The DOI matches its Crossref record; 92 of the 92 references it cites were found in a registry or an index.
Targeting the IDO1 pathway in cancer: from bench to bedside
Open accessAbstract
Indoleamine 2, 3-dioxygenases (IDO1 and IDO2) and tryptophan 2, 3-dioxygenase (TDO) are tryptophan catabolic enzymes that catalyze the conversion of tryptophan into kynurenine. The depletion of tryptophan and the increase in kynurenine exert important immunosuppressive functions by activating T regulatory cells and myeloid-derived suppressor cells, suppressing the functions of effector T and natural killer cells, and promoting neovascularization of solid tumors. Targeting IDO1 represents a therapeutic opportunity in cancer immunotherapy beyond checkpoint blockade or adoptive transfer of chimeric antigen receptor T cells. In this review, we discuss the function of the IDO1 pathway in tumor progression and immune surveillance. We highlight recent preclinical and clinical progress in targeting the IDO1 pathway in cancer therapeutics, including peptide vaccines, expression inhibitors, enzymatic inhibitors, and effector inhibitors.
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Cites
mTOR Signaling in Growth, Metabolism, and Disease
Saxton, R. A., & Sabatini, D. M. (2017) · Cell · doi:10.1016/j.cell.2017.02.004 · Cited by 7,555
Gut microbiome influences efficacy of PD-1-based immunotherapy against epithelial tumors
Routy, B., Le Chatelier, E., Derosa, L., Duong, C. P. M., Alou, M. T., Daillère, R., Fluckiger, A., Messaoudene, M., Rauber, C., Roberti, M. P., et al. (2018) · Science · doi:10.1126/science.aan3706 · Cited by 5,671
Gut microbiome modulates response to anti-PD-1 immunotherapy in melanoma patients
Gopalakrishnan, V., Spencer, C. N., Nezi, L., Reuben, A., Andrews, M. C., Karpinets, T. V., Prieto, P. A., Vicente, D., Hoffman, K., Wei, S. C., et al. (2018) · Science · doi:10.1126/science.aan4236 · Cited by 4,812
mTOR Signaling in Growth, Metabolism, and Disease
Saxton, R. A., & Sabatini, D. M. (2017) · Cell · doi:10.1016/j.cell.2017.03.035 · Cited by 2,070
An endogenous tumour-promoting ligand of the human aryl hydrocarbon receptor
Opitz, C. A., Litzenburger, U. M., Sahm, F., Ott, M., Tritschler, I., Trump, S., Schumacher, T., Jestaedt, L., Schrenk, D., Weller, M., et al. (2011) · Nature · doi:10.1038/nature10491 · Cited by 1,898
Inhibition of T Cell Proliferation by Macrophage Tryptophan Catabolism
Munn, D. H., Shafizadeh, E., Attwood, J. T., Bondarev, I., Pashine, A., & Mellor, A. L. (1999) · The Journal of Experimental Medicine · doi:10.1084/jem.189.9.1363 · Cited by 1,623
Pushalkar, S., Hundeyin, M., Daley, D., Zambirinis, C. P., Kurz, E., Mishra, A., Mohan, N., Aykut, B., Usyk, M., Torres, L. E., et al. (2018) · Cancer Discovery · doi:10.1158/2159-8290.cd-17-1134 · Cited by 1,400
Modulation of tryptophan catabolism by regulatory T cells
Fallarino, F., Grohmann, U., Hwang, K. W., Orabona, C., Vacca, C., Bianchi, R., Belladonna, M. L., Fioretti, M. C., Alegre, M.-L., & Puccetti, P. (2003) · Nature Immunology · doi:10.1038/ni1003 · Cited by 1,374
Impact of the Gut Microbiota on Intestinal Immunity Mediated by Tryptophan Metabolism
Gao, J., Xu, K., Liu, H., Liu, G., Bai, M., Peng, C., Li, T., & Yin, Y. (2018) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2018.00013 · Cited by 1,298
Munn, D. H., Sharma, M. D., Baban, B., Harding, H. P., Zhang, Y., Ron, D., & Mellor, A. L. (2005) · Immunity · doi:10.1016/j.immuni.2005.03.013 · Cited by 1,272
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Gillette, M. A., Satpathy, S., Cao, S., Dhanasekaran, S. M., Vasaikar, S. V., Krug, K., Petralia, F., Li, Y., Liang, W.-W., Reva, B., et al. (2020) · Cell · doi:10.1016/j.cell.2020.06.013 · Cited by 820
Self-citationTherapy-Induced Evolution of Human Lung Cancer Revealed by Single-Cell RNA Sequencing
Maynard, A., McCoach, C. E., Rotow, J. K., Harris, L., Haderk, F., Kerr, D. L., Yu, E. A., Schenk, E. L., Tan, W., Zee, A., et al. (2020) · Cell · doi:10.1016/j.cell.2020.07.017 · Cited by 685
Metadata
- Authors
- Liu, M., Wang, X., Wang, L., Ma, X., Gong, Z., Zhang, S., & Li, Y.
- Venue
- Journal of Hematology & Oncology
- Published
- 2018-08-02
- Volume
- 11
- Issue
- 1
- Pages
- 100-100
- ISSN
- 1756-8722 (ISSN-L)
- OpenAlex
- W2887449433
- Cited by
- 447
- References
- 92
- FWCI
- 13.90
- Type
- journal article
- Language
- en
- Open access
- gold
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- Liu, M., Wang, X., Wang, L., Ma, X., Gong, Z., Zhang, S., & Li, Y. (2018). Targeting the IDO1 pathway in cancer: from bench to bedside. Journal of Hematology & Oncology. https://doi.org/10.1186/s13045-018-0644-y
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