Literature DB >> 26761438

Identifying high-risk adult AML patients: epigenetic and genetic risk factors and their implications for therapy.

Caroline Bret1,2,3, Elena Viziteu2, Alboukadel Kassambara1,2, Jerome Moreaux1,2,3.   

Abstract

Acute myeloid leukemia (AML) is a heterogeneous disease at molecular level, in response to therapy and prognosis. The molecular landscape of AML is evolving with new technologies revealing complex panorama of genetic abnormalities where genomic instability and aberrations of epigenetic regulators play a key role in pathogenesis. The characterization of AML diversity has led to development of new personalized therapeutic strategies to improve outcome of the patients.

Entities:  

Keywords:  Acute myeloid Leukemia; Epigenetics; Genetic; Risk factors; targeted treatment

Mesh:

Substances:

Year:  2016        PMID: 26761438     DOI: 10.1586/17474086.2016.1141673

Source DB:  PubMed          Journal:  Expert Rev Hematol        ISSN: 1747-4094            Impact factor:   2.929


  5 in total

Review 1.  Acute myeloid leukemia: advancing clinical trials and promising therapeutics.

Authors:  Naval Daver; Jorge Cortes; Hagop Kantarjian; Farhad Ravandi
Journal:  Expert Rev Hematol       Date:  2016-03-17       Impact factor: 2.929

Review 2.  ENL: structure, function, and roles in hematopoiesis and acute myeloid leukemia.

Authors:  Jianbiao Zhou; Yvonne Ng; Wee-Joo Chng
Journal:  Cell Mol Life Sci       Date:  2018-07-31       Impact factor: 9.261

3.  Immune-related gene signature predicts clinical outcomes and immunotherapy response in acute myeloid leukemia.

Authors:  Qiang Xu; Dedong Cao; Bin Fang; Siqi Yan; Yu Hu; Tao Guo
Journal:  Cancer Med       Date:  2022-03-30       Impact factor: 4.711

4.  Bioinformatics Analysis of GFAP as a Potential Key Regulator in Different Immune Phenotypes of Prostate Cancer.

Authors:  Wencheng Yao; Xiang Li; Zhankui Jia; Chaohui Gu; Zhibo Jin; Jun Wang; Bo Yuan; Jinjian Yang
Journal:  Biomed Res Int       Date:  2021-06-17       Impact factor: 3.411

5.  Novel Gene Signature Reveals Prognostic Model in Acute Myeloid Leukemia.

Authors:  Ying Qu; Shuying Zhang; Yanzhang Qu; Heng Guo; Suling Wang; Xuemei Wang; Tianjiao Huang; Hong Zhou
Journal:  Front Genet       Date:  2020-10-28       Impact factor: 4.599

  5 in total

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