Cargando…
Linking patient outcome to high throughput protein expression data identifies novel regulators of colorectal adenocarcinoma aggressiveness
A key question in cancer systems biology is how to use molecular data to predict the biological behavior of tumors from individual patients. While genomics data have been heavily used, protein signaling data are more directly connected to biological phenotype and might predict cancer phenotypes such...
Autores principales: | French, Christi L., Ye, Fei, Revetta, Frank, Zhang, Bing, Coffey, Robert J., Washington, M. Kay, Deane, Natasha G., Beauchamp, R. Daniel, Weaver, Alissa M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000Research
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4457132/ https://www.ncbi.nlm.nih.gov/pubmed/26097693 http://dx.doi.org/10.12688/f1000research.6388.1 |
Ejemplares similares
-
Deciphering Genomic Alterations in Colorectal Cancer through Transcriptional Subtype-Based Network Analysis
por: Zhu, Jing, et al.
Publicado: (2013) -
Evaluation of frozen tissue-derived prognostic gene expression signatures in FFPE colorectal cancer samples
por: Zhu, Jing, et al.
Publicado: (2016) -
Four Jointed Box 1 Promotes Angiogenesis and Is Associated with Poor Patient Survival in Colorectal Carcinoma
por: Al-Greene, Nicole T., et al.
Publicado: (2013) -
APE1-mediated DNA damage repair provides survival advantage for esophageal adenocarcinoma cells in response to acidic bile salts
por: Hong, Jun, et al.
Publicado: (2016) -
Comparison of Nanostring nCounter(®) Data on FFPE Colon Cancer Samples and Affymetrix Microarray Data on Matched Frozen Tissues
por: Chen, Xi, et al.
Publicado: (2016)