The DOI matches its Crossref record.
Epidermal growth factor receptors in non-small cell lung cancer
Open accessAbstract
The epidermal growth factor receptor is homologous to the oncogene erb-beta and is the receptor for a class of tumour growth factors (TGF-alpha). The clinical correlations with its expression were studied in 77 non-small cell lung cancers (NSCLC). They were stained for epidermal growth factor receptor (EGFr) by means of an indirect immunoperoxidase technique using a monoclonal antibody against the receptor. Normal lung tissue and normal bronchus were stained for comparison. Cancer tissue showed significantly increased staining compared to normal lung (P less than 0.05). Staining for EGFr in 40 squamous carcinomas was significantly stronger than in 37 specimens of other types of NSCLC (P less than 0.05), and staining in stage three NSCLC was stronger than in stage 1 and 2 (P less than 0.05). These results suggest that the presence of a high intensity of staining for EGF receptor is associated with spread of human non-small cell lung cancer and this receptor may be a suitable target for 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
Cited by
Epidermal growth factor receptor mutations in lung cancer
Sharma, S. V., Bell, D. W., Settleman, J., & Haber, D. A. (2007) · Nature Reviews Cancer · doi:10.1038/nrc2088 · Cited by 3,170
Epidermal Growth Factor Receptor Cell Proliferation Signaling Pathways
Wee, P., & Wang, Z. (2017) · Cancers · doi:10.3390/cancers9050052 · Cited by 2,027
Understanding resistance to EGFR inhibitors—impact on future treatment strategies
Wheeler, D. L., Dunn, E. F., & Harari, P. M. (2010) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2010.97 · Cited by 683
Metadata
- Authors
- Veale, D., Ashcroft, T., Marsh, C., Gibson, G., & Harris, A.
- Venue
- British Journal of Cancer
- Published
- 1987-05
- Volume
- 55
- Issue
- 5
- Pages
- 513-516
- ISSN
- 0007-0920 (ISSN-L)
- 1532-1827
- OpenAlex
- W2056780782
- Cited by
- 327
- References
- 0
- FWCI
- 6.78
- 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: Epidermal growth factor receptors in non-small cell lung cancer. https://app.cochat.ai/papers/10.1038/bjc.1987.104
- The paper
- Veale, D., Ashcroft, T., Marsh, C., Gibson, G., & Harris, A. (1987). Epidermal growth factor receptors in non-small cell lung cancer. British Journal of Cancer. https://doi.org/10.1038/bjc.1987.104
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.
