Michael D. Radmacher

TL;DR: The MN1 gene- and microRNA-expression signatures suggest biologic features that could be exploited as therapeutic targets as well as prognostic importance in CN-AML patients.

TL;DR: A common prognostic gene signature composed of 24 genes was identified as an independent predictor of survival of patients with acute myeloid leukemia and the integrated risk classification incorporating this gene signature provides a better framework for risk stratification and outcome prediction than the ELN classification.

TL;DR: pH regulates a core set of genes independently of oxygen, including yagU, fimbriae, periplasmic chaperones, and nhaB, and ribosome synthesis is down-regulated at low pH under oxygen limitation, possibly due to the restricted energy yield of catabolism.

TL;DR: Cluster analysis confirmed the applicability of the gene-expression profiling strategy for outcome prediction in cytogenetically normal AML and developed a well-defined classification rule using the signature to predict outcome for individual patients.

TL;DR: In older CN-AML patients, low BAALC and ERG expression associates with better outcome and distinct gene and microRNA expression signatures that could aid in identifying new targets and novel therapeutic strategies for older patients are concluded.