The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Genomic Strategy to Refine Prognosis in Early-Stage Non–Small-Cell Lung Cancer
Open accessAbstract
BACKGROUND: Clinical trials have indicated a benefit of adjuvant chemotherapy for patients with stage IB, II, or IIIA--but not stage IA--non-small-cell lung cancer (NSCLC). This classification scheme is probably an imprecise predictor of the prognosis of an individual patient. Indeed, approximately 25 percent of patients with stage IA disease have a recurrence after surgery, suggesting the need to identify patients in this subgroup for more effective therapy. METHODS: We identified gene-expression profiles that predicted the risk of recurrence in a cohort of 89 patients with early-stage NSCLC (the lung metagene model). We evaluated the predictor in two independent groups of 25 patients from the American College of Surgeons Oncology Group (ACOSOG) Z0030 study and 84 patients from the Cancer and Leukemia Group B (CALGB) 9761 study. RESULTS: The lung metagene model predicted recurrence for individual patients significantly better than did clinical prognostic factors and was consistent across all early stages of NSCLC. Applied to the cohorts from the ACOSOG Z0030 trial and the CALGB 9761 trial, the lung metagene model had an overall predictive accuracy of 72 percent and 79 percent, respectively. The predictor also identified a subgroup of patients with stage IA disease who were at high risk for recurrence and who might be best treated by adjuvant chemotherapy. CONCLUSIONS: The lung metagene model provides a potential mechanism to refine the estimation of a patient's risk of disease recurrence and, in principle, to alter decisions regarding the use of adjuvant chemotherapy in early-stage NSCLC.
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Cites
Gene-expression profiles predict survival of patients with lung adenocarcinoma
Beer, D. G., Kardia, S. L. R., Huang, C.-C., Giordano, T. J., Levin, A. M., Misek, D. E., Lin, L., Chen, G., Gharib, T. G., Thomas, D. G., et al. (2002) · Nature Medicine · doi:10.1038/nm733 · Cited by 2,025
Cited by
Herbst, R. S., Heymach, J. V., & Lippman, S. M. (2008) · New England Journal of Medicine · doi:10.1056/nejmra0802714 · Cited by 2,389
Hu, Z., Chen, X., Zhao, Y., Tian, T., Jin, G., Shu, Y., Chen, Y., Xu, L., Zen, K., Zhang, C., et al. (2010) · Journal of Clinical Oncology · doi:10.1200/jco.2009.24.9342 · Cited by 798
Genomic and personalized medicine: foundations and applications
Ginsburg, G. S., & Willard, H. F. (2009) · Translational Research · doi:10.1016/j.trsl.2009.09.005 · Cited by 637
Self-citationDecoding global gene expression programs in liver cancer by noninvasive imaging
Segal, E., Sirlin, C. B., Ooi, C., Adler, A. S., Gollub, J., Chen, X., Chan, B. K., Matcuk, G. R., Barry, C. T., Chang, H. Y., et al. (2007) · Nature Biotechnology · doi:10.1038/nbt1306 · Cited by 629
Sarraf, K. M., Belcher, E., Raevsky, E., Nicholson, A. G., Goldstraw, P., & Lim, E. (2009) · The Journal of Thoracic and Cardiovascular Surgery · doi:10.1016/j.jtcvs.2008.05.046 · Cited by 555
Metadata
- Authors
- Potti, A., Mukherjee, S., Petersen, R., Dressman, H. K., Bild, A., Koontz, J., Kratzke, R., Watson, M. A., Kelley, M., Ginsburg, G. S., West, M., Harpole, D. H., & Nevins, J. R.
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2006-08-10
- Volume
- 355
- Issue
- 6
- Pages
- 570-580
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W2121277505
- Cited by
- 576
- References
- 1
- FWCI
- 49.61
- Type
- journal article
- Language
- en
- Status
- Retracted
- Open access
- bronze
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- CoChat. (2026). Citation check: A Genomic Strategy to Refine Prognosis in Early-Stage Non–Small-Cell Lung Cancer. https://app.cochat.ai/papers/10.1056/nejmoa060467
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- Potti, A., Mukherjee, S., Petersen, R., Dressman, H. K., Bild, A., Koontz, J., Kratzke, R., Watson, M. A., Kelley, M., Ginsburg, G. S., West, M., Harpole, D. H., & Nevins, J. R. (2006). A Genomic Strategy to Refine Prognosis in Early-Stage Non–Small-Cell Lung Cancer. New England Journal of Medicine. https://doi.org/10.1056/nejmoa060467
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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