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The role of new technologies in myeloproliferative neoplasms: Application of next-generation sequencing in myelofibrosis

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00098892%3A_____%2F21%3AN0000222" target="_blank" >RIV/00098892:_____/21:N0000222 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/61989592:15110/21:73608216

  • Výsledek na webu

    <a href="http://onlinelibrary.wiley.com/doi/epdf/10.1111/ijlh.13504" target="_blank" >http://onlinelibrary.wiley.com/doi/epdf/10.1111/ijlh.13504</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/ijlh.13504" target="_blank" >10.1111/ijlh.13504</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    The role of new technologies in myeloproliferative neoplasms: Application of next-generation sequencing in myelofibrosis

  • Popis výsledku v původním jazyce

    Introduction: Driver mutations in Philadelphia chromosome-negative myeloproliferative neoplasms are well known. In the past, whole-genome sequencing identified nondriver mutations in other genes, potentially contributing to evolution of malignant clones. Methods: Next-generation sequencing was used to assess the presence of any mutations in 14 candidate genes at the point of diagnosis and the resultant impact on the clinical course of the disease. Results: The study analysed 63 patients with myelofibrosis (MF). Nondriver mutations were detected in 44% of them. The most frequently affected genes were ASXL1 (27%), TET2 (11%) and SF3B1 (6%). The frequency of such mutations was highest in primary MF (59%) and lowest in the prefibrotic phase of primary MF (21%). Patients with prognostically unfavourable sequence variants in genes had significantly worse overall survival (53 vs 71 months; HR = 2.77; 95% CI 1.17-6.56; P =.017). Conclusion: In our study, multivariate analysis proved DIPSS to be the only significant factor to predict patient survival. DIPSS contains all of the important clinical and laboratory factors except genetic changes. Stratification of patients according to DIPSS is still beneficial although there are newer and improved scoring systems like GIPSS or MIPSS70. Assessing subclonal mutations in candidate genes during diagnosis may aid in the identification of high-risk MF patients and is therefore relevant for making a prediction for overall survival more accurate.

  • Název v anglickém jazyce

    The role of new technologies in myeloproliferative neoplasms: Application of next-generation sequencing in myelofibrosis

  • Popis výsledku anglicky

    Introduction: Driver mutations in Philadelphia chromosome-negative myeloproliferative neoplasms are well known. In the past, whole-genome sequencing identified nondriver mutations in other genes, potentially contributing to evolution of malignant clones. Methods: Next-generation sequencing was used to assess the presence of any mutations in 14 candidate genes at the point of diagnosis and the resultant impact on the clinical course of the disease. Results: The study analysed 63 patients with myelofibrosis (MF). Nondriver mutations were detected in 44% of them. The most frequently affected genes were ASXL1 (27%), TET2 (11%) and SF3B1 (6%). The frequency of such mutations was highest in primary MF (59%) and lowest in the prefibrotic phase of primary MF (21%). Patients with prognostically unfavourable sequence variants in genes had significantly worse overall survival (53 vs 71 months; HR = 2.77; 95% CI 1.17-6.56; P =.017). Conclusion: In our study, multivariate analysis proved DIPSS to be the only significant factor to predict patient survival. DIPSS contains all of the important clinical and laboratory factors except genetic changes. Stratification of patients according to DIPSS is still beneficial although there are newer and improved scoring systems like GIPSS or MIPSS70. Assessing subclonal mutations in candidate genes during diagnosis may aid in the identification of high-risk MF patients and is therefore relevant for making a prediction for overall survival more accurate.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    30205 - Hematology

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2021

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    International Journal of Laboratory Hematology

  • ISSN

    1751-5521

  • e-ISSN

    1751-553X

  • Svazek periodika

    43

  • Číslo periodika v rámci svazku

    5

  • Stát vydavatele periodika

    US - Spojené státy americké

  • Počet stran výsledku

    8

  • Strana od-do

    1070-1077

  • Kód UT WoS článku

    000630033100001

  • EID výsledku v databázi Scopus

    2-s2.0-85102616772