Trial reportWorld journal of surgical oncology2023
Transcriptome analysis reveals the differential inflammatory effects between propofol and sevoflurane during lung cancer resection: a randomized pilot study.
Trial report in World journal of surgical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
- Perioperative inflammation, anesthesia modulation and cellular signaling in lung cancer: an integrated transcriptomic and single-cell analysis.Translational lung cancer research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPropofol and sevoflurane are two commonly used perioperative anesthetics. Some studies have found that these anesthetic drugs affect tumorigenesis. Previous studies have mostly focused on in vitro experiments, and the specimens collected were mainly peripheral body fluids, lacking direct evidence of the impact of anesthetic drugs on human tissues. This study aimed to elucidate the effects of propofol and sevoflurane on lung cancer using next-generation sequencing through an in vivo experiment.
methodsPatients were randomly assigned to a group receiving either propofol or sevoflurane during surgery. Then, the patients' tumor and paired normal samples were collected and sequenced by next-generation sequencing. Differentially expressed genes (DEG) were analyzed by two statistical models, followed by cluster analysis, PCA, Gene Ontology, and KEGG pathway analysis. Candidate genes were confirmed by qRT-PCR.
resultsThe demographic data of the two study groups were not statistically significant. Through single-factor model analysis, 810 DEG in the propofol group and 508 DEG in the sevoflurane group were obtained. To better reflect the differential effects between propofol and sevoflurane while reducing the false-positive DEG, we used multifactor model analysis, which resulted in 124 DEG. In PCA and cluster analysis, four groups (propofol cancer group, propofol normal group, sevoflurane cancer group, sevoflurane normal group) were separated adequately, indicating the accuracy of the analysis. We chose seven significant pathways (cellular response to interleukin-1, chemokine-mediated signaling pathway, chemokine signaling pathway, cytokine-cytokine receptor interaction, inflammatory response, immune response, and TNF signaling pathway) for downstream analysis. Based on the pathway analysis, three candidate genes (CXCR1, CXCL8, and TNFAIP3) were chosen, and their qRT-PCR results were consistent with the sequencing results.
conclusionsThrough RNA-seq analysis, the effects of propofol and sevoflurane during lung cancer resection were different, mainly in inflammatory-related pathways, which might be possibly by targeting CXCL8.
trial registrationTrial registry number was ChiCTR1900026213 .
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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 Socratic graph.