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Tumor-Derived Retinoic Acid Regulates Intratumoral Monocyte Differentiation to Promote Immune Suppression
Open accessAbstract
SUMMARY The immunosuppressive tumor microenvironment (TME) is a major barrier to immunotherapy. Within solid tumors, why monocytes preferentially differentiate into immunosuppressive tumor-associated macrophages (TAMs) rather than immunostimulatory dendritic cells (DCs) remains unclear. Using multiple murine sarcoma models, we find that the TME induces tumor cells to produce retinoic acid (RA), which polarizes intratumoral monocyte differentiation toward TAMs and away from DCs via suppression of DC-promoting transcription factor Irf4. Genetic inhibition of RA production in tumor cells or pharmacologic inhibition of RA signaling within TME increases stimulatory monocyte-derived cells, enhances T cell-dependent anti-tumor immunity, and synergizes with immune checkpoint blockade. Furthermore, an RA-responsive gene signature in human monocytes correlates with an immunosuppressive TME in multiple human tumors. RA has been considered as an anti-cancer agent, whereas our work demonstrates its tumorigenic capability via myeloid-mediated immune suppression and provides proof of concept for targeting this pathway for tumor immunotherapy.
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Cites
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
Understanding the tumor immune microenvironment (TIME) for effective therapy
Binnewies, M., Roberts, E. W., Kersten, K., Chan, V., Fearon, D. F., Merad, M., Coussens, L. M., Gabrilovich, D. I., Ostrand-Rosenberg, S., Hedrick, C. C., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0014-x · Cited by 6,145
UALCAN: A Portal for Facilitating Tumor Subgroup Gene Expression and Survival Analyses
Chandrashekar, D. S., Bashel, B., Balasubramanya, S. A. H., Creighton, C. J., Ponce-Rodriguez, I., Chakravarthi, B. V. S. K., & Varambally, S. (2017) · Neoplasia · doi:10.1016/j.neo.2017.05.002 · Cited by 6,086
The immune contexture in human tumours: impact on clinical outcome
Fridman, W. H., Pagès, F., Sautès-Fridman, C., & Galon, J. (2012) · Nature reviews. Cancer · doi:10.1038/nrc3245 · Cited by 4,981
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
Immunosuppressive networks in the tumour environment and their therapeutic relevance
Zou, W. (2005) · Nature Reviews Cancer · doi:10.1038/nrc1586 · Cited by 2,057
Broz, M. L., Binnewies, M., Boldajipour, B., Nelson, A. E., Pollack, J. L., Erle, D. J., Barczak, A., Rosenblum, M. D., Daud, A., Barber, D. L., et al. (2014) · Cancer Cell · doi:10.1016/j.ccell.2014.09.007 · Cited by 1,207
PI3Kγ is a molecular switch that controls immune suppression
Kaneda, M. M., Messer, K. S., Ralainirina, N., Li, H., Leem, C. J., Gorjestani, S., Woo, G., Nguyen, A. V., Figueiredo, C. C., Foubert, P., et al. (2016) · Nature · doi:10.1038/nature19834 · Cited by 1,173
Retinoic Acid Synthesis and Signaling during Early Organogenesis
Duester, G. (2008) · Cell · doi:10.1016/j.cell.2008.09.002 · Cited by 1,098
ER Stress Sensor XBP1 Controls Anti-tumor Immunity by Disrupting Dendritic Cell Homeostasis
Cubillos-Ruiz, J. R., Silberman, P. C., Rutkowski, M. R., Chopra, S., Perales-Puchalt, A., Song, M., Zhang, S., Bettigole, S. E., Gupta, D., Holcomb, K., et al. (2015) · Cell · doi:10.1016/j.cell.2015.05.025 · Cited by 933
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Mantovani, A., Allavena, P., Marchesi, F., & Garlanda, C. (2022) · Nature Reviews Drug Discovery · doi:10.1038/s41573-022-00520-5 · Cited by 1,807
The updated landscape of tumor microenvironment and drug repurposing
Jin, M.-Z., & Jin, W.-L. (2020) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-00280-x · Cited by 1,262
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Wang, H., Kim, S. J., Lei, Y., Wang, S., Wang, H., Huang, H., Zhang, H., & Tsung, A. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01933-x · Cited by 537
Metabolic regulatory crosstalk between tumor microenvironment and tumor-associated macrophages
Chen, D., Zhang, X., Li, Z., & Zhu, B. (2021) · Theranostics · doi:10.7150/thno.51777 · Cited by 390
Lipid-loaded macrophages as new therapeutic target in cancer
Marelli, G., Morina, N., Portale, F., Pandini, M., Iovino, M., Di Conza, G., Ho, P.-C., & Di Mitri, D. (2022) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2022-004584 · Cited by 69
Metadata
- Authors
- Devalaraja, S., To, T. K. J., Folkert, I. W., Natesan, R., Alam, M. Z., Li, M., Tada, Y., Budagyan, K., Dang, M. T., Zhai, L., Lobel, G. P., Ciotti, G. E., Eisinger-Mathason, T. S. K., Asangani, I. A., Weber, K., Simon, M. C., & Haldar, M.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2020-03
- Volume
- 180
- Issue
- 6
- Pages
- 1098-1114.e16
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W3012041454
- Cited by
- 257
- References
- 55
- FWCI
- 10.84
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Devalaraja, S., To, T. K. J., Folkert, I. W., Natesan, R., Alam, M. Z., Li, M., Tada, Y., Budagyan, K., Dang, M. T., Zhai, L., Lobel, G. P., Ciotti, G. E., Eisinger-Mathason, T. S. K., Asangani, I. A., Weber, K., Simon, M. C., & Haldar, M. (2020). Tumor-Derived Retinoic Acid Regulates Intratumoral Monocyte Differentiation to Promote Immune Suppression. Cell. https://doi.org/10.1016/j.cell.2020.02.042
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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.
