The DOI matches its Crossref record; 134 of the 134 references it cites were found in a registry or an index.
Immunometabolic Interplay in the Tumor Microenvironment
Open accessAbstract
SUMMARY Immune cells’ metabolism influences their differentiation and functions. Given that a complex interplay of environmental factors within the tumor microenvironment (TME) can have a profound impact on the metabolic activities of various immune, stromal, and tumor cell types, there is emerging interest to advance understanding of these diverse metabolic phenotypes in the TME. Discussing various cell-extrinsic contributions to the metabolic activities of immune cells and recent technical advances in experimental systems and metabolic profiling technologies, we propose future directions to better understand how immune cells meet their metabolic demands in the TME, which can be leveraged for therapeutic benefit.
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Cites
Warburg, O. (1956) · Science · doi:10.1126/science.123.3191.309 · Cited by 13,425
The Immune Landscape of Cancer
Thorsson, V., Gibbs, D. L., Brown, S. D., Wolf, D., Bortone, D. S., Ou Yang, T.-H., Porta-Pardo, E., Gao, G. F., Plaisier, C. L., Eddy, J. A., et al. (2018) · Immunity · doi:10.1016/j.immuni.2018.03.023 · Cited by 5,870
Gut microbiota, metabolites and host immunity
Rooks, M. G., & Garrett, W. S. (2016) · Nature reviews. Immunology · doi:10.1038/nri.2016.42 · Cited by 3,409
Metabolic Competition in the Tumor Microenvironment Is a Driver of Cancer Progression
Chang, C.-H., Qiu, J., O’Sullivan, D., Buck, M. D., Noguchi, T., Curtis, J. D., Chen, Q., Gindin, M., Gubin, M. M., van der Windt, G. J. W., et al. (2015) · Cell · doi:10.1016/j.cell.2015.08.016 · Cited by 3,331
The prognostic landscape of genes and infiltrating immune cells across human cancers
Gentles, A. J., Newman, A. M., Liu, C. L., Bratman, S. V., Feng, W., Kim, D., Nair, V. S., Xu, Y., Khuong, A., Hoang, C. D., et al. (2015) · Nature Medicine · doi:10.1038/nm.3909 · Cited by 3,118
Aerobic glycolysis: Meeting the metabolic requirements of cell proliferation
Lunt, S. Y., & Vander Heiden, M. G. (2011) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-092910-154237 · Cited by 3,057
HMDB 3.0—The Human Metabolome Database in 2013
Wishart, D. S., Jewison, T., Guo, A. C., Wilson, M., Knox, C., Liu, Y., Djoumbou, Y., Mandal, R., Aziat, F., Dong, E., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1065 · Cited by 2,845
Posttranscriptional Control of T Cell Effector Function by Aerobic Glycolysis
Chang, C.-H., Curtis, J. D., Maggi, L. B., Faubert, B., Villarino, A. V., O’Sullivan, D., Huang, S. C.-C., van der Windt, G. J. W., Blagih, J., Qiu, J., et al. (2013) · Cell · doi:10.1016/j.cell.2013.05.016 · Cited by 2,204
Self-citationThe transcription factor Myc controls metabolic reprogramming upon T lymphocyte activation
Wang, R., Dillon, C. P., Shi, L. Z., Milasta, S., Carter, R., Finkelstein, D., McCormick, L. L., Fitzgerald, P., Chi, H., Munger, J., et al. (2011) · Immunity · doi:10.1016/j.immuni.2011.09.021 · Cited by 2,140 · cited 1×
“Although Hif1a deletion has been shown not to affect metabolic reprogramming of activated T cells (Wang et al., 2011), several studies have demonstrated that hypoxic conditions can have immunomodulatory effects (Lim et al.”
BackgroundMichalek, R. D., Gerriets, V. A., Jacobs, S. R., Macintyre, A. N., MacIver, N. J., Mason, E. F., Sullivan, S. A., Nichols, A. G., & Rathmell, J. C. (2011) · The Journal of Immunology · doi:10.4049/jimmunol.1003613 · Cited by 2,091
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PI3K/AKT/mTOR signaling transduction pathway and targeted therapies in cancer
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Self-citationLuo, H., Xia, X., Huang, L.-B., An, H., Cao, M., Kim, G. D., Chen, H.-N., Zhang, W.-H., Shu, Y., Kong, X., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-34395-2 · Cited by 567
Resistance Mechanisms to Anti-PD Cancer Immunotherapy
Vesely, M. D., Zhang, T., & Chen, L. (2022) · Annual Review of Immunology · doi:10.1146/annurev-immunol-070621-030155 · Cited by 468
Carbon source availability drives nutrient utilization in CD8+ T cells
Kaymak, I., Luda, K. M., Duimstra, L. R., Ma, E. H., Longo, J., Dahabieh, M. S., Faubert, B., Oswald, B. M., Watson, M. J., Kitchen-Goosen, S. M., et al. (2022) · Cell Metabolism · doi:10.1016/j.cmet.2022.07.012 · Cited by 160
Self-citationThe role of mesenchymal stem cells in cancer and prospects for their use in cancer therapeutics
Tang, J., Chen, Y., Wang, C., Xia, Y., Yu, T., Tang, M., Meng, K., Yin, L., Yang, Y., Shen, L., et al. (2024) · MedComm · doi:10.1002/mco2.663 · Cited by 31
Metadata
- Authors
- Kaymak, I., Williams, K. S., Cantor, J. R., & Jones, R. G.
- Venue
- Cancer Cell
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 39
- Issue
- 1
- Pages
- 28-37
- ISSN
- 1535-6108 (ISSN-L)
- OpenAlex
- W3097228396
- Cited by
- 328
- References
- 134
- FWCI
- 13.37
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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