Integrating cytogenetics and gene expression profiling in the molecular analysis of Multiple Myeloma

被引:0
|
作者
John D. Shaughnessy
Bart Barlogie
机构
[1] University of Arkansas for Medical Sciences,Donna D. and Donald M. Lambert Laboratory of Myeloma Genetics, Myeloma Institute for Research and Therapy
来源
International Journal of Hematology | 2002年 / 76卷
关键词
Multiple Myeloma; Cytogenetic Abnormality; Deletion Status; 14q32 Translocation; XK469;
D O I
暂无
中图分类号
学科分类号
摘要
Multiple Myeloma (MM), is a currently incurable malignancy of a terminally differentiated antibody secreting plasma cell (PC) that can be controlled with high dose therapy and stem cell support. Conventional cytogenetic analysis has revealed a genomic instability that sets MM apart from the other blood cell cancers. In spite of this “genomic chaos” recurrent structural rearrangements and ploidy changes have aided the identification of important molecular mechanisms of disease etiology and that have also proved to be useful clinical landmarks. Yet, abnormal cytogenetics, present in only 30% of cases, combined with other clinical parameters, only account for 20% of the variability in clinical outcome, which can range from 2 months to >10 years. Thus, the genomic chaos may mask a unifying chromosome abnormality, e.g. Philadelphia chromosome in CML, or may indicate that MM is a broad descriptor of constellation of many distinct clinical and molecular entities. The advent of microarray profiling of global gene expression patterns is providing evidence that both of these possibilities may be true. We will discuss how the integration of conventional and molecular cytogenetics with gene expression profiling has confirmed past observations and, yet fundamentally changed the way we view the disease.
引用
收藏
页码:59 / 64
页数:5
相关论文
共 50 条
  • [31] Proteomic Profiling of Multiple Myeloma: Correlation of Protein and Gene Expression Data
    Edmondson, Ricky D.
    Thyparambil, Sheeno P.
    MacLeod, Veronica
    Barlogie, Bart
    Shaughnessy, John D., Jr.
    BLOOD, 2008, 112 (11) : 601 - 602
  • [32] Gene Expression Profiling to Predict Prognostic Biomarkers for Relapse in Multiple Myeloma
    Elahi, Sana
    Fazal, Sahar
    ADVANCEMENTS IN LIFE SCIENCES, 2024, 11 (02): : 329 - 337
  • [33] Cytogenetics of multiple myeloma
    Zubasheva, E. I.
    Obukhova, T. N.
    GEMATOLOGIYA I TRANSFUZIOLOGIYA, 2006, 51 (02): : 42 - 47
  • [34] Cytogenetics of Multiple Myeloma
    Trcic, Ruzica Lasan
    Skelin, Ika Kardum
    Sustercic, Dunja
    Planinc-Peraica, Ana
    Ajdukovic, Radmila
    Haris, Visnja
    Kusec, Rajko
    Begovic, Davor
    COLLEGIUM ANTROPOLOGICUM, 2010, 34 (01) : 41 - 44
  • [35] Integrated molecular profiling of SOD2 expression in multiple myeloma
    Hurt, Elaine M.
    Thomas, Suneetha B.
    Peng, Benjamin
    Farrar, William L.
    BLOOD, 2007, 109 (09) : 3953 - 3962
  • [36] Prognostic model for multiple myeloma progression integrating gene expression and clinical features
    Sun, Chen
    Li, Hongyang
    Mills, Ryan E.
    Guan, Yuanfang
    GIGASCIENCE, 2019, 8 (12):
  • [37] Gene expression profiling analysis identifies novel potential cancer-testis antigens in multiple myeloma
    Condomines, M.
    Hose, D.
    Reme, T.
    De Vos, J.
    Pantesco, V.
    Requirand, G.
    Schved, J. F.
    Rossi, J. F.
    Goldschmidt, H.
    Klein, B.
    HAEMATOLOGICA-THE HEMATOLOGY JOURNAL, 2007, 92 (06): : 97 - 98
  • [38] Gene Expression Profiling of Bone Marrow Endothelial Cells in Patients with Multiple Myeloma
    Ria, Roberto
    Todoerti, Katia
    Berardi, Simona
    Coluccia, Addolorata Maria Luce
    De Luisi, Annunziata
    Mattioli, Michela
    Ronchetti, Domenica
    Morabito, Fortunato
    Guarini, Attilio
    Petrucci, Maria Teresa
    Dammacco, Franco
    Ribatti, Domenico
    Neri, Antonino
    Vacca, Angelo
    CLINICAL CANCER RESEARCH, 2009, 15 (17) : 5369 - 5378
  • [39] Gene Expression Profiling of Structural and Functional High-Risk Multiple Myeloma
    Binder, Moritz
    Rajkumar, S. Vincent
    Lacy, Martha Q.
    Haug, Jessica L.
    Dispenzieri, Angela
    Henderson, Kimberly J.
    Kimlinger, Teresa K.
    Stewart, A. Keith
    Bergsagel, P. Leif
    Kumar, Shaji K.
    BLOOD, 2019, 134
  • [40] IMiD-induced gene expression profiling predicts multiple myeloma prognosis
    Sebastian, Sinto
    LANCET HAEMATOLOGY, 2017, 4 (09): : E406 - E407