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Cell microarray platform for anticancer drug development

delete2007-11-13
delete0
PRE
AI
M
Minjung Lee
E
Eun Joo Chung
S
Sunmin Lee
J
Joon‐Yong Chung
W
William G. Telford
E
Edward A. Sausville
I
Ivana Gojo
J
Judith E. Karp
S
Steven D. Gore
V
Veena Kapoor
Y
Yeong Sang Kim
S
Shivaani Kummar
M
Martin Gutierrez
S
Stephen M. Hewitt
J
Jane B. Trepel *
DOI:10.1002/ddr.20183delete
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摘要

摘要

En 中文
Pharmacodynamic assessment of whether a drug has interacted with and modified its target is an essential component of molecularly targeted clinical trials. Although many trials are written with the intent to assess tumor biopsies, if available, thus far the great majority of early drug trials have used peripheral blood mononuclear cells (PBMC) as a tumor surrogate. Typically, PBMC are studied by low-throughput techniques such as Western blot. We present the use of a cell-based tissue microarray for assessment of anticancer drug activity in vivo. We demonstrate the utility of this technique for analysis of protein hyperacetylation in response to treatment with the histone deacetylase inhibitor, SNDX-275 in PBMC treated in vitro and in PBMC and bone marrow aspirates from patients in Phase I clinical trials with SNDX-275. We demonstrate that the cell microarray can be used to measure drug response in a high-throughput manner, allowing analysis of an entire trial on one or two glass slides. The cell microarray technique brings the advantages of the tissue microarray platform to the pharmacodynamic assessment of single cells, such as those isolated from bone marrow aspirates, fine needle aspirates, or malignant effusions, and to analysis of PBMC, the most commonly studied surrogate in oncology trials.
Keyword:
pharmacodynamic
tissue microarray
histone deacetylase inhibitor
high-throughput
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Drug Development Research 封面图
Drug Development Research
IF:
4.2
论文数:
2.9K
被引数:
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机构

N
national institutes of health (nih) - usa
学者数:
10.3W
论文数: 8.2W
被引数: 111
N
nih center for cancer research (ccr)
学者数:
136
论文数: 56
被引数: 0
N
nih national cancer institute (nci)
学者数:
2.1W
论文数: 1.6W
被引数: 27
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引用论文

引用论文

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