13 PROGNOSTIC MARKER GENES DETECTED FROM MICROARRAYS STUDIES ON MESOTHELIOMA, PROSTATE AND GLIOMA CORRECTLY PREDICT OUTCOME OF ADULT T-ALL CASES
Background: Microarray gene-expression profiles have been carried out to aid in the discovery of cancer-specifically, prognostic biomarkers. Methods: We have recently proposed a meta-analysis approach- SOGL, and developed its source package-OrderedList. We applied this method to detect significant prognostic marker genes from microarrays of multiple cancers, and addressed the more challenging problem of the predict ability of a set of progression/angiogenesis marker genes across multiple types of tumors in this paper. Results; These prognostic marker genes detected from three solid cancers could correctly predict the outcome of adult T-ALL cases. 12 of the small set of 13 genes consistently differentially expressed were involved in regulation of angiogenesis, and may be used for further research on prognostic markers of multiple cancers. Conclusion: These findings could highlight the potential of the angiogenesis involved malignant progress of primary tumors.
Cancer human treatment outcome gene expression microarray analysis meta-analysis genetic markers pathologic angiogenesis mesothelioma prostattc neoplasms glioblastoma multiforme (GBM) adult acute lymphocytic leukemia
Xinan Yang Xiao Suna Zuhong Lu
State Key Laboratory of Btoelectronics, Southeast University, Nanjing 210096, China
国际会议
The 4th International Forum on Post-genome Technologies(4IFPT)(第四届国际后基因组生命科学技术学术论坛)
杭州
英文
355-357
2006-09-25（万方平台首次上网日期，不代表论文的发表时间）