The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Gene Expression Signatures for Predicting Prognosis of Squamous Cell and Adenocarcinomas of the Lung
Abstract
Non–small-cell lung cancers (NSCLC) compose 80% of all lung carcinomas with squamous cell carcinomas (SCC) and adenocarcinoma representing the majority of these tumors. Although patients with early-stage NSCLC typically have a better outcome, 35% to 50% will relapse within 5 years after surgical treatment. We have profiled primary squamous cell lung carcinomas from 129 patients using Affymetrix U133A gene chips. Unsupervised analysis revealed two clusters of SCC that had no correlation with tumor stage but had significantly different overall patient survival (P = 0.036). The high-risk cluster was most significantly associated with down-regulation of epidermal development genes. Cox proportional hazard models identified an optimal set of 50 prognostic mRNA transcripts using a 5-fold cross-validation procedure. Quantitative reverse transcription-PCR and immunohistochemistry using tissue microarrays were used to validate individual gene candidates. This signature was tested in an independent set of 36 SCC samples and achieved 84% specificity and 41% sensitivity with an overall predictive accuracy of 68%. Kaplan-Meier analysis showed clear stratification of high-risk and low-risk patients [log-rank P = 0.04; hazard ratio (HR), 2.66; 95% confidence interval (95% CI), 1.01-7.05]. Finally, we combined the SCC classifier with our previously identified adenocarcinoma prognostic signature and showed that the combined classifier had a predictive accuracy of 71% in 72 NSCLC samples also showing significant differences in overall survival (log-rank P = 0.0002; HR, 3.54; 95% CI, 1.74-7.19). This prognostic signature could be used to identify patients with early-stage high-risk NSCLC who might benefit from adjuvant therapy following surgery. (Cancer Res 2006; 66(15): 7466-72)
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Tissue microarrays for high-throughput molecular profiling of tumor specimens
Kononen, J., Bubendorf, L., Kallionimeni, A., Bärlund, M., Schraml, P., Leighton, S., Torhorst, J., Mihatsch, M. J., Sauter, G., & Kallionimeni, O.-P. (1998) · Nature Medicine · doi:10.1038/nm0798-844 · Cited by 4,099
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A molecular signature of metastasis in primary solid tumors
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Oncogenic pathway signatures in human cancers as a guide to targeted therapies
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Gene-expression profiles predict survival of patients with lung adenocarcinoma
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Self-citationVinorelbine plus Cisplatin vs. Observation in Resected Non–Small-Cell Lung Cancer
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Garber, M. E., Troyanskaya, O. G., Schluens, K., Petersen, S., Thaesler, Z., Pacyna-Gengelbach, M., van de Rijn, M., Rosen, G. D., Perou, C. M., Whyte, R. I., et al. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.241500798 · Cited by 1,298
A Randomized Trial of Adjuvant Chemotherapy with Uracil–Tegafur for Adenocarcinoma of the Lung
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Gene Expression Profiles and Molecular Markers To Predict Recurrence of Dukes' B Colon Cancer
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Ji, H., Ramsey, M. R., Hayes, D. N., Fan, C., McNamara, K., Kozlowski, P., Torrice, C., Wu, M. C., Shimamura, T., Perera, S. A., et al. (2007) · Nature · doi:10.1038/nature06030 · Cited by 1,064
Aguirre-Gamboa, R., Gomez-Rueda, H., Martínez-Ledesma, E., Martínez-Torteya, A., Chacolla-Huaringa, R., Rodriguez-Barrientos, A., Tamez-Peña, J. G., & Treviño, V. (2013) · PLoS ONE · doi:10.1371/journal.pone.0074250 · Cited by 686
Airway epithelial gene expression in the diagnostic evaluation of smokers with suspect lung cancer
Spira, A., Beane, J. E., Shah, V., Steiling, K., Liu, G., Schembri, F., Gilman, S., Dumas, Y.-M., Calner, P., Sebastiani, P., et al. (2007) · Nature Medicine · doi:10.1038/nm1556 · Cited by 572
Mutations in the DDR2 Kinase Gene Identify a Novel Therapeutic Target in Squamous Cell Lung Cancer
Hammerman, P. S., Sos, M. L., Ramos, A. H., Xu, C., Dutt, A., Zhou, W., Brace, L. E., Woods, B. A., Lin, W., Zhang, J., et al. (2011) · Cancer Discovery · doi:10.1158/2159-8274.cd-11-0005 · Cited by 482
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Metadata
- Authors
- Raponi, M., Zhang, Y., Yu, J., Chen, G., Lee, G., Taylor, J. M. G., MacDonald, J., Thomas, D., Moskaluk, C., Wang, Y., & Beer, D. G.
- Venue
- Cancer Research
- Published
- 2006-08-01
- Volume
- 66
- Issue
- 15
- Pages
- 7466-7472
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- OpenAlex
- W2142351815
- Cited by
- 435
- References
- 19
- FWCI
- 12.09
- Type
- journal article
- Language
- en
- Open access
- closed
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- Raponi, M., Zhang, Y., Yu, J., Chen, G., Lee, G., Taylor, J. M. G., MacDonald, J., Thomas, D., Moskaluk, C., Wang, Y., & Beer, D. G. (2006). Gene Expression Signatures for Predicting Prognosis of Squamous Cell and Adenocarcinomas of the Lung. Cancer Research. https://doi.org/10.1158/0008-5472.can-06-1191
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
