medicine: 66 (6)
Journal of Nuclear Medicine
Vol. 66, Issue 6
June 1, 2025
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
  • Complete Issue (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Journal of Nuclear Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Granzyme B PET Imaging Predicts Response to Immunotherapy in a Diet-Induced Obesity Model of Breast Cancer
(Your Name) has sent you a message from Journal of Nuclear Medicine
(Your Name) thought you would like to see the Journal of Nuclear Medicine web site.
Citation Tools
Granzyme B PET Imaging Predicts Response to Immunotherapy in a Diet-Induced Obesity Model of Breast Cancer
Shannon E. Lynch, Corinne Crawford, Addison L. Hunt, Luke L. Sligh, Yujun Zhang, Lyse A. Norian, Benjamin M. Larimer, Suzanne E. Lapi, Anna G. Sorace
Journal of Nuclear Medicine May 2025, jnumed.124.268938; DOI: 10.2967/jnumed.124.268938

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Granzyme B PET Imaging Predicts Response to Immunotherapy in a Diet-Induced Obesity Model of Breast Cancer
Shannon E. Lynch, Corinne Crawford, Addison L. Hunt, Luke L. Sligh, Yujun Zhang, Lyse A. Norian, Benjamin M. Larimer, Suzanne E. Lapi, Anna G. Sorace
Journal of Nuclear Medicine May 2025, jnumed.124.268938; DOI: 10.2967/jnumed.124.268938
Twitter logo Facebook logo LinkedIn logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
    • Visual Abstract
    • Abstract
    • MATERIALS AND METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSION
    • DISCLOSURE
    • ACKNOWLEDGMENTS
    • Footnotes
    • REFERENCES
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • PDF

Related Articles

  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

  • 225Ac α-Pretargeted Radioimmunotherapy of Human Epidermal Growth Factor Receptor 2–Expressing Breast Cancer
  • 212Bi-Macroaggregated Albumin Inhibited Mouse Melanoma Growth by Regulating Cell Cycle Checkpoint Markers Without Promoting Living Cell Repopulation
  • In Vivo Visualization and Quantification of Brain Heat Shock Protein 90 with [11C]HSP990 in Healthy Aging and Neurodegeneration
Show more Basic Science Investigation

Similar Articles

Keywords

  • GZP PET imaging
  • TNBC
  • obesity
  • immunotherapy
  • granzyme B
SNMMI

© 2025 SNMMI

Powered by HighWire