Identification of pathway-based prognostic gene signatures in patients with multiple myeloma
作者： Mohamad Zamani-Ahmadmahmudi , Shahreyar Dabiri , Nadia Nadimi
DOI: 10.1016/J.TRSL.2017.05.001
关键词:
摘要: Molecular profiling is used to extract prognostic gene signatures in different cancers such as multiple myeloma (MM), which the second most common hematological malignancy. In this study, we utilized expression profiles find biological pathways that could efficiently predict survival time patients with MM. Four data sets—namely GSE2658 (559 samples), GSE9782 (264 GSE6477 (147 and GSE57317 (55 samples)—were employed. was a training set others validation sets. The genes significantly associated were identified using univariate Cox proportional hazards analysis, their roles explored Gene-Set Enrichment Analysis (GSEA) set. Next, significant corresponding reconstruct pathway-based signatures. Thereafter, externally validated 3 independent cohorts—namely , . Our results revealed 9 able (Ps
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