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Molecular Landscape of Pediatric Low-Grade Gliomas: Insights From RNA-NGS and Bioinformatic Analysis.

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F27283933%3A_____%2F25%3AN0000018" target="_blank" >RIV/27283933:_____/25:N0000018 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11130/25:10503930 RIV/00064203:_____/25:10503930

  • Result on the web

    <a href="https://onlinelibrary.wiley.com/doi/epdf/10.1002/gcc.70085" target="_blank" >https://onlinelibrary.wiley.com/doi/epdf/10.1002/gcc.70085</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1002/gcc.70085" target="_blank" >10.1002/gcc.70085</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Molecular Landscape of Pediatric Low-Grade Gliomas: Insights From RNA-NGS and Bioinformatic Analysis.

  • Original language description

    Pediatric low-grade gliomas (pLGG) are the most common group of childhood brain tumors. Genetic alterations in the RAS–RAF–mitogen-activated protein kinase (MAPK) pathway are the molecular drivers in the vast majority of pLGG. A large pro-portion of pediatric pLGG are characterized by the presence of fusion genes. An institutional molecular analysis together withan RNA-NGS study was performed to reveal LGG-associated molecular alterations. In our cohort of pLGG patients, molecularalterations were identified in 318 out of 342 cases (92.9%) through a combination of RT-PCR, Sanger sequencing, and NGS meth-odologies. Fusion events were independently called using three fusion callers: Archer Analysis 6.0 and/or 7.0, Arriba version 2.4,and STAR-Fusion 24. Among these, STAR-Fusion had the lowest sensitivity, detecting rearrangements in only 67% of fusion-positive cases. In contrast, Arriba detected rearrangements in 97.77% of cases, while Archer detected rearrangements in 88.6%of cases. These findings highlight differences in detection efficiency among fusion callers, emphasizing the importance of toolselection in molecular diagnostics. The detection of fusion genes is very important for correct diagnosis, prognosis, and adequatetargeted treatment.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    30101 - Human genetics

Result continuities

  • Project

    <a href="/en/project/LX22NPO5102" target="_blank" >LX22NPO5102: National institute for cancer research</a><br>

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Genes, Chromosomes and Cancer

  • ISSN

    1045-2257

  • e-ISSN

    1098-2264

  • Volume of the periodical

    64

  • Issue of the periodical within the volume

    10

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    12

  • Pages from-to

  • UT code for WoS article

    001591880100001

  • EID of the result in the Scopus database

    2-s2.0-105018398794