Connection
Fenghuang Zhan to Prognosis
This is a "connection" page, showing publications Fenghuang Zhan has written about Prognosis.
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Connection Strength |
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1.166 |
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Guo W, Zhan Y, Mery D, Siegel ER, Sun F, Cheng Y, Ashby TC, Zhang Z, Bailey C, Alapat DV, Peng H, Hadidi SA, Thanendrarajan S, Schinke C, Zangari M, van Rhee F, Tricot G, Shaughnessy JD, Zhan F. Prognostic value of ferritin in ASCT MM patients: integration with GEP models and ISS series systems. Blood Cancer J. 2024 02 14; 14(1):30.
Score: 0.160
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Franqui-Machin R, Hao M, Bai H, Gu Z, Zhan X, Habelhah H, Jethava Y, Qiu L, Frech I, Tricot G, Zhan F. Destabilizing NEK2 overcomes resistance to proteasome inhibition in multiple myeloma. J Clin Invest. 2018 07 02; 128(7):2877-2893.
Score: 0.108
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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: 0.074
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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: 0.059
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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: 0.048
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Zhan F, Huang Y, Colla S, Stewart JP, Hanamura I, Gupta S, Epstein J, Yaccoby S, Sawyer J, Burington B, Anaissie E, Hollmig K, Pineda-Roman M, Tricot G, van Rhee F, Walker R, Zangari M, Crowley J, Barlogie B, Shaughnessy JD. The molecular classification of multiple myeloma. Blood. 2006 Sep 15; 108(6):2020-8.
Score: 0.047
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Li JR, Arsang-Jang S, Cheng Y, Sun F, D'Souza A, Dhakal B, Hari P, Huang Q, Auer P, Li Y, Urrutia R, Zhan F, Shaughnessy JD, Janz S, Dong J, Cheng C. Enhancing prognostic power in multiple myeloma using a plasma cell signature derived from single-cell RNA sequencing. Blood Cancer J. 2024 Mar 06; 14(1):38.
Score: 0.040
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Mao X, Yan W, Mery D, Liu J, Fan H, Xu J, Xu Y, Sui W, Deng S, Zou D, Du C, Yi S, van Rhee F, Barlogie B, Shaughnessy JD, Anderson KC, Zhan F, Qiu L, An G. Development and validation of an individualized and weighted Myeloma Prognostic Score System (MPSS) in patients with newly diagnosed multiple myeloma. Am J Hematol. 2024 04; 99(4):523-533.
Score: 0.040
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Zhan F, Barlogie B, Shaughnessy J. Toward the identification of distinct molecular and clinical entities of multiple myeloma using global gene expression profiling. Semin Hematol. 2003 Oct; 40(4):308-20.
Score: 0.039
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Mohan M, Gong Z, Ashby TC, Al Hadidi S, Thanendrarajan S, Schinke C, Alapat D, Shaughnessy JD, Zhan F, van Rhee F, Sawyer JR, Tian E, Zangari M. Concomitant deletion of the short arm (del(1p13.3)) and amplification or gain (1q21) of chromosome 1 by fluorescence in situ hybridization are associated with a poor clinical outcome in multiple myeloma. Cancer. 2023 08 15; 129(16):2491-2498.
Score: 0.038
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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: 0.035
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Jiang F, Tang X, Tang C, Hua Z, Ke M, Wang C, Zhao J, Gao S, Jurczyszyn A, Janz S, Beksac M, Zhan F, Gu C, Yang Y. HNRNPA2B1 promotes multiple myeloma progression by increasing AKT3 expression via m6A-dependent stabilization of ILF3 mRNA. J Hematol Oncol. 2021 04 01; 14(1):54.
Score: 0.033
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Deshpande S, Tytarenko RG, Wang Y, Boyle EM, Ashby C, Schinke CD, Thanendrarajan S, Zangari M, Zhan F, Davies FE, Morgan GJ, van Rhee F, Walker BA. Monitoring treatment response and disease progression in myeloma with circulating cell-free DNA. Eur J Haematol. 2021 Feb; 106(2):230-240.
Score: 0.032
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Gu C, Lu T, Wang W, Shao M, Wei R, Guo M, Li R, Qiao L, Hu Y, Zhan F, Seckinger A, Hose D, Yang Y. RFWD2 induces cellular proliferation and selective proteasome inhibitor resistance by mediating P27 ubiquitination in multiple myeloma. Leukemia. 2021 06; 35(6):1803-1807.
Score: 0.032
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Yu T, Du C, Ma X, Sui W, Yu Z, Liu L, Zhao L, Li Z, Xu J, Wei X, Zhou W, Deng S, Zou D, An G, Tai YT, Tricot G, Anderson KC, Qiu L, Zhan F, Hao M. Polycomb-like Protein 3 Induces Proliferation and Drug Resistance in Multiple Myeloma and Is Regulated by miRNA-15a. Mol Cancer Res. 2020 07; 18(7):1063-1073.
Score: 0.031
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Wu C, Zhang L, Brockman QR, Zhan F, Chen L. Chimeric antigen receptor T cell therapies for multiple myeloma. J Hematol Oncol. 2019 11 21; 12(1):120.
Score: 0.030
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Schibler J, Tomanek-Chalkley AM, Reedy JL, Zhan F, Spitz DR, Schultz MK, Goel A. Mitochondrial-Targeted Decyl-Triphenylphosphonium Enhances 2-Deoxy-D-Glucose Mediated Oxidative Stress and Clonogenic Killing of Multiple Myeloma Cells. PLoS One. 2016; 11(11):e0167323.
Score: 0.024
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Hao M, Zang M, Zhao L, Deng S, Xu Y, Qi F, An G, Qin Y, Sui W, Li F, Yang W, Li Z, Yi S, Zou D, Zhan F, Qiu L. Serum high expression of miR-214 and miR-135b as novel predictor for myeloma bone disease development and prognosis. Oncotarget. 2016 Apr 12; 7(15):19589-600.
Score: 0.023
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Li F, Hao M, Feng X, Zang M, Qin Y, Yi S, Li Z, Xu Y, Zhou L, Sui W, Deng S, Zou D, Zhan F, Qiu L. Downregulated miR-33b is a novel predictor associated with disease progression and poor prognosis in multiple myeloma. Leuk Res. 2015 Jul; 39(7):793-9.
Score: 0.022
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Hao M, Zang M, Wendlandt E, Xu Y, An G, Gong D, Li F, Qi F, Zhang Y, Yang Y, Zhan F, Qiu L. Low serum miR-19a expression as a novel poor prognostic indicator in multiple myeloma. Int J Cancer. 2015 Apr 15; 136(8):1835-44.
Score: 0.021
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Zou D, An G, Zhu G, Wang J, Shi L, Meng H, Xu Y, Sui W, Deng S, Zhan F, Qiu L. Secondary monoclonal gammopathy of undetermined significance is frequently associated with high response rate and superior survival in patients with plasma cell dyscrasias. Biol Blood Marrow Transplant. 2014 Mar; 20(3):319-25.
Score: 0.020
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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: 0.019
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An G, Shi L, Xu Y, Zou D, Deng S, Sui W, Zhu G, Xie Z, Hao M, Sun Q, Zhan F, Qiu L. Prognostic value of high serum lactate dehydrogenase in plasma cell dyscrasias: a re-evaluation in the context of cytogenetic aberration data. Leuk Lymphoma. 2013 Nov; 54(11):2556-9.
Score: 0.019
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Brown CO, Schibler J, Fitzgerald MP, Singh N, Salem K, Zhan F, Goel A. Scavenger receptor class A member 3 (SCARA3) in disease progression and therapy resistance in multiple myeloma. Leuk Res. 2013 Aug; 37(8):963-9.
Score: 0.019
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Zangari M, Yaccoby S, Pappas L, Cavallo F, Kumar NS, Ranganathan S, Suva LJ, Gruenwald JM, Kern S, Zhan F, Esseltine D, Tricot G. A prospective evaluation of the biochemical, metabolic, hormonal and structural bone changes associated with bortezomib response in multiple myeloma patients. Haematologica. 2011 Feb; 96(2):333-6.
Score: 0.016
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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: 0.016
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Anguiano A, Tuchman SA, Acharya C, Salter K, Gasparetto C, Zhan F, Dhodapkar M, Nevins J, Barlogie B, Shaughnessy JD, Potti A. Gene expression profiles of tumor biology provide a novel approach to prognosis and may guide the selection of therapeutic targets in multiple myeloma. J Clin Oncol. 2009 Sep 01; 27(25):4197-203.
Score: 0.015
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Brenne AT, Fagerli UM, Shaughnessy JD, V?tsveen TK, R? TB, Hella H, Zhan F, Barlogie B, Sundan A, B?rset M, Waage A. High expression of BCL3 in human myeloma cells is associated with increased proliferation and inferior prognosis. Eur J Haematol. 2009 May; 82(5):354-63.
Score: 0.014
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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: 0.013
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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: 0.013
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Park ES, Lee JS, Woo HG, Zhan F, Shih JH, Shaughnessy JD, Frederic Mushinski J. Heterologous tissue culture expression signature predicts human breast cancer prognosis. PLoS One. 2007 Jan 03; 2(1):e145.
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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van Rhee F, Szmania SM, Zhan F, Gupta SK, Pomtree M, Lin P, Batchu RB, Moreno A, Spagnoli G, Shaughnessy J, Tricot G. NY-ESO-1 is highly expressed in poor-prognosis multiple myeloma and induces spontaneous humoral and cellular immune responses. Blood. 2005 May 15; 105(10):3939-44.
Score: 0.011
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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: 0.011
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Maxwell CA, Rasmussen E, Zhan F, Keats JJ, Adamia S, Strachan E, Crainie M, Walker R, Belch AR, Pilarski LM, Barlogie B, Shaughnessy J, Reiman T. RHAMM expression and isoform balance predict aggressive disease and poor survival in multiple myeloma. Blood. 2004 Aug 15; 104(4):1151-8.
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: 0.010
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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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