Abstract

ObjectiveTo investigate the expression of ITGA3 and its association with clinical outcomes in papillary thyroid carcinoma (PTC).MethodsThe expression level, association with clinicopathologic characteristics, co-expressed genes, signaling pathways of ITGA3 in thyroid cancer were comprehensively analyzed using bioinformatics analysis through multiple public gene databases. PTC specimens and cell lines were used to verify the results of bioinformatics analysis.ResultsData mining based on the Oncomine database revealed that ITGA3 expression in classical PTC and tall cell variant PTC was much higher than that in normal thyroid tissue except the follicular variant PTC. Analysis based on The Cancer Genome Atlas (TCGA) database showed that the expression of ITGA3 varies greatly in pathological stages, pathological types, tumor invasion stages, and lymph node metastasis stages of thyroid carcinoma. High expression level of ITGA3 was correlated with tumor regional invasion and lymph node metastasis. Multivariate analysis using logistic regression model showed that high expression of ITGA3 was a risk factor that associated with PTC recurrence and lymph node metastasis. Survival analysis showed that patients with high expression of ITGA3 in PTC had a poorer relapse-free survival (RFS) than patients with low expression of ITGA3 (P < 0.05). Immunohistochemistry experiments showed that the expression of ITGA3 in recurrent thyroid cancer tissues was stronger than that in no-recurrent thyroid cancer tissues (P < 0.05). Knockdown of ITGA3 by sh-RNA in PTC cell lines suppresses cell viability and invasive and migrating capacity.ConclusionITGA3 is overexpressed in PTC, especially in those with higher tumor invasion grades and lymph node metastasis, and was associated with recurrence and poor RFS of PTC. High expression of ITGA3 may have the potential role of predicting PTC recurrence and lymph node metastasis.

Highlights

  • Thyroid cancer is the most prevalent malignancy in the endocrine system [1]

  • To further investigate the potential regulative mechanism of ITGA3 in papillary thyroid carcinoma (PTC), we explored genes that were co-expressed with ITGA3 in thyroid cancer using the Gene Expression Profiling Interactive Analysis (GEPIA) database, in which the tumor samples were from The Cancer Genome Atlas (TCGA) database and the normal samples were from both TCGA and GTEx projects [18]

  • Analysis of the expression of ITGA3 in pan-cancer and its normal tissues based on TCGA datasets using GEPIA web-based tool revealed that 11 cancers displayed significantly higher ITGA3 expression and 5 cancers displayed lower ITGA3 expression compared to their normal tissues (Figure 1A)

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Summary

Methods

The expression level, association with clinicopathologic characteristics, coexpressed genes, signaling pathways of ITGA3 in thyroid cancer were comprehensively analyzed using bioinformatics analysis through multiple public gene databases. PTC specimens and cell lines were used to verify the results of bioinformatics analysis

Results
Conclusion
INTRODUCTION
MATERIALS AND METHODS
Statistical Method
RESULTS
DISCUSSION
ETHICS STATEMENT
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