A genomic strategy to refine prognosis in early-stage non-small-cell lung cancer.

By A. Potti, Sayan Mukherjee, R. Petersen, H. Dressman, A. Bild, J. Koontz, R. Kratzke, M. Watson, M. Kelley, Geoffrey S. Ginsburg and 3 more. New England Journal of Medicine, 2006

601 citations recorded by the source corpus.

Subfields: Oncology, Pulmonary and Respiratory Medicine

View Paper: https://www.semanticscholar.org/paper/8fe739367f00374aa50b49dbd6d719283b088a8a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. J. Hou
2. J. Aerts
3. Eran Segal
4. Howard Y. Chang
5. Bianca den Hamer
6. Claude B. Sirlin
7. W. V. van Ijcken
8. C. Ooi

Citations in the corpus

• Gene Expression-Based Classification of Non-Small Cell Lung Carcinomas and Survival Prediction (2010, methodology): “We used two independent validation sets: 6 normal lung tissues from GSE3526, and NSCLC samples from the Duke University cohort [10].”
• MicroRNA signature predicts survival and relapse in lung cancer. (2008, methodology): “In protein-coding gene expression profiling, the genes associated with patient survival can vary substantially from study to study, with few genes being consistently reported in different lung cancer studies (Beer et al., 2002; Potti et al., 2006).”
• Decoding global gene expression programs in liver cancer by noninvasive imaging (2007, background): “Gene expression signatures that can predict prognosis or therapeutic response in lung cance”