A simple one-tube assay for immunophenotypical quantification of leukemic stem cells in acute myeloid leukemia.

Relapses after initial successful treatment in acute myeloid leukemia are thought to originate from the outgrowth of leukemic stem cells. Their flow cytometrically assessed frequency is of importance for relapse prediction and is therefore assumed to be implemented in future risk group profiling. Since current detection methods are complex, time- and bone marrow consuming (multiple-tubes approach), it would be advantageous to have a broadly applicable approach that enables to quantify leukemia stem cells both at diagnosis and follow-up. We compared 15 markers in 131 patients concerning their prevalence, usefulness and stability in CD34(+)CD38(-) leukemic stem cell detection in healthy controls, acute myeloid leukemia diagnosis and follow-up samples. Ultimately, we designed a single 8-color detection tube including common markers CD45, CD34 and CD38, and specific markers CD45RA, CD123, CD33, CD44 and a marker cocktail (CLL-1/TIM-3/CD7/CD11b/CD22/CD56) in one fluorescence channel. Validation analyses in 31 patients showed that the single tube approach was as good as the multiple-tube approach. Our approach requires the least possible amounts of bone marrow, and is suitable for multi-institutional studies. Moreover, it enables detection of leukemic stem cells both at time of diagnosis and follow-up, thereby including initially low-frequency populations emerging under therapy pressure.

Peripheral blood minimal residual disease may replace bone marrow minimal residual disease as an immunophenotypic biomarker for impending relapse in acute myeloid leukemia.

As relapses are common in acute myeloid leukemia (AML), early relapse prediction is of high importance. Although conventional minimal residual disease (MRD) measurement is carried out in bone marrow (BM), peripheral blood (PB) would be an advantageous alternative source. This study aims to investigate the specificity of leukemia-associated immunophenotypes used for MRD detection in blood samples. Consistency of PB MRD as compared with BM MRD was determined in flow cytometric data of 205 paired BM and PB samples of 114 AML patients. A significant correlation was found between PB and BM MRD (r=0.67, P<0.001), while median PB MRD percentage was factor 4-5 lower compared with BM MRD. Primitive blast (CD34+/CD117+/CD133+) frequency was significantly lower in PB (median factor 23.7), indicating that PB MRD detection is more specific than BM. Cumulative incidence of relapse 1 year after induction therapy was 29% for PB MRD-negative and 89% for PB MRD-positive patients (P<0.001). Three-year OS was 52% for MRD-negative and 15% for MRD-positive patients (P=0.034). Similar differences were found after consolidation therapy. As PB MRD appeared to be an independent predictor for response duration, the highly specific PB MRD assay may have a prominent role in future MRD assessment in AML.

Multiobjective evolutionary algorithms: analyzing the state-of-the-art.

Solving optimization problems with multiple (often conflicting) objectives is, generally, a very difficult goal. Evolutionary algorithms (EAs) were initially extended and applied during the mid-eighties in an attempt to stochastically solve problems of this generic class. During the past decade, a variety, of multiobjective EA (MOEA) techniques have been proposed and applied to many scientific and engineering applications. Our discussion's intent is to rigorously define multiobjective optimization problems and certain related concepts, present an MOEA classification scheme, and evaluate the variety of contemporary MOEAs. Current MOEA theoretical developments are evaluated; specific topics addressed include fitness functions, Pareto ranking, niching, fitness sharing, mating restriction, and secondary populations. Since the development and application of MOEAs is a dynamic and rapidly growing activity, we focus on key analytical insights based upon critical MOEA evaluation of current research and applications. Recommended MOEA designs are presented, along with conclusions and recommendations for future work.