Ling Gao, Wei Wang, Haishan Ma, Minghui Yin, Xuejiao Yang, Ruihui Han, Shuta Ohara, Dohun Kim, Guangyan Wang
{"title":"Bioinformatics analysis reveals <i>SOD1</i> is a prognostic factor in lung adenocarcinoma.","authors":"Ling Gao, Wei Wang, Haishan Ma, Minghui Yin, Xuejiao Yang, Ruihui Han, Shuta Ohara, Dohun Kim, Guangyan Wang","doi":"10.21037/tcr-24-1400","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Lung cancer is a major cause of cancer-related deaths worldwide. Unfortunately, non-small cell lung cancer (NSCLC) often lacks clear clinical symptoms and molecular markers for early diagnosis, which can hinder the initiation of timely treatments. In this study, we conducted an extensive bioinformatics analysis of copper-zinc superoxide dismutase (SOD1), a molecule linked to lung adenocarcinoma (LUAD) to enhance early detection and treatment approaches for this condition.</p><p><strong>Methods: </strong>A bioinformatics analysis was conducted using a dataset from The Cancer Genome Atlas (TCGA) database. Several analytical methods, such as a differential expression analysis, a Kaplan-Meier survival analysis, a clinicopathological analysis, an enrichment analysis, protein-protein interaction (PPI) network construction using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database, and an immunoreactivity analysis of <i>SOD1</i> expression in LUAD using TIMER were employed. We further validated the expression of <i>SOD1</i> in LUAD through <i>in vitro</i> experiments using quantitative polymerase chain reaction (qPCR) and Western blot.</p><p><strong>Results: </strong>Our findings indicate that LUAD tissues exhibited significantly higher expression levels of <i>SOD1</i> than healthy tissues. The univariate Cox analysis showed that the elevated level was linked to unfavorable overall survival (OS) rates. Further, the Cox regression analysis of multiple variables suggested that elevated <i>SOD1</i> expression levels acted as an autonomous prognosticator for unfavorable OS. We also conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses, and a gene set enrichment analysis (GSEA) and observed differential pathway enrichment among patients with high <i>SOD1</i> expression. In addition, a correlation between <i>SOD1</i> and immune cell infiltration was found. The <i>in vitro</i> experiments confirmed that <i>SOD1</i> expression was upregulated in LUAD.</p><p><strong>Conclusions: </strong><i>SOD1</i> could serve as a reliable prognostic indicator in individuals diagnosed with LUAD. Our findings may prove valuable in the development of therapeutic and prognostic markers for LUAD. The potential clinical utility of <i>SOD1</i> in LUAD requires further investigation.</p>","PeriodicalId":23216,"journal":{"name":"Translational cancer research","volume":"13 10","pages":"5522-5534"},"PeriodicalIF":1.5000,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11543046/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Translational cancer research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.21037/tcr-24-1400","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/14 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Lung cancer is a major cause of cancer-related deaths worldwide. Unfortunately, non-small cell lung cancer (NSCLC) often lacks clear clinical symptoms and molecular markers for early diagnosis, which can hinder the initiation of timely treatments. In this study, we conducted an extensive bioinformatics analysis of copper-zinc superoxide dismutase (SOD1), a molecule linked to lung adenocarcinoma (LUAD) to enhance early detection and treatment approaches for this condition.
Methods: A bioinformatics analysis was conducted using a dataset from The Cancer Genome Atlas (TCGA) database. Several analytical methods, such as a differential expression analysis, a Kaplan-Meier survival analysis, a clinicopathological analysis, an enrichment analysis, protein-protein interaction (PPI) network construction using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database, and an immunoreactivity analysis of SOD1 expression in LUAD using TIMER were employed. We further validated the expression of SOD1 in LUAD through in vitro experiments using quantitative polymerase chain reaction (qPCR) and Western blot.
Results: Our findings indicate that LUAD tissues exhibited significantly higher expression levels of SOD1 than healthy tissues. The univariate Cox analysis showed that the elevated level was linked to unfavorable overall survival (OS) rates. Further, the Cox regression analysis of multiple variables suggested that elevated SOD1 expression levels acted as an autonomous prognosticator for unfavorable OS. We also conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses, and a gene set enrichment analysis (GSEA) and observed differential pathway enrichment among patients with high SOD1 expression. In addition, a correlation between SOD1 and immune cell infiltration was found. The in vitro experiments confirmed that SOD1 expression was upregulated in LUAD.
Conclusions: SOD1 could serve as a reliable prognostic indicator in individuals diagnosed with LUAD. Our findings may prove valuable in the development of therapeutic and prognostic markers for LUAD. The potential clinical utility of SOD1 in LUAD requires further investigation.
期刊介绍:
Translational Cancer Research (Transl Cancer Res TCR; Print ISSN: 2218-676X; Online ISSN 2219-6803; http://tcr.amegroups.com/) is an Open Access, peer-reviewed journal, indexed in Science Citation Index Expanded (SCIE). TCR publishes laboratory studies of novel therapeutic interventions as well as clinical trials which evaluate new treatment paradigms for cancer; results of novel research investigations which bridge the laboratory and clinical settings including risk assessment, cellular and molecular characterization, prevention, detection, diagnosis and treatment of human cancers with the overall goal of improving the clinical care of cancer patients. The focus of TCR is original, peer-reviewed, science-based research that successfully advances clinical medicine toward the goal of improving patients'' quality of life. The editors and an international advisory group of scientists and clinician-scientists as well as other experts will hold TCR articles to the high-quality standards. We accept Original Articles as well as Review Articles, Editorials and Brief Articles.