The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
EGFR Mutations in Non–Small-Cell Lung Cancer: Analysis of a Large Series of Cases and Development of a Rapid and Sensitive Method for Diagnostic Screening With Potential Implications on Pharmacologic Treatment
Abstract
Purpose: It has been reported that EGFR mutations in lung carcinomas make the disease more responsive to treatment with tyrosine kinase inhibitors. We decided to evaluate the prevalence of EGFR mutations in a large series of non–small-cell lung carcinomas (NSCLCs) and to develop a rapid and sensitive screening method. Patients and Methods: We examined 860 consecutive NSCLC patients for EGFR mutations in exons 18, 19, and 21 using a dual technical approach—direct sequencing of polymerase chain reaction (PCR) products and PCR single-strand conformation polymorphism (SSCP) analysis. Moreover, all lung adenocarcinomas were analyzed for K-ras mutations at codon 12 by allele-specific oligoprobe hybriditations. Results: There were no EGFR mutations in 454 squamous carcinomas and 31 large cell carcinomas investigated. Thirty-nine mutations were found in the series of 375 adenocarcinomas (10%). Mutations were present in 26% of 86 bronchioloalveolar carcinomas (BACs) and in 6% of 289 conventional lung adenocarcinomas; P = .000002. EGFR mutations and K-ras mutations were mutually exclusive. A multivariable analysis revealed that BAC histotype, being a never smoker, and female sex were independently associated with EGFR mutations (odds ratios: 4.542, 3.632, and 2.895, respectively). The SSCP analysis was accurate and sensitive, allowing identification of mutations that were undetectable (21% of cases) by direct sequencing. Conclusion: Mutations in the EGFR tyrosine kinase domain define a new molecular type of lung carcinoma, more frequent in particular subsets of patients. The SSCP assay is a rapid and reliable method for the detection of EGFR kinase domain mutations in lung cancer.
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
Lynch, T. J., Bell, D. W., Sordella, R., Gurubhagavatula, S., Okimoto, R. A., Brannigan, B. W., Harris, P. L., Haserlat, S. M., Supko, J. G., Haluska, F. G., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa040938 · Cited by 11,486
EGFR Mutations in Lung Cancer: Correlation with Clinical Response to Gefitinib Therapy
Paez, J. G., Jänne, P. A., Lee, J. C., Tracy, S., Greulich, H., Gabriel, S., Herman, P., Kaye, F. J., Lindeman, N., Boggon, T. J., et al. (2004) · Science · doi:10.1126/science.1099314 · Cited by 9,368
Blume-Jensen, P., & Hunter, T. (2001) · Nature · doi:10.1038/35077225 · Cited by 3,738
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
Screening for Epidermal Growth Factor Receptor Mutations in Lung Cancer
Rosell, R., Moran, T., Queralt, C., Porta, R., Cardenal, F., Camps, C., Majem, M., Lopez-Vivanco, G., Isla, D., Provencio, M., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0904554 · Cited by 2,373
Lindeman, N. I., Cagle, P. T., Beasley, M. B., Chitale, D. A., Dacic, S., Giaccone, G., Jenkins, R. B., Kwiatkowski, D. J., Saldivar, J.-S., Squire, J., et al. (2013) · Journal of Thoracic Oncology · doi:10.1097/jto.0b013e318290868f · Cited by 1,280
Mechanisms of receptor tyrosine kinase activation in cancer
Du, Z., & Lovly, C. M. (2018) · Molecular Cancer · doi:10.1186/s12943-018-0782-4 · Cited by 1,066
Politi, K., Zakowski, M. F., Fan, P.-D., Schonfeld, E. A., Pao, W., & Varmus, H. E. (2006) · Genes & Development · doi:10.1101/gad.1417406 · Cited by 478
Metadata
- Authors
- Marchetti, A., Martella, C., Felicioni, L., Barassi, F., Salvatore, S., Chella, A., Camplese, P. P., Iarussi, T., Mucilli, F., Mezzetti, A., Cuccurullo, F., Sacco, R., & Buttitta, F.
- Venue
- Journal of Clinical Oncology
- Published
- 2005-02-01
- Volume
- 23
- Issue
- 4
- Pages
- 857-865
- ISSN
- 0732-183X (ISSN-L)
- 1527-7755
- OpenAlex
- W2125195105
- Cited by
- 788
- References
- 3
- FWCI
- 61.16
- Type
- journal article
- Language
- en
- Open access
- closed
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: EGFR Mutations in Non–Small-Cell Lung Cancer: Analysis of a Large Series of Cases and Development of a Rapid and Sensitive Method for Diagnostic Screening With Potential Implications on Pharmacologic Treatment. https://app.cochat.ai/papers/10.1200/jco.2005.08.043
- The paper
- Marchetti, A., Martella, C., Felicioni, L., Barassi, F., Salvatore, S., Chella, A., Camplese, P. P., Iarussi, T., Mucilli, F., Mezzetti, A., Cuccurullo, F., Sacco, R., & Buttitta, F. (2005). EGFR Mutations in Non–Small-Cell Lung Cancer: Analysis of a Large Series of Cases and Development of a Rapid and Sensitive Method for Diagnostic Screening With Potential Implications on Pharmacologic Treatment. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2005.08.043
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.