Abstract: Methods are disclosed for the identification of gene sets that are differentially expressed in PBMCs of patients diagnosed with a pre-diabetic disease state and overt type II diabetes. 3 gene and 10 gene signatures are shown to accurately predict a diabetic disease state in a patient. The application also described kits for the rapid diagnosis of diabetic disease states in patients at a point of care facility.

Abstract: Methods are disclosed for the identification of gene sets that are differentially expressed in PBMCs of patients diagnosed with a pre-diabetic disease state and overt type II diabetes. 3 gene and 10 gene signatures are shown to accurately predict a diabetic disease state in a patient. The application also described kits for the rapid diagnosis of diabetic disease states in patients at a point of care facility.

Abstract: Disclosed in this specification is a method of defining chromosome regions of prognostic value by summarizing the significance of all SNPs (single nucleotide polymorphism) in a predetermined section of a chromosome to define chromosome regions of prognostic value. Based on the SNPs in specified genes, a more accurate prognosis for breast cancer may be provided.

Abstract: About 70% to 80% of breast cancers express estrogen receptor-? (ER?), and estrogens play important roles in the development and growth of hormone-dependent tumors. Together with lymph node metastasis, tumor size and histological grade, ER status is considered one of the prognostic factors in breast cancer, and an indicator for hormonal treatment. 147 genes and 112 genes with significant P-value and having significant differential expression between ER+ and ER? tumors were identified from the LCM data set and bulk tissue data set, respectively. 61 genes were found to be common in both data sets, while 85 genes were unique to the LCM data set and 51 genes were present only in the bulk tumor data set. Pathway analysis with the 85 genes using Gene Ontology suggested that genes involved in endocytosis, ceramide generation, Ras/ERK/Ark cascade, and JAT-STAT pathway may play roles related to ER.

Abstract: The present invention provides a method for predicting distant metastasis of lymph node negative primary breast cancer by obtaining breast cancer cells; isolating nucleic acid and/or protein from the cells; and analyzing the nucleic acid and/or protein to determine the presence, expression level or status of a Biomarker selected from the pathways in Table 2.