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"

被引:19
作者
Kornblau, Steven M.
Qiu, Yi Hua
Bekele, B. N.
Cade, Jenny Straka
Zhou, Xian
Harris, David
Jackson, C. Ellen
Estrov, Zeev
Andreeff, Michael
机构
[1] Univ Texas, MD Anderson Canc Ctr, Sect Mol Hematol & Therapy, Houston, TX 77030 USA
[2] Univ Texas, MD Anderson Canc Ctr, Dept Stem Cell Transplantat & Cellular Therapeut, Houston, TX 77030 USA
[3] Univ Texas, MD Anderson Canc Ctr, Dept Biostat & Appl Math, Houston, TX 77030 USA
关键词
survivor cells; signal transduction pathways; pERK2; PKC alpha; BCL2; BAX; prognostic impact; AML;
D O I
10.4161/cc.5.23.3507
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
We hypothesized that studying protein expression in cells surviving in vitro chemo therapy ("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 four days +/- cytarabine (5-10 mu M). Early apoptotic cells were removed to yield purified SV. Expression of BCL2, bax, PKC alpha, 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.
引用
收藏
页码:2769 / 2777
页数:9
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