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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/61988987:17110/16:A1701LZG RIV/65269705:_____/16:00066013 RIV/00843989:_____/16:E0105475 RIV/00216224:14110/16:00088888

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30205 - Hematology

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Translational Medicine

ISSN

1479-5876

e-ISSN

—

Svazek periodika

14

Číslo periodika v rámci svazku

May

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

9

Strana od-do

1-9

Kód UT WoS článku

000377182800001

EID výsledku v databázi Scopus

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