Overexpression of SP6 Correlates with Osteosarcoma Metastasis and Poor Prognosis

Overexpression of SP6 Correlates with Osteosarcoma Metastasis and Poor Prognosis

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Dongmei Guo
Department of Hematology, Taian City Central Hospital, Taian, Shandong, People's Republic of China

A B S T R A C T

Background: SP6 (Specificity protein 6) has been explored as a prospective biomarker in several cancers. In this research, the prognostic value of SP6 expression in osteosarcoma was predicted by bioinformatics analysis. Data were obtained from the Gene Expression Omnibus (GEO) database. Methods: Gene expression data and clinical materials were downloaded from the GSE21257 dataset. The mRNA expression of SP6 was compared between metastatic and non-metastatic tissues with the Wilcoxon rank-sum test, and the relationship between SP6 and clinicopathological characters was analysed using logistic regression. In addition, the correlation between SP6 and survival rate was assessed using KaplanMeier and Cox regression. Moreover, receiver operating characteristic (ROC) curve analysis was conducted to determine the prognostic merit of SP6 for osteosarcoma. The biological functions of SP6 were annotated and evaluated through gene set enrichment analysis (GSEA) and gene set variation analysis (GSVA). Results: SP6 was significantly highly expressed in metastatic osteosarcoma tissues (p = 0.002). High SP6 expression showed a positive correlation with Huvos grade (OR = 6.60 for I vs. II, p = 0.028). The overall survival (OS) of the patients with high SP6 expression was significantly poorer than the low SP6 expression group (p = 0.027). The multivariate analysis revealed that SP6 expression (p = 0.002, HR = 15.40 (95% CI [2.84–83.44])) was independently correlated with OS. GSEA and GSVA showed that "spliceosome" and "base excision repair" were significantly upregulated in the high expression group of SP6. Conclusion: SP6 may serve an independent prognostic biomarker in osteosarcoma.

Article Info

Article Type
Research Article
Publication history
Received: Tue 21, Jul 2020
Accepted: Tue 04, Aug 2020
Published: Wed 12, Aug 2020
Copyright
© 2023 Dongmei Guo. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Hosting by Science Repository.
DOI: 10.31487/j.JSO.2020.04.06