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- W58225229 abstract "Human tumors have great diversity in morphology and natural history; this is reflected in variations in clinical outcome. Assessment of morphology and a few immunohistochemical markers in tumors have guided treatment of most cancers. By studying gene expression patterns for a large number of genes, morphologically similar tumors can be further subdivided into distinct categories of clinical relevance. Recent studies have applied DNA microarrays to the study of many types of cancer, including breast (1–6), brain (7,8), ovary (9– 11), lung (12–14), colon (15–17), kidney (18), prostate (19–22), gastric (23), leukemia (24–26), and lymphoma (27–29). Most of these studies identified clinically relevant tumor subtypes that were believed to represent more homogenous clinical entities. Thus, using cDNA microarrays to characterize variation in tumors could add value to the standard battery of clinical tests.KeywordsBreast CancerGene Expression PatterncDNA MicroarraysGail ModelLuminal SubtypeThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
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- W58225229 date "2008-08-15" @default.
- W58225229 modified "2023-09-26" @default.
- W58225229 title "Functional Genomics for Identifying Surrogate Endpoint Biomarkers in Breast Cancer Chemoprevention" @default.
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