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dc.contributor.authorRashidian, Mohammad
dc.contributor.authorIngram, Jessica R.
dc.contributor.authorDougan, Michael
dc.contributor.authorDongre, Anushka
dc.contributor.authorWhang, Katherine A.
dc.contributor.authorLeGall, Camille
dc.contributor.authorCragnolini, Juan J.
dc.contributor.authorBierie, Brian
dc.contributor.authorGostissa, Monica
dc.contributor.authorGorman, James
dc.contributor.authorGrotenbreg, Gijsbert M.
dc.contributor.authorBhan, Atul
dc.contributor.authorWeinberg, Robert A
dc.contributor.authorPloegh, Hidde
dc.date.accessioned2018-05-02T20:37:26Z
dc.date.available2018-05-02T20:37:26Z
dc.date.issued2017-06
dc.date.submitted2017-03
dc.identifier.issn0022-1007
dc.identifier.issn1540-9538
dc.identifier.urihttp://hdl.handle.net/1721.1/115202
dc.description.abstractImmunotherapy using checkpoint-blocking antibodies against targets such as CTLA-4 and PD-1 can cure melanoma and non-small cell lung cancer in a subset of patients. The presence of CD8 T cells in the tumor correlates with improved survival. We show that immuno-positron emission tomography (immuno-PET) can visualize tumors by detecting infiltrating lymphocytes and, through longitudinal observation of individual animals, distinguish responding tumors from those that do not respond to therapy. We used 89 Zr-labeled PEGylated single-domain antibody fragments (VHHs) specific for CD8 to track the presence of intratumoral CD8 + T cells in the immunotherapy-susceptible B16 melanoma model in response to checkpoint blockade. A 89 Zr-labeled PEGylated anti-CD8 VHH detected thymus and secondary lymphoid structures as well as intratumoral CD8 T cells. Animals that responded to CTLA-4 therapy showed a homogeneous distribution of the anti-CD8 PET signal throughout the tumor, whereas more heterogeneous infiltration of CD8 T cells correlated with faster tumor growth and worse responses. To support the validity of these observations, we used two different transplantable breast cancer models, yielding results that conformed with predictions based on the antimelanoma response. It may thus be possible to use immuno-PET and monitor antitumor immune responses as a prognostic tool to predict patient responses to checkpoint therapies.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant R01-AI087879-06)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant DP1-GM106409-03)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant R01-GM100518-04)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant P01 CA080111)en_US
dc.publisherRockefeller University Pressen_US
dc.relation.isversionofhttp://dx.doi.org/10.1084/JEM.20161950en_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceRockefeller University Pressen_US
dc.titlePredicting the response to CTLA-4 blockade by longitudinal noninvasive monitoring of CD8 T cellsen_US
dc.typeArticleen_US
dc.identifier.citationRashidian, Mohammad et al. “Predicting the Response to CTLA-4 Blockade by Longitudinal Noninvasive Monitoring of CD8 T Cells.” The Journal of Experimental Medicine 214, 8 (June 2017): 2243–2255 © 2017 Rashidian et alen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.mitauthorWeinberg, Robert A
dc.contributor.mitauthorPloegh, Hidde
dc.relation.journalJournal of Experimental Medicineen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2018-02-23T15:36:34Z
dspace.orderedauthorsRashidian, Mohammad; Ingram, Jessica R.; Dougan, Michael; Dongre, Anushka; Whang, Katherine A.; LeGall, Camille; Cragnolini, Juan J.; Bierie, Brian; Gostissa, Monica; Gorman, James; Grotenbreg, Gijsbert M.; Bhan, Atul; Weinberg, Robert A.; Ploegh, Hidde L.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-0895-3557
dc.identifier.orcidhttps://orcid.org/0000-0002-1090-6071
mit.licensePUBLISHER_CCen_US


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