The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Regulatory T Cells in the Tumor Microenvironment and Cancer Progression: Role and Therapeutic Targeting
Open accessAbstract
Recent years have seen significant efforts in understanding and modulating the immune response in cancer. In this context, immunosuppressive cells, including regulatory T cells (Tregs) and myeloid-derived suppressor cells (MDSCs), have come under intense investigation for their proposed roles in suppressing tumor-specific immune responses and establishing an immunosuppressive tumor microenvironment, thus enabling tumor immune evasion. Additionally, recent evidence indicates that Tregs comprise diverse and heterogeneous subsets; phenotypically and functionally distinct subsets of tumor-infiltrating Tregs could contribute differently to cancer prognosis and clinical outcomes. Understanding Treg biology in the setting of cancer, and specifically the tumor microenvironment, is important for designing effective cancer therapies. In this review, we critically examine the role of Tregs in the tumor microenvironment and in cancer progression focusing on human studies. We also discuss the impact of current therapeutic modalities on Treg biology and the therapeutic opportunities for targeting Tregs to enhance anti-tumor immune responses and clinical benefits.
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
PD-1 blockade induces responses by inhibiting adaptive immune resistance
Tumeh, P. C., Harview, C. L., Yearley, J. H., Shintaku, I. P., Taylor, E. J. M., Robert, L., Chmielowski, B., Spasic, M., Henry, G., Ciobanu, V., et al. (2014) · Nature · doi:10.1038/nature13954 · Cited by 6,609
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
The immune contexture in human tumours: impact on clinical outcome
Fridman, W. H., Pagès, F., Sautès-Fridman, C., & Galon, J. (2012) · Nature reviews. Cancer · doi:10.1038/nrc3245 · Cited by 4,981
Nivolumab plus Ipilimumab in Advanced Melanoma
Wolchok, J. D., Kluger, H., Callahan, M. K., Postow, M. A., Rizvi, N. A., Lesokhin, A. M., Segal, N. H., Ariyan, C. E., Gordon, R.-A., Reed, K., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1302369 · Cited by 4,230
Innate and adaptive immune cells in the tumor microenvironment
Gajewski, T. F., Schreiber, H., & Fu, Y.-X. (2013) · Nature Immunology · doi:10.1038/ni.2703 · Cited by 4,148
Radiation and dual checkpoint blockade activate non-redundant immune mechanisms in cancer
Twyman-Saint Victor, C., Rech, A. J., Maity, A., Rengan, R., Pauken, K. E., Stelekati, E., Benci, J. L., Xu, B., Dada, H., Odorizzi, P. M., et al. (2015) · Nature · doi:10.1038/nature14292 · Cited by 2,434
The tumor microenvironment and its role in promoting tumor growth
Whiteside, T. L. (2008) · Oncogene · doi:10.1038/onc.2008.271 · Cited by 2,376
CTLA-4 and PD-1 Pathways: Similarities, Differences, and Implications of Their Inhibition
Buchbinder, E. I., & Desai, A. (2016) · American Journal of Clinical Oncology · doi:10.1097/coc.0000000000000239 · Cited by 2,360 · cited 3×
“PD-1 is highly upregulated on “exhausted” T cells, inhibiting T cell proliferation, IFN-γ and IL-2 production [52].”
BackgroundTopalian, S. L., Sznol, M., McDermott, D. F., Kluger, H. M., Carvajal, R. D., Sharfman, W. H., Brahmer, J. R., Lawrence, D. P., Atkins, M. B., Powderly, J. D., et al. (2014) · Journal of Clinical Oncology · doi:10.1200/jco.2013.53.0105 · Cited by 2,222
Tumour hypoxia promotes tolerance and angiogenesis via CCL28 and Treg cells
Facciabene, A., Peng, X., Hagemann, I. S., Balint, K., Barchetti, A., Wang, L.-P., Gimotty, P. A., Gilks, C. B., Lal, P., Zhang, L., et al. (2011) · Nature · doi:10.1038/nature10169 · Cited by 1,376
Cited by
Primary, Adaptive, and Acquired Resistance to Cancer Immunotherapy
Sharma, P., Hu-Lieskovan, S., Wargo, J. A., & Ribas, A. (2017) · Cell · doi:10.1016/j.cell.2017.01.017 · Cited by 5,588
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
Lim, C. J., Lee, Y. H., Pan, L., Lai, L., Chua, C., Wasser, M., Lim, T. K. H., Yeong, J., Toh, H. C., Lee, S. Y., et al. (2019) · Gut · doi:10.1136/gutjnl-2018-316510 · Cited by 357
Metal Drugs and the Anticancer Immune Response
Englinger, B., Pirker, C., Heffeter, P., Terenzi, A., Kowol, C. R., Keppler, B. K., & Berger, W. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00396 · Cited by 355
TIGIT and PD-1 dual checkpoint blockade enhances antitumor immunity and survival in GBM
Hung, A. L., Maxwell, R., Theodros, D., Belcaid, Z., Mathios, D., Luksik, A. S., Kim, E., Wu, A., Xia, Y., Garzon-Muvdi, T., et al. (2018) · OncoImmunology · doi:10.1080/2162402x.2018.1466769 · Cited by 336
Metadata
- Authors
- Chaudhary, B., & Elkord, E.
- Venue
- Vaccines
- Publisher
- MDPI AG
- Published
- 2016-08-06
- Volume
- 4
- Issue
- 3
- Pages
- 28
- ISSN
- 2076-393X (ISSN-L)
- OpenAlex
- W2518249323
- Cited by
- 511
- References
- 21
- FWCI
- 29.11
- Type
- journal article
- Language
- en
- Open access
- gold
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: Regulatory T Cells in the Tumor Microenvironment and Cancer Progression: Role and Therapeutic Targeting. https://app.cochat.ai/papers/10.3390/vaccines4030028
- The paper
- Chaudhary, B., & Elkord, E. (2016). Regulatory T Cells in the Tumor Microenvironment and Cancer Progression: Role and Therapeutic Targeting. Vaccines. https://doi.org/10.3390/vaccines4030028
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.