Literature DB >> 27470604

MicroRNA expression-based outcome prediction in acute myeloid leukemia: novel insights through cross-platform integrative analyses.

Velizar Shivarov1, Anna Dolnik2, Katharina M Lang2, Jan Krönke2, Florian Kuchenbauer2, Peter Paschka2, Verena I Gaidzik2, Hartmut Döhner2, Richard F Schlenk2, Konstanze Döhner2, Lars Bullinger3.   

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Year:  2016        PMID： 27470604      PMCID： PMC5394860          DOI： 10.3324/haematol.2016.146555

Source DB:  PubMed          Journal:  Haematologica        ISSN： 0390-6078            Impact factor:   9.941


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  15 in total

Review 1.  The prognostic and functional role of microRNAs in acute myeloid leukemia.

Authors:  Guido Marcucci; Krzysztof Mrózek; Michael D Radmacher; Ramiro Garzon; Clara D Bloomfield
Journal:  Blood       Date:  2010-11-02       Impact factor: 22.113

2.  Integrative nucleophosmin mutation-associated microRNA and gene expression pattern analysis identifies novel microRNA - target gene interactions in acute myeloid leukemia.

Authors:  Annika C Russ; Sandrine Sander; Sonja C Lück; Katharina M Lang; Marion Bauer; Frank G Rücker; Hans A Kestler; Richard F Schlenk; Hartmut Döhner; Karlheinz Holzmann; Konstanze Döhner; Lars Bullinger
Journal:  Haematologica       Date:  2011-08-31       Impact factor: 9.941

3.  Commonly altered genomic regions in acute myeloid leukemia are enriched for somatic mutations involved in chromatin remodeling and splicing.

Authors:  Anna Dolnik; Julia C Engelmann; Maren Scharfenberger-Schmeer; Julian Mauch; Sabine Kelkenberg-Schade; Berit Haldemann; Tamara Fries; Jan Krönke; Michael W M Kühn; Peter Paschka; Sabine Kayser; Stephan Wolf; Verena I Gaidzik; Richard F Schlenk; Frank G Rücker; Hartmut Döhner; Claudio Lottaz; Konstanze Döhner; Lars Bullinger
Journal:  Blood       Date:  2012-09-13       Impact factor: 22.113

4.  MicroRNA expression at diagnosis adds relevant prognostic information to molecular categorization in patients with intermediate-risk cytogenetic acute myeloid leukemia.

Authors:  M Díaz-Beyá; S Brunet; J Nomdedéu; R Tejero; T Díaz; M Pratcorona; M Tormo; J M Ribera; L Escoda; R Duarte; D Gallardo; I Heras; M P Queipo de Llano; J Bargay; M Monzo; J Sierra; A Navarro; J Esteve
Journal:  Leukemia       Date:  2013-09-27       Impact factor: 11.528

5.  A 3-microRNA scoring system for prognostication in de novo acute myeloid leukemia patients.

Authors:  M-K Chuang; Y-C Chiu; W-C Chou; H-A Hou; E Y Chuang; H-F Tien
Journal:  Leukemia       Date:  2014-11-27       Impact factor: 11.528

Review 6.  Emerging roles of the spliceosomal machinery in myelodysplastic syndromes and other hematological disorders.

Authors:  V Visconte; H Makishima; J P Maciejewski; R V Tiu
Journal:  Leukemia       Date:  2012-05-15       Impact factor: 11.528

7.  Quantitative DNA methylation predicts survival in adult acute myeloid leukemia.

Authors:  Lars Bullinger; Mathias Ehrich; Konstanze Döhner; Richard F Schlenk; Hartmut Döhner; Matthew R Nelson; Dirk van den Boom
Journal:  Blood       Date:  2009-11-10       Impact factor: 22.113

8.  Patterns of missplicing due to somatic U2AF1 mutations in myeloid neoplasms.

Authors:  Bartlomiej Przychodzen; Andres Jerez; Kathryn Guinta; Mikkael A Sekeres; Richard Padgett; Jaroslaw P Maciejewski; Hideki Makishima
Journal:  Blood       Date:  2013-06-17       Impact factor: 22.113

9.  MicroRNA expression profiling in relation to the genetic heterogeneity of acute myeloid leukemia.

Authors:  Mojca Jongen-Lavrencic; Su Ming Sun; Menno K Dijkstra; Peter J M Valk; Bob Löwenberg
Journal:  Blood       Date:  2008-03-12       Impact factor: 22.113

10.  MicroRNA signatures associated with cytogenetics and prognosis in acute myeloid leukemia.

Authors:  Ramiro Garzon; Stefano Volinia; Chang-Gong Liu; Cecilia Fernandez-Cymering; Tiziana Palumbo; Flavia Pichiorri; Muller Fabbri; Kevin Coombes; Hansjuerg Alder; Tatsuya Nakamura; Neal Flomenberg; Guido Marcucci; George A Calin; Steven M Kornblau; Hagop Kantarjian; Clara D Bloomfield; Michael Andreeff; Carlo M Croce
Journal:  Blood       Date:  2008-01-10       Impact factor: 22.113
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  3 in total

1.  Gene expression patterns as predictive biomarkers in hematology-oncology: principal hurdles on the road to the clinic.

Authors:  Filip Rázga; Veronika Némethová
Journal:  Haematologica       Date:  2017-01       Impact factor: 9.941

Review 2.  The PI3K-Akt-mTOR Signaling Pathway in Human Acute Myeloid Leukemia (AML) Cells.

Authors:  Ina Nepstad; Kimberley Joanne Hatfield; Ida Sofie Grønningsæter; Håkon Reikvam
Journal:  Int J Mol Sci       Date:  2020-04-21       Impact factor: 5.923

3.  High expression of miR-25 predicts favorable chemotherapy outcome in patients with acute myeloid leukemia.

Authors:  Mingshan Niu; Yuan Feng; Ninghan Zhang; Tingting Shao; Huihui Zhang; Rong Wang; Yao Yao; Ruosi Yao; Qingyun Wu; Jiang Cao; Xuejiao Liu; Yubo Liu; Kailin Xu
Journal:  Cancer Cell Int       Date:  2019-05-07       Impact factor: 5.722
  3 in total

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