Literature DB >> 15604893

Prognostic factors in acute myeloid leukemia.

Irit Avivi1, Jacob M Rowe.   

Abstract

PURPOSE OF REVIEW: Cytogenetics offers the most important prognostic information at both presentation and relapse. However, this classification appears to be insufficient, especially for patients presenting with standard-risk cytogenetics, whose relapse risk is variable. Other prognostic factors, stratifying this heterogeneous group of patients into more clearly defined risk groups, are warranted. RECENT
FINDINGS: Several molecular markers have been described that predict for long-term outcome in this heterogeneous group of patients; however, there is as yet no consensus as to the prognostic significance of each. Time to morphologic and molecular remission may also be important; however, further studies are warranted to establish their prognostic role in acute myeloid leukemia.
SUMMARY: Much has been learnt over the past decade and a better understanding of disease biology, determined by gene expression profiling and proteomic analyses, may help to target therapy and improve the outcome.

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Year:  2005        PMID: 15604893     DOI: 10.1097/01.moh.0000148760.15412.df

Source DB:  PubMed          Journal:  Curr Opin Hematol        ISSN: 1065-6251            Impact factor:   3.284


  8 in total

Review 1.  Prognostic factors in pediatric acute myeloid leukemia.

Authors:  Mohamed Radhi; Soheil Meshinchi; Alan Gamis
Journal:  Curr Hematol Malig Rep       Date:  2010-10       Impact factor: 3.952

2.  Prognostic value of FLT3 mutations among different cytogenetic subgroups in acute myeloid leukemia.

Authors:  Fabio P S Santos; Dan Jones; Wei Qiao; Jorge E Cortes; Farhad Ravandi; Elihu E Estey; Dushyant Verma; Hagop Kantarjian; Gautam Borthakur
Journal:  Cancer       Date:  2010-11-29       Impact factor: 6.860

3.  Cytogenetic findings and clinical outcomes of adult acute myeloid leukaemia patients.

Authors:  F Iffet Sahin; E Kizilkilic; T Bulakbasi; Z Yilmaz; C Boga; O Ozalp; S Karakus; H Ozdogu
Journal:  Clin Exp Med       Date:  2007-10-03       Impact factor: 3.984

4.  Adult acute erythroleukemia: an analysis of 91 patients treated at a single institution.

Authors:  F P S Santos; S Faderl; G Garcia-Manero; C Koller; M Beran; S O'Brien; S Pierce; E J Freireich; X Huang; G Borthakur; C Bueso-Ramos; M de Lima; M Keating; J Cortes; H Kantarjian; F Ravandi
Journal:  Leukemia       Date:  2009-09-10       Impact factor: 11.528

5.  Epigenetic dysregulation of ID4 predicts disease progression and treatment outcome in myeloid malignancies.

Authors:  Jing-Dong Zhou; Ting-Juan Zhang; Xi-Xi Li; Ji-Chun Ma; Hong Guo; Xiang-Mei Wen; Wei Zhang; Lei Yang; Yang Yan; Jiang Lin; Jun Qian
Journal:  J Cell Mol Med       Date:  2017-04-27       Impact factor: 5.310

6.  Overexpression of lncRNA PANDAR predicts adverse prognosis in acute myeloid leukemia.

Authors:  Lan Yang; Jing-Dong Zhou; Ting-Juan Zhang; Ji-Chun Ma; Gao-Fei Xiao; Qin Chen; Zhao-Qun Deng; Jiang Lin; Jun Qian; Dong-Ming Yao
Journal:  Cancer Manag Res       Date:  2018-10-29       Impact factor: 3.989

7.  MicroRNA-335/ID4 dysregulation predicts clinical outcome and facilitates leukemogenesis by activating PI3K/Akt signaling pathway in acute myeloid leukemia.

Authors:  Jing-Dong Zhou; Xi-Xi Li; Ting-Juan Zhang; Zi-Jun Xu; Zhi-Hui Zhang; Yu Gu; Xiang-Mei Wen; Wei Zhang; Run-Bi Ji; Zhao-Qun Deng; Jiang Lin; Jun Qian
Journal:  Aging (Albany NY)       Date:  2019-05-30       Impact factor: 5.682

8.  High bone marrow ID2 expression predicts poor chemotherapy response and prognosis in acute myeloid leukemia.

Authors:  Jing-Dong Zhou; Ji-Chun Ma; Ting-Juan Zhang; Xi-Xi Li; Wei Zhang; De-Hong Wu; Xiang-Mei Wen; Zi-Jun Xu; Jiang Lin; Jun Qian
Journal:  Oncotarget       Date:  2017-09-01
  8 in total

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