All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

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 &quot;myeloma subgroups&quot; 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&apos; 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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30205 - Hematology

Result continuities

  • Project

  • 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

  • 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