Gene-expression profiles in hereditary breast cancer.

By Ingrid Hedenfalk, Dave A Duggan, Yidong Chen, Michael D. Radmacher, M. Bittner, R. Simon, Paul S. Meltzer, B. Gusterson, Manel Esteller, M. Raffeld and 16 more. New England Journal of Medicine, 2001

969 citations recorded by the source corpus.

Subfields: Cancer Research, Genetics, Pathology and Forensic Medicine

View Paper: https://www.semanticscholar.org/paper/d3001913e21d745ea6a430077869bb290ad86cc6

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Citations in the corpus

Circulating tumor cells (CTC) detection: clinical impact and future directions. (2007, background): “In fact, down-regulated expression of cytokeratins has been shown to characterize malignant progression of human breast cancers [13,14].”
A Paradigm for Class Prediction Using Gene Expression Profiles (2002, positive): “We developed a method, compound covariate prediction, that was used to predict the BRCA1 and BRCA2 mutation status of breast cancer specimens (Hedenfalk et al. , 2001).”
Estimating the proportion of true null hypotheses, with application to DNA microarray data (2005, background): “The first data set is from Hedenfalk et al. (2001).”
Empirical bayes methods and false discovery rates for microarrays (2002, background): “Hedenfalk et al. [2001] adjusted their raw optical measurements for a variety of such factors.”
Cluster analysis for gene expression data: a survey (2004, methodology): “[27] Colon cancer data [3] genes, samples some supervised methods ( Normal, Tumor) Hereditary breast cancer data [28] genes, samples some supervised methods ( BRCA1, BRCA2, Sporadics) Multiple sclerosis data [48] genes samples Tang et al.”
A two-gene expression ratio predicts clinical outcome in breast cancer patients treated with tamoxifen. (2004, background): “, 2002) in our study cohort, we Excellence (NCI SPORE) in Breast Cancer at Massachusetts General Hospiused the compound covariate predictor algorithm (Hedenfalk et al., 2001) tal.”
Gene-expression profiles predict survival of patients with lung adenocarcinoma (2002, methodology): “The cross-validation analytical strategy we used is particularly informative for these types of gene-expression analyses for disease outcom”
Mutational Processes Molding the Genomes of 21 Breast Cancers (2012, result): “These similarities in mutational signatures contrast strikingly with differences in histology and gene expression profiles between BRCA1 and BRCA2 mutant cancers (Hedenfalk et al., 2001; Palacios et al., 2008; Perou et al., 2000; Sørlie et al., 2001).”
Gene expression profiling spares early breast cancer patients from adjuvant therapy: derived and validated in two population-based cohorts (2005, background): “Most microarray studies so far reported have utilized highly selected patient populations [11-13] and hereditary breast cancer [14], and few studies have focused on treatment prediction [15].”