Multiparameter Flow Cytometry for Determination of Ploidy, Proliferation and Differentiation in Acute Leukemia: Treatment Effects and Prognostic Value

Multiparameter Flow Cytometry for Determination of Ploidy, Proliferation and Differentiation in Acute Leukemia: Treatment Effects and Prognostic Value
复制标题

多参数流式细胞术测定急性白血病倍性、增殖和分化:治疗效果和预后价值

DOI:
10.1007/978-3-642-70458-1_10
复制
发表时间:
1985
期刊:
International Journal of Immunopharmacology
影响因子:
--
通讯作者:
M. Melamed
M. Melamed
中科院分区:
--
文献类型:
--
作者:
M. Andreeff;A. Redner;S. Thongprasert;B. Eagle;P. Steinherz;D. Miller;M. Melamed

文献摘要

参考文献

被引文献

相似文献

我们[1-3]和其他人[4-8]已经单独或结合细胞RNA测量[9]或细胞表面抗原的定量测定[8,10]对FCM测量的细胞总DNA含量进行了多年的研究。DNA含量异常通常与染色体数目异常有关[11],它可能是临床血液学中最可靠的“肿瘤标记物”,此外还为造血肿瘤的克隆性提供了强有力的证据。一旦建立了“DNA-Stemline”,在诱导、巩固和维持治疗期间用FCM测量重复样本。这些数据为白血病的细胞减少和可能的分化的动力学提供了重要的见解,特别是与传统的细胞计数和细胞分类方法相结合。DNA FCM检测到的非整倍体细胞的百分比经常与常规的原始细胞计数不同,这些差异为细胞减少和细胞分化提供了新的线索。我们还使用DNA测量来监测微小残留病和检测复发。
Total cellular DNA content measured by FCM has been studied by us [1–3] and others [4–8] for a number of years either alone or in conjunction with cellular RNA measurements [9] or with quantitative determinations of cell surface antigens [8, 10]. Abnormal DNA content, often found to be associated with abnormal chromosome numbers [11], is probably the most reliable “tumor marker” in clinical hematology, and in addition provides strong evidence for the clonality of hematopoietic tumors. Once a “DNA-stemline” is established, repeated samples are measured by FCM during induction, consolidation and maintenance therapy. The data provide important insights into the dynamics of cytoreduction and possibly differentiation of leukemia, especially in conjunction with conventional methods of cell counting and cell classification. The percentage of aneuploid cells detected by DNA FCM is often at variance with conventional blast cell counts and these discrepancies shed new light on the events involved in cytoreduction and cell differentiation. We also have used DNA measurements to monitor minimal residual disease and to detect relapse.
DOI: --
发表时间: 1984
影响因子: --
作者:
通讯作者: --
DOI: 10.1126/science.6538699
发表时间: 1984-01-01
期刊: SCIENCE
影响因子: 56.9
作者:
SLAMON, DJ;DEKERNION, JB;CLINE, MJ
通讯作者: CLINE, MJ
DOI: 10.1073/pnas.80.18.5573
发表时间: 1983-01-01
期刊: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA-BIOLOGICAL SCIENCES
影响因子: --
作者:
DOLBEARE, F;GRATZNER, H;GRAY, JW
通讯作者: GRAY, JW
DOI: 10.1007/s10549-008-0143-x
发表时间: 2009-06-01
影响因子: 3.8
作者:
Tewes, Mitra;Aktas, Bahriye;Kasimir-Bauer, Sabine
通讯作者: Kasimir-Bauer, Sabine
DOI: 10.1182/blood.v60.4.959.bloodjournal604959
发表时间: 1982-10
期刊: Blood
影响因子: 20.3
作者:
A. Look;S. Melvin;D. Williams;G. Brodeur;G. Dahl;D. Kalwinsky;S. Murphy;A. Mauer
通讯作者: A. Look;S. Melvin;D. Williams;G. Brodeur;G. Dahl;D. Kalwinsky;S. Murphy;A. Mauer