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    Home > Biochemistry News > Biotechnology News > Nature Genetics: To treat childhood leukemia, scientists map mutation roadmap

    Nature Genetics: To treat childhood leukemia, scientists map mutation roadmap

    • Last Update: 2022-09-07
    • Source: Internet
    • Author: User
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    Acute lymphoblastic leukemia (ALL) is the most common type of childhood cancer


    Co-corresponding author Dr.


    Create a roadmap to understand ALL

    At St.


    If researchers understand the impact of genetic differences on cancer outcomes, in the future, doctors could sequence patients' cancer samples before treatment begins, and then personalize patients based on their genetics and likelihood of responding to different anticancer therapies chemical treatment


    The scale of the study is unprecedented because it collected samples from 2,574 pediatric ALL patients, the largest cohort study of its type published to date


    After whole-genome, whole-exome or transcriptome sequencing of cancer samples, the researchers compared the sequences to discover patterns of mutations


    "This study demonstrates the power of data," said co-corresponding author Jinghui Zhang, PhD, chair of the St.


    "The new driver includes a protein modification, which is really exciting because this group of proteins has never been expected to be involved in leukemia pathogenesis in the past," she said


    A series of interesting results

    Led by co-first authors Sam Brady, PhD, and Kathryn Roberts, PhD, the St.


    Overall, the team identified 376 significantly mutated genes, 70 of which were never associated with ALL


    The researchers also identified mutational differences in ALL subtypes that could impact clinical care


    ALL development begins with a "big bang" of chromosomes

    This work revealed the sequence of mutational events in many ALL cases, with potential therapeutic implications


    The researchers traced the sequence of events leading to the occurrence of hyperdiploid ALL by computational modeling of mutation sequences and chromosomally obtained data


    Original text retrieval

    Brady, SW, Roberts, KG, Gu, Z.



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