The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.
Immune Microenvironment in Glioblastoma Subtypes
Open accessAbstract
Glioblastomas (GBMs) are the most common and aggressive primary brain tumors. Due to their malignant growth and invasion into the brain parenchyma coupled with resistance to therapy, GBMs are among the deadliest of all cancers. GBMs are highly heterogeneous at both the molecular and histological levels. Hallmark histological structures include pseudopalisading necrosis and microvascular proliferation. In addition to high levels of intratumoral heterogeneity, GBMs also exhibit high levels of inter-tumoral heterogeneity. The major non-neoplastic cell population in the GBM microenvironment includes cells of the innate immune system called tumor-associated macrophages (TAMs). Correlative data from the literature suggest that molecularly distinct GBM subtypes exhibit differences in their microenvironment. Data from mouse models of GBM suggest that genetic driver mutations can create unique microenvironments. Here, we review the origin, features, and functions of TAMs in distinct GBM subtypes. We also discuss their interactions with other immune cell constituents and discuss prospects of therapeutically targeting TAMs to increase the efficacy of T-cell functions.
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Cites
PD-1 and PD-L1 Immune Checkpoint Blockade to Treat Breast Cancer
Hartkopf, A. D., Taran, F.-A., Wallwiener, M., Walter, C. B., Krämer, B., Grischke, E.-M., & Brucker, S. Y. (2016) · Breast Care · doi:10.1159/000453569 · Cited by 30,845
Radiotherapy Plus Concomitant and Adjuvant Temozolomide for Glioblastoma
Stupp, R., Mason, W. P., van den Bent, M. J., Weller, M., Fisher, B., Taphoorn, M. J. B., Belanger, K., Brandes, A. A., Marosi, C., Bogdahn, U., et al. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa043330 · Cited by 21,807
The blockade of immune checkpoints in cancer immunotherapy
Pardoll, D. M. (2012) · Nature Reviews Cancer · doi:10.1038/nrc3239 · Cited by 13,838
Ostrom, Q. T., Gittleman, H., Farah, P., Ondracek, A., Chen, Y., Wolinsky, Y., Stroup, N. E., Kruchko, C., & Barnholtz-Sloan, J. S. (2013) · Neuro-Oncology · doi:10.1093/neuonc/not151 · Cited by 11,994
Exploring the full spectrum of macrophage activation
Mosser, D. M., & Edwards, J. P. (2008) · Nature Reviews Immunology · doi:10.1038/nri2448 · Cited by 9,144 · cited 1×
“Subsequently, a range of differentiation has been proposed, with the M1 and M2 phenotypes being at the ends of the spectrum (53).”
BackgroundComprehensive genomic characterization defines human glioblastoma genes and core pathways
The Cancer Genome Atlas Research Network (2008) · Nature · doi:10.1038/nature07385 · Cited by 7,735
Verhaak, R. G. W., Hoadley, K. A., Purdom, E., Wang, V., Qi, Y., Wilkerson, M. D., Miller, C. R., Ding, L., Golub, T., Mesirov, J. P., et al. (2010) · Cancer Cell · doi:10.1016/j.ccr.2009.12.020 · Cited by 7,575
Alternative activation of macrophages
Gordon, S. (2003) · Nature Reviews Immunology · doi:10.1038/nri978 · Cited by 6,189
Monocyte and macrophage heterogeneity
Gordon, S., & Taylor, P. R. (2005) · Nature Reviews Immunology · doi:10.1038/nri1733 · Cited by 5,190
Fate Mapping Analysis Reveals That Adult Microglia Derive from Primitive Macrophages
Ginhoux, F., Greter, M., Leboeuf, M., Nandi, S., See, P., Gokhan, S., Mehler, M. F., Conway, S. J., Ng, L. G., Stanley, E. R., et al. (2010) · Science · doi:10.1126/science.1194637 · Cited by 5,175
Cited by
Proteogenomic and metabolomic characterization of human glioblastoma
Wang, L.-B., Karpova, A., Gritsenko, M. A., Kyle, J. E., Cao, S., Li, Y., Rykunov, D., Colaprico, A., Rothstein, J. H., Hong, R., et al. (2021) · Cancer Cell · doi:10.1016/j.ccell.2021.01.006 · Cited by 661
Exosomal noncoding RNAs in Glioma: biological functions and potential clinical applications
Cheng, J., Meng, J., Zhu, L., & Peng, Y. (2020) · Molecular Cancer · doi:10.1186/s12943-020-01189-3 · Cited by 319
Chen, C., Jing, W., Chen, Y., Wang, G., Abdalla, M., Gao, L., Han, M., Shi, C., Li, A., Sun, P., et al. (2022) · Science Translational Medicine · doi:10.1126/scitranslmed.abn1128 · Cited by 291
The Many Facets of Therapy Resistance and Tumor Recurrence in Glioblastoma
Goenka, A., Tiek, D., Song, X., Huang, T., Hu, B., & Cheng, S.-Y. (2021) · Cells · doi:10.3390/cells10030484 · Cited by 169
Glioblastoma Microenvironment and Cellular Interactions
Crivii, C.-B., Boșca, A. B., Melincovici, C. S., Constantin, A.-M., Mărginean, M., Dronca, E., Suflețel, R., Gonciar, D., Bungărdean, M., & Șovrea, A. (2022) · Cancers · doi:10.3390/cancers14041092 · Cited by 81
Metadata
- Authors
- Chen, Z., & Hambardzumyan, D.
- Venue
- Frontiers in Immunology
- Publisher
- Frontiers Media SA
- Published
- 2018-05-08
- Volume
- 9
- Pages
- 1004-1004
- ISSN
- 1664-3224 (ISSN-L)
- OpenAlex
- W2799441834
- Cited by
- 432
- References
- 78
- FWCI
- 19.51
- Type
- journal article
- Language
- en
- Open access
- gold
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