ArticleAnnals of translational medicine2021
SMOX expression predicts the prognosis of non-small cell lung cancer.
Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 9 citations in OpenAlex.
- Metabolic-immunoregulatory subtypes reveal prognostic and therapeutic insights in multiple primary lung cancer.Frontiers in immunology · 2026Article
- Assessing the Role of Polyamine Metabolites in Blood and the DNA Methylation ofInternational journal of medical sciences · 2025Article
- Elevated expression of TNFRSF4 impacts immune cell infiltration and gene mutation in hepatocellular carcinoma.Cancer biomarkers : section A of Disease markers · 2023Article
- Construction of m6A-based prognosis signature and prediction for immune and anti-angiogenic response.Frontiers in molecular biosciences · 2022Article
- Development of a polyamine gene expression score for predicting prognosis and treatment response in clear cell renal cell carcinoma.Frontiers in immunology · 2022Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe development of non-small cell lung cancer (NSCLC) is very rapid, and the effect of its treatment is often closely related to the diagnosis time of the disease. Therefore, simple and convenient tumor biomarkers are helpful for the timely diagnosis and prevention of NSCLC.
methodsThrough univariate and multivariate Cox regression analyses, SMOX was determined as an independent prognostic factor of GSE42127, GSE41271, GSE68465, and TCGA datasets. Furthermore, western blot, reverse transcription-polymerase chain reaction (RT-PCR), and immunohistochemical analysis were performed to confirm the predictive efficiency of SMOX expression in NSCLC.
resultsPatients were divided into high and low expression groups according to the median value of SMOX expression, and Kaplan-Meier curves of multiple datasets indicated that patients with low SMOX expression had a better survival rate. According to the analysis of immune infiltration, the immune microenvironment, and immune checkpoints, SMOX expression of the high and low groups showed differences in immunity in NSCLC. By comparing cancer and adjacent tissues using western blot analysis, RT-PCR and immunohistochemical analysis, we found that SMOX was highly expressed in tumor tissues and had low expression in adjacent tissues. Simultaneously, the Kaplan-Meier curve suggested that among the 155 NSCLC patients, those with low SMOX expression had better survival.
conclusionsSMOX can be used as an effective predictive target for NSCLC.
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