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Transcriptome analysis reveals the differential inflammatory effects between propofol and sevoflurane during lung cancer resection: a randomized pilot study

BACKGROUND: Propofol 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...

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Autores principales: Wang, Sufang, Li, Mengjiao, Cai, Suna, Zhang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9841614/
https://www.ncbi.nlm.nih.gov/pubmed/36647133
http://dx.doi.org/10.1186/s12957-023-02891-4
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author Wang, Sufang
Li, Mengjiao
Cai, Suna
Zhang, Wei
author_facet Wang, Sufang
Li, Mengjiao
Cai, Suna
Zhang, Wei
author_sort Wang, Sufang
collection PubMed
description BACKGROUND: Propofol 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. METHODS: Patients 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. RESULTS: The 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. CONCLUSIONS: Through 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 REGISTRATION: Trial registry number was ChiCTR1900026213. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12957-023-02891-4.
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spelling pubmed-98416142023-01-17 Transcriptome analysis reveals the differential inflammatory effects between propofol and sevoflurane during lung cancer resection: a randomized pilot study Wang, Sufang Li, Mengjiao Cai, Suna Zhang, Wei World J Surg Oncol Research BACKGROUND: Propofol 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. METHODS: Patients 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. RESULTS: The 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. CONCLUSIONS: Through 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 REGISTRATION: Trial registry number was ChiCTR1900026213. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12957-023-02891-4. BioMed Central 2023-01-16 /pmc/articles/PMC9841614/ /pubmed/36647133 http://dx.doi.org/10.1186/s12957-023-02891-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wang, Sufang
Li, Mengjiao
Cai, Suna
Zhang, Wei
Transcriptome analysis reveals the differential inflammatory effects between propofol and sevoflurane during lung cancer resection: a randomized pilot study
title Transcriptome analysis reveals the differential inflammatory effects between propofol and sevoflurane during lung cancer resection: a randomized pilot study
title_full Transcriptome analysis reveals the differential inflammatory effects between propofol and sevoflurane during lung cancer resection: a randomized pilot study
title_fullStr Transcriptome analysis reveals the differential inflammatory effects between propofol and sevoflurane during lung cancer resection: a randomized pilot study
title_full_unstemmed Transcriptome analysis reveals the differential inflammatory effects between propofol and sevoflurane during lung cancer resection: a randomized pilot study
title_short Transcriptome analysis reveals the differential inflammatory effects between propofol and sevoflurane during lung cancer resection: a randomized pilot study
title_sort transcriptome analysis reveals the differential inflammatory effects between propofol and sevoflurane during lung cancer resection: a randomized pilot study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9841614/
https://www.ncbi.nlm.nih.gov/pubmed/36647133
http://dx.doi.org/10.1186/s12957-023-02891-4
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