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Anti-CTLA-4 Immunotherapy Does Not Deplete FOXP3+ Regulatory T Cells (Tregs) in Human Cancers
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Abstract
Purpose: CTLA-4 was the first inhibitory immune checkpoint to be identified. Two mAbs, ipilimumab (IgG1) and tremelimumab (IgG2), which block the function of CTLA-4, have demonstrated durable clinical activity in a subset of patients with advanced solid malignancies by augmenting effector T-cell–mediated immune responses. Studies in mice suggest that anti-CTLA-4 mAbs may also selectively deplete intratumoral FOXP3+ regulatory T cells via an Fc-dependent mechanism. However, it is unclear whether the depletion of FOXP3+ cells occurs in patients with cancer treated with anti-CTLA-4 therapies. Experimental Design: Quantitative IHC was used to evaluate the densities of intratumoral CD4+, CD8+, and FOXP3+ cells in stage-matched melanoma (n = 19), prostate cancer (n = 17), and bladder cancer (n = 9) samples treated with ipilimumab and in paired melanoma tumors (n = 18) treated with tremelimumab. These findings were corroborated with multiparametric mass cytometry analysis of tumor-infiltrating cells from paired fresh melanoma tumors (n = 5) treated with ipilimumab. Results: Both ipilimumab and tremelimumab increase infiltration of intratumoral CD4+ and CD8+ cells without significantly changing or depleting FOXP3+ cells within the tumor microenvironment. Conclusions: Anti-CTLA-4 immunotherapy does not deplete FOXP3+ cells in human tumors, which suggests that their efficacy could be enhanced by modifying the Fc portions of the mAbs to enhance Fc-mediated depletion of intratumoral regulatory T cells. See related commentary by Quezada and Peggs, p. 1130
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“Anti-CTLA-4 therapy has been somewhat effective in melanoma and several other cancers, and blockade of the PD-1/PD-L1 axis is now first-line therapy for various tumor types, particularly melanoma and non-small cell lung carcinoma, with their combination being superior at the expense of enhanced adverse effects359,360.”
From TGFβ biology in cancer progression and immunotherapy (2021) · cites this paper as [359]
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“Anti-CTLA-4 therapy has been somewhat effective in melanoma and several other cancers, and blockade of the PD-1/PD-L1 axis is now first-line therapy for various tumor types, particularly melanoma and non-small cell lung carcinoma, with their combination being superior at the expense of enhanced adverse effects359,360.”
From TGFβ biology in cancer progression and immunotherapy (2021) · cites this paper as [359]
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Cites
Improved Survival with Ipilimumab in Patients with Metastatic Melanoma
Hodi, F. S., O'Day, S. J., McDermott, D. F., Weber, R. W., Sosman, J. A., Haanen, J. B., Gonzalez, R., Robert, C., Schadendorf, D., Hassel, J. C., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1003466 · Cited by 15,155
The future of immune checkpoint therapy
Sharma, P., & Allison, J. P. (2015) · Science · doi:10.1126/science.aaa8172 · Cited by 4,878
Self-citationIpilimumab plus Dacarbazine for Previously Untreated Metastatic Melanoma
Robert, C., Thomas, L., Bondarenko, I., O'Day, S., Weber, J., Garbe, C., Lebbe, C., Baurain, J.-F., Testori, A., Grob, J.-J., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1104621 · Cited by 4,496
Enhancement of Antitumor Immunity by CTLA-4 Blockade
Leach, D. R., Krummel, M. F., & Allison, J. P. (1996) · Science · doi:10.1126/science.271.5256.1734 · Cited by 3,955
Self-citationCTLA-4 Control over Foxp3 + Regulatory T Cell Function
Wing, K., Onishi, Y., Prieto-Martin, P., Yamaguchi, T., Miyara, M., Fehervari, Z., Nomura, T., & Sakaguchi, S. (2008) · Science · doi:10.1126/science.1160062 · Cited by 2,956
CD28 and CTLA-4 have opposing effects on the response of T cells to stimulation.
Krummel, M. F., & Allison, J. P. (1995) · The Journal of experimental medicine · doi:10.1084/jem.182.2.459 · Cited by 2,245 · cited 1×
“CTL-associated protein 4 (CTLA-4) is an inhibitory immune checkpoint receptor that plays a crucial role in modulating T-cell responses (1, 2).”
BackgroundSelf-citationTakahashi, T., Tagami, T., Yamazaki, S., Uede, T., Shimizu, J., Sakaguchi, N., Mak, T. W., & Sakaguchi, S. (2000) · The Journal of Experimental Medicine · doi:10.1084/jem.192.2.303 · Cited by 2,233
CTLA-4 can function as a negative regulator of T cell activation
Walunas, T. L., Lenschow, D. J., Bakker, C. Y., Linsley, P. S., Freeman, G. J., Green, J. M., Thompson, C. B., & Bluestone, J. A. (1994) · Immunity · doi:10.1016/1074-7613(94)90071-x · Cited by 2,222
Depletion of B cells in vivo by a chimeric mouse human monoclonal antibody to CD20
Reff, M., Carner, K., Chambers, K., Chinn, P., Leonard, J., Raab, R., Newman, R., Hanna, N., & Anderson, D. (1994) · Blood · doi:10.1182/blood.v83.2.435.435 · Cited by 1,996
Amir, E.-A. D., Davis, K. L., Tadmor, M. D., Simonds, E. F., Levine, J. H., Bendall, S. C., Shenfeld, D. K., Krishnaswamy, S., Nolan, G. P., & Pe'er, D. (2013) · Nature Biotechnology · doi:10.1038/nbt.2594 · Cited by 1,550
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Armero, M., Smolkin, M., García‐Domínguez, M., Berraondo, P., Melero, I., & Gálvez‐Cancino, F. (2025) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-25-0434 · Cited by 3
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Gall, C. M. L., Fennemann, F. L., van der Schoot, J. M. S., Scheeren, F. A., & Verdoes, M. (2023) · BIO-PROTOCOL · doi:10.21769/bioprotoc.4613 · Cited by 3
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Uchi, H. (2023) · The Journal of Dermatology · doi:10.1111/1346-8138.17068 · Cited by 3
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Ma, C., Harris, J., Morales, R. T., & Chen, W. (2019) · Wiley eBooks · doi:10.1002/9783527818341.ch5 · Cited by 3
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Wang, H., Gong, L., Huang, X., White, S. D., Chung, H. T.-K., Vesprini, D., Petchiny, T. N., Fokas, E., He, H. H., Kerbel, R. S., et al. (2024) · Cancers · doi:10.3390/cancers16162839 · Cited by 1
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Voglis, S., Schulz, D., Eling, N., de Souza, N., Regli, L., Neidert, M. C., Czabanka, M., Weller, M., Rhun, É. L., Mihic‐Probst, D., et al. (2026) · Neuro-Oncology · doi:10.1093/neuonc/noag128 · Cited by 1
Sun, Z.-J., Zhao, J., Zhao, M., Chen, Y., Zhang, X., Li, H., Wu, G., & Zhang, D. (2022) · Anti-Cancer Drugs · doi:10.1097/cad.0000000000001468 · Cited by 1
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Ai, G., Zhuravskii, D. A., & Gorelova, A. A. (2021) · Urology reports (St - Petersburg) · doi:10.17816/uroved83815
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Cañete‐Portillo, S., Cubilla, A. L., Netto, G. J., & Chaux, A. (2025) · medRxiv · doi:10.1101/2025.01.11.25320379
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Buszko, M., Jones, M., Chempati, S., Morina, L., Ward, K., Habte, H. H., Dziegielewski, M., & Shevach, E. M. (2025) · Oncotarget · doi:10.18632/oncotarget.28752
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Sousa, R. S., Geels, S. N., Murat, C., Moshensky, A., Villalta, S. A., Lowengrub, J. S., & Marangoni, F. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.31.685923
Lu, Z., Yin, Y., Rao, T., Xu, X., Zhao, K., Liu, Z., Qin, C., & Tang, M. (2024) · Figshare · doi:10.6084/m9.figshare.26704458
Zhang, G., Li, M., Zhou, D., Yang, X., Zhang, W., & Gao, R. (2022) · Figshare · doi:10.6084/m9.figshare.21261649
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Zhang, G., Li, M., Zhou, D., Yang, X., Zhang, W., & Gao, R. (2022) · Figshare · doi:10.6084/m9.figshare.21261643
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Lü, Y., Houson, H. A., Gallegos, C., Mascioni, A., Jia, F., Aivazian, A., Song, P. N., Lynch, S. E., Napier, T. S., Mansur, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26103786
Ellingsen, E. B., Bounova, G., Kerzeli, I. K., Anzar, I., Simnica, D., Aamdal, E., Guren, T. K., Clancy, T., Mezheyeuski, A., Inderberg, E. M., et al. (2022) · Figshare · doi:10.6084/m9.figshare.21080550
Zhang, G., Li, M., Zhou, D., Yang, X., Zhang, W., & Gao, R. (2022) · Figshare · doi:10.6084/m9.figshare.21261637
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Zhang, G., Li, M., Zhou, D., Yang, X., Zhang, W., & Gao, R. (2022) · Figshare · doi:10.6084/m9.figshare.21261646
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Lu, Z., Yin, Y., Rao, T., Xu, X., Zhao, K., Liu, Z., Qin, C., & Tang, M. (2024) · Figshare · doi:10.6084/m9.figshare.26704446
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Lu, Z., Yin, Y., Rao, T., Xu, X., Zhao, K., Liu, Z., Qin, C., & Tang, M. (2024) · Figshare · doi:10.6084/m9.figshare.26704461
Davis-Marcisak, E. F., Fitzgerald, A. A., Kessler, M. D., Danilova, L., Jaffee, E. M., Zaidi, N., Weiner, L. M., & Fertig, E. J. (2021) · Figshare · doi:10.6084/m9.figshare.15145874
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Caudana, P. (2018) · theses.fr (ABES) · doi:10.70675/8a93b17bz416az4e49z9a3bz92c1c8a4cf8c
Anquetil, C. (2021) · theses.fr (ABES) · doi:10.70675/dce475d2z4b83z4647z85aczea2eb971762b
Danlos, F. (2021) · theses.fr (ABES) · doi:10.70675/ff8cb58bzc391z43f8zbd32zc8c4b2cdc725
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Shukshin, A. A., Rubinstein, A., Головкин, А. С., Моисеева, О. М., & Kudryavtsev, I. V. (2026) · Medical academic journal · doi:10.17816/maj641690
George, M. M., Hamadene, L., Marouf, Y., Ceglia, N., Hirschhorn, D., Schulze, I., Dong, L., Venkatesh, D., Maniyar, R. R., Budhu, S., et al. (2026) · Cancer Research · doi:10.1158/0008-5472.can-25-3863
Encapsulated cell therapy for local anti-CTLA-4 delivery in cancer immunotherapy
Engel, A., Vernet, R., Charrier, E., Urwyler, M., Rohr, O. V., Saingier, V., Courtout, F., Abukscem, S., Bouvarel, T., Lathuilière, A., et al. (2026) · iScience · doi:10.1016/j.isci.2026.116938
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Xu, B., Ji, H., Fan, Y., Liu, J., Zhang, Y., & Wan, Y. (2026) · Chinese Chemical Letters · doi:10.1016/j.cclet.2026.113280
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Bautista, J., Delgado, M. D. C., Viteri-Recalde, J., Benítez-Núñez, M., Ramírez-Sánchez, D., & López-Cortés, A. (2026) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2026.1921036
Zhang, Y., Wang, H., Furukawa, N., Patil, A., Arulraj, T., & Popel, A. S. (2026) · ACS Pharmacology & Translational Science · doi:10.1021/acsptsci.6c00347
Wang, X., Liu, J., Hairulajiang, A., Wang, J., Wang, Q., Li, Z., Zou, B., & Feng, Y. (2026) · Molecular Cancer · doi:10.1186/s12943-026-02786-4
Integrating biology and mathematics to understand checkpoint immunotherapy
Sousa, R. S., Moshensky, A., Murat, C., Geels, S. N., Lowengrub, J. S., & Marangoni, F. (2026) · Trends in cancer · doi:10.1016/j.trecan.2026.09.004
Chen, X., Chen, C., & Yang, J. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1935158
Metadata
- Authors
- Sharma, A., Subudhi, S. K., Blando, J., Scutti, J., Vence, L., Wargo, J., Allison, J. P., Ribas, A., & Sharma, P.
- Affiliations
- The University of Texas MD Anderson Cancer Center (US)
- University of California, Los Angeles (US)
- Corresponding author
- Sharma, Padmanee
- ORCID
- Venue
- Clinical Cancer Research
- Published
- 2019-02-15
- Volume
- 25
- Issue
- 4
- Pages
- 1233-1238
- ISSN
- 1078-0432 (ISSN-L)
- 1557-3265
- PMC
- PMC6348141
- OpenAlex
- W4253193856
- Cited by
- 382
- References
- 33
- Citations by year
- 2026: 22 · 2025: 37 · 2024: 62 · 2023: 40 · 2022: 60 · 2021: 60 · 2020: 49 · 2019: 43
- FWCI
- 15.10
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Clinical Cancer Research (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- HHS | NIH | National Cancer Institute (NCI) (R01 CA1633793)
- Prostate Cancer Foundation (PCF) (2014 Stewart Rahr-PCF Young Investigator)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Keywords
- CTLA-4, anti-CTLA-4 immunotherapy, Foxp3+ regulatory T cells, ipilimumab, tremelimumab, tumor-infiltrating lymphocytes, tumor microenvironment, melanoma, prostate cancer, bladder cancer, mass cytometry, immune checkpoint blockade
- MeSH terms
- Ipilimumab, Urinary Bladder Neoplasms, Female, Humans, Male, Melanoma, Prostatic Neoplasms, CD4-Positive T-Lymphocytes, Lymphocytes, Tumor-Infiltrating, Paraffin Embedding, CD8-Positive T-Lymphocytes, Cell Lineage, Forkhead Transcription Factors, Tumor Microenvironment, CTLA-4 Antigen, Antibodies, Monoclonal, Humanized
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