Single-cell profiling identifies aberrant STAT5 activation in myeloid malignancies with specific clinical and biologic correlates.
Single-cell profiling identifies aberrant STAT5 activation in myeloid malignancies with specific clinical and biologic correlates.
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DOI:
10.1016/j.ccr.2008.08.014
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发表时间:
2008-10-07
期刊:
影响因子:
50.3
通讯作者:
Loh ML
中科院分区:
文献类型:
--
作者:
Kotecha N;Flores NJ;Irish JM;Simonds EF;Sakai DS;Archambeault S;Diaz-Flores E;Coram M;Shannon KM;Nolan GP;Loh ML
Progress in understanding the molecular pathogenesis of human myeloproliferative disorders (MPDs) has led to guidelines incorporating genetic assays with histopathology during diagnosis. Advances in flow cytometry have made it possible to simultaneously measure cell type and signaling abnormalities arising as a consequence of genetic pathologies. Using flow cytometry, we observed a specific evoked STAT5 signaling signature in a subset of samples from patients suspected of having juvenile myelomonocytic leukemia (JMML), an aggressive MPD with a challenging clinical presentation during active disease. This signature was a specific feature involving JAK-STAT signaling, suggesting a critical role of this pathway in the biological mechanism of this disorder and indicating potential targets for future therapies. Recent advances have enabled simultaneous measurement of cell type and cell signals in primary populations using flow cytometry. This technique enables the question, "Can we track oncogenic cell populations from diagnosis through disease evolution via signaling?" Doing so in an era of using specific inhibitors against components of key signal transduction pathways will be necessary to assess treatment effects in human patients and adapt as cancer cells alter their signaling in response to these treatments. This work uses such an approach to follow patients over time and shows that disease status in juvenile myelomonocytic leukemia (JMML) -- at diagnosis, remission, relapse, and transformation -- is indicated by a subset of cells with an abnormal signaling profile.
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影响因子:
37.3
作者:
Kunz, Manfred;Ibrahim, Saleh M
通讯作者:
Ibrahim, Saleh M
DOI:
10.1073/pnas.96.12.7065
发表时间:
1999-06-08
影响因子:
11.1
作者:
Ahmadian, MR;Zor, T;Scheffzek, K
通讯作者:
Scheffzek, K
影响因子:
5.1
作者:
BaderMeunier, B;Tchernia, G;Dommergues, JP
通讯作者:
Dommergues, JP
影响因子:
20.3
作者:
Kratz, CP;Niemeyer, CM;Loh, ML
通讯作者:
Loh, ML
影响因子:
20.3
作者:
Levine, RL;Loriaux, M;Deininger, MWN
通讯作者:
Deininger, MWN