Literature DB >> 21239770

New prognostic markers in acute myeloid leukemia: perspective from the clinic.

James M Foran1.   

Abstract

Acute myeloid leukemia (AML) is a disease with marked heterogeneity in both response to therapy and survival. Cytogenetics, age, and performance status have long determined prognosis and therapy. The advent of molecular diagnostics has heralded an explosion in new prognostic factors, including gene mutations in KIT, FLT3 (Fms-like tyrosine kinase 3), NPM1 (nucleophosmin 1), and CEBPA (CCAAT enhancer-binding protein-α). Microarray technology can now identify unique gene expression signatures associated with prognosis. Similarly microRNA expression, single nucleotide polymorphism arrays, and DNA methylation signatures have recently described important new prognostic subgroups of AML, and are contributing to our understanding of AML disease biology. Combined with proteomic profiling, these technologies have helped identify new targets and signaling pathways, and may soon help to identify individual patients likely to benefit from specific therapies, including allogeneic hematopoietic cell transplantation. In summary, new clinical and molecular prognostic markers have begun to significantly improve our understanding of AML biology. We are now close to a time when we will be able to use these prognostic factors and technologies to identify new targets for therapy and to determine who may benefit from that therapy, and ultimately change how we treat individual patients with AML.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 21239770     DOI: 10.1182/asheducation-2010.1.47

Source DB:  PubMed          Journal:  Hematology Am Soc Hematol Educ Program        ISSN: 1520-4383


  37 in total

1.  Photocleavable peptide-oligonucleotide conjugates for protein kinase assays by MALDI-TOF MS.

Authors:  Guangchang Zhou; Faraz Khan; Qing Dai; Juliesta E Sylvester; Stephen J Kron
Journal:  Mol Biosyst       Date:  2012-07-06

2.  TET2 gene mutation is unfavorable prognostic factor in cytogenetically normal acute myeloid leukemia patients with NPM1+ and FLT3-ITD - mutations.

Authors:  Xiaopeng Tian; Yang Xu; Jia Yin; Hong Tian; Suning Chen; Depei Wu; Aining Sun
Journal:  Int J Hematol       Date:  2014-05-24       Impact factor: 2.490

Review 3.  Evaluating biomarkers to model cancer risk post cosmic ray exposure.

Authors:  Deepa M Sridharan; Aroumougame Asaithamby; Steve R Blattnig; Sylvain V Costes; Paul W Doetsch; William S Dynan; Philip Hahnfeldt; Lynn Hlatky; Yared Kidane; Amy Kronenberg; Mamta D Naidu; Leif E Peterson; Ianik Plante; Artem L Ponomarev; Janapriya Saha; Antoine M Snijders; Kalayarasan Srinivasan; Jonathan Tang; Erica Werner; Janice M Pluth
Journal:  Life Sci Space Res (Amst)       Date:  2016-05-21

4.  Low Dose Cytosine Arabinoside and Azacitidine Combination in Elderly Patients with Acute Myeloid Leukemia and Refractory Anemia with Excess Blasts (MDS-RAEB2).

Authors:  Figen Atalay; Elif Birtaş Ateşoğlu
Journal:  Indian J Hematol Blood Transfus       Date:  2015-02-01       Impact factor: 0.900

5.  INPP4B overexpression is associated with poor clinical outcome and therapy resistance in acute myeloid leukemia.

Authors:  I Dzneladze; R He; J F Woolley; M H Son; M H Sharobim; S A Greenberg; M Gabra; C Langlois; A Rashid; A Hakem; N Ibrahimova; A Arruda; B Löwenberg; P J M Valk; M D Minden; L Salmena
Journal:  Leukemia       Date:  2015-03-04       Impact factor: 11.528

6.  Prediction model for mortality after intracranial hemorrhage in patients with leukemia.

Authors:  Farshid Dayyani; Sarah Schellhorn Mougalian; Kiran Naqvi; Jianqin Shan; Farhad Ravandi; Jorge Cortes; Jeffrey Weinberg; Elias Jabbour; Stefan Faderl; William Wierda; Deborah Thomas; Susan O'Brien; Sherry Pierce; Hagop Kantarjian; Guillermo Garcia-Manero
Journal:  Am J Hematol       Date:  2011-04-20       Impact factor: 10.047

7.  A panoramic view of acute myeloid leukemia.

Authors:  Sai-Juan Chen; Yang Shen; Zhu Chen
Journal:  Nat Genet       Date:  2013-06       Impact factor: 38.330

8.  Influence of molecular subgroups on outcome of acute myeloid leukemia with normal karyotype in 141 patients undergoing salvage allogeneic stem cell transplantation in primary induction failure or beyond first relapse.

Authors:  Tim Pfeiffer; Michael Schleuning; Jiri Mayer; Karl-Heinz Haude; Johanna Tischer; Stefanie Buchholz; Donald Bunjes; Gesine Bug; Ernst Holler; Ralf G Meyer; Hildegard Greinix; Christof Scheid; Maximilian Christopeit; Susanne Schnittger; Jan Braess; Günter Schlimok; Karsten Spiekermann; Arnold Ganser; Hans-Jochem Kolb; Christoph Schmid
Journal:  Haematologica       Date:  2012-09-14       Impact factor: 9.941

9.  Sex disparity in childhood and young adult acute myeloid leukemia (AML) survival: Evidence from US population data.

Authors:  Md Jobayer Hossain; Li Xie
Journal:  Cancer Epidemiol       Date:  2015-11-09       Impact factor: 2.984

10.  The prevalence and clinical profiles of FLT3-ITD, FLT3-TKD, NPM1, C-KIT, DNMT3A, and CEBPA mutations in a cohort of patients with de novo acute myeloid leukemia from southwest China.

Authors:  Haimei Gou; Juan Zhou; Yuanxin Ye; Xuejiao Hu; Mengqiao Shang; Jingya Zhang; Zhenzhen Zhao; Wu Peng; Yanhong Zhou; Yi Zhou; Xingbo Song; Xiaojun Lu; Binwu Ying
Journal:  Tumour Biol       Date:  2015-12-16
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.