Connection
Fenghuang Zhan to Gene Expression Profiling
This is a "connection" page, showing publications Fenghuang Zhan has written about Gene Expression Profiling.
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Connection Strength |
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1.609 |
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Salama ME, Du S, Efimova O, Heikal NM, Wendlandt E, Toydemir RM, South S, Perkins SL, Hussong JW, Zhan F. Neoplastic plasma cell aberrant antigen expression patterns and their association with genetic abnormalities. Leuk Lymphoma. 2015 Feb; 56(2):426-33.
Score: 0.351
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Zhan F, Barlogie B, Arzoumanian V, Huang Y, Williams DR, Hollmig K, Pineda-Roman M, Tricot G, van Rhee F, Zangari M, Dhodapkar M, Shaughnessy JD. Gene-expression signature of benign monoclonal gammopathy evident in multiple myeloma is linked to good prognosis. Blood. 2007 Feb 15; 109(4):1692-700.
Score: 0.204
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Sun F, Cheng Y, Ying J, Mery D, Al Hadidi S, Wanchai V, Siegel ER, Xu H, Gai D, Ashby TC, Bailey C, Chen JR, Schinke C, Thanendrarajan S, Zangari M, Janz S, Barlogie B, Van Rhee F, Tricot G, Shaughnessy JD, Zhan F. A gene signature can predict risk of MGUS progressing to multiple myeloma. J Hematol Oncol. 2023 06 29; 16(1):70.
Score: 0.162
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Zhan F, Tian E, Bumm K, Smith R, Barlogie B, Shaughnessy J. Gene expression profiling of human plasma cell differentiation and classification of multiple myeloma based on similarities to distinct stages of late-stage B-cell development. Blood. 2003 Feb 01; 101(3):1128-40.
Score: 0.154
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Zhan F, Hardin J, Kordsmeier B, Bumm K, Zheng M, Tian E, Sanderson R, Yang Y, Wilson C, Zangari M, Anaissie E, Morris C, Muwalla F, van Rhee F, Fassas A, Crowley J, Tricot G, Barlogie B, Shaughnessy J. Global gene expression profiling of multiple myeloma, monoclonal gammopathy of undetermined significance, and normal bone marrow plasma cells. Blood. 2002 Mar 01; 99(5):1745-57.
Score: 0.148
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Huang J, Zhou Y, Thomas GS, Gu Z, Yang Y, Xu H, Tricot G, Zhan F. NEDD8 Inhibition Overcomes CKS1B-Induced Drug Resistance by Upregulation of p21 in Multiple Myeloma. Clin Cancer Res. 2015 Dec 15; 21(24):5532-42.
Score: 0.093
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Zhou W, Yang Y, Xia J, Wang H, Salama ME, Xiong W, Xu H, Shetty S, Chen T, Zeng Z, Shi L, Zangari M, Miles R, Bearss D, Tricot G, Zhan F. NEK2 induces drug resistance mainly through activation of efflux drug pumps and is associated with poor prognosis in myeloma and other cancers. Cancer Cell. 2013 Jan 14; 23(1):48-62.
Score: 0.079
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Santin AD, Zhan F, Bignotti E, Siegel ER, Can? S, Bellone S, Palmieri M, Anfossi S, Thomas M, Burnett A, Kay HH, Roman JJ, O'Brien TJ, Tian E, Cannon MJ, Shaughnessy J, Pecorelli S. Gene expression profiles of primary HPV16- and HPV18-infected early stage cervical cancers and normal cervical epithelium: identification of novel candidate molecular markers for cervical cancer diagnosis and therapy. Virology. 2005 Jan 20; 331(2):269-91.
Score: 0.045
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Shaughnessy J, Zhan F, Barlogie B, Stewart AK. Gene expression profiling and multiple myeloma. Best Pract Res Clin Haematol. 2005; 18(4):537-52.
Score: 0.045
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Tarte K, Zhan F, De Vos J, Klein B, Shaughnessy J. Gene expression profiling of plasma cells and plasmablasts: toward a better understanding of the late stages of B-cell differentiation. Blood. 2003 Jul 15; 102(2):592-600.
Score: 0.040
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Bumm K, Zheng M, Bailey C, Zhan F, Chiriva-Internati M, Eddlemon P, Terry J, Barlogie B, Shaughnessy JD. CGO: utilizing and integrating gene expression microarray data in clinical research and data management. Bioinformatics. 2002 Feb; 18(2):327-8.
Score: 0.037
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Gu C, Jing X, Holman C, Sompallae R, Zhan F, Tricot G, Yang Y, Janz S. Upregulation of FOXM1 leads to diminished drug sensitivity in myeloma. BMC Cancer. 2018 Nov 21; 18(1):1152.
Score: 0.030
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Tao Y, Yang G, Yang H, Song D, Hu L, Xie B, Wang H, Gao L, Gao M, Xu H, Xu Z, Wu X, Zhang Y, Zhu W, Zhan F, Shi J. TRIP13 impairs mitotic checkpoint surveillance and is associated with poor prognosis in multiple myeloma. Oncotarget. 2017 Apr 18; 8(16):26718-26731.
Score: 0.026
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Kelly KR, Espitia CM, Zhao W, Wendlandt E, Tricot G, Zhan F, Carew JS, Nawrocki ST. Junctional adhesion molecule-A is overexpressed in advanced multiple myeloma and determines response to oncolytic reovirus. Oncotarget. 2015 Dec 01; 6(38):41275-89.
Score: 0.024
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Gao M, Gao L, Yang G, Tao Y, Hou J, Xu H, Hu X, Han Y, Zhang Q, Zhan F, Wu X, Shi J. Myeloma cells resistance to NK cell lysis mainly involves an HLA class I-dependent mechanism. Acta Biochim Biophys Sin (Shanghai). 2014 Jul; 46(7):597-604.
Score: 0.022
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Yang Y, Shi J, Tolomelli G, Xu H, Xia J, Wang H, Zhou W, Zhou Y, Das S, Gu Z, Levasseur D, Zhan F, Tricot G. RARa2 expression confers myeloma stem cell features. Blood. 2013 Aug 22; 122(8):1437-47.
Score: 0.020
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van Rhee F, Szmania SM, Dillon M, van Abbema AM, Li X, Stone MK, Garg TK, Shi J, Moreno-Bost AM, Yun R, Balasa B, Ganguly B, Chao D, Rice AG, Zhan F, Shaughnessy JD, Barlogie B, Yaccoby S, Afar DE. Combinatorial efficacy of anti-CS1 monoclonal antibody elotuzumab (HuLuc63) and bortezomib against multiple myeloma. Mol Cancer Ther. 2009 Sep; 8(9):2616-24.
Score: 0.016
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Hsi ED, Steinle R, Balasa B, Szmania S, Draksharapu A, Shum BP, Huseni M, Powers D, Nanisetti A, Zhang Y, Rice AG, van Abbema A, Wong M, Liu G, Zhan F, Dillon M, Chen S, Rhodes S, Fuh F, Tsurushita N, Kumar S, Vexler V, Shaughnessy JD, Barlogie B, van Rhee F, Hussein M, Afar DE, Williams MB. CS1, a potential new therapeutic antibody target for the treatment of multiple myeloma. Clin Cancer Res. 2008 May 01; 14(9):2775-84.
Score: 0.014
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Park ES, Shaughnessy JD, Gupta S, Wang H, Lee JS, Woo HG, Zhan F, Owens JD, Potter M, Janz S, Mushinski JF. Gene expression profiling reveals different pathways related to Abl and other genes that cooperate with c-Myc in a model of plasma cell neoplasia. BMC Genomics. 2007 Aug 31; 8:302.
Score: 0.014
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Annunziata CM, Davis RE, Demchenko Y, Bellamy W, Gabrea A, Zhan F, Lenz G, Hanamura I, Wright G, Xiao W, Dave S, Hurt EM, Tan B, Zhao H, Stephens O, Santra M, Williams DR, Dang L, Barlogie B, Shaughnessy JD, Kuehl WM, Staudt LM. Frequent engagement of the classical and alternative NF-kappaB pathways by diverse genetic abnormalities in multiple myeloma. Cancer Cell. 2007 Aug; 12(2):115-30.
Score: 0.013
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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: 0.013
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Hanamura I, Stewart JP, Huang Y, Zhan F, Santra M, Sawyer JR, Hollmig K, Zangarri M, Pineda-Roman M, van Rhee F, Cavallo F, Burington B, Crowley J, Tricot G, Barlogie B, Shaughnessy JD. Frequent gain of chromosome band 1q21 in plasma-cell dyscrasias detected by fluorescence in situ hybridization: incidence increases from MGUS to relapsed myeloma and is related to prognosis and disease progression following tandem stem-cell transplantation. Blood. 2006 Sep 01; 108(5):1724-32.
Score: 0.012
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Ge Y, Zhan F, Barlogie B, Epstein J, Shaughnessy J, Yaccoby S. Fibroblast activation protein (FAP) is upregulated in myelomatous bone and supports myeloma cell survival. Br J Haematol. 2006 Apr; 133(1):83-92.
Score: 0.012
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Carrasco DR, Tonon G, Huang Y, Zhang Y, Sinha R, Feng B, Stewart JP, Zhan F, Khatry D, Protopopova M, Protopopov A, Sukhdeo K, Hanamura I, Stephens O, Barlogie B, Anderson KC, Chin L, Shaughnessy JD, Brennan C, Depinho RA. High-resolution genomic profiles define distinct clinico-pathogenetic subgroups of multiple myeloma patients. Cancer Cell. 2006 Apr; 9(4):313-25.
Score: 0.012
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Bergsagel PL, Kuehl WM, Zhan F, Sawyer J, Barlogie B, Shaughnessy J. Cyclin D dysregulation: an early and unifying pathogenic event in multiple myeloma. Blood. 2005 Jul 01; 106(1):296-303.
Score: 0.011
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Kelly T, Miao HQ, Yang Y, Navarro E, Kussie P, Huang Y, MacLeod V, Casciano J, Joseph L, Zhan F, Zangari M, Barlogie B, Shaughnessy J, Sanderson RD. High heparanase activity in multiple myeloma is associated with elevated microvessel density. Cancer Res. 2003 Dec 15; 63(24):8749-56.
Score: 0.010
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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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