The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A mutant epidermal growth factor receptor common in human glioma confers enhanced tumorigenicity.
Open accessAbstract
The development and neoplastic progression of human astrocytic tumors appears to result through an accumulation of genetic alterations occurring in a relatively defined order. One such alteration is amplification of the epidermal growth factor receptor (EGFR) gene. This episomal amplification occurs in 40-50% of glioblastomas, which also normally express endogenous receptors. Moreover, a significant fraction of amplified genes are rearranged to specifically eliminate a DNA fragment containing exons 2-7 of the gene, resulting in an in-frame deletion of 801 bp of the coding sequence of the extracellular domain. Here we used retroviral transfer of such a mutant receptor (de 2-7 EGFR) into glioblastoma cells expressing normal endogenous receptors to test whether the mutant receptor was able to augment their growth and malignancy. Western blotting analysis showed that these cells expressed endogenous EGFR of 170 kDa as well as the exogenous de 2-7 EGFR of 140-155 kDa. Although holo-EGFRs were phosphorylated on tyrosine residues only after exposure of the cells to ligand, de 2-7 EGFRs were constitutively phosphorylated. In tissue culture neither addition of EGF nor expression of the mutant EGFR affected the rate of cell growth. However, when cells expressing mutant EGFR were implanted into nude mice subcutaneously or intracerebrally, tumorigenic capacity was greatly enhanced. These results suggest that a tumor-specific alteration of the EGFR plays a significant role in tumor progression perhaps by influencing interactions of tumor cells with their microenvironment in ways not easily assayed in vitro.
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
Nowell, P. C. (1976) · Science · doi:10.1126/science.959840 · Cited by 6,471
Autophosphorylation sites on the epidermal growth factor receptor
Downward, J., Parker, P., & Waterfield, M. D. (1984) · Nature · doi:10.1038/311483a0 · Cited by 704
Cited by
Malignant astrocytic glioma: genetics, biology, and paths to treatment
Furnari, F. B., Fenton, T., Bachoo, R. M., Mukasa, A., Stommel, J. M., Stegh, A., Hahn, W. C., Ligon, K. L., Louis, D. N., Brennan, C., et al. (2007) · Genes & Development · doi:10.1101/gad.1596707 · Cited by 2,316
Self-citationEpidermal growth factor receptor: Mechanisms of activation and signalling
Jorissen, R. (2003) · Experimental Cell Research · doi:10.1016/s0014-4827(02)00098-8 · Cited by 1,565
Status of Epidermal Growth Factor Receptor Antagonists in the Biology and Treatment of Cancer
Mendelsohn, J., & Baselga, J. (2003) · Journal of Clinical Oncology · doi:10.1200/jco.2003.01.504 · Cited by 1,255
ERBB Receptors: From Oncogene Discovery to Basic Science to Mechanism-Based Cancer Therapeutics
Arteaga, C. L., & Engelman, J. A. (2014) · Cancer Cell · doi:10.1016/j.ccr.2014.02.025 · Cited by 1,048
“EGFRvIII exhibits constitutive dimerization, impaired downregulation, and aberrant tyrosine kinase activity, all resulting in enhanced tumorigenicity (Nishikawa et al., 1994).”
BackgroundCoactivation of receptor tyrosine kinases affects the response of tumor cells to targeted therapies
Stommel, J. M., Kimmelman, A. C., Ying, H., Nabioullin, R., Ponugoti, A. H., Wiedemeyer, R., Stegh, A. H., Bradner, J. E., Ligon, K. L., Brennan, C., et al. (2007) · Science · doi:10.1126/science.1142946 · Cited by 938
Metadata
- Authors
- Nishikawa, R., Ji, X. D., Harmon, R. C., Lazar, C. S., Gill, G. N., Cavenee, W. K., & Huang, H. J.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 1994-08-02
- Volume
- 91
- Issue
- 16
- Pages
- 7727-7731
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2013878898
- Cited by
- 936
- References
- 2
- FWCI
- 10.34
- 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: A mutant epidermal growth factor receptor common in human glioma confers enhanced tumorigenicity. https://app.cochat.ai/papers/10.1073/pnas.91.16.7727
- The paper
- Nishikawa, R., Ji, X. D., Harmon, R. C., Lazar, C. S., Gill, G. N., Cavenee, W. K., & Huang, H. J. (1994). A mutant epidermal growth factor receptor common in human glioma confers enhanced tumorigenicity. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.91.16.7727
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.