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59 results about "Cancer related genes" patented technology

The two genes most commonly associated with hereditary breast and ovarian cancer are called BRCA1 and BRCA2 (for Breast Cancer 1 and Breast Cancer 2 genes). Inherited mutations in these genes increase the risk for these cancers: ovarian cancer in women, prostate cancer in men, and breast, melanoma, and pancreatic cancer in both men and women.

Method and system for discovering and integrating rectal cancer related genes by utilizing public data resources and analyzing functions of rectal cancer related genes, and application

The invention discloses a method and a system for discovering and integrating rectal cancer related genes by utilizing public data resources and analyzing functions of the rectal cancer related genes, and an application. Based on the public data resources, open big data resources and diversified bioinformatics analysis means are reasonably used for performing analysis processing on mRNA expression data, and important genes related to complex diseases and functions of the important genes are identified. The method comprises the steps of sample data downloading and management; gene expression data analysis; difference expression gene screening; and gene function analysis and protein interaction analysis. According to the method and the system, the problems of weakness in integrating existing network resources, unfamiliarity with mRNA related most common databases and frontal analysis methods, incapability of independently finishing mRNA expression spectrum related bioinformatics analysis and the like can be solved; a plurality of risk pathways and genes related to the complex diseases such as the rectal cancer and the like can be discovered; and the method and the system are of important significance for biological targeted treatment of the complex diseases, biological drug research and development, pathogenesis explanation and risk prediction.
Owner:SOUTHEAST UNIV

Induced malignant stem cells

InactiveCN104080907AGenetically modified cellsDiagnosticsADAMTS ProteinsMetabolism abnormality
The present invention addresses the problem of providing malignant stem cells that can be grown in vitro and are useful in cancer therapy research and drug discovery research for cancer therapy, a method for producing same, cancer cells induced from the cells, and use for the cells. Provided are induced malignant stem cells that can be grown in vitro, the induced malignant stem cells being characterized in (1) having at least one type of abnormality selected from among (a) abnormal methylation (hypermethylation or hypomethylation) of a cancer suppressor gene or cancer-related gene region in the endogenous genome DNA, (b) somatic mutation of a cancer suppressor gene in the endogenous genome DNA or somatic mutation of an endogenous cancer-related gene, (c) abnormal expression (increased expression or decreased / lost expression); of an endogenous cancer gene or endogenous cancer suppressor gene, (d) abnormal expression (increased expression or decreased / lost expression) of non-coding RNA such as endogenous cancer-related micro RNA, (e) abnormal expression (increased expression or decreased / lost expression) of an endogenous cancer-related protein, (f) endogenous cancer-related metabolism abnormality (hypermetabolism or hypometabolism), or (g) abnormal endogenous cancer-related carbohydrate; and (2) expressing the POU5F1 gene, NANOG gene, SOX2 gene, and ZFP42 gene.
Owner:NAT CANCER CENT +1

Heuristic breadth-first searching method for cancer-related genes

InactiveCN103186717APathogenesis revealedFacilitates personalized treatmentSpecial data processing applicationsGene ordersGene selection
The invention relates to a heuristic breadth-first searching method for cancer-related genes. According to the method, appearance frequencies of genes in a selected gene subset are used for measuring the genes, and genes with higher appearance frequency are considered as the most important cancer-related genes, on the basis, a classifier is designed and a gene ordering method based on HBSA is established. As proved by study, information gene selection plays an important role in improving the classification performance, and the genes can be probably taken as important tumor clinical diagnosis signs, so discovery of the minimum gene subset with the highest classification performance is a very important research objective. As indicated by experimental results, the heuristic breadth-first searching method can not only obtain favorable generalization performance but also discover important tumor genes. And the relationship of the appearance frequencies of the selected genes and the gene number conforms to power-law distribution. The genes in the gene subset with extremely high classification accuracy are in close relationship with specific tumor subtypes, and even the genes are important genes directly related with the tumor.
Owner:HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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