Cargando…
Prognostic Breast Cancer Signature Identified from 3D Culture Model Accurately Predicts Clinical Outcome across Independent Datasets
BACKGROUND: One of the major tenets in breast cancer research is that early detection is vital for patient survival by increasing treatment options. To that end, we have previously used a novel unsupervised approach to identify a set of genes whose expression predicts prognosis of breast cancer pati...
Autores principales: | Martin, Katherine J., Patrick, Denis R., Bissell, Mina J., Fournier, Marcia V. |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2500166/ https://www.ncbi.nlm.nih.gov/pubmed/18714348 http://dx.doi.org/10.1371/journal.pone.0002994 |
Ejemplares similares
-
Novel Model for Comprehensive Assessment of Robust Prognostic Gene Signature in Ovarian Cancer Across Different Independent Datasets
por: Bing, Zhitong, et al.
Publicado: (2019) -
Cross-platform comparison of independent datasets identifies an immune signature associated with improved survival in metastatic melanoma
por: Lardone, Ricardo D., et al.
Publicado: (2016) -
An interferon signature identified by RNA-sequencing of mammary tissues varies across the estrous cycle and is predictive of metastasis-free survival
por: Snijders, Antoine M., et al.
Publicado: (2014) -
Evaluation of public cancer datasets and signatures identifies TP53 mutant signatures with robust prognostic and predictive value
por: Lehmann, Brian David, et al.
Publicado: (2015) -
Prognostic Evidence of the miRNA-Based Ovarian Cancer Signature MiROvaR in Independent Datasets
por: De Cecco, Loris, et al.
Publicado: (2021)