Literature DB >> 27686867

Copy-number analysis identified new prognostic marker in acute myeloid leukemia.

O Nibourel1, S Guihard2, C Roumier1, N Pottier3, C Terre4, A Paquet5, P Peyrouze2, S Geffroy1, S Quentin6, A Alberdi6, R B Abdelali6, A Renneville1, C Demay1, K Celli-Lebras7, P Barbry5, B Quesnel2, S Castaigne4, H Dombret7, J Soulier6, C Preudhomme1, M H Cheok2.   

Abstract

Recent advances in genomic technologies have revolutionized acute myeloid leukemia (AML) understanding by identifying potential novel actionable genomic alterations. Consequently, current risk stratification at diagnosis not only relies on cytogenetics, but also on the inclusion of several of these abnormalities. Despite this progress, AML remains a heterogeneous and complex malignancy with variable response to current therapy. Although copy-number alterations (CNAs) are accepted prognostic markers in cancers, large-scale genomic studies aiming at identifying specific prognostic CNA-based markers in AML are still lacking. Using 367 AML, we identified four recurrent CNA on chromosomes 11 and 21 that predicted outcome even after adjusting for standard prognostic risk factors and potentially delineated two new subclasses of AML with poor prognosis. ERG amplification, the most frequent CNA, was related to cytarabine resistance, a cornerstone drug of AML therapy. These findings were further validated in The Cancer Genome Atlas data. Our results demonstrate that specific CNA are of independent prognostic relevance, and provide new molecular information into the genomic basis of AML and cytarabine response. Finally, these CNA identified two potential novel risk groups of AML, which when confirmed prospectively, may improve the clinical risk stratification and potentially the AML outcome.

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Year:  2016        PMID: 27686867     DOI: 10.1038/leu.2016.265

Source DB:  PubMed          Journal:  Leukemia        ISSN: 0887-6924            Impact factor:   11.528


  17 in total

1.  Mouse acute leukemia develops independent of self-renewal and differentiation potentials in hematopoietic stem and progenitor cells.

Authors:  Fang Dong; Haitao Bai; Xiaofang Wang; Shanshan Zhang; Zhao Wang; Miner Xie; Sen Zhang; Jinhong Wang; Sha Hao; Tao Cheng; Hideo Ema
Journal:  Blood Adv       Date:  2019-02-12

2.  Challenging conventional karyotyping by next-generation karyotyping in 281 intensively treated patients with AML.

Authors:  Sylvain Mareschal; Anna Palau; Johan Lindberg; Philippe Ruminy; Christer Nilsson; Sofia Bengtzén; Marie Engvall; Anna Eriksson; Anne Neddermeyer; Vinciane Marchand; Monika Jansson; My Björklund; Fabrice Jardin; Mattias Rantalainen; Andreas Lennartsson; Lucia Cavelier; Henrik Grönberg; Sören Lehmann
Journal:  Blood Adv       Date:  2021-02-23

3.  Identification of a prognostic signature based on copy number variations (CNVs) and CNV-modulated gene expression in acute myeloid leukemia.

Authors:  Changchun Niu; Di Wu; Alexander J Li; Kevin H Qin; Daniel A Hu; Eric J Wang; Andrew Blake Tucker; Fang He; Linjuan Huang; Hao Wang; Qing Liu; Na Ni; Deyao Shi; Xia Zhao; Yafang Wan; Tian Li; Tongchuan He; Pu Liao
Journal:  Am J Transl Res       Date:  2021-12-15       Impact factor: 4.060

4.  Genetic Characterization and Prognostic Relevance of Acquired Uniparental Disomies in Cytogenetically Normal Acute Myeloid Leukemia.

Authors:  Christopher J Walker; Jessica Kohlschmidt; Ann-Kathrin Eisfeld; Krzysztof Mrózek; Sandya Liyanarachchi; Chi Song; Deedra Nicolet; James S Blachly; Marius Bill; Dimitrios Papaioannou; Christopher C Oakes; Brian Giacopelli; Luke K Genutis; Sophia E Maharry; Shelley Orwick; Kellie J Archer; Bayard L Powell; Jonathan E Kolitz; Geoffrey L Uy; Eunice S Wang; Andrew J Carroll; Richard M Stone; John C Byrd; Albert de la Chapelle; Clara D Bloomfield
Journal:  Clin Cancer Res       Date:  2019-08-02       Impact factor: 12.531

Review 5.  Gain of chromosome 21 in hematological malignancies: lessons from studying leukemia in children with Down syndrome.

Authors:  Anouchka P Laurent; Rishi S Kotecha; Sébastien Malinge
Journal:  Leukemia       Date:  2020-05-20       Impact factor: 11.528

6.  Tumor copy number alteration burden is a pan-cancer prognostic factor associated with recurrence and death.

Authors:  Haley Hieronymus; Rajmohan Murali; Amy Tin; Kamlesh Yadav; Wassim Abida; Henrik Moller; Daniel Berney; Howard Scher; Brett Carver; Peter Scardino; Nikolaus Schultz; Barry Taylor; Andrew Vickers; Jack Cuzick; Charles L Sawyers
Journal:  Elife       Date:  2018-09-04       Impact factor: 8.140

7.  Combined gene essentiality scoring improves the prediction of cancer dependency maps.

Authors:  Wenyu Wang; Alina Malyutina; Alberto Pessia; Jani Saarela; Caroline A Heckman; Jing Tang
Journal:  EBioMedicine       Date:  2019-11-12       Impact factor: 8.143

8.  High expression of ETS2 predicts poor prognosis in acute myeloid leukemia and may guide treatment decisions.

Authors:  Lin Fu; Huaping Fu; Qingyun Wu; Yifan Pang; Keman Xu; Lei Zhou; Jianlin Qiao; Xiaoyan Ke; Kailin Xu; Jinlong Shi
Journal:  J Transl Med       Date:  2017-07-19       Impact factor: 5.531

9.  Integrative Analysis of Hypoxia-Associated Signature in Pan-Cancer.

Authors:  Qian Zhang; Rui Huang; Hanqing Hu; Lei Yu; Qingchao Tang; Yangbao Tao; Zheng Liu; Jiaying Li; Guiyu Wang
Journal:  iScience       Date:  2020-08-14

10.  Clinical Significance of ABCB1 in Acute Myeloid Leukemia: A Comprehensive Study.

Authors:  Thomas Boyer; Fanny Gonzales; Adeline Barthélémy; Alice Marceau-Renaut; Pauline Peyrouze; Soizic Guihard; Pascale Lepelley; Adriana Plesa; Olivier Nibourel; Carole Delattre; Marc Wetterwald; Nicolas Pottier; Isabelle Plantier; Stéphane de Botton; Hervé Dombret; Céline Berthon; Claude Preudhomme; Christophe Roumier; Meyling Cheok
Journal:  Cancers (Basel)       Date:  2019-09-06       Impact factor: 6.639

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