Joshua Epstein,Shmuel Yaccoby,John D. Shaughnessy, JR.,Barthel Barlogie,Igor Entin
申请号：
US14114406
公开号：
US20140079813A1
申请日:
2012.04.27
申请国别(地区):
US
年份:
2014
代理人:
摘要：
Provided are methods, systems and kits for predicting post-relapse survival of a cancer patient and for identifying cancer genes predictive of the post-relapse survival of the patient. Values representing gene expression levels of a group of genes associated with survival of the cancer cells are determined using gene expression profiling platforms and a plurality of probe sets that hybridize to one or more of the genes in the group. A predictive model establishes a predictive value based on the weighted contribution of each gene associated with survival of the cancer cells to risk of death for the cancer patient and imports expression values of the genes in the group that is indicative of a risk of death for the relapsed patient. Using global gene expression profiling and statistical analysis, expression of cancer cell genes at baseline and at first relapse that are involved in interaction of cancer cells with cells in their microenvironment, can be used to identify genes that are predictive of post-relapse survival.
