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Macrophages are an abundant component of myeloma microenvironment and protect myeloma cells from chemotherapy drug–induced apoptosis
Open accessAbstract
Multiple myeloma remains an incurable disease. One of the major problems is that myeloma cells develop drug resistance on interaction with bone marrow stromal cells. In this study, we examined the effects of macrophages (Mφs), a type of stromal cells, on myeloma cell survival and response to chemotherapy. We showed that Mφ, in particular tumor-associated Mφ, is a protector of myeloma cells. The protective effect was dependent on direct contact between Mφs and myeloma cells. Mφs protected both myeloma cell lines and primary myeloma cells from spontaneous and chemotherapy drug-induced apoptosis by attenuating the activation and cleavage of caspase-dependent apoptotic signaling. These findings are clinically relevant because we found that CD68+ Mφs heavily infiltrate the bone marrow of patients with myeloma but not the bone marrow of control patients. Thus, our results indicate that Mφs may contribute to myeloma cell survival and resistance to chemotherapeutic treatment in vivo.
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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
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Overdijk, M. B., Verploegen, S., Bögels, M., van Egmond, M., van Bueren, J. J. L., Mutis, T., Groen, R. W., Breij, E., Martens, A. C., Bleeker, W. K., et al. (2015) · mAbs · doi:10.1080/19420862.2015.1007813 · Cited by 521
Zavidij, O., Haradhvala, N. J., Mouhieddine, T. H., Sklavenitis-Pistofidis, R., Cai, S., Reidy, M., Rahmat, M., Flaifel, A., Ferland, B., Su, N. K., et al. (2020) · Nature Cancer · doi:10.1038/s43018-020-0053-3 · Cited by 374
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Overdijk, M. B., Jansen, J. H. M., Nederend, M., Lammerts van Bueren, J. J., Groen, R. W. J., Parren, P. W. H. I., Leusen, J. H. W., & Boross, P. (2016) · The Journal of Immunology · doi:10.4049/jimmunol.1501351 · Cited by 297
Weizman, N., Krelin, Y., Shabtay-Orbach, A., Amit, M., Binenbaum, Y., Wong, R. J., & Gil, Z. (2014) · Oncogene · doi:10.1038/onc.2013.357 · Cited by 281
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Wang, X., Li, C., Ju, S., Wang, Y., Wang, H., & Zhong, R. (2011) · Leukemia & Lymphoma · doi:10.3109/10428194.2011.591004 · Cited by 103
Hofbauer, D., Mougiakakos, D., Broggini, L., Zaiss, M., Büttner-Herold, M., Bach, C., Spriewald, B., Neumann, F., Bisht, S., Nolting, J., et al. (2021) · Immunity · doi:10.1016/j.immuni.2021.07.002 · Cited by 100
Pang, J., Shi, Q., Liu, Z., He, J., Liu, H., Lin, P., Cui, J., & Yang, J. (2017) · Haematologica · doi:10.3324/haematol.2016.154062 · Cited by 57
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Shen, X., Guo, Y., Yu, J., Qi, J., Shi, W., Wu, X., Ni, H., & Ju, S. (2016) · Clinical and Experimental Medicine · doi:10.1007/s10238-015-0355-4 · Cited by 37
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Metadata
- Authors
- Zheng, Y., Cai, Z., Wang, S., Zhang, X., Qian, J., Hong, S., Li, H., Wang, M., Yang, J., & Yi, Q.
- Venue
- Blood
- Publisher
- American Society of Hematology
- Published
- 2009-10-22
- Volume
- 114
- Issue
- 17
- Pages
- 3625-3628
- ISSN
- 0006-4971 (ISSN-L)
- 1528-0020
- OpenAlex
- W2033393138
- Cited by
- 307
- References
- 1
- FWCI
- 6.14
- Type
- journal article
- Language
- en
- Open access
- green
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