The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Epidermal Growth Factor Receptor Gene Mutations and Increased Copy Numbers Predict Gefitinib Sensitivity in Patients With Recurrent Non–Small-Cell Lung Cancer
Open accessAbstract
Purpose: To evaluate epidermal growth factor receptor (EGFR) mutations and copy number as predictors of clinical outcome in patients with non–small-cell lung cancer (NSCLC) receiving gefitinib. Patients and Methods: Sixty-six patients with NSCLC who experienced relapse after surgery and received gefitinib were included. Direct sequencing of exons 18 to 24 of EGFR and exons 18 to 24 of ERBB2 was performed using DNA extracted from surgical specimens. Pyrosequencing and quantitative real-time polymerase chain reaction were performed to analyze the allelic pattern and copy number of EGFR. Results: Thirty-nine patients (59%) had EGFR mutations; 20 patients had deletional mutations in exon 19, 17 patients had missense mutations (L858R) in exon 21, and two patients had missense mutations (G719S or G719C) in exon 18. No mutations were identified in ERBB2. Response rate (82% [32 of 39 patients] v 11% [three of 27 patients]; P < .0001), time to progression (TTP; median, 12.6 v 1.7 months; P < .0001), and overall survival (median, 20.4 v 6.9 months; P = .0001) were significantly better in patients with EGFR mutations than in patients with wild-type EGFR. Increased EGFR copy numbers (≥ 3/cell) were observed in 29 patients (44%) and were significantly associated with a higher response rate (72% [21 of 29 patients] v 38% [14 of 37 patients]; P = .005) and a longer TTP (median, 9.4 v 2.6 months; P = .038). High EGFR copy numbers (≥ 6/cell) were caused by selective amplification of mutant alleles. Conclusion: EGFR mutations and increased copy numbers were significantly associated with better clinical outcome in gefitinib-treated NSCLC patients.
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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
Pao, W., Miller, V. A., Politi, K. A., Riely, G. J., Somwar, R., Zakowski, M. F., Kris, M. G., & Varmus, H. (2005) · PLoS Medicine · doi:10.1371/journal.pmed.0020073 · Cited by 3,527
Clinical Resistance to STI-571 Cancer Therapy Caused by BCR-ABL Gene Mutation or Amplification
Gorre, M. E., Mohammed, M., Ellwood, K., Hsu, N., Paquette, R., Rao, P. N., & Sawyers, C. L. (2001) · Science · doi:10.1126/science.1062538 · Cited by 3,104
Kris, M. G., Natale, R. B., Herbst, R. S., Lynch, Jr., Prager, D., Belani, C. P., Schiller, J. H., Kelly, K., Spiridonidis, H., Sandler, A., et al. (2003) · JAMA · doi:10.1001/jama.290.16.2149 · Cited by 2,517
Intragenic ERBB2 kinase mutations in tumours
Stephens, P., Hunter, C., Bignell, G., Edkins, S., Davies, H., Teague, J., Stevens, C., O'Meara, S., Smith, R., Parker, A., et al. (2004) · Nature · doi:10.1038/431525b · Cited by 802
Somatic Mutations of the HER2 Kinase Domain in Lung Adenocarcinomas
Shigematsu, H., Takahashi, T., Nomura, M., Majmudar, K., Suzuki, M., Lee, H., Wistuba, I. I., Fong, K. M., Toyooka, S., Shimizu, N., et al. (2005) · Cancer Research · doi:10.1158/0008-5472.can-04-4235 · Cited by 678
Cited by
Mitsudomi, T., Morita, S., Yatabe, Y., Negoro, S., Okamoto, I., Tsurutani, J., Seto, T., Satouchi, M., Tada, H., Hirashima, T., et al. (2010) · The Lancet Oncology · doi:10.1016/s1470-2045(09)70364-x · Cited by 4,090
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
Gazdar, A. F. (2009) · Oncogene · doi:10.1038/onc.2009.198 · Cited by 991
Metadata
- Authors
- Takano, T., Ohe, Y., Sakamoto, H., Tsuta, K., Matsuno, Y., Tateishi, U., Yamamoto, S., Nokihara, H., Yamamoto, N., Sekine, I., Kunitoh, H., Shibata, T., Sakiyama, T., Yoshida, T., & Tamura, T.
- Venue
- Journal of Clinical Oncology
- Published
- 2005-10-01
- Volume
- 23
- Issue
- 28
- Pages
- 6829-6837
- ISSN
- 0732-183X (ISSN-L)
- 1527-7755
- OpenAlex
- W2143171062
- Cited by
- 695
- References
- 7
- FWCI
- 72.51
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Takano, T., Ohe, Y., Sakamoto, H., Tsuta, K., Matsuno, Y., Tateishi, U., Yamamoto, S., Nokihara, H., Yamamoto, N., Sekine, I., Kunitoh, H., Shibata, T., Sakiyama, T., Yoshida, T., & Tamura, T. (2005). Epidermal Growth Factor Receptor Gene Mutations and Increased Copy Numbers Predict Gefitinib Sensitivity in Patients With Recurrent Non–Small-Cell Lung Cancer. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2005.01.0793
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