Evidence map›Paper›PMID 37706017›Full record

ArticleHealth science reports2023

Impact of propofol versus sevoflurane anesthesia on molecular subtypes and immune checkpoints of glioma during surgery.

Shenghua Cen, Guocai Yang, Hongyan Bao, Ze Yu, Lei Liang

Abstract read
In one paragraph

Article in Health science reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Short-term and long-term effects of sevoflurane inhalationWorld journal of gastrointestinal oncology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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.

Shenghua CenDepartment of Anesthesiology, Zhoushan Hospital Wenzhou Medical University Zhoushan Zhejiang China.
Guocai YangDepartment of Thoracic Surgery, Zhoushan Hospital Wenzhou Medical University Zhoushan Zhejiang China.
Hongyan BaoDepartment of Anesthesiology, Zhoushan Hospital Wenzhou Medical University Zhoushan Zhejiang China.
Ze YuThe Laboratory of Cytobiology & Molecular Biology, Zhoushan Hospital Wenzhou Medical University Zhoushan Zhejiang China.ORCID 0000-0002-5849-3413
Lei LiangDepartment of Anesthesiology, Zhoushan Hospital Wenzhou Medical University Zhoushan Zhejiang China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sevoflurane and propofol are two popular anesthetics used during glioblastoma (GBM) surgery. This investigation compared the molecular subtypes and immune checkpoints of cancer cells following GBM surgery under sevoflurane and propofol anesthesia. Method: The expression profile data and clinical information of glioma samples of different grades were downloaded from The Cancer Genome Atlas database. Weighted gene coexpression network analysis was used to identify hub modules and key genes related to glioma grades (G2 and G3). The GEO database (GSE179004) was used to retrieve glioma surgical specimens with different anesthetic gene expression profiles. The differential expression of immune checkpoint genes under various anesthetic settings was examined using the R-ggplot2. Results: Compared to sevoflurane, propofol significantly downregulated SERPINI1 and CAMK2A expression. These are also important factors in glioma grading. Simultaneously, SERPINI1 and CAMK2A were also significantly related to the prognosis of GBM and lower-grade glioma patients and acted as potential tumor suppressors. In addition, propofol increases the expression of the immune checkpoint molecule, PD-L1. Conclusions: Our study revealed that sevoflurane can more effectively prevent the development of glioma after surgery than propofol, and SERPINI1 can be used as a new independent prognostic factor for glioma.

Indexed as

gliomaimmune checkpointpropofolSERPINI1sevofluraneWGCNA

Identifiers

PMID37706017
PMCPMC10495545

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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.