Header Logo
Keywords
Last Name
Institution
Announcement

You can now add alternative names! Click here to add other names that you've published under.

Connection

Guido Tricot to Neoplasm Proteins

This is a "connection" page, showing publications Guido Tricot has written about Neoplasm Proteins.

 
Connection Strength
 
 
 
0.665
 
  1. Zangari M, Cavallo F, Tricot G. Farnesyltransferase inhibitors and rapamycin in the treatment of multiple myeloma. Curr Pharm Biotechnol. 2006 Dec; 7(6):449-53.
    View in: PubMed
    Score: 0.241
  2. 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).
    View in: PubMed
    Score: 0.166
  3. Gu C, Holman C, Sompallae R, Jing X, Tomasson M, Hose D, Seckinger A, Zhan F, Tricot G, Goldschmidt H, Yang Y, Janz S. Upregulation of FOXM1 in a subset of relapsed myeloma results in poor outcome. Blood Cancer J. 2018 02 15; 8(2):22.
    View in: PubMed
    Score: 0.131
  4. Szmania S, Gnjatic S, Tricot G, Stone K, Zhan F, Moreno A, Thuro B, Melenhorst J, Barrett J, Shaughnessy J, Old LJ, Barlogie B, Brichard VG, van Rhee F. Immunization with a recombinant MAGE-A3 protein after high-dose therapy for myeloma. J Immunother. 2007 Nov-Dec; 30(8):847-54.
    View in: PubMed
    Score: 0.064
  5. Tricot G. Prognostic factors in multiple myeloma. Clin Adv Hematol Oncol. 2005 Mar; 3(3):167-8.
    View in: PubMed
    Score: 0.053
  6. 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.
    View in: PubMed
    Score: 0.011
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.