The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Cold Tumors: A Therapeutic Challenge for Immunotherapy
Open accessAbstract
Therapeutic monoclonal antibodies targeting immune checkpoints (ICPs) have changed the treatment landscape of many tumors. However, response rate remains relatively low in most cases. A major factor involved in initial resistance to ICP inhibitors is the lack or paucity of tumor T cell infiltration, characterizing the so-called "cold tumors." In this review, we describe the main mechanisms involved in the absence of T cell infiltration, including lack of tumor antigens, defect in antigen presentation, absence of T cell activation and deficit of homing into the tumor bed. We discuss then the different therapeutic approaches that could turn cold into hot tumors. In this way, specific therapies are proposed according to their mechanism of action. In addition, ''supra-physiological'' therapies, such as T cell recruiting bispecific antibodies and Chimeric Antigen Receptor (CAR) T cells, may be active regardless of the mechanism involved, especially in MHC class I negative tumors. The determination of the main factors implicated in the lack of preexisting tumor T cell infiltration is crucial for the development of adapted algorithms of treatments for cold tumors.
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Janeway, C. A., & Medzhitov, R. (2002) · Annual Review of Immunology · doi:10.1146/annurev.immunol.20.083001.084359 · Cited by 8,394
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
TGFβ attenuates tumour response to PD-L1 blockade by contributing to exclusion of T cells
Mariathasan, S., Turley, S. J., Nickles, D., Castiglioni, A., Yuen, K., Wang, Y., Kadel III, E. E., Koeppen, H., Astarita, J. L., Cubas, R., et al. (2018) · Nature · doi:10.1038/nature25501 · Cited by 5,400
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
Immunogenic Cell Death in Cancer Therapy
Kroemer, G., Galluzzi, L., Kepp, O., & Zitvogel, L. (2013) · Annual Review of Immunology · doi:10.1146/annurev-immunol-032712-100008 · Cited by 3,303
Tumor mutational burden and response rate to PD-1 inhibition
Yarchoan, M., Hopkins, A., & Jaffee, E. M. (2017) · New England Journal of Medicine · doi:10.1056/nejmc1713444 · Cited by 3,230
An immunogenic personal neoantigen vaccine for patients with melanoma
Ott, P. A., Hu, Z., Keskin, D. B., Shukla, S. A., Sun, J., Bozym, D. J., Zhang, W., Luoma, A., Giobbie-Hurder, A., Peter, L., et al. (2017) · Nature · doi:10.1038/nature22991 · Cited by 2,936
Melanoma-intrinsic β-catenin signalling prevents anti-tumour immunity
Spranger, S., Bao, R., & Gajewski, T. F. (2015) · Nature · doi:10.1038/nature14404 · Cited by 2,830
Personalized RNA mutanome vaccines mobilize poly-specific therapeutic immunity against cancer
Sahin, U., Derhovanessian, E., Miller, M., Kloke, B.-P., Simon, P., Löwer, M., Bukur, V., Tadmor, A. D., Luxemburger, U., Schrörs, B., et al. (2017) · Nature · doi:10.1038/nature23003 · Cited by 2,488
Merad, M., Sathe, P., Helft, J., Miller, J., & Mortha, A. (2013) · Annual Review of Immunology · doi:10.1146/annurev-immunol-020711-074950 · Cited by 2,309
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Turning cold tumors hot: from molecular mechanisms to clinical applications
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Xiao, W., Jiang, W., Chen, Z., Huang, Y., Mao, J., Zheng, W., Hu, Y., & Shi, J. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-02107-5 · Cited by 449
Oncolytic Viruses and the Immune System: The Dynamic Duo
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Metadata
- Authors
- Bonaventura, P., Shekarian, T., Alcazer, V., Valladeau-Guilemond, J., Valsesia-Wittmann, S., Amigorena, S., Caux, C., & Depil, S.
- Venue
- Frontiers in Immunology
- Publisher
- Frontiers Media SA
- Published
- 2019-02-08
- Volume
- 10
- Pages
- 168-168
- ISSN
- 1664-3224 (ISSN-L)
- OpenAlex
- W2914345456
- Cited by
- 1,108
- References
- 27
- FWCI
- 47.34
- Type
- journal article
- Language
- en
- Open access
- gold
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- Bonaventura, P., Shekarian, T., Alcazer, V., Valladeau-Guilemond, J., Valsesia-Wittmann, S., Amigorena, S., Caux, C., & Depil, S. (2019). Cold Tumors: A Therapeutic Challenge for Immunotherapy. Frontiers in Immunology. https://doi.org/10.3389/fimmu.2019.00168
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