Centrosome associated genes pattern for risk sub-stratification in multiple myeloma

Journal of Translational Medicine

Research

Pavel Nemec¹  Ludek Pour²  Fedor Kryukov³  Roman Hajek³  Elena Kryukova³  Zdena Stefanikova⁴  Jiri Minarik⁵  Samuel Okubote⁶  Lenka Radova⁷ 

[1] Department of Biology, Faculty of Medicine, Masaryk University, Brno, Czech Republic;Department of Pathological Physiology, Faculty of Medicine, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic;Department of Clinical Hematology, University Hospital Brno, Jihlavská 20, 625 00, Brno, Czech Republic;Department of Haematooncology, Faculty of Medicine, University of Ostrava, Dvořákova 7, 702 00, Ostrava, Czech Republic;Department of Haematooncology, University Hospital Ostrava, 17.listopadu 1790, 708 52, Ostrava-Poruba, Czech Republic;Department of Hematology and Blood Transfusion, University Hospital Bratislava, Antolská 11, 851 07, Bratislava, Slovak Republic;Department of Internal Medicine, University Hospital Olomouc, I.P. Pavlova 185/6, 779 00, Olomouc, Czech Republic;Department of Pathological Physiology, Faculty of Medicine, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic;The Central European Institute of Technology, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic;

关键词: Multiple myeloma;    Gene expression profiling;    Risk stratification;   

DOI  :  10.1186/s12967-016-0906-9

 received in 2015-12-07, accepted in 2016-05-13,  发布年份 2016

来源: Springer

【 摘 要 】

BackgroundThe genome of multiple myeloma (MM) cells is extremely unstable, characterized by a complex combination of structure and numerical abnormalities. It seems that there are several “myeloma subgroups” which differ in expression profile, clinical manifestations, prognoses and treatment response. In our previous work, the list of 35 candidate genes with a known role in carcinogenesis and associated with centrosome structure/function was used as a display of molecular heterogeneity with an impact in myeloma pathogenesis. The current study was devoted to establish a risk stratification model based on the aforementioned candidate genes.MethodsA total of 151 patients were included in this study. CD138+ cells were separated by magnetic-activated cell sorting (MACS). Gene expression profiling (GEP) and Interphase FISH with cytoplasmic immunoglobulin light chain staining (cIg FISH) were performed on plasma cells (PCs). All statistical analyses were performed using freeware R and its additional packages. Training and validation cohort includes 73 and 78 patients, respectively.ResultsWe have finally established a model that includes 12 selected genes (centrosome associated gene pattern, CAGP) which appears to be an independent prognostic factor for MM stratification. We have shown that the new CAGP model can sub-stratify prognosis in patients without TP53 loss as well as in IMWG high risk patients’ group.ConclusionsWe assume that newly established risk stratification model complements the current prognostic panel used in multiple myeloma and refines the classification of patients in relation to the disease risks. This approach can be used independently as well as in combination with other factors.

【 授权许可】

CC BY   
© The Author(s) 2016