Studying The Right Cell In Acute Myelogenous Leukemia: Dynamic Changes Of Apoptosis And Signal Transduction Pathway Protein Expression In Chemotherapy Resistant Ex-Vivo Selected "Survivor Cells"

We hypothesized that studying protein expression in cells surviving in vitro chemotherapy ("survivor cells", SV), could provide more important insight into the biology of drug-resistant AML cells than analysis of the bulk population of leukemic cells. Leukemia-enriched samples from 79 pati...

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Veröffentlicht in:Cell cycle (Georgetown, Tex.) Tex.), 2006-12, Vol.5 (23), p.2769-2777
Hauptverfasser: Kornblau, Steven M., Qiu, Yi Hua, Bekele, BN, Straka Cade, Jenny, Zhou, Xiao, Harris, David, Jackson, Ellen, Estrov, Zeev, Andreeff, Michael
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Sprache:eng
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Zusammenfassung:We hypothesized that studying protein expression in cells surviving in vitro chemotherapy ("survivor cells", SV), could provide more important insight into the biology of drug-resistant AML cells than analysis of the bulk population of leukemic cells. Leukemia-enriched samples from 79 patients with new or relapsed AML were cultured for 4 days ± cytarabine (5-10 μM). Early apoptotic cells were removed to yield purified SV. Expression of BCL2, bax, PKCα, ERK2, and pERK2 proteins was measured using laser scanning cytometry. The SV population was enriched for CD34+ stem cells. Protein expression patterns in SV differed considerably from those in controls; culture and reanalysis of protein expression revealed stability, reversion, or new patterns of change. Patterns of pairs or triads of proteins were nonrandomly distributed and appeared at statistically unlikely frequencies, suggesting preferential adoption of certain patterns. The patterns of change were highly predictive of remission attainment, relapse, and survival in univariate and multivariate analysis. We conclude that in vitro SV cells have protein expression patterns distinct from those of the bulk population of leukemic cells and that these patterns are predictive of outcome. Analysis of SV cells may be more informative than analysis of the bulk population of leukemia cells.
ISSN:1538-4101
1551-4005
DOI:10.4161/cc.5.23.3507