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Connection

Carolina Schinke to Signal Transduction

This is a "connection" page, showing publications Carolina Schinke has written about Signal Transduction.

 
Connection Strength
  
 
 
0.571
  
  1. Schinke C, Giricz O, Li W, Shastri A, Gordon S, Barreyro L, Barreryo L, Bhagat T, Bhattacharyya S, Ramachandra N, Bartenstein M, Pellagatti A, Boultwood J, Wickrema A, Yu Y, Will B, Wei S, Steidl U, Verma A. IL8-CXCR2 pathway inhibition as a therapeutic strategy against MDS and AML stem cells. Blood. 2015 May 14; 125(20):3144-52.
    View in: PubMed
    Score: 0.305
  2. Sabol HM, Ashby C, Adhikari M, Anloague A, Kaur J, Khan S, Choudhury SR, Schinke C, Palmieri M, Barnes CL, Ambrogini E, Nookaew I, Delgado-Calle J. A NOTCH3-CXCL12-driven myeloma-tumor niche signaling axis promotes chemoresistance in multiple myeloma. Haematologica. 2024 08 01; 109(8):2606-2618.
    View in: PubMed
    Score: 0.146
  3. Bachegowda L, Gligich O, Mantzaris I, Schinke C, Wyville D, Carrillo T, Braunschweig I, Steidl U, Verma A. Signal transduction inhibitors in treatment of myelodysplastic syndromes. J Hematol Oncol. 2013 Jul 10; 6:50.
    View in: PubMed
    Score: 0.068
  4. 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.
    View in: PubMed
    Score: 0.030
  5. Morgan GJ, He J, Tytarenko R, Patel P, Stephens OW, Zhong S, Deshpande S, Bauer M, Weinhold N, Schinke C, Rasche L, Bailey M, Ali S, Ross J, Miller VA, Stephens P, Thanendrarajan S, Zangari M, van Rhee F, Mughal T, Davies FE, Walker BA. Kinase domain activation through gene rearrangement in multiple myeloma. Leukemia. 2018 11; 32(11):2435-2444.
    View in: PubMed
    Score: 0.023
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.