Dataset Information

SMOX expression predicts the prognosis of non-small cell lung cancer.

ABSTRACT:

Background

The 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.

Methods

Through 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.

Results

Patients 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.

Conclusions

SMOX can be used as an effective predictive target for NSCLC.

SUBMITTER: Huang Z

PROVIDER: S-EPMC8339854 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Lung cancer is the leading cause of cancer-associated mortality worldwide. In China, in particular, lung cancer mortality has markedly increased and is likely to continue to rise. RNA-binding proteins are pivotal to the development and progression of a variety of cancer types, including non-small cell lung cancer (NSCLC). RNA-binding motif protein 47 (RBM47) has been found to act as a tumor suppressor in breast cancer and NSCLC. However, to the best of our knowledge, RBM47 expression in NSCLC tissues has yet to be investigated. Analysis via the online database, Gene Expression Omnibus, revealed that RBM47 was upregulated in NSCLC and associated with pathological type, suggesting that RBM47 may play different roles in lung adenocarcinoma and lung squamous cell carcinoma. In the present study, the expression of RBM47 was examined by immunohistochemistry in 175 pairs of tumor and adjacent non-cancerous tissues resected from patients with NSCLC. The results indicated that the expression of RBM47 was significantly increased in NSCLC samples compared with that in the matched non-cancerous samples. Furthermore, RBM47 expression was higher in Xuanwei compared with that in non-Xuanwei NSCLC, suggesting that RBM47 is a more sensitive biomarker in Xuanwei NSCLC, and that it may serve as a candidate therapeutic target. In addition, RBM47 expression was associated with the pathological type, however not with the age, sex, lymph node metastasis, pT stage or pathological Tumor-Node-Metastasis stage of the patients. The increased expression level of RBM47 may indicate a worse overall survival rate for patients with NSCLC. In addition, multivariate survival analysis showed that the Xuanwei area is associated with poor prognosis for patients with NSCLC. In conclusion, the present study revealed that the upregulation of RBM47 accelerated the malignant progression of NSCLC, indicating that RBM47 may be a potential biomarker for NSCLC progression and a therapeutic target for NSCLC.