Evidence map›Paper›PMID 36447430›Full record

ArticleThoracic cancer2023

RIG-I-mediated innate immune signaling in tumors reduces the therapeutic effect of oncolytic vesicular stomatitis virus.

Pengfei Zhang, Xinyu Han, Weiqi Tan, Dahua Chen, Qinmiao Sun

Open access · goldAbstract read
In one paragraph

Article in Thoracic cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 19% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Virus nanotechnology for intratumoural immunotherapy.Nature reviews bioengineering · 2024
    Article
  3. Review
  4. Article
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

5 authors at 2 institutions in 2 countries.

Pengfei ZhangSchool of Life Sciences, Anhui Agricultural University, Hefei, China.ORCID https://orcid.org/0000-0001-8745-8548
Xinyu HanState Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
Weiqi TanState Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
Dahua ChenState Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
Qinmiao SunState Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.ORCID https://orcid.org/0000-0001-8091-1653
Chinese Academy of Sciences · CNAnhui Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOncolytic viral therapy is a promising method for tumor treatment. Currently, several oncolytic viruses (OVs) have been used as tumor therapy at different phases of research and clinical trials. OVs not only directly lyse tumor cells due to viral replication but also initiate host antitumor immune responses. Previous studies have primarily focused on how OVs activate adaptive immune responses in immune cells. However, the role of innate immune responses in tumors induced by OVs remains unclear.

methodsTo determine the innate immune responses induced by vesicular stomatitis virus (VSV), the mutant VSV

resultsInfection with VSV

conclusionRIG-I-mediated innate immune signaling in tumor cells plays a negative role in regulating antitumor therapy with VSV

Indexed as

Oncolytic VirusesVesicular StomatitisAnimalsCell Line, TumorDEAD Box Protein 58HumansImmunity, InnateMiceMice, Inbred C57BLVesicular stomatitis Indiana virusVesiculovirusDEAD Box Protein 58cancer therapyinnate immuneoncolytic vesicular stomatitis virusRIG-I

Identifiers

PMID36447430
PMCPMC9870728
OpenAlexW4310463322

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.