The DOI matches its Crossref record; 191 of the 191 references it cites were found in a registry or an index.
Molecular Heterogeneity and Immunosuppressive Microenvironment in Glioblastoma
Open accessAbstract
Glioblastoma (GBM) is the most aggressive primary brain tumor in adults, with a poor prognosis, despite surgical resection combined with radio- and chemotherapy. The major clinical obstacles contributing to poor GBM prognosis are late diagnosis, diffuse infiltration, pseudo-palisading necrosis, microvascular proliferation, and resistance to conventional therapy. These challenges are further compounded by extensive inter- and intra-tumor heterogeneity and the dynamic plasticity of GBM cells. The complex heterogeneous nature of GBM cells is facilitated by the local inflammatory tumor microenvironment, which mostly induces tumor aggressiveness and drug resistance. An immunosuppressive tumor microenvironment of GBM provides multiple pathways for tumor immune evasion. Infiltrating immune cells, mostly tumor-associated macrophages, comprise much of the non-neoplastic population in GBM. Further understanding of the immune microenvironment of GBM is essential to make advances in the development of immunotherapeutics. Recently, whole-genome sequencing, epigenomics and transcriptional profiling have significantly helped improve the prognostic and therapeutic outcomes of GBM patients. Here, we discuss recent genomic advances, the role of innate and adaptive immune mechanisms, and the presence of an established immunosuppressive GBM microenvironment that suppresses and/or prevents the anti-tumor host response.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
Glioma-Associated Cancer-Initiating Cells Induce Immunosuppression
Wei, J., Barr, J., Kong, L.-Y., Wang, Y., Wu, A., Sharma, A. K., Gumin, J., Henry, V., Colman, H., Sawaya, R., et al. (2010) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-09-1983 · Cited by 221
RetractedRadiotherapy 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
Comprehensive 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
MGMT Gene Silencing and Benefit from Temozolomide in Glioblastoma
Hegi, M. E., Diserens, A.-C., Gorlia, T., Hamou, M.-F., de Tribolet, N., Weller, M., Kros, J. M., Hainfellner, J. A., Mason, W., Mariani, L., et al. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa043331 · Cited by 7,405
An Integrated Genomic Analysis of Human Glioblastoma Multiforme
Parsons, D. W., Jones, S., Zhang, X., Lin, J. C.-H., Leary, R. J., Angenendt, P., Mankoo, P., Carter, H., Siu, I.-M., Gallia, G. L., et al. (2008) · Science · doi:10.1126/science.1164382 · Cited by 5,857
Resting microglial cells are highly dynamic surveillants of brain parenchyma in vivo
Nimmerjahn, A., Kirchhoff, F., & Helmchen, F. (2005) · Science · doi:10.1126/science.1110647 · Cited by 5,827
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
Immunotherapy for glioblastoma: current state, challenges, and future perspectives
Liu, Y., Zhou, F., Ali, H., Lathia, J. D., & Chen, P. (2024) · Cellular & Molecular Immunology · doi:10.1038/s41423-024-01226-x · Cited by 336
Dunkel, I. J., Doz, F., Foreman, N. K., Hargrave, D., Lassaletta, A., André, N., Hansford, J. R., Hassall, T., Eyrich, M., Gururangan, S., et al. (2023) · Neuro-Oncology · doi:10.1093/neuonc/noad031 · Cited by 73
Metadata
- Authors
- DeCordova, S., Shastri, A., Tsolaki, A. G., Yasmin, H., Klein, L., Singh, S. K., & Kishore, U.
- Venue
- Frontiers in Immunology
- Publisher
- Frontiers Media SA
- Published
- 2020-07-17
- Volume
- 11
- Pages
- 1402-1402
- ISSN
- 1664-3224 (ISSN-L)
- OpenAlex
- W3033869535
- Cited by
- 346
- References
- 191
- FWCI
- 19.24
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Molecular Heterogeneity and Immunosuppressive Microenvironment in Glioblastoma. https://app.cochat.ai/papers/10.3389/fimmu.2020.01402
- The paper
- DeCordova, S., Shastri, A., Tsolaki, A. G., Yasmin, H., Klein, L., Singh, S. K., & Kishore, U. (2020). Molecular Heterogeneity and Immunosuppressive Microenvironment in Glioblastoma. Frontiers in Immunology. https://doi.org/10.3389/fimmu.2020.01402
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
