The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Radiation Enhances Regulatory T Cell Representation
Open accessAbstract
PURPOSE Immunotherapy (IT) could be a useful adjunct to standard cytotoxic therapies such as radiation in patients with micrometastatic disease although successful integration of IT into treatment protocols will require further understanding of how standard therapies affect the generation of anti-tumor immune responses. This study was undertaken to evaluate the impact of radiation therapy on immunosuppressive T regulatory (Treg) cells. MATERIALS and METHODS Tregs were identified as a CD4+CD25hiFoxp3+ lymphocyte subset and their fate followed in a murine TRAMP-C1 model of prostate cancer in mice with and without radiation therapy. RESULTS CD4+CD25hiFoxp3+ Treg cells increased in immune organs following local leg or whole body radiation. A large part, but not all, of this increase following leg-only irradiation could be ascribed to radiation scatter and Tregs being intrinsically more radiation resistant than other lymphocyte subpopulations resulting in their selection. Their functional activity on a per cell basis was not affected by radiation exposure. Similar findings were made with mice receiving local RT to murine prostate tumors growing in the leg. The importance of the Treg population in the response to RT was shown by systemic elimination of Tregs, which greatly enhanced radiation-induced tumor regression. CONCLUSIONS We conclude that Tregs are more resistant to radiation than other lymphocytes resulting in their preferential increase. Treg cells may form an important homeostatic mechanism for tissues injured by radiation, and in a tumor context may assist in immune evasion during therapy. Targeting this population may allow enhancement of radiotherapeutic benefit through immune modulation.
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
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
Chen, W., Jin, W., Hardegen, N., Lei, K.-J., Li, L., Marinos, N., McGrady, G., & Wahl, S. M. (2003) · The Journal of Experimental Medicine · doi:10.1084/jem.20030152 · Cited by 4,699
Sakaguchi, S. (2004) · Annual Review of Immunology · doi:10.1146/annurev.immunol.21.120601.141122 · Cited by 3,306
CD4+CD25+ suppressor T cells: more questions than answers
Shevach, E. M. (2002) · Nature Reviews Immunology · doi:10.1038/nri821 · Cited by 2,110
Dewan, M. Z., Galloway, A. E., Kawashima, N., Dewyngaert, J. K., Babb, J. S., Formenti, S. C., & Demaria, S. (2009) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-09-0265 · Cited by 1,678
Liyanage, U. K., Moore, T. T., Joo, H.-G., Tanaka, Y., Herrmann, V., Doherty, G., Drebin, J. A., Strasberg, S. M., Eberlein, T. J., Goedegebuure, P. S., et al. (2002) · The Journal of Immunology · doi:10.4049/jimmunol.169.5.2756 · Cited by 1,467
Natural versus adaptive regulatory T cells
Bluestone, J. A., & Abbas, A. K. (2003) · Nature Reviews Immunology · doi:10.1038/nri1032 · Cited by 1,323
Dannull, J. (2005) · Journal of Clinical Investigation · doi:10.1172/jci25947 · Cited by 989
Fontenot, J. D., & Rudensky, A. Y. (2005) · Nature Immunology · doi:10.1038/ni1179 · Cited by 950
Cutting Edge: Cure of Colitis by CD4+CD25+ Regulatory T Cells
Mottet, C., Uhlig, H. H., & Powrie, F. (2003) · The Journal of Immunology · doi:10.4049/jimmunol.170.8.3939 · Cited by 927
Cited by
The Tumour Microenvironment after Radiotherapy: Mechanisms of Resistance and Recurrence
Barker, H. E., Paget, J. T. E., Khan, A. A., & Harrington, K. J. (2015) · Nature Reviews Cancer · doi:10.1038/nrc3958 · Cited by 2,144
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
Maximizing Tumor Immunity With Fractionated Radiation
Schaue, D., Ratikan, J. A., Iwamoto, K. S., & McBride, W. H. (2012) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2011.09.049 · Cited by 567
Self-citationSheng, H., Huang, Y., Xiao, Y., Zhu, Z., Shen, M., Zhou, P., Guo, Z., Wang, J., Wang, H., Dai, W., et al. (2020) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2019-000340 · Cited by 228
Physical modalities inducing immunogenic tumor cell death for cancer immunotherapy
Adkins, I., Fucikova, J., Garg, A. D., Agostinis, P., & Špíšek, R. (2014) · OncoImmunology · doi:10.4161/21624011.2014.968434 · Cited by 200
Metadata
- Authors
- Kachikwu, E. L., Iwamoto, K. S., Liao, Y.-P., DeMarco, J. J., Agazaryan, N., Economou, J. S., McBride, W. H., & Schaue, D.
- Venue
- International Journal of Radiation Oncology*Biology*Physics
- Publisher
- Elsevier BV
- Published
- 2011-11
- Volume
- 81
- Issue
- 4
- Pages
- 1128-1135
- ISSN
- 0360-3016 (ISSN-L)
- OpenAlex
- W2168244200
- Cited by
- 429
- References
- 31
- FWCI
- 3.51
- Type
- journal article
- Language
- en
- Open access
- green
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: Radiation Enhances Regulatory T Cell Representation. https://app.cochat.ai/papers/10.1016/j.ijrobp.2010.09.034
- The paper
- Kachikwu, E. L., Iwamoto, K. S., Liao, Y.-P., DeMarco, J. J., Agazaryan, N., Economou, J. S., McBride, W. H., & Schaue, D. (2011). Radiation Enhances Regulatory T Cell Representation. International Journal of Radiation Oncology*Biology*Physics. https://doi.org/10.1016/j.ijrobp.2010.09.034
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.