Evidence map›Paper›PMID 38903860›Full record

ArticleF1000Research2023

Integrated re-analysis of transcriptomic and proteomic datasets reveals potential mechanisms for Zika viral-based oncolytic therapy in neuroblastoma.

Matt Sherwood, Yilu Zhou, Yi Sui, Yihua Wang, Paul Skipp, Carolini Kaid, Juliet Gray, Keith Okamoto, Rob M Ewing

Abstract read
In one paragraph

Article in F1000Research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Matt SherwoodSchool of Biological Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, England, SO17 1BJ, UK.ORCID https://orcid.org/0000-0002-1912-9758
Yilu ZhouSchool of Biological Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, England, SO17 1BJ, UK.ORCID https://orcid.org/0000-0002-4090-099X
Yi SuiSchool of Biological Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, England, SO17 1BJ, UK.ORCID https://orcid.org/0009-0007-6214-1844
Yihua WangSchool of Biological Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, England, SO17 1BJ, UK.
Paul SkippSchool of Biological Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, England, SO17 1BJ, UK.
Carolini KaidHuman Genome and Stem-Cell Center (HUG-CELL), Biosciences Institute, Universidade de Sao Paulo, São Paulo, State of São Paulo, Brazil.
Juliet GrayCentre for Cancer Immunology, Faculty of Medicine, University of Southampton, Southampton, England, UK.
Keith OkamotoHuman Genome and Stem-Cell Center (HUG-CELL), Biosciences Institute, Universidade de Sao Paulo, São Paulo, State of São Paulo, Brazil.
Rob M EwingSchool of Biological Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, England, SO17 1BJ, UK.ORCID https://orcid.org/0000-0001-6510-4001

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Paediatric neuroblastoma and brain tumours account for a third of all childhood cancer-related mortality. High-risk neuroblastoma is highly aggressive and survival is poor despite intensive multi-modal therapies with significant toxicity. Novel therapies are desperately needed. The Zika virus (ZIKV) can access the nervous system and there is growing interest in employing ZIKV as a potential therapy against paediatric nervous system tumours, including neuroblastoma. Methods: Here, we perform extensive data mining, integration and re-analysis of ZIKV infection datasets to highlight molecular mechanisms that may govern the oncolytic response in neuroblastoma cells. We collate infection data of multiple neuroblastoma cell lines by different ZIKV strains from a body of published literature to inform the susceptibility of neuroblastoma to the ZIKV oncolytic response. Integrating published transcriptomics, interaction proteomics, dependency factor and compound datasets we propose the involvement of multiple host systems during ZIKV infection. Results: Through data mining of published literature, we observed most paediatric neuroblastoma cell lines to be highly susceptible to ZIKV infection and propose the PRVABC59 ZIKV strain to be the most promising candidate for neuroblastoma oncolytic virotherapy. ZIKV induces TNF signalling, lipid metabolism, the Unfolded Protein Response (UPR), and downregulates cell cycle and DNA replication processes. ZIKV infection is dependent on sterol regulatory element binding protein (SREBP)-regulated lipid metabolism and three protein complexes; V-ATPase, ER Membrane Protein Complex (EMC) and mammalian translocon. We propose ZIKV non-structural protein 4B (NS4B) as a likely mediator of ZIKVs interaction with IRE1-mediated UPR, lipid metabolism and mammalian translocon. Conclusions: Our work provides a significant understanding of ZIKV infection in neuroblastoma cells, which will facilitate the progression of ZIKV-based oncolytic virotherapy through pre-clinical research and clinical trials.

Indexed as

NeuroblastomaOncolytic VirotherapyProteomicsZika VirusCell Line, TumorHumansTranscriptomeZika Virus InfectionNeuroblastomaoncolytic virotherapyproteomicstranscriptomicsZika virus

Identifiers

PMID38903860
PMCPMC11187533

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.