Literature DB >> 28271337

MicroRNAs as prognostic biomarker and relapse indicator in leukemia.

S Hajizamani1, M Shahjahani2, S Shahrabi3, N Saki4.   

Abstract

Despite significant progress in the treatment of different types of leukemia, relapse remains a challenging clinical problem that is observed in a number of patients who are often resistant to chemotherapy and exhibit multi-drug resistance. Identification of new functional biomarkers, including microRNAs, is essential to determine prognosis and relapse at the time of diagnosis. The aim of this study was to detect the specific microRNAs involved in predicting relapse or progression in acute and chronic leukemias, as well as their relationship with overall survival (OS) and relapse-free survival (RFS). The relevant literature was identified through a PubMed and Scholar search (2008-2016) of English-language papers using the terms Leukemia, microRNAs, survival and relapse. Different leukemia types and subtypes show specific microRNA expression profile and different changes, which can be useful in the differentiation between leukemias and evaluation of relapse at the time of diagnosis. Altered microRNA expression profiles can turn these molecules into oncogenes or tumor suppressors, which affect the expression of relapse-related genes. Therefore, monitoring of specific microRNA expression profiles from diagnosis and during follow-up of patients can contribute to the assessment of outcome and determination of relapse and prognosis of leukemic patients.

Entities:  

Keywords:  Leukemia; MicroRNA; Overall survival; Relapse; Relapse-free survival

Mesh:

Substances:

Year:  2017        PMID: 28271337     DOI: 10.1007/s12094-017-1638-x

Source DB:  PubMed          Journal:  Clin Transl Oncol        ISSN: 1699-048X            Impact factor:   3.405


  63 in total

1.  Prognostic significance of, and gene and microRNA expression signatures associated with, CEBPA mutations in cytogenetically normal acute myeloid leukemia with high-risk molecular features: a Cancer and Leukemia Group B Study.

Authors:  Guido Marcucci; Kati Maharry; Michael D Radmacher; Krzysztof Mrózek; Tamara Vukosavljevic; Peter Paschka; Susan P Whitman; Christian Langer; Claudia D Baldus; Chang-Gong Liu; Amy S Ruppert; Bayard L Powell; Andrew J Carroll; Michael A Caligiuri; Jonathan E Kolitz; Richard A Larson; Clara D Bloomfield
Journal:  J Clin Oncol       Date:  2008-09-22       Impact factor: 44.544

2.  Biologic pathways associated with relapse in childhood acute lymphoblastic leukemia: a Children's Oncology Group study.

Authors:  Deepa Bhojwani; Huining Kang; Naomi P Moskowitz; Dong-Joon Min; Hokyung Lee; Jeffrey W Potter; George Davidson; Cheryl L Willman; Michael J Borowitz; Ilana Belitskaya-Levy; Stephen P Hunger; Elizabeth A Raetz; William L Carroll
Journal:  Blood       Date:  2006-07-15       Impact factor: 22.113

3.  Expression of certain leukemia/lymphoma related microRNAs and its correlation with prognosis in childhood acute lymphoblastic leukemia.

Authors:  Karolina Nemes; Monika Csóka; Noémi Nagy; Ágnes Márk; Zsófia Váradi; Titanilla Dankó; Gábor Kovács; László Kopper; Anna Sebestyén
Journal:  Pathol Oncol Res       Date:  2014-11-12       Impact factor: 3.201

4.  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

5.  Low expression of circulating microRNA-328 is associated with poor prognosis in patients with acute myeloid leukemia.

Authors:  Li Liu; Ren'an Chen; Yangping Zhang; Wen Fan; Fang Xiao; Xueqian Yan
Journal:  Diagn Pathol       Date:  2015-07-17       Impact factor: 2.644

6.  Prognostic value of miR-96 in patients with acute myeloid leukemia.

Authors:  Jiangning Zhao; Quanyi Lu; Junfeng Zhu; Jianguo Fu; Yun-xian Chen
Journal:  Diagn Pathol       Date:  2014-03-29       Impact factor: 2.644

7.  High miR-24 expression is associated with risk of relapse and poor survival in acute leukemia.

Authors:  Jorge Organista-Nava; Yazmín Gómez-Gómez; Berenice Illades-Aguiar; Luz Del Carmen Alarcón-Romero; Mónica Virginia Saavedra-Herrera; Ana Bertha Rivera-Ramírez; Víctor Hugo Garzón-Barrientos; Marco Antonio Leyva-Vázquez
Journal:  Oncol Rep       Date:  2015-02-06       Impact factor: 3.906

Review 8.  Molecular regulation of bone marrow metastasis in prostate and breast cancer.

Authors:  Fakher Rahim; Saeideh Hajizamani; Esmaeil Mortaz; Ahmad Ahmadzadeh; Mohammad Shahjahani; Saeid Shahrabi; Najmaldin Saki
Journal:  Bone Marrow Res       Date:  2014-07-23

9.  MicroRNA-106b~25 cluster is upregulated in relapsed MLL-rearranged pediatric acute myeloid leukemia.

Authors:  Lonneke J Verboon; Askar Obulkasim; Jasmijn D E de Rooij; Jenny E Katsman-Kuipers; Edwin Sonneveld; André Baruchel; Jan Trka; Dirk Reinhardt; Rob Pieters; Jacqueline Cloos; Gertjan J L Kaspers; Jan-Henning Klusmann; Christian Michel Zwaan; Maarten Fornerod; Marry M van den Heuvel-Eibrink
Journal:  Oncotarget       Date:  2016-07-26

10.  Hsa-mir-125b-2 is highly expressed in childhood ETV6/RUNX1 (TEL/AML1) leukemias and confers survival advantage to growth inhibitory signals independent of p53.

Authors:  N Gefen; V Binder; M Zaliova; Y Linka; M Morrow; A Novosel; L Edry; L Hertzberg; N Shomron; O Williams; J Trka; A Borkhardt; S Izraeli
Journal:  Leukemia       Date:  2009-11-05       Impact factor: 11.528

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  3 in total

1.  microRNA-605 inhibits the oncogenicity of non-small-cell lung cancer by directly targeting Forkhead Box P1.

Authors:  Wei Zhou; Ruichao Li
Journal:  Onco Targets Ther       Date:  2019-05-17       Impact factor: 4.147

2.  MicroRNA-1246 by Targeting AXIN2 and GSK-3β Overcomes Drug Resistance and Induces Apoptosis in Chemo-resistant Leukemia Cells.

Authors:  Bei Xie; Linjing Li; Zhewen Zhang; Lei Zhao; Juan Cheng; Cunmin Zhou; Jie Cheng; Jing Yan; Jing Chen; Juan Yi; Bei Wang; Suya Jin; Hulai Wei
Journal:  J Cancer       Date:  2021-05-13       Impact factor: 4.207

3.  MiR-362-5p as a novel prognostic predictor of cytogenetically normal acute myeloid leukemia.

Authors:  Qiu-Ling Ma; Jing-Han Wang; Min Yang; Huan-Ping Wang; Jie Jin
Journal:  J Transl Med       Date:  2018-03-14       Impact factor: 5.531

  3 in total

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