Centrosome associated genes pattern for risk sub-stratification in multiple myeloma
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15110%2F16%3A73582723" target="_blank" >RIV/61989592:15110/16:73582723 - isvavai.cz</a>
Alternative codes found
RIV/61988987:17110/16:A1701LZG RIV/65269705:_____/16:00066013 RIV/00843989:_____/16:E0105475 RIV/00216224:14110/16:00088888
Result on the web
<a href="https://translational-medicine.biomedcentral.com/articles/10.1186/s12967-016-0906-9" target="_blank" >https://translational-medicine.biomedcentral.com/articles/10.1186/s12967-016-0906-9</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1186/s12967-016-0906-9." target="_blank" >10.1186/s12967-016-0906-9.</a>
Alternative languages
Result language
angličtina
Original language name
Centrosome associated genes pattern for risk sub-stratification in multiple myeloma
Original language description
BACKGROUND: The 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. METHODS: A 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. RESULTS: We 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. CONCLUSIONS: We 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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30205 - Hematology
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Translational Medicine
ISSN
1479-5876
e-ISSN
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Volume of the periodical
14
Issue of the periodical within the volume
May
Country of publishing house
GB - UNITED KINGDOM
Number of pages
9
Pages from-to
1-9
UT code for WoS article
000377182800001
EID of the result in the Scopus database
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