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Showing 1–8 of 8 results
Advanced filters: Author: Daphne A Haas-Kogan Clear advanced filters

  • Temporalis muscle thickness is a promising marker of lean muscle mass but has had limited utility due to its unknown normal growth trajectory and lack of standardized measurement. Here, the authors develop an automated deep learning pipeline to accurately measure temporalis muscle thickness from routine brain magnetic resonance imaging.

    • Anna Zapaishchykova
    • Kevin X. Liu
    • Benjamin H. Kann
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-12

  • Pilocytic astrocytoma is a low-grade pediatric glioma, characterized by a single BRAF rearrangement. Here, Reitman and colleagues use single-cell RNA sequencing to reveal molecular hallmarks of the disease that might be targeted therapeutically.

    • Zachary J. Reitman
    • Brenton R. Paolella
    • Rameen Beroukhim
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-17

  • The delivery of single therapeutic microRNAs in brain cancers is challenging. Here, the authors engineer three neuronal microRNAs (miR-124, 128 and 137) into a cluster that, targeting oncogenic chromatin repressors, increases survival of GBM-bearing mice when combined with chemotherapy.

    • Vivek Bhaskaran
    • Michal O. Nowicki
    • Pierpaolo Peruzzi
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-13

  • Keith Ligon, Adam Resnick, Rameen Beroukhim and colleagues identify MYB-QKI fusions in angiocentric gliomas and show that these rearrangements promote tumorigenesis through activation of MYB by truncation, enhancer translocation driving aberrant MYB-QKI expression and hemizygous loss of QKI.

    • Pratiti Bandopadhayay
    • Lori A Ramkissoon
    • Adam C Resnick
    Research
    Nature Genetics
    Volume: 48, P: 273-282

  • Leptomeningeal metastatic disease (LMD) arises secondary to the metastatic dissemination of cancer cells into the leptomeninges and cerebrospinal fluid. Novel therapies against systemic disease have not yet translated into improved outcomes for patients with LMD, in whom median survival after diagnosis remains at 2–6 months. The authors of this Review, a multidisciplinary group of experts, describe the emerging evidence and areas of active investigation in LMD and provide directed recommendations for future research.

    • Ahmad Ozair
    • Hannah Wilding
    • Alireza Mansouri
    Reviews
    Nature Reviews Clinical Oncology
    Volume: 22, P: 134-154

  • The possible uses of artificial intelligence (AI) in radiation oncology are diverse and wide ranging. Herein, the authors discuss the potential applications of AI at each step of the radiation oncology workflow, which might improve the efficiency and overall quality of radiation therapy for patients with cancer. The authors also describe the associated challenges and provide their perspective on how AI platforms might change the roles of radiation oncology medical professionals.

    • Elizabeth Huynh
    • Ahmed Hosny
    • Raymond H. Mak
    Reviews
    Nature Reviews Clinical Oncology
    Volume: 17, P: 771-781