• Submit Earth, Atmospheric, and Planetary Sciences Papers
  • Sign-up for PNAS eTOC Alerts

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

  1. Thomas Reinera,f,2
  1. aDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065;
  2. bCancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065;
  3. cDepartment of Chemistry, Hunter College of the City University of New York, New York, NY 10028;
  4. dPhD Program in Chemistry, The Graduate Center of the City University of New York, New York, NY 10018;
  5. eMolecular Pharmacology and Chemistry Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065;
  6. fDepartment of Radiology, Weill Cornell Medical College, New York, NY 10065
  1. Edited by Michael E. Phelps, University of California, Los Angeles, CA, and approved July 18, 2017 (received for review April 7, 2017)


Diffuse large B-cell lymphoma (DLBCL) is the most common adult lymphoma, accounting for 37% of all non-Hodgkin lymphoma cases in the United States. Despite an approximate 50% cure rate, refractory or relapsed cases have a poor prognosis and require timely medical interventions. Therefore, accurate diagnostic methods play a pivotal role in managing DLBCL. 18F- fluorodeoxyglucose positron emission tomography ([18F]FDG-PET) imaging, the current standard imaging modality for diagnosing DLBCL, often fails to differentiate inflamed from malignant lymph nodes in patients with DLBCL. To address this urgent medical need, we have developed a targeted PET imaging method that accurately distinguishes malignancy from inflammation in the lymph nodes. Our targeted PET imaging approach could play an essential role in the clinical development of therapies that induce significant inflammation in DLBCL.


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.


  • ?1Present address: Cancer Research Institute, New York, NY 10006.

  • ?2To whom correspondence should be addressed. Email: reinert{at}mskcc.org.
  • Author contributions: J.T., J.S.L., W.A.W., H.-G.W., and T.R. designed research; J.T., D.S., B.C., S.K., and A.S. performed research; B.C. and C.B. contributed new reagents/analytic tools; J.T., D.S., and H.-G.W. analyzed data; J.T., D.S., S.K., J.S.L., W.A.W., H.-G.W., and T.R. wrote the paper; and H.-G.W. and T.R. supervised the study.

  • The authors declare no conflict of interest.

  • This article is a PNAS Direct Submission.

  • This article contains supporting information online at www.danielhellerman.com/lookup/suppl/doi:10.1073/pnas.1705013114/-/DCSupplemental.

Freely available online through the PNAS open access option.

Online Impact

                                                          1. 956115858 2018-01-22
                                                          2. 730379857 2018-01-22
                                                          3. 346624856 2018-01-22
                                                          4. 201609855 2018-01-22
                                                          5. 72549854 2018-01-21
                                                          6. 795928853 2018-01-21
                                                          7. 752345852 2018-01-21
                                                          8. 566508851 2018-01-21
                                                          9. 615722850 2018-01-21
                                                          10. 689612849 2018-01-21
                                                          11. 846903848 2018-01-21
                                                          12. 674896847 2018-01-21
                                                          13. 11197846 2018-01-21
                                                          14. 986896845 2018-01-21
                                                          15. 667601844 2018-01-21
                                                          16. 385442843 2018-01-21
                                                          17. 496686842 2018-01-21
                                                          18. 915288841 2018-01-21
                                                          19. 885256840 2018-01-21
                                                          20. 726268839 2018-01-21