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Improving risk-stratification of patients with chronic lymphocytic leukemia using multivariate patient similarity networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00098892%3A_____%2F19%3AN0000026" target="_blank" >RIV/00098892:_____/19:N0000026 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989592:15110/19:73594555 RIV/61989100:27240/19:10244305

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0145212619300311" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0145212619300311</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.leukres.2019.02.005" target="_blank" >10.1016/j.leukres.2019.02.005</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Improving risk-stratification of patients with chronic lymphocytic leukemia using multivariate patient similarity networks

  • Original language description

    BACKGROUND: Better risk-stratification of patients with chronic lymphocytic leukemia (CLL) and identification of subsets of ultra-high-risk (HR)-CLL patients are crucial in the contemporary era of an expanded therapeutic armamentarium for CLL. METHODS: A multivariate patient similarity network and clustering was applied to assess the prognostic values of routine genetic, laboratory, and clinical factors and to identify subsets of ultra-HR-CLL patients. The study cohort consisted of 116 HR-CLL patients (F/M 36/80, median age 63 yrs) carrying del(11q), del(17p)/TP53 mutations and/or complex karyotype (CK) at the time of diagnosis. RESULTS: Three major subsets based on the presence of key prognostic variables as genetic aberrations, bulky lymphadenopathy, splenomegaly, and gender: profile (P)-I (n = 34, men/women with CK + no del(17p)/TP53 mutations), P-II (n = 47, predominantly men with del(11q) + no CK + no del(17p)/TP53 mutations), and P-III (n = 35, men/women with del(17p)/TP53 mutations, with/without del(11q) and CK) were revealed. Subanalysis of major subsets identified three ultra-HR-CLL groups: men with TP53 disruption with/without CK, women with TP53 disruption with CK and men/women with CK + del(11q) with poor short-term outcomes (25% deaths/12 mo). Besides confirming the combinations of known risk-factors, the used patient similarity network added further refinement of subsets of HR-CLL patients who may profit from different targeted drugs. CONCLUSIONS: This study showed for the first time in hemato-oncology the usefulness of the multivariate patient similarity networks for stratification of HR-CLL patients. This approach shows the potential for clinical implementation of precision medicine, which is especially important in view of an armamentarium of novel targeted drugs.

  • 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

    <a href="/en/project/NV16-32339A" target="_blank" >NV16-32339A: Impact of functional polymorphisms influencing inflammation and oxidative stress on outcome and selection of treatment in chronic lymphocytic leukemia</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    LEUKEMIA RESEARCH

  • ISSN

    0145-2126

  • e-ISSN

    1873-5835

  • Volume of the periodical

    79

  • Issue of the periodical within the volume

    Apr 2019

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    9

  • Pages from-to

    60-68

  • UT code for WoS article

    000460898400011

  • EID of the result in the Scopus database

    2-s2.0-85062388394