Integrative analysis of copy number and gene expression data suggests novel pathogenetic mechanisms in primary myelofibrosis

被引:10
|
作者
Salati, Simona [1 ]
Zini, Roberta [1 ]
Nuzzo, Simona [2 ]
Guglielmelli, Paola [3 ]
Pennucci, Valentina [1 ]
Prudente, Zelia [1 ]
Ruberti, Samantha [1 ]
Rontauroli, Sebastiano [1 ]
Norfo, Ruggiero [1 ]
Bianchi, Elisa [1 ]
Bogani, Costanza [3 ]
Rotunno, Giada [3 ]
Fanelli, Tiziana [3 ]
Mannarelli, Carmela [3 ]
Rosti, Vittorio [4 ]
Salmoiraghi, Silvia [5 ]
Pietra, Daniela [6 ,7 ]
Ferrari, Sergio [2 ]
Barosi, Giovanni [4 ]
Rambaldi, Alessandro [5 ]
Cazzola, Mario [6 ,7 ]
Bicciato, Silvio [2 ]
Tagliafico, Enrico [2 ]
Vannucchi, Alessandro M. [3 ]
Manfredini, Rossella [1 ]
机构
[1] Univ Modena & Reggio Emilia, Dept Life Sci, Ctr Regenerat Med, Via Gottardi 100, I-41125 Modena, Italy
[2] Univ Modena & Reggio Emilia, Ctr Genome Res, Via Campi 287, I-41125 Modena, Italy
[3] Univ Careggi, Univ Florence, Dept Expt & Clin Med, Lab Congiunto MMPC,Azienda Osped, Florence, Italy
[4] IRCCS, Policlin S Matteo Fdn, Ctr Study Myelofibrosis, Pavia, Italy
[5] Az Osp Papa Giovanni XXIII, Hematol, Bergamo, Italy
[6] IRCCS, Dept Hematol Oncol, Policlin San Matteo Fdn, Pavia, Italy
[7] Univ Pavia, Via Palestro 3, I-27100 Pavia, Italy
关键词
primary myelofibrosis; HMGXB4; PAOX; megakaryocyte; copy number; MYELOPROLIFERATIVE NEOPLASMS; MUTATIONS; LEUKEMIA; CELLS; APOPTOSIS; ABNORMALITIES; ABERRATIONS; PATHWAYS; REVEALS; CATENIN;
D O I
10.1002/ijc.29920
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Primary myelofibrosis (PMF) is a Myeloproliferative Neoplasm (MPN) characterized by megakaryocyte hyperplasia, progressive bone marrow fibrosis, extramedullary hematopoiesis and transformation to Acute Myeloid Leukemia (AML). A number of phenotypic driver (JAK2, CALR, MPL) and additional subclonal mutations have been described in PMF, pointing to a complex genomic landscape. To discover novel genomic lesions that can contribute to disease phenotype and/or development, gene expression and copy number signals were integrated and several genomic abnormalities leading to a concordant alteration in gene expression levels were identified. In particular, copy number gain in the polyamine oxidase (PAOX) gene locus was accompanied by a coordinated transcriptional up-regulation in PMF patients. PAOX inhibition resulted in rapid cell death of PMF progenitor cells, while sparing normal cells, suggesting that PAOX inhibition could represent a therapeutic strategy to selectively target PMF cells without affecting normal hematopoietic cells' survival. Moreover, copy number loss in the chromatin modifier HMGXB4 gene correlates with a concomitant transcriptional down-regulation in PMF patients. Interestingly, silencing of HMGXB4 induces megakaryocyte differentiation, while inhibiting erythroid development, in human hematopoietic stem/progenitor cells. These results highlight a previously un-reported, yet potentially interesting role of HMGXB4 in the hematopoietic system and suggest that genomic and transcriptional imbalances of HMGXB4 could contribute to the aberrant expansion of the megakaryocytic lineage that characterizes PMF patients.
引用
收藏
页码:1657 / 1669
页数:13
相关论文
共 50 条
  • [1] Integrative Analysis of Copy Number and Gene Expression Data Suggests Novel Pathogenetic Mechanisms in Primary Myelofibrosis
    Salati, Simona
    Zini, Roberta
    Nuzzo, Simona
    Guglielmelli, Paola
    Pennucci, Valentina
    Prudente, Zelia
    Ruberti, Samantha
    Rontauroli, Sebastiano
    Norfo, Ruggiero
    Bianchi, Elisa
    Bogani, Costanza
    Rotunno, Giada
    Fanelli, Tiziana
    Mannarelli, Carmela
    Rosti, Vittorio
    Salmoiraghi, Silvia
    Pietra, Daniela
    Ferrari, Sergio
    Barosi, Giovanni
    Rambaldi, Alessandro
    Cazzola, Mario
    Bicciato, Silvio
    Tagliafico, Enrico
    Vannucchi, Alessandro M.
    Manfredini, Rossella
    BLOOD, 2015, 126 (23)
  • [2] Identification of osteosarcoma driver genes by integrative analysis of copy number and gene expression data
    Kuijjer, Marieke L.
    Rydbeck, Halfdan
    Kresse, Stine H.
    Buddingh, Emilie P.
    Roelofs, Helene
    Buerger, Horst
    Myklebost, Ola
    Hogendoorn, Pancras C. W.
    Meza-Zepeda, Leonardo A.
    Cleton-Jansen, Anne-Marie
    CANCER RESEARCH, 2012, 72
  • [3] Identification of osteosarcoma driver genes by integrative analysis of copy number and gene expression data
    Kuijjer, Marieke L.
    Rydbeck, Halfdan
    Kresse, Stine H.
    Buddingh, Emilie P.
    Lid, Ana B.
    Roelofs, Helene
    Buerger, Horst
    Myklebost, Ola
    Hogendoorn, Pancras C. W.
    Meza-Zepeda, Leonardo A.
    Cleton-Jansen, Anne-Marie
    GENES CHROMOSOMES & CANCER, 2012, 51 (07): : 696 - 706
  • [4] Integrative analysis of gene expression data and rare copy number variants in alopecia areata
    Petukhova, L.
    Patel, A. V.
    Severin, R.
    Bian, L.
    Verbitsky, M.
    Sanna-Cherchi, S.
    Cerise, J.
    Jabbari, A.
    Christiano, A. M.
    JOURNAL OF INVESTIGATIVE DERMATOLOGY, 2017, 137 (05) : S90 - S90
  • [5] Cancer gene prioritization by integrative analysis of mRNA expression and DNA copy number data: a comparative review
    Lahti, Leo
    Schaefer, Martin
    Klein, Hans-Ulrich
    Bicciato, Silvio
    Dugas, Martin
    BRIEFINGS IN BIOINFORMATICS, 2013, 14 (01) : 27 - 35
  • [6] Integrative analysis of gene expression and copy number alterations using canonical correlation analysis
    Soneson, Charlotte
    Lilljebjorn, Henrik
    Fioretos, Thoas
    Fontes, Magnus
    BMC BIOINFORMATICS, 2010, 11
  • [7] Integrative analysis of gene expression and copy number alterations using canonical correlation analysis
    Charlotte Soneson
    Henrik Lilljebjörn
    Thoas Fioretos
    Magnus Fontes
    BMC Bioinformatics, 11
  • [8] Advanced analysis and visualization of gene copy number and expression data
    Autio, Reija
    Saarela, Matti
    Jarvinen, Anna-Kaarina
    Hautaniemi, Sampsa
    Astola, Jaakko
    BMC BIOINFORMATICS, 2009, 10
  • [9] Advanced analysis and visualization of gene copy number and expression data
    Reija Autio
    Matti Saarela
    Anna-Kaarina Järvinen
    Sampsa Hautaniemi
    Jaakko Astola
    BMC Bioinformatics, 10
  • [10] Integrative analysis of copy number and transcriptional expression profiles in esophageal cancer to identify a novel driver gene for therapy
    Gaochao Dong
    Qixing Mao
    Decai Yu
    Yi Zhang
    Mantang Qiu
    Gaoyue Dong
    Qiang Chen
    Wenjie Xia
    Jie Wang
    Lin Xu
    Feng Jiang
    Scientific Reports, 7