Background:Our aim was to evaluate the clinical significance of SPP1 in OSCC tissues and to detect the clinical diagnostic value of SPP1 in serum and saliva of OSCC. Methods:The expression of SPP1 was predicted by TCGA database, and the correlation between SPP1 expression and prognosis of OSCC was evaluated. The levels of SPP1 in 90 OSCC tissues and 40 normal tissues were detected by immunohistochemistry. ELISA was utilized to determine SPP1 levels in serum and saliva containing 70 OSCC patients and 20 healthy persons.Statistical analysis was used to determine correlations between SPP1 expression and clinicopathological characteristics, generate survival curves and analyze diagnostic efficiency. Results:TCGA database showed the SPP1 in OSCC tissues was higher than in normal tissues, patients with high SPP1 expression in OSCC had a shorter survival time. The results of immunohistochemistry were consistent with TCGA database. SPP1 in OSCC tissues and saliva were related with tumor differentiation and tumor stage. The diagnostic value of SPP1 in saliva was higher than that in serum. Conclusions: The expression of SPP1 was significantly increased in OSCC tissues, serum and saliva.. High expression of SPP1 may play an important role in diagnosis and prognosis of OSCC.
Synuclein-γ (SNCG) and Snai1 play an important role in the occurrence and development of different types of malignant tumors. However, the association between SNCG and Snai1 and the effect of their combination on oral squamous cell carcinoma (OSCC) are unknown. The purpose of this study was to assess the expression of SNCG and Snai1 in OSCC tissues and their role in the genesis, development, diagnosis, and prognosis of OSCC. In this study, we first analyzed the Gene Expression Omnibus (GEO) database to determine the expression of SNCG and Snai1 in OSCC. And we also evaluated the correlation between the expression of SNCG and Snai1 and clinical pathological parameters in OSCC from The Cancer Genome Atlas (TCGA) database. Then, the expression of SNCG and Snai1 in OSCC and its adjacent tissues in our experimental cohort were detected by qRT-PCR, Western blot, and immunohistochemistry, and the relationship between their expression and clinical pathological parameters were analyzed. At the same time, the correlation between the expression of SNCG and Snai1 was analyzed from the TCGA, GEO database, and our experimental cohort. Next, the ROC curves were constructed to explore the diagnostic value of SNCG and Snai1 in OSCC. Finally, the survival curves were drawn, and the univariate and multivariate Cox regression analyses were performed to determine the prognostic value of SNCG and Snai1 in OSCC. The study found that SNCG and Snai1 were highly expressed in OSCC tissues. The expression of SNCG was related to the differentiation of OSCC, while that of Snai1 was related to the T stage, lymph node metastasis, clinical stage, and differentiation. Besides, the expression of SNCG in OSCC was positively correlated with that of Snai1. In addition, we also found that SNCG and Snai1 could well distinguish OSCC patients from normal people; especially, the combined diagnosis of SNCG and Snai1 had a better effect, with a specificity up to 96.67%. Moreover, SNCG-negative/Snai1-negative OSCC patients had the best prognosis. Multivariate analysis displayed that SNCG-positive expression was an independent risk factor for prognosis in OSCC patients. The results of this study strongly suggested that SNCG and Snai1 might have a cooperative effect in the occurrence and development of OSCC. They may become new markers for the diagnosis and prognosis of OSCC.
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