Targeted PET imaging strategy to differentiate malignant from inflamed lymph nodes in diffuse large B-cell lymphoma Journal Article


Authors: Tang, J.; Salloum, D.; Carney, B.; Brand, C.; Kossatz, S.; Sadique, A.; Lewis, J. S.; Weber, W. A.; Wendel, H. G.; Reiner, T.
Article Title: Targeted PET imaging strategy to differentiate malignant from inflamed lymph nodes in diffuse large B-cell lymphoma
Abstract: Diffuse large B-cell lymphoma (DLBCL) is the most common lymphoma in adults. DLBCL exhibits highly aggressive and systemic progression into multiple tissues in patients, particularly in lymph nodes. Whole-body 18F-fluodeoxyglucose positron emission tomography ([18F]FDG-PET) imaging has an essential role in diagnosing DLBCL in the clinic; however, [18F]FDG-PET often faces difficulty in differentiating malignant tissues from certain nonmalignant tissues with high glucose uptake. We have developed a PET imaging strategy for DLBCL that targets poly[ADP ribose] polymerase 1 (PARP1), the expression of which has been found to be much higher in DLBCL than in healthy tissues. In a syngeneic DLBCL mouse model, this PARP1-targeted PET imaging approach allowed us to discriminate between malignant and inflamed lymph nodes, whereas [18F]FDG-PET failed to do so. Our PARP1-targeted PET imaging approach may be an attractive addition to the current PET imaging strategy to differentiate inflammation from malignancy in DLBCL. © 2017, National Academy of Sciences. All rights reserved.
Keywords: inflammation; pet/ct; diffuse large b-cell lymphoma; parp1; [18f]parpi
Journal Title: Proceedings of the National Academy of Sciences of the United States of America
Volume: 114
Issue: 36
ISSN: 0027-8424
Publisher: National Academy of Sciences  
Date Published: 2017-09-05
Start Page: E7441
End Page: E7449
Language: English
DOI: 10.1073/pnas.1705013114
PROVIDER: scopus
PMCID: PMC5594659
PUBMED: 28827325
DOI/URL:
Notes: Article -- Export Date: 2 October 2017 -- Source: Scopus
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MSK Authors
  1. Hans Guido Wendel
    102 Wendel
  2. Jason S Lewis
    456 Lewis
  3. Thomas Reiner
    136 Reiner
  4. Wolfgang Andreas Weber
    173 Weber
  5. Christian Brand
    25 Brand
  6. Jun   Tang
    19 Tang
  7. Susanne   Kossatz
    40 Kossatz
  8. Brandon Daniel Carney
    20 Carney
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