SynthesisCells2026
Transcriptomic Meta-Analysis and Functional Validation Identify Long Non-Coding RNAs as Modulators of Zika Virus-Mediated Oncolysis in Glioblastoma Multiforme Cell Lines.
Synthesis in Cells, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
9 authors.
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Abstract
Glioblastoma multiforme (GBM) is the most aggressive primary brain malignancy with limited treatment options and poor clinical outcomes. There is growing interest in using Zika virus as a treatment for GBM due to its selectivity in finding and killing rapidly proliferating neural cells. Several studies reproducibly show that Zika can effectively kill GBM cells. We sought to uncover the molecular mechanisms driving this cytotoxic effect by performing a meta-analysis of transcriptomic studies in which Zika virus was used to kill GBM cells. We integrated four datasets from studies on GBM and added neuroblastoma (NBM) studies as an outgroup comparator. Our analysis identified a shared molecular signature of the Zika-infected GBM cell. Interestingly, GBM cells killed by the Zika virus showed dysregulation of pathways commonly implicated in proliferation and metastasis, including TNF, NF-κB, and p53 signaling. Using a hypothesis-free design, we found several long non-coding RNAs (lncRNAs) that were consistently dysregulated in Zika-infected GBMs, many of which have previously unrecognized roles in cancer cell death. Among this group, we validated four lncRNAs for a role in Zika-mediated oncolysis. We functionally tested
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