Breast cancer metastasis: markers and models

By B. Weigelt, J. Peterse, L. V. Veer. Nature Reviews. Cancer, 2005

713 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/3bd1490d7b6c8daa59bd35260c6c71e39d3d62fa

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Citations in the corpus

Validating matrix metalloproteinases as drug targets and anti-targets for cancer therapy (2006, background): “Today, transcriptome studies in mouse models of cancer and in human tumour samples continue to highlight the important roles of MMPs in metastatic disease, especially in highly aggressive late-stage tumours with poor clinical outcom”
Platform-independent and Label-free Quantitation of Proteomic Data Using MS1 Extracted Ion Chromatograms in Skyline (2012, background): “In addition, MS1 filtering results demonstrate increased phosphorylation at Ser-7 in luminal cell line CM for the epithelial cell marker cytokeratin 18 (39, 40) (supplemental Fig.”
Metastasis: a question of life or death (2006, background): “Metastases are the cause of 90% of human cancer death”
Gene expression profiling and histopathological characterization of triple-negative/basal-like breast carcinomas (2007, background): “Introduction The World Health Organization has defined a wide range of histopathological subtypes of invasive breast cancer and classified these carcinomas into 19 categories [1], most of which are quite rare [2].”
Modelling breast cancer: one size does not fit all (2007, background): “Finally, investigation of metastasis using xenografts and mouse models is problematic because metastatic cells preferentially colonize the lungs and usually fail to grow at other common sites that occur in human breast cancer, including the lymph nodes, liver, bone and brai”
Cancer stem cells: models and concepts. (2007, background): “However, if we take into account the CSC model and we assume that, in each individual tumor, the differentiation pattern is controlled by its specific repertoire of genetic mutations, then we can predict that, if two lesions share identical genetic backgrounds and similar genetic abnormalities, they”
Cancer metastasis: building a framework. (2006, background): “Recent advances in the molecular profiling of cancer using genomic-level approaches have revealed genes whose expression in primary tumors correlates strongly with the likelihood of metastatic recurrence (Weigelt et al., 2005).”
The noncoding RNA MALAT1 is a critical regulator of the metastasis phenotype of lung cancer cells. (2013, background): “org Cancer Res; 73(3) February 1, 2013 OF5”