摘要:
A method of providing a prognosis of colorectal cancer is conducted by analyzing the expression of a group of genes. Gene expresson profiles in a variety of medium such as microarrays are included as are kits that contain them.
摘要:
The present invention provides a method of identifying origin of a metastasis of unknown origin by obtaining a sample containing metastatic cells; measuring Biomarkers associated with at least two different carcinomas; combining the data from the Biomarkers into a linear discrimination analysis where the linear discrimination analysis normalizes the Biomarkers against a reference; and imposes a cut-off which optimizes sensitivity and specificity of each Biomarker, weights the prevalence of the carcinomas and selects a tissue of origin determining origin based on highest probability determined by the linear discrimination analysis or determining that the carcinoma is not derived from a particular set of carcinomas; and optionally measuring Biomarkers specific for one or more additional different carcinoma, and repeating the steps for additional Biomarkers.
摘要:
A method of diagnosing cancer by identifying differential modulation of each gene (relative to the expression of the same genes in a normal population) in a combination of genes selected from two groups of genes.Gene expression portfolios and kits for employing the method are further aspects of the invention.
摘要:
A method of providing a prognosis of breast cancer is conducted by analyzing the expression of a group of genes. Gene expresson profiles in a variety of medium such as microarrays are included as are kits that contain them.
摘要:
A method of providing a prognosis of colorectal cancer is conducted by analyzing the expression of a group of genes. Gene expresson profiles in a variety of medium such as microarrays are included as are kits that contain them.
摘要:
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.
摘要:
We analyzed bone marrow from 67 patients from a phase 2 study of farnesyltransferase inhibition with tipifarnib (R115777, ZARNESTRA®), in older adults with previously untreated, poor-risk acute myeloid leukemia (AML) for N-Ras mutations, global gene expression, and/or quantitative PCR (qPCR) of specific genes. Microarray profiling identified a two-gene expression ratio (RASGRP1:APTX) which provided the greatest accuracy for predicting response to tipifarnib. We demonstrated that this classifier could predict response to tipifarnib in an independent set of 54 samples from relapsed or refractory AML, with a NPV and PPV of 92% and 28%, respectively (odds ratio of 4.4). Therefore, in both newly diagnosed and relapsed or refractory AML, this classifier improves the overall response rate by approximately 50% while maintaining a high NPV, and significantly improves patient overall survival. The two-gene classifier was also validated by qPCR in thirty AML samples from the same clinical study demonstrating a negative predictive value (NPV) and positive predictive value (PPV) of 81% and 50%, respectively (odds ratio of 4.3). These data indicate that a simple two-gene expression assay may have utility in diagnosing a population of AML patients who are more likely to respond to tipifarnib.
摘要:
An assay for diagnosing or prognosticating prostate cancer incorporates the detection of hypermethylation of SEQ ID NO 1, SEQ ID NO 3, and SEQ ID NO 2 genes and may be incorporated into a nomogram.
摘要翻译:用于诊断或预测前列腺癌的测定法包括检测SEQ ID NO 1,SEQ ID NO 3和SEQ ID NO 2基因的高甲基化,并且可以并入到诺欧图中。
摘要:
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.