The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Interleukin-1 Beta—A Friend or Foe in Malignancies?
Open accessAbstract
Interleukin-1 beta (IL-1β) is induced by inflammatory signals in a broad number of immune cell types. IL-1β (and IL-18) are the only cytokines which are processed by caspase-1 after inflammasome-mediated activation. This review aims to summarize current knowledge about parameters of regulation of IL-1β expression and its multi-facetted role in pathophysiological conditions. IL-1 signaling activates innate immune cells including antigen presenting cells, and drives polarization of CD4+ T cells towards T helper type (Th) 1 and Th17 cells. Therefore, IL-1β has been attributed a largely beneficial role in resolving acute inflammations, and by initiating adaptive anti-tumor responses. However, IL-1β generated in the course of chronic inflammation supports tumor development. Furthermore, IL-1β generated within the tumor microenvironment predominantly by tumor-infiltrating macrophages promotes tumor growth and metastasis via different mechanisms. These include the expression of IL-1 targets which promote neoangiogenesis and of soluble mediators in cancer-associated fibroblasts that evoke antiapoptotic signaling in tumor cells. Moreover, IL-1 promotes the propagation of myeloid-derived suppressor cells. Using genetic mouse models as well as agents for pharmacological inhibition of IL-1 signaling therapeutically applied for treatment of IL-1 associated autoimmune diseases indicate that IL-1β is a driver of tumor induction and development.
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MANTOVANI, A., SOZZANI, S., LOCATI, M., ALLAVENA, P., & SICA, A. (2002) · Trends in Immunology · doi:10.1016/s1471-4906(02)02302-5 · Cited by 5,528
Tumor-Associated Macrophages: From Mechanisms to Therapy
Noy, R., & Pollard, J. W. (2014) · Immunity · doi:10.1016/j.immuni.2014.06.010 · Cited by 4,089
Coordinated regulation of myeloid cells by tumours
Gabrilovich, D. I., Ostrand-Rosenberg, S., & Bronte, V. (2012) · Nature Reviews Immunology · doi:10.1038/nri3175 · Cited by 3,544
The interleukin-1 family: back to the future
Garlanda, C., Dinarello, C. A., & Mantovani, A. (2013) · Immunity · doi:10.1016/j.immuni.2013.11.010 · Cited by 1,945 · cited 3×
“In addition, in the case of chronic inflammation, sustained IL-1β may promote both tumor induction and later on also tumor propagation by different mechanisms [2].”
BackgroundInfluentialGhiringhelli, F., Apetoh, L., Tesniere, A., Aymeric, L., Ma, Y., Ortiz, C., Vermaelen, K., Panaretakis, T., Mignot, G., Ullrich, E., et al. (2009) · Nature Medicine · doi:10.1038/nm.2028 · Cited by 1,898
Acosta-Rodriguez, E. V., Napolitani, G., Lanzavecchia, A., & Sallusto, F. (2007) · Nature Immunology · doi:10.1038/ni1496 · Cited by 1,857
Masters, S. L., Dunne, A., Subramanian, S. L., Hull, R. L., Tannahill, G. M., Sharp, F. A., Becker, C., Franchi, L., Yoshihara, E., Chen, Z., et al. (2010) · Nature Immunology · doi:10.1038/ni.1935 · Cited by 1,330 · cited 1×
“Furthermore, minimally oxidized low density lipoproteins were found to be elevated in diabetic patients which triggered IL-1β gene expression via TLR4 engagement [169].”
BackgroundNEK7 is an essential mediator of NLRP3 activation downstream of potassium efflux
He, Y., Zeng, M. Y., Yang, D., Motro, B., & Núñez, G. (2016) · Nature · doi:10.1038/nature16959 · Cited by 1,295
Clinical Course and Prognosis of Smoldering (Asymptomatic) Multiple Myeloma
Kyle, R. A., Remstein, E. D., Therneau, T. M., Dispenzieri, A., Kurtin, P. J., Hodnefield, J. M., Larson, D. R., Plevak, M. F., Jelinek, D. F., Fonseca, R., et al. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa070389 · Cited by 921
Pathogen-induced human TH17 cells produce IFN-γ or IL-10 and are regulated by IL-1β
Zielinski, C. E., Mele, F., Aschenbrenner, D., Jarrossay, D., Ronchi, F., Gattorno, M., Monticelli, S., Lanzavecchia, A., & Sallusto, F. (2012) · Nature · doi:10.1038/nature10957 · Cited by 919
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RhoA as a Key Regulator of Innate and Adaptive Immunity
Bros, M., Haas, K., Moll, L., & Grabbe, S. (2019) · Cells · doi:10.3390/cells8070733 · Cited by 193
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Isola, G., Polizzi, A., Santonocito, S., Alibrandi, A., & Williams, R. C. (2022) · Journal of Periodontology · doi:10.1002/jper.21-0049 · Cited by 148
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Alarcón-Sánchez, M. A., Heboyan, A., Fernandes, G. V. D. O., Castro-Alarcón, N., & Romero-Castro, N. S. (2023) · Molecules · doi:10.3390/molecules28031075 · Cited by 52
Ebeling, M. C., Geng, Z., Kapphahn, R. J., Roehrich, H., Montezuma, S. R., Dutton, J. R., & Ferrington, D. A. (2021) · Cells · doi:10.3390/cells10040789 · Cited by 51
Zolondick, A. A., Gaudino, G., Xue, J., Pass, H. I., Carbone, M., & Yang, H. (2021) · Precision Cancer Medicine · doi:10.21037/pcm-21-12 · Cited by 41
Ayuso, J. M., Sadangi, S., Lares, M., Rehman, S., Humayun, M., Denecke, K. M., Skala, M. C., Beebe, D. J., & Setaluri, V. (2021) · Lab on a Chip · doi:10.1039/d0lc00988a · Cited by 39
Investigating Immunomodulatory Biomaterials for Preventing the Foreign Body Response
Kim, A., Downer, M. A., Berry, C. E., Valencia, C., Fazilat, A. Z., & Griffin, M. (2023) · Bioengineering · doi:10.3390/bioengineering10121411 · Cited by 38
IL-22 Signaling in the Tumor Microenvironment
Jiang, R., & Sun, B. (2021) · Advances in Experimental Medicine and Biology · doi:10.1007/978-3-030-55617-4_5 · Cited by 35
A review of canakinumab and its therapeutic potential for non-small cell lung cancer
Schenk, K. M., Reuss, J. E., Choquette, K., & Spira, A. I. (2019) · Anti-Cancer Drugs · doi:10.1097/cad.0000000000000832 · Cited by 22
Mirata, S., Almonti, V., Di Giuseppe, D., Fornasini, L., Raneri, S., Vernazza, S., Bersani, D., Gualtieri, A. F., Bassi, A. M., & Scarfì, S. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23052840 · Cited by 21
Metadata
- Authors
- Bent, R., Moll, L., Grabbe, S., & Bros, M.
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2018-07-24
- Volume
- 19
- Issue
- 8
- Pages
- 2155
- ISSN
- 1422-0067 (ISSN-L)
- OpenAlex
- W2883276763
- Cited by
- 444
- References
- 26
- FWCI
- 10.36
- Type
- journal article
- Language
- en
- Open access
- gold
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