Abstract
Many studies have shown that there are many circular RNA (circRNA) expression abnormalities in osteosarcoma (OS), and this abnormality is related to the development of osteosarcoma. But at present, it is unclear as to what circITGA7 has in the OS and what it does. In this study, qRT-PCR was used to detect the expression of circITGA7, miR-370, and PIM1 mRNA in OS tissues and cells. The CCK-8 assay was used to detect the effect of circITGA7 on cell proliferation. Later, the transwell assay was used to detect cell migration and invasion. The dual-luciferase reporter assay confirmed the existence of the targeting relationship between circITGA7 and miR-370, and miR-370 and PIM1. We found that circITGA7 was upregulated in OS tissues and cell lines. Knockdown of circITGA7 weakened the cell's ability to proliferate and metastasize. Furthermore, we observed that miR-370 was negatively regulated by circITGA7, while PIM1 was positively regulated by it. A functional assay validated that circITGA7 promoted OS progression via suppressing miR-370 and miR-370 affected OS proliferation and migration via PIM6 in OS. In summary, this study shows that circITGA7 promotes OS proliferation and metastasis via miR-370/PIM1.
Highlights
Osteosarcoma (OS) is a malignant cancer with a worldwide incidence of 0.2% [1]
Our study demonstrates the potential of the circITGA7/miR-370/PIM1 axis as biomarkers for early screening, diagnosis, and monitoring of treatment progression for osteosarcoma
To investigate the functions of circITGA7 in osteosarcoma, at first, we studied its expression in osteosarcoma tissues and cell lines
Summary
Osteosarcoma (OS) is a malignant cancer with a worldwide incidence of 0.2% [1]. It is, one of the subjects of huge interest to surgeons. Because osteosarcomas do not have precancerous lesions or in situ cancers, when the diagnosis of osteosarcomas is made, the lesions that have occurred are often already malignant tumors [4]. It is, necessary to carry out the research of early diagnosis and explore the biomarker of early diagnosis and treatment [5]
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More From: Computational and Mathematical Methods in Medicine
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