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Serial Multi-omics Uncovers Anti-Glioblastoma Responses Not Evident by Routine Clinical Analyses Multi-omic analyses of longitudinally collected human glioblastomas reveal evolution of the tumor microenvironment in response to a clinical trial immunothera

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NIAID Data Ecosystem2026-05-10 收录
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https://www.ncbi.nlm.nih.gov/sra/SRP651876
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The data in this repository is generated from the work of the GBM TeamLab as part of Break Through Cancer (BTC) (https://breakthroughcancer.org/). The TeamLab's goal is to evaluate the feasibility, safety, and value of performing serial brain biopsies to obtain biological readouts during the assessment of novel glibolastoma (GBM) therapeutics. The first investigational agent studied by the TeamLab is a novel oncolytic viral immunotherapy (agent: CAN-3110, also known as rQNestin34.5v.2) which was delivered via repeated intratumoral delivery at up to 6 timepoints over a 4-month period in recurrent IDH-wild type GBM patients. Biopsy tissues, blood, and CSF were collected and subjected to multi-omic profiling at each surgical timepoint. This work is being conducted as one of the trial arms... (for more see dbGaP study page.)
创建时间:
2026-02-24
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