The DOI matches its Crossref record; 202 of the 202 references it cites were found in a registry or an index.
T Cell Dysfunction in Cancer
Open accessAbstract
Therapeutic reinvigoration of tumor-specific T cells has greatly improved clinical outcome in cancer. Nevertheless, many patients still do not achieve durable benefit. Recent evidence from studies in murine and human cancer suggest that intratumoral T cells display a broad spectrum of (dys-)functional states, shaped by the multifaceted suppressive signals that occur within the tumor microenvironment. Here we discuss the current understanding of T cell dysfunction in cancer, the value of novel technologies to dissect such dysfunction at the single cell level, and how our emerging understanding of T cell dysfunction may be utilized to develop personalized strategies to restore antitumor immunity.
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1 retracted
TIGIT predominantly regulates the immune response via regulatory T cells
Kurtulus, S., Sakuishi, K., Ngiow, S.-F., Joller, N., Tan, D. J., Teng, M. W. L., Smyth, M. J., Kuchroo, V. K., & Anderson, A. C. (2015) · Journal of Clinical Investigation · doi:10.1172/jci81187 · Cited by 551
RetractedPD-1 and PD-L1 Immune Checkpoint Blockade to Treat Breast Cancer
Hartkopf, A. D., Taran, F.-A., Wallwiener, M., Walter, C. B., Krämer, B., Grischke, E.-M., & Brucker, S. Y. (2016) · Breast Care · doi:10.1159/000453569 · Cited by 30,845
Understanding the Warburg Effect: The Metabolic Requirements of Cell Proliferation
Vander Heiden, M. G., Cantley, L. C., & Thompson, C. B. (2009) · Science · doi:10.1126/science.1160809 · Cited by 16,197
Adverse Renal Effects of Immune Checkpoint Inhibitors: A Narrative Review
Wanchoo, R., Karam, S., Uppal, N. N., Barta, V. S., Deray, G., Devoe, C., Launay-Vacher, V., Jhaveri, K. D., & on behalf of Cancer and Kidney International Network Workgroup on Immune Checkpoint Inhibitors (2017) · American Journal of Nephrology · doi:10.1159/000455014 · Cited by 15,256
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
Signatures of mutational processes in human cancer
Initiative, A. P. C. G., Alexandrov, L. B., ICGC Breast Cancer Consortium, ICGC MMML-Seq Consortium, PedBrain, I., Nik-Zainal, S., Wedge, D. C., Aparicio, S. A. J. R., Behjati, S., Biankin, A. V., et al. (2013) · Nature · doi:10.1038/nature12477 · Cited by 9,660
Self-citationNivolumab versus docetaxel in advanced nonsquamous non-small-cell lung cancer
Borghaei, H., Paz-Ares, L., Horn, L., Spigel, D. R., Steins, M., Ready, N. E., Chow, L. Q., Vokes, E. E., Felip, E., Holgado, E., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1507643 · Cited by 9,335
Nivolumab versus Docetaxel in Advanced Squamous-Cell Non–Small-Cell Lung Cancer
Brahmer, J., Reckamp, K. L., Baas, P., Crinò, L., Eberhardt, W. E. E., Poddubskaya, E., Antonia, S., Pluzanski, A., Vokes, E. E., Holgado, E., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1504627 · Cited by 8,447
Combined Nivolumab and Ipilimumab or Monotherapy in Untreated Melanoma
Larkin, J., Chiarion-Sileni, V., Gonzalez, R., Grob, J. J., Cowey, C. L., Lao, C. D., Schadendorf, D., Dummer, R., Smylie, M., Rutkowski, P., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1504030 · Cited by 8,157
Oncology meets immunology: the cancer-immunity cycle.
Chen, D. S., & Mellman, I. (2013) · Immunity · doi:10.1016/j.immuni.2013.07.012 · Cited by 6,929
Cited by
Mao, X., Xu, J., Wang, W., Liang, C., Hua, J., Liu, J., Zhang, B., Meng, Q., Yu, X., & Shi, S. (2021) · Molecular Cancer · doi:10.1186/s12943-021-01428-1 · Cited by 2,290
Miller, B. C., Sen, D. R., Al Abosy, R., Bi, K., Virkud, Y. V., LaFleur, M. W., Yates, K. B., Lako, A., Felt, K., Naik, G. S., et al. (2019) · Nature Immunology · doi:10.1038/s41590-019-0312-6 · Cited by 2,087
Cytotoxic CD8+ T cells in cancer and cancer immunotherapy
Raskov, H., Orhan, A., Christensen, J. P., & Gögenur, I. (2021) · British Journal of Cancer · doi:10.1038/s41416-020-01048-4 · Cited by 1,687
Pan-cancer single-cell landscape of tumor-infiltrating T cells
Zheng, L., Qin, S., Si, W., Wang, A., Xing, B., Gao, R., Ren, X., Wang, L., Wu, X., Zhang, J., et al. (2021) · Science · doi:10.1126/science.abe6474 · Cited by 1,402
TOX is a critical regulator of tumour-specific T cell differentiation
Scott, A. C., Dündar, F., Zumbo, P., Chandran, S. S., Klebanoff, C. A., Shakiba, M., Trivedi, P., Menocal, L., Appleby, H., Camara, S., et al. (2019) · Nature · doi:10.1038/s41586-019-1324-y · Cited by 1,106
Metadata
- Authors
- Thommen, D. S., & Schumacher, T. N.
- Venue
- Cancer Cell
- Publisher
- Elsevier BV
- Published
- 2018-04
- Volume
- 33
- Issue
- 4
- Pages
- 547-562
- ISSN
- 1535-6108 (ISSN-L)
- OpenAlex
- W2797429263
- Cited by
- 1,299
- References
- 202
- FWCI
- 37.33
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Thommen, D. S., & Schumacher, T. N. (2018). T Cell Dysfunction in Cancer. Cancer Cell. https://doi.org/10.1016/j.ccell.2018.03.012
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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.