Connection
Fenghuang Zhan to Risk Factors
This is a "connection" page, showing publications Fenghuang Zhan has written about Risk Factors.
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Connection Strength |
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0.259 |
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Chen L, Wang S, Zhou Y, Wu X, Entin I, Epstein J, Yaccoby S, Xiong W, Barlogie B, Shaughnessy JD, Zhan F. Identification of early growth response protein 1 (EGR-1) as a novel target for JUN-induced apoptosis in multiple myeloma. Blood. 2010 Jan 07; 115(1):61-70.
Score: 0.047
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Xiong W, Wu X, Starnes S, Johnson SK, Haessler J, Wang S, Chen L, Barlogie B, Shaughnessy JD, Zhan F. An analysis of the clinical and biologic significance of TP53 loss and the identification of potential novel transcriptional targets of TP53 in multiple myeloma. Blood. 2008 Nov 15; 112(10):4235-46.
Score: 0.042
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Zhan F, Barlogie B, Mulligan G, Shaughnessy JD, Bryant B. High-risk myeloma: a gene expression based risk-stratification model for newly diagnosed multiple myeloma treated with high-dose therapy is predictive of outcome in relapsed disease treated with single-agent bortezomib or high-dose dexamethasone. Blood. 2008 Jan 15; 111(2):968-9.
Score: 0.042
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Zhan FH, Barlogie B, John D S. Gene expression profiling defines a high-risk entity of multiple myeloma. Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2007 Apr; 32(2):191-203.
Score: 0.040
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Tomasson MH, Ali M, De Oliveira V, Xiao Q, Jethava Y, Zhan F, Fitzsimmons AM, Bates ML. Prevention Is the Best Treatment: The Case for Understanding the Transition from Monoclonal Gammopathy of Undetermined Significance to Myeloma. Int J Mol Sci. 2018 Nov 16; 19(11).
Score: 0.022
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Zangari M, Berno T, Zhan F, Tricot G, Fink L. Mechanisms of thrombosis in paraproteinemias: the effects of immunomodulatory drugs. Semin Thromb Hemost. 2012 Nov; 38(8):768-79.
Score: 0.015
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Zangari M, Zhan F, Tricot G. Bone and paraproteinemias. Curr Opin Support Palliat Care. 2010 Sep; 4(3):195-9.
Score: 0.013
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Haessler J, Shaughnessy JD, Zhan F, Crowley J, Epstein J, van Rhee F, Anaissie E, Pineda-Roman M, Zangari M, Hollmig K, Mohiuddin A, Alsayed Y, Hoering A, Tricot G, Barlogie B. Benefit of complete response in multiple myeloma limited to high-risk subgroup identified by gene expression profiling. Clin Cancer Res. 2007 Dec 01; 13(23):7073-9.
Score: 0.010
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Prasad HK, Zhan F, Shaughnessy J. Smoldering multiple myeloma. N Engl J Med. 2007 Sep 06; 357(10):1048; author reply 1049-50.
Score: 0.010
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Shaughnessy JD, Zhan F, Burington BE, Huang Y, Colla S, Hanamura I, Stewart JP, Kordsmeier B, Randolph C, Williams DR, Xiao Y, Xu H, Epstein J, Anaissie E, Krishna SG, Cottler-Fox M, Hollmig K, Mohiuddin A, Pineda-Roman M, Tricot G, van Rhee F, Sawyer J, Alsayed Y, Walker R, Zangari M, Crowley J, Barlogie B. A validated gene expression model of high-risk multiple myeloma is defined by deregulated expression of genes mapping to chromosome 1. Blood. 2007 Mar 15; 109(6):2276-84.
Score: 0.010
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Zent CS, Zhan F, Schichman SA, Bumm KH, Lin P, Chen JB, Shaughnessy JD. The distinct gene expression profiles of chronic lymphocytic leukemia and multiple myeloma suggest different anti-apoptotic mechanisms but predict only some differences in phenotype. Leuk Res. 2003 Sep; 27(9):765-74.
Score: 0.008
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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