Connection
Sarah Johnson to Multiple Myeloma
This is a "connection" page, showing publications Sarah Johnson has written about Multiple Myeloma.
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Connection Strength |
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0.909 |
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Johnson SK, Stewart JP, Bam R, Qu P, Barlogie B, van Rhee F, Shaughnessy JD, Epstein J, Yaccoby S. CYR61/CCN1 overexpression in the myeloma microenvironment is associated with superior survival and reduced bone disease. Blood. 2014 Sep 25; 124(13):2051-60.
Score: 0.170
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Johnson SK, Heuck CJ, Albino AP, Qu P, Zhang Q, Barlogie B, Shaughnessy JD. The use of molecular-based risk stratification and pharmacogenomics for outcome prediction and personalized therapeutic management of multiple myeloma. Int J Hematol. 2011 Oct; 94(4):321-333.
Score: 0.141
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Mehdi SJ, Ghatak K, Ling W, Johnson SK, Epstein J, Nookaew I, Zangari M, Schinke C, Thanendrarajan S, van Rhee F, Yaccoby S. Growth and dormancy control of myeloma cells by mesenchymal stem cells. Leuk Res. 2023 10; 133:107355.
Score: 0.079
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Boyle EM, Rosenthal A, Ghamlouch H, Wang Y, Farmer P, Rutherford M, Ashby C, Bauer M, Johnson SK, Wardell CP, Wang Y, Hoering A, Schinke C, Thanendrarajan S, Zangari M, Barlogie B, Dhodapkar MV, Davies FE, Morgan GJ, van Rhee F, Walker BA. Plasma cells expression from smouldering myeloma to myeloma reveals the importance of the PRC2 complex, cell cycle progression, and the divergent evolutionary pathways within the different molecular subgroups. Leukemia. 2022 02; 36(2):591-595.
Score: 0.069
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Li C, Xia J, Franqui-Machin R, Chen F, He Y, Ashby TC, Teng F, Xu H, Liu D, Gai D, Johnson SK, van Rhee F, Janz S, Shaughnessy JD, Tricot G, Frech I, Zhan F. TRIP13 modulates protein deubiquitination and accelerates tumor development and progression of B cell malignancies. J Clin Invest. 2021 07 15; 131(14).
Score: 0.069
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Boyle EM, Rosenthal A, Wang Y, Farmer P, Rutherford M, Ashby C, Bauer M, Johnson SK, Wardell CP, Hoering A, Schinke C, Thanendrarajan S, Zangari M, Barlogie B, Davies FE, Walker BA, van Rhee F, Morgan GJ. High-risk transcriptional profiles in multiple myeloma are an acquired feature that can occur in any subtype and more frequently with each subsequent relapse. Br J Haematol. 2021 10; 195(2):283-286.
Score: 0.069
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Boyle EM, Ashby C, Tytarenko RG, Deshpande S, Wang H, Wang Y, Rosenthal A, Sawyer J, Tian E, Flynt E, Hoering A, Johnson SK, Rutherford MW, Wardell CP, Bauer MA, Dumontet C, Facon T, Thanendrarajan S, Schinke CD, Zangari M, van Rhee F, Barlogie B, Cairns D, Jackson G, Thakurta A, Davies FE, Morgan GJ, Walker BA. BRAF and DIS3 Mutations Associate with Adverse Outcome in a Long-term Follow-up of Patients with Multiple Myeloma. Clin Cancer Res. 2020 05 15; 26(10):2422-2432.
Score: 0.062
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Sridharan A, Schinke CD, Georgiev G, Da Silva Ferreira M, Thiruthuvanathan V, MacArthur I, Bhagat TD, Choudhary GS, Aluri S, Chen J, Pradhan K, Xia Y, Panjikaran M, Sims G, Bhagat CK, Bender R, Keeler L, Graber A, Heuck C, Fletcher FA, Alapat D, Weinhold N, Johnson SK, Wickrema A, Barlogie B, Morgan GJ, Shastri A, Steidl U, Will B, Verma A. Stem cell mutations can be detected in myeloma patients years before onset of secondary leukemias. Blood Adv. 2019 12 10; 3(23):3962-3967.
Score: 0.062
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Mehdi SJ, Johnson SK, Epstein J, Zangari M, Qu P, Hoering A, van Rhee F, Schinke C, Thanendrarajan S, Barlogie B, Davies FE, Morgan GJ, Yaccoby S. Mesenchymal stem cells gene signature in high-risk myeloma bone marrow linked to suppression of distinct IGFBP2-expressing small adipocytes. Br J Haematol. 2019 02; 184(4):578-593.
Score: 0.057
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Schinke C, Qu P, Mehdi SJ, Hoering A, Epstein J, Johnson SK, van Rhee F, Zangari M, Thanendrarajan S, Barlogie B, Davies FE, Yaccoby S, Morgan GJ. The Pattern of Mesenchymal Stem Cell Expression Is an Independent Marker of Outcome in Multiple Myeloma. Clin Cancer Res. 2018 06 15; 24(12):2913-2919.
Score: 0.055
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Paiva B, Corchete LA, Vidriales MB, Puig N, Maiso P, Rodriguez I, Alignani D, Burgos L, Sanchez ML, Barcena P, Echeveste MA, Hernandez MT, Garc?a-Sanz R, Ocio EM, Oriol A, Gironella M, Palomera L, De Arriba F, Gonzalez Y, Johnson SK, Epstein J, Barlogie B, Lahuerta JJ, Blade J, Orfao A, Mateos MV, San Miguel JF. Phenotypic and genomic analysis of multiple myeloma minimal residual disease tumor cells: a new model to understand chemoresistance. Blood. 2016 Apr 14; 127(15):1896-906.
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: 0.027
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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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