The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Transdifferentiation of glioblastoma cells into vascular endothelial cells
Open accessAbstract
Glioblastoma (GBM) is the most malignant brain tumor and is highly resistant to intensive combination therapies and anti-VEGF therapies. To assess the resistance mechanism to anti-VEGF therapy, we examined the vessels of GBMs in tumors that were induced by the transduction of p53 +/− heterozygous mice with lentiviral vectors containing oncogenes and the marker GFP in the hippocampus of GFAP-Cre recombinase (Cre) mice. We were surprised to observe GFP + vascular endothelial cells (ECs). Transplantation of mouse GBM cells revealed that the tumor-derived endothelial cells (TDECs) originated from tumor-initiating cells and did not result from cell fusion of ECs and tumor cells. An in vitro differentiation assay suggested that hypoxia is an important factor in the differentiation of tumor cells to ECs and is independent of VEGF. TDEC formation was not only resistant to an anti-VEGF receptor inhibitor in mouse GBMs but it led to an increase in their frequency. A xenograft model of human GBM spheres from clinical specimens and direct clinical samples from patients with GBM also showed the presence of TDECs. We suggest that the TDEC is an important player in the resistance to anti-VEGF therapy, and hence a potential target for GBM therapy.
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
Jaakkola, P., Mole, D. R., Tian, Y.-M., Wilson, M. I., Gielbert, J., Gaskell, S. J., Kriegsheim, A. V., Hebestreit, H. F., Mukherji, M., Schofield, C. J., et al. (2001) · Science · doi:10.1126/science.1059796 · Cited by 5,535
HIFα Targeted for VHL-Mediated Destruction by Proline Hydroxylation: Implications for O 2 Sensing
Ivan, M., Kondo, K., Yang, H., Kim, W., Valiando, J., Ohh, M., Salic, A., Asara, J. M., Lane, W. S., & Kaelin Jr., W. G. (2001) · Science · doi:10.1126/science.1059817 · Cited by 4,735
Tumorigenesis and the angiogenic switch
Bergers, G., & Benjamin, L. E. (2003) · Nature reviews. Cancer · doi:10.1038/nrc1093 · Cited by 3,559
Modes of resistance to anti-angiogenic therapy
Bergers, G., & Hanahan, D. (2008) · Nature Reviews Cancer · doi:10.1038/nrc2442 · Cited by 2,953 · cited 1×
“Mechanisms proposed to explain resistance to anti-VEGF therapy include activation of other proangiogenic signaling pathways, recruitment of bone marrow (BM)-derived myeloid cells that protect and nurture vascular cells, protection of blood vessels by increased pericyte coverage, and increased tumor invasion (4, 5).”
Background
Cited by
Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma
Patel, A. P., Tirosh, I., Trombetta, J. J., Shalek, A. K., Gillespie, S. M., Wakimoto, H., Cahill, D. P., Nahed, B. V., Curry, W. T., Martuza, R. L., et al. (2014) · Science · doi:10.1126/science.1254257 · Cited by 5,063
Microenvironmental regulation of tumour angiogenesis
De Palma, M., Biziato, D., & Petrova, T. V. (2017) · Nature Reviews Cancer · doi:10.1038/nrc.2017.51 · Cited by 1,847
Tumour vascularization via endothelial differentiation of glioblastoma stem-like cells
Ricci-Vitiani, L., Pallini, R., Biffoni, M., Todaro, M., Invernici, G., Cenci, T., Maira, G., Parati, E. A., Stassi, G., Larocca, L. M., et al. (2010) · Nature · doi:10.1038/nature09557 · Cited by 1,379
Cancer stem cells as key drivers of tumour progression
Ayob, A. Z., & Ramasamy, T. S. (2018) · Journal of Biomedical Science · doi:10.1186/s12929-018-0426-4 · Cited by 910
Metadata
- Authors
- Soda, Y., Marumoto, T., Friedmann-Morvinski, D., Soda, M., Liu, F., Michiue, H., Pastorino, S., Yang, M., Hoffman, R. M., Kesari, S., & Verma, I. M.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2011-01-24
- Volume
- 108
- Issue
- 11
- Pages
- 4274-4280
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2041617965
- Cited by
- 515
- References
- 4
- FWCI
- 19.87
- Type
- journal article
- Language
- en
- Open access
- green
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: Transdifferentiation of glioblastoma cells into vascular endothelial cells. https://app.cochat.ai/papers/10.1073/pnas.1016030108
- The paper
- Soda, Y., Marumoto, T., Friedmann-Morvinski, D., Soda, M., Liu, F., Michiue, H., Pastorino, S., Yang, M., Hoffman, R. M., Kesari, S., & Verma, I. M. (2011). Transdifferentiation of glioblastoma cells into vascular endothelial cells. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1016030108
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.
