MicroRNA signature predicts survival and relapse in lung cancer.
By Sung‐Liang Yu, Hsuan-Yu Chen, G. Chang, Chih-Yi Chen, Huei-Wen Chen, Sher Singh, Chiou-Ling Cheng, Chong-Jen Yu, Yung‐Chie Lee, Hanbin Chen and 13 more. Cancer Cell, 2008
811 citations recorded by the source corpus.
Subfields: Cancer Research, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/aa79bc4ac12e4695a943008a9067b1cb9be1649e
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In Cancer Research
In Molecular Biology
Citations in the corpus
- Tumor Metastasis: Molecular Insights and Evolving Paradigms (2011, background): “…miRNA expression signatures have proven to be even more useful than the corresponding mRNA profiles at stratifying primary tumors based on their tissue of origin (Lu et al., 2005), and multigene miRNA expression signatures predictive of metastatic outcome have now been assembled (Yu et al., 2008).”
- microRNA as Biomarkers and Diagnostics (2016, background): “As prognostic biomarkers, miRNAs also enable the prediction of the course of a disease (Yu et al., 2008; Segura et al., 2010; Wang et al., 2014b).”
- Serum microRNA signatures identified in a genome-wide serum microRNA expression profiling predict survival of non-small-cell lung cancer. (2010, methodology): “We assigned each patient a risk score according to a linear combination of the expression level of the miRNA, weighted by the regression coefficient from the training samples.(2,11,17) The risk score was calculated as follows: risk-score (0.”