The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
An Effective Immuno-PET Imaging Method to Monitor CD8-Dependent Responses to Immunotherapy
Open accessAbstract
The rapidly advancing field of cancer immunotherapy is currently limited by the scarcity of noninvasive and quantitative technologies capable of monitoring the presence and abundance of CD8+ T cells and other immune cell subsets. In this study, we describe the generation of 89Zr-desferrioxamine–labeled anti-CD8 cys-diabody (89Zr-malDFO-169 cDb) for noninvasive immuno-PET tracking of endogenous CD8+ T cells. We demonstrate that anti-CD8 immuno-PET is a sensitive tool for detecting changes in systemic and tumor-infiltrating CD8 expression in preclinical syngeneic tumor immunotherapy models including antigen-specific adoptive T-cell transfer, agonistic antibody therapy (anti-CD137/4-1BB), and checkpoint blockade antibody therapy (anti–PD-L1). The ability of anti-CD8 immuno-PET to provide whole body information regarding therapy-induced alterations of this dynamic T-cell population provides new opportunities to evaluate antitumor immune responses of immunotherapies currently being evaluated in the clinic. Cancer Res; 76(1); 73–82. ©2015 AACR.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
Mantovani, A., Allavena, P., Sica, A., & Balkwill, F. (2008) · Nature · doi:10.1038/nature07205 · Cited by 11,399
Cancer Immunoediting: Integrating Immunity’s Roles in Cancer Suppression and Promotion
Schreiber, R. D., Old, L. J., & Smyth, M. J. (2011) · Science · doi:10.1126/science.1203486 · Cited by 6,474
Immune Checkpoint Blockade: A Common Denominator Approach to Cancer Therapy
Topalian, S. L., Drake, C. G., & Pardoll, D. M. (2015) · Cancer Cell · doi:10.1016/j.ccell.2015.03.001 · Cited by 4,229
Partial-Volume Effect in PET Tumor Imaging
Soret, M., Bacharach, S. L., & Buvat, I. (2007) · Journal of Nuclear Medicine · doi:10.2967/jnumed.106.035774 · Cited by 1,549
Johnson, L. A., Morgan, R. A., Dudley, M. E., Cassard, L., Yang, J. C., Hughes, M. S., Kammula, U. S., Royal, R. E., Sherry, R. M., Wunderlich, J. R., et al. (2009) · Blood · doi:10.1182/blood-2009-03-211714 · Cited by 1,418
Gooden, M. J. M., de Bock, G. H., Leffers, N., Daemen, T., & Nijman, H. W. (2011) · British Journal of Cancer · doi:10.1038/bjc.2011.189 · Cited by 1,277
Immune infiltration in human tumors: a prognostic factor that should not be ignored
Pagès, F., Galon, J., Dieu-Nosjean, M.-C., Tartour, E., Sautès-Fridman, C., & Fridman, W.-H. (2010) · Oncogene · doi:10.1038/onc.2009.416 · Cited by 1,087
Therapy with monoclonal antibodies by elimination of T-cell subsets in vivo
Cobbold, S. P., Jayasuriya, A., Nash, A., Prospero, T. D., & Waldmann, H. (1984) · Nature · doi:10.1038/312548a0 · Cited by 863
Dijkers, E. C., Oude Munnink, T. H., Kosterink, J. G., Brouwers, A. H., Jager, P. L., de Jong, J. R., van Dongen, G. A., Schröder, C. P., Lub-de Hooge, M. N., & de Vries, E. G. (2010) · Clinical Pharmacology & Therapeutics · doi:10.1038/clpt.2010.12 · Cited by 805
Cited by
Approaches to treat immune hot, altered and cold tumours with combination immunotherapies
Galon, J., & Bruni, D. (2019) · Nature Reviews Drug Discovery · doi:10.1038/s41573-018-0007-y · Cited by 3,409
The immune contexture in cancer prognosis and treatment
Fridman, W. H., Zitvogel, L., Sautès–Fridman, C., & Kroemer, G. (2017) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2017.101 · Cited by 2,263
Hegde, P. S., Karanikas, V., & Evers, S. (2016) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-15-1507 · Cited by 1,000
Monitoring immune-checkpoint blockade: response evaluation and biomarker development
Nishino, M., Ramaiya, N. H., Hatabu, H., & Hodi, F. S. (2017) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2017.88 · Cited by 1,023
Targeting T Cell Co-receptors for Cancer Therapy
Callahan, M. K., Postow, M. A., & Wolchok, J. D. (2016) · Immunity · doi:10.1016/j.immuni.2016.04.023 · Cited by 469
Metadata
- Authors
- Tavaré, R., Escuin-Ordinas, H., Mok, S., McCracken, M. N., Zettlitz, K. A., Salazar, F. B., Witte, O. N., Ribas, A., & Wu, A. M.
- Venue
- Cancer Research
- Published
- 2016-01-01
- Volume
- 76
- Issue
- 1
- Pages
- 73-82
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- OpenAlex
- W2181134504
- Cited by
- 320
- References
- 40
- FWCI
- 16.50
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: An Effective Immuno-PET Imaging Method to Monitor CD8-Dependent Responses to Immunotherapy. https://app.cochat.ai/papers/10.1158/0008-5472.can-15-1707
- The paper
- Tavaré, R., Escuin-Ordinas, H., Mok, S., McCracken, M. N., Zettlitz, K. A., Salazar, F. B., Witte, O. N., Ribas, A., & Wu, A. M. (2016). An Effective Immuno-PET Imaging Method to Monitor CD8-Dependent Responses to Immunotherapy. Cancer Research. https://doi.org/10.1158/0008-5472.can-15-1707
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.