http://rdf.ncbi.nlm.nih.gov/pubchem/patent/BR-PI0608429-A2

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http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-574
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-57407
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-574
filingDate 2006-02-17-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_33aa401f736c46fb0acd0f3329a4c5ea
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publicationDate 2009-12-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber BR-PI0608429-A2
titleOfInvention method and kit for predicting or evaluating the effectiveness of treating a solid tumor in a patient of interest; and method for identifying markers that are prognostic for a solid tumor
abstract METHOD AND KIT FOR PROGNOSTICS OR EVALUATION OF THE EFFICIENCY OF TREATMENT OF A SOLID TUMOR IN A PATIENT OF INTEREST; AND METHOD FOR IDENTIFYING MARKERS THAT ARE PROGNOSTICS OF A SOLID TUMOR. The present invention provides methods, systems and equipment for predicting or evaluating the treatment of solid tumors. Genetic markers that are predictive of solid tumors may be identified in accordance with the present invention. Each genetic marker has altered expression patterns in PBMCs of patients with solid tumors following initiation of anticancer treatment, and the magnitude of these changes correlates with the clinical outcomes of these patients. In one embodiment, a Cox proportional hazards model is used to determine correlations between clinical outcomes of patients with CCR and changes in gene expression in PBMCs of these patients during CCI-779 treatment. Non-limiting examples of genes identified by the Cox model are shown in Tables 4A, 4B, 5A and 55. These genes can be used as surrogate markers for CCR prognosis. They can also be used as pharmacogenomic indicators for the efficacy of CCI-779 or other anti-cancer drugs.
priorityDate 2005-02-18-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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Total number of triples: 22.