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Evolution of Advanced Chronic Lymphoid Leukemia Unveiled by Single-Cell Transcriptomics: A Case Report

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11140%2F20%3A10419768" target="_blank" >RIV/00216208:11140/20:10419768 - isvavai.cz</a>

  • Alternative codes found

    RIV/49777513:23520/20:43959593 RIV/00669806:_____/20:10419768

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=bHPwseqc5R" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=bHPwseqc5R</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3389/fonc.2020.584607" target="_blank" >10.3389/fonc.2020.584607</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evolution of Advanced Chronic Lymphoid Leukemia Unveiled by Single-Cell Transcriptomics: A Case Report

  • Original language description

    Genetic and transcriptional heterogeneity of Chronic lymphocytic leukaemia (CLL) limits prevention of disease progression. Longitudinal single-cell transcriptomics represents the state-of-the-art method to profile the disease heterogeneity at diagnosis and to inform about disease evolution. Here, we apply single-cell RNA-seq to a CLL case, sampled at diagnosis and relapse, that was treated with FCR (Fludarabine, Cyclophosphamide, Rituximab) and underwent a dramatic decrease in CD19 expression during disease progression. Computational analyses revealed a major switch in clones&apos; dominance during treatment. The clone that expanded at relapse showed 17p and 3p chromosomal deletions, and up-regulation of pathways related to motility, cytokine signaling and antigen presentation. Single-cell RNA-seq uniquely revealed that this clone was already present at low frequency at diagnosis, and it displays feature of plasma cell differentiation, consistent with a more aggressive phenotype. This study shows the benefit of single-cell profiling of CLL heterogeneity at diagnosis, to identify clones that might otherwise not be recognized and to determine the best treatment options.

  • 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

    30204 - Oncology

Result continuities

  • Project

    <a href="/en/project/LO1503" target="_blank" >LO1503: BIOMEDIC</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Frontiers in Oncology

  • ISSN

    2234-943X

  • e-ISSN

  • Volume of the periodical

    10

  • Issue of the periodical within the volume

    30 October 2020

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    9

  • Pages from-to

    584607

  • UT code for WoS article

    000589084000001

  • EID of the result in the Scopus database

    2-s2.0-85096052038