کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
2162194 | 1091239 | 2011 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
An Integrated Genomic Approach to the Assessment and Treatment of Acute Myeloid Leukemia
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موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
تحقیقات سرطان
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چکیده انگلیسی
Traditionally, new scientific advances have been applied quickly to the leukemias based on the ease with which relatively pure samples of malignant cells can be obtained. Currently, our arsenal of approaches used to characterize an individual's acute myeloid leukemia (AML) combines hematopathologic evaluation, flow cytometry, cytogenetic analysis, and molecular studies focused on a few key genes. The advent of high-throughput methods capable of full-genome evaluation presents new options for a revolutionary change in the way we diagnose, characterize, and treat AML. Next-generation DNA sequencing techniques allow full sequencing of a cancer genome or transcriptome, with the hope that this will be affordable for routine clinical care within the decade. Microarray-based testing will define gene and miRNA expression, DNA methylation patterns, chromosomal imbalances, and predisposition to disease and chemosensitivity. The vision for the future entails an integrated and automated approach to these analyses, bringing the possibility of formulating an individualized treatment plan within days of a patient's initial presentation. With these expectations comes the hope that such an approach will lead to decreased toxicities and prolonged survival for patients.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Seminars in Oncology - Volume 38, Issue 2, April 2011, Pages 215-224
Journal: Seminars in Oncology - Volume 38, Issue 2, April 2011, Pages 215-224
نویسندگان
Lucy A. Godley, John Cunningham, M. Eileen Dolan, R. Stephanie Huang, Sandeep Gurbuxani, Megan E. McNerney, Richard A. Larson, Hoyee Leong, Yves Lussier, Kenan Onel, Olatoyosi Odenike, Wendy Stock, Kevin P. White, Michelle M. Le Beau,