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Connection

Fenghuang Zhan to Survival Rate

This is a "connection" page, showing publications Fenghuang Zhan has written about Survival Rate.

 
Connection Strength
 
 
 
0.127
 
  1. 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.
    View in: PubMed
    Score: 0.059
  2. An G, Xu Y, Shi L, Shizhen Z, Deng S, Xie Z, Sui W, Zhan F, Qiu L. Chromosome 1q21 gains confer inferior outcomes in multiple myeloma treated with bortezomib but copy number variation and percentage of plasma cells involved have no additional prognostic value. Haematologica. 2014 Feb; 99(2):353-9.
    View in: PubMed
    Score: 0.024
  3. 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.
    View in: PubMed
    Score: 0.017
  4. 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.
    View in: PubMed
    Score: 0.015
  5. 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.
    View in: PubMed
    Score: 0.012
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.