Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival.

Proceedings of the National Academy of Sciences of the United States of America, 2005

736 citations recorded by the source corpus.

Subfields: Cancer Research, Oncology, Otorhinolaryngology

View Paper: https://www.semanticscholar.org/paper/2985f82f6fdc6e15e2211f6ca6877ab815aab3d6

Citations in the corpus

• Stromal gene expression predicts clinical outcome in breast cancer (2008, neutral): “Gene expression signatures have been identified that classify breast tumors into subtypes showing distinct expression profiles associated with specific clinical characteristic”
• Improved classification of breast cancer by analysis of genetic alterations and gene expression profiling (2011, neutral): “[60] Chang HY, Nuyten DS, Sneddon JB, et al.”
• GOBO: Gene Expression-Based Outcome for Breast Cancer Online (2011, neutral): “A multitude of microarray-based gene signatures have been derived stratifying breast cancer into subtypes [1,2,24], identifying patients at risk [5,6,8,9,11,12], and predicting response to therapeutic agents [3,4].”
• Common markers of proliferation (2006, neutral): “However, recent studies have shown that the expression of serum-induced genes that are not cell-cycle-regulated can also be associated with tumour progression, so various markers that have been identified through this method of cell synchronization have been useful predictors of cancer prognosi”
• Molecular definition of breast tumor heterogeneity. (2007, neutral): “, 2006), and 3 (Chang et al., 2005; van de Vijveret al., 2002) ordered by averageexpression value for the signature.”
• Gene expression profiling and histopathological characterization of triple-negative/basal-like breast carcinomas (2007, positive): “This category of breast carcinomas has been shown to stand out from the other breast cancer subtypes by a unique geneexpression profile (basal-like subtype) revealed by geneexpression profiling studies [3-6,24-26].”
• Breast cancer intrinsic subtype classification, clinical use and future trends. (2015, positive): “The ‘wound response’ signature, encompassing genes involved in matrix remodelling and angiogenesis, has been shown to be associated with basal tumors, suggesting other potential avenues of targeting [42].”
• A unified inference procedure for a class of measures to assess improvement in risk prediction systems with survival data (2012, neutral): “[27] is different from the Dutch 70 scoring system [25, 26].”
• WNT/TCF signaling through LEF1 and HOXB9 mediates lung adenocarcinoma metastasis (2009, positive): “To obtain a more comprehensive transcriptional readout, we employed approaches based on a correlation coefficient method (Chang et al., 2005; Xu et al., 2008).”