The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Dynamic Treg interactions with intratumoral APCs promote local CTL dysfunction
Open accessAbstract
Tregs control various functions of effector T cells; however, where and how Tregs exert their immunomodulatory effects remain poorly understood. Here we developed a murine model of adoptive T cell therapy and found that Tregs induce a dysfunctional state in tumor-infiltrating CTLs that resembles T cell exhaustion and is characterized by low expression of effector cytokines, inefficient cytotoxic granule release, and coexpression of coinhibitory receptors PD-1 and TIM-3. Induction of CTL dysfunction was an active process, requiring local TCR signals in tumor tissue. Tregs infiltrated tumors only subsequent to Ag-dependent activation and expansion in tumor-draining LNs; however, Tregs also required local Ag reencounter within tumor tissue to induce CTL dysfunction and prevent tumor rejection. Multiphoton intravital microscopy revealed that in contrast to CTLs, Tregs only rarely and briefly interrupted their migration in tumor tissue in an Ag-dependent manner and formed unstable tethering-interactions with CD11c+ APCs, coinciding with a marked reduction of CD80 and CD86 on APCs. Activation of CTLs by Treg-conditioned CD80/86lo DCs promoted enhanced expression of both TIM-3 and PD-1. Based on these data, we propose that Tregs locally change the costimulatory landscape in tumor tissue through transient, Ag-dependent interactions with APCs, thus inducing CTL dysfunction by altering the balance of costimulatory and coinhibitory signals these cells receive.
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
Safety, activity, and immune correlates of anti–PD-1 antibody in cancer
Topalian, S. L., Hodi, F. S., Brahmer, J. R., Gettinger, S. N., Smith, D. C., McDermott, D. F., Powderly, J. D., Carvajal, R. D., Sosman, J. A., Atkins, M. B., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1200690 · Cited by 12,628
Safety and activity of anti-PD-L1 antibody in patients with advanced cancer
Brahmer, J. R., Tykodi, S. S., Chow, L. Q. M., Hwu, W.-J., Topalian, S. L., Hwu, P., Drake, C. G., Camacho, L. H., Kauh, J., Odunsi, K., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1200694 · Cited by 7,945
Curiel, T. J., Coukos, G., Zou, L., Alvarez, X., Cheng, P., Mottram, P., Evdemon-Hogan, M., Conejo-Garcia, J. R., Zhang, L., Burow, M., et al. (2004) · Nature Medicine · doi:10.1038/nm1093 · Cited by 5,151
Wherry, E. J. (2011) · Nature Immunology · doi:10.1038/ni.2035 · Cited by 4,062 · cited 2×
“In the present study, we found that tumor-infiltrating Tregs promoted the rapid induction of a state of functional hyporesponsiveness in CTLs that was characterized by impaired cytokine secretion and cytotoxic granule release, as well as coexpression of the coinhibitory receptors PD-1 and TIM-3, hallmarks of what has…”
Molecular mechanisms of T cell co-stimulation and co-inhibition
Chen, L., & Flies, D. B. (2013) · Nature Reviews Immunology · doi:10.1038/nri3405 · Cited by 3,114
Regulatory T cells: mechanisms of differentiation and function
Josefowicz, S. Z., Lu, L.-F., & Rudensky, A. Y. (2012) · Annual Review of Immunology · doi:10.1146/annurev.immunol.25.022106.141623 · Cited by 2,866
Targeting Tim-3 and PD-1 pathways to reverse T cell exhaustion and restore anti-tumor immunity
Sakuishi, K., Apetoh, L., Sullivan, J. M., Blazar, B. R., Kuchroo, V. K., & Anderson, A. C. (2010) · Journal of Experimental Medicine · doi:10.1084/jem.20100643 · Cited by 2,072
Trans-endocytosis of CD80 and CD86: a molecular basis for the cell-extrinsic function of CTLA-4
Qureshi, O. S., Zheng, Y., Nakamura, K., Attridge, K., Manzotti, C., Schmidt, E. M., Baker, J., Jeffery, L. E., Kaur, S., Briggs, Z., et al. (2011) · Science · doi:10.1126/science.1202947 · Cited by 1,860 · cited 2×
“Here we found that rapid downregulation of CD80 and CD86 on DCs (27, 28) occurred most effectively when Tregs encountered their cognate Ag on DCs in vitro.”
Ahmadzadeh, M., Johnson, L. A., Heemskerk, B., Wunderlich, J. R., Dudley, M. E., White, D. E., & Rosenberg, S. A. (2009) · Blood · doi:10.1182/blood-2008-12-195792 · Cited by 1,766
Adoptive immunotherapy for cancer: harnessing the T cell response
Restifo, N. P., Dudley, M. E., & Rosenberg, S. A. (2012) · Nature Reviews Immunology · doi:10.1038/nri3191 · Cited by 1,688
Cited by
CDK4/6 inhibition triggers anti-tumour immunity
Goel, S., DeCristo, M. J., Watt, A. C., BrinJones, H., Sceneay, J., Li, B. B., Khan, N., Ubellacker, J. M., Xie, S., Metzger-Filho, O., et al. (2017) · Nature · doi:10.1038/nature23465 · Cited by 1,513
Regulatory T (Treg) cells in cancer: Can Treg cells be a new therapeutic target?
Ohue, Y., & Nishikawa, H. (2019) · Cancer Science · doi:10.1111/cas.14069 · Cited by 1,041
Cancer nanomedicine for combination cancer immunotherapy
Nam, J., Son, S., Park, K. S., Zou, W., Shea, L. D., & Moon, J. J. (2019) · Nature Reviews Materials · doi:10.1038/s41578-019-0108-1 · Cited by 940
The Transcription Factor NFAT Promotes Exhaustion of Activated CD8 + T Cells
Martinez, G. J., Pereira, R. M., Äijö, T., Kim, E. Y., Marangoni, F., Pipkin, M. E., Togher, S., Heissmeyer, V., Zhang, Y. C., Crotty, S., et al. (2015) · Immunity · doi:10.1016/j.immuni.2015.01.006 · Cited by 857
“In Vivo Tumor Model Single-cell suspensions from spleens and LNs of CL4 mice were pulsed with 10 mM HA515–523 peptide for 1 hr at 37 C, then cultured with 10 ng/ml murine rIL-12 for the first 2 days and 20 ng/ml murine rIL-2 for the following 5 days as previously described (Bauer et al., 2014).”
InfluentialSelf-citationKumagai, S., Koyama, S., Itahashi, K., Tanegashima, T., Lin, Y.-T., Togashi, Y., Kamada, T., Irie, T., Okumura, G., Kono, H., et al. (2022) · Cancer Cell · doi:10.1016/j.ccell.2022.01.001 · Cited by 892
Metadata
- Authors
- Bauer, C. A., Kim, E. Y., Marangoni, F., Carrizosa, E., Claudio, N. M., & Mempel, T. R.
- Venue
- Journal of Clinical Investigation
- Published
- 2014-05-08
- Volume
- 124
- Issue
- 6
- Pages
- 2425-2440
- ISSN
- 0021-9738 (ISSN-L)
- OpenAlex
- W2169859344
- Cited by
- 238
- References
- 16
- FWCI
- 7.65
- 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: Dynamic Treg interactions with intratumoral APCs promote local CTL dysfunction. https://app.cochat.ai/papers/10.1172/jci66375
- The paper
- Bauer, C. A., Kim, E. Y., Marangoni, F., Carrizosa, E., Claudio, N. M., & Mempel, T. R. (2014). Dynamic Treg interactions with intratumoral APCs promote local CTL dysfunction. Journal of Clinical Investigation. https://doi.org/10.1172/jci66375
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.