Five gene probes carry most of the discriminatory power of the 70-gene risk model in multiple myeloma-Reference-Cited by-同舟云学术

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Five gene probes carry most of the discriminatory power of the 70-gene risk model in multiple myeloma

Published:2014-07-31 Issue:12 Volume:28 Page:2410-2413
ISSN:0887-6924
Container-title:Leukemia
language:en
Short-container-title:Leukemia

Author:

Heuck C J,Qu P,van Rhee F,Waheed S,Usmani S Z,Epstein J,Zhang Q,Edmondson R,Hoering A,Crowley J,Barlogie B

Publisher

Springer Science and Business Media LLC

Subject

Oncology,Cancer Research,Hematology

Link

http://www.nature.com/articles/leu2014232.pdf

Reference14 articles.

1. Shaughnessy JD Jr, Zhan F, Burington BE, Huang Y, Colla S, Hanamura I et al. A validated gene expression model of high-risk multiple myeloma is defined by deregulated expression of genes mapping to chromosome 1. Blood 2007; 109: 2276–2284.

2. Decaux O, Lode L, Magrangeas F, Charbonnel C, Gouraud W, Jezequel P et al. Prediction of survival in multiple myeloma based on gene expression profiles reveals cell cycle and chromosomal instability signatures in high-risk patients and hyperdiploid signatures in low-risk patients: a study of the Intergroupe Francophone du Myelome. J Clin Oncol 2008; 26: 4798–4805.

3. Wu P, Walker BA, Brewer D, Gregory WM, Ashcroft J, Ross FM et al. A gene expression-based predictor for myeloma patients at high risk of developing bone disease on bisphosphonate treatment. Clin Cancer Res 2011; 17: 6347–6355.

4. Kuiper R, Broyl A, de Knegt Y, van Vliet MH, van Beers EH, van der Holt B et al. A gene expression signature for high-risk multiple myeloma. Leukemia 2012; 26: 2406–2413.

5. Johnson SK, Heuck CJ, Albino AP, Qu P, Zhang Q, Barlogie B et al. The use of molecular-based risk stratification and pharmacogenomics for outcome prediction and personalized therapeutic management of multiple myeloma. Int J Hematol 2011; 94: 321–333.

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