Background Circular RNAs (circRNAs) are involved in diverse processes that drive cancer development. However, the expression landscape and mechanistic function of circRNAs in osteosarcoma (OS) remain to be studied. Methods Bioinformatic analysis and high-throughput RNA sequencing tools were employed to identify differentially expressed circRNAs between OS and adjacent noncancerous tissues. The expression level of circ_001422 in clinical specimens and cell lines was measured using qRT-PCR. The association of circ_001422 expression with the clinicopathologic features of 55 recruited patients with OS was analyzed. Loss- and gain-of-function experiments were conducted to explore the role of circ_001422 in OS cells. RNA immunoprecipitation, fluorescence in situ hybridization, bioinformatics database analysis, RNA pulldown assays, dual-luciferase reporter assays, mRNA sequencing, and rescue experiments were conducted to decipher the competitive endogenous RNA regulatory network controlled by circ_001422. Results We characterized a novel and abundant circRNA, circ_001422, that promoted OS progression. Circ_001422 expression was dramatically increased in OS cell lines and tissues compared with noncancerous samples. Higher circ_001422 expression correlated with more advanced clinical stage, larger tumor size, higher incidence of distant metastases and poorer overall survival in OS patients. Circ_001422 knockdown markedly repressed the proliferation and metastasis and promoted the apoptosis of OS cells in vivo and in vitro, whereas circ_001422 overexpression exerted the opposite effects. Mechanistically, competitive interactions between circ_001422 and miR-195-5p elevated FGF2 expression while also initiating PI3K/Akt signaling. These events enhanced the malignant characteristics of OS cells. Conclusions Circ_001422 accelerates OS tumorigenesis and metastasis by modulating the miR-195-5p/FGF2/PI3K/Akt axis, implying that circ_001422 can be therapeutically targeted to treat OS.
Osteosarcoma is the most common primary malignancy of the bones, and is associated with a high rate of metastasis and a poor prognosis. A tight association between the tumor microenvironment (TME) and osteosarcoma metastasis has been established. In the present study, the Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data (ESTIMATE) algorithm was applied to calculate the immune and stromal scores of patients with osteosarcoma based on data from The Cancer Genome Atlas database. A metagene approach and deconvolution method were used to reveal distinct TME landscapes in patients with osteosarcoma. Bioinformatics analysis was used to identify differentially expressed genes (DEGs) associated with metastasis and immune infiltration in osteosarcoma, and a risk model was constructed using the DEGs with potential prognostic significance. Subsequently, gene set enrichment and Spearman's correlation analyses were used to delineate the biological processes associated with these prognostic biomarkers. Finally, immunohistochemical (IHC) analysis was performed to evaluate the expression levels of immune infiltrates and prognostic biomarkers in clinical osteosarcoma tissues. The results of the ESTIMATE demonstrated that patients with non-metastatic osteosarcoma presented with higher immune/stromal scores and a more favorable prognosis compared with those with metastatic osteosarcoma. The TME landscapes in patients with osteosarcoma suggested that high levels of tumor-infiltrating immune cells (TIICs) may suppress metastasis. Increased numbers of CD56 bright natural killer cells, immature B cells, M1 macrophages and neutrophils, and lower levels of M2 macrophages were observed in the non-metastatic tissues compared with those in the metastatic tissues. A total of 69 DEGs were identified to be associated with metastasis and immune infiltration in osteosarcoma. Of these, GATA3, LPAR5, EVI2B, RIAM and CFH exhibited prognostic potential and were highly expressed in non-metastatic osteosarcoma tissues based on the IHC analysis results. These biomarkers were involved in various immune-related biological processes and were positively associated with multiple TIICs and immune signatures. The risk model constructed using these prognostic biomarkers demonstrated high predictive accuracy for the prognosis of osteosarcoma. In conclusion, the present study proposed a five-biomarker prognostic signature for the prediction of metastasis and immune infiltration in patients with osteosarcoma.
BackgroundCircular RNAs (circRNAs) are involved in diverse processes that drive cancer development. Nevertheless, the expression landscape and mechanistic function of circRNAs in osteosarcoma (OS) remain to be studied.MethodsBioinformatics analysis and high-throughput RNA sequencing tools were employed to determine differentially expressed circRNAs between OS and adjacent healthy tissues. The expression levels of circ_001422 in clinical specimens and cell lines were measured using qRT-PCR. A total of 55 OS patients were recruited to analyze the association of circ_001422 expression with clinicopathologic features. Loss- and gain-of-function tests were conducted to explore the role of circ_001422 in OS cells. RNA immunoprecipitation, fluorescent in situ hybridization, bioinformatics databases, RNA pull-down assay, dual-luciferase reporter assay, mRNA sequencing, and rescue experiments were conducted to decipher the competitive endogenous RNAs regulatory network dominated by circ_001422.ResultsWe characterized a novel and abundant circRNA, circ_001422, which promoted the progression of OS. Circ_001422 expression was dramatically higher in OS cell lines and tissues relative to normal samples. Increased circ_001422 correlated with more advanced clinical stage, larger tumor size, more distant metastases and poorer overall survival of OS patients. Knockdown of circ_001422 markedly repressed proliferation and metastasis and promoted apoptosis of OS cells in vivo and in vitro, whereas overexpression of circ_001422 exerted an opposite effect. Mechanistically, competitive interactions between circ_001422 and miR-195-5p elevated the expression of FGF2 while also initiating the PI3K/Akt signaling pathway. These events enhanced the malignant characteristics of OS cells.ConclusionsCirc_001422 accelerates OS tumorigenesis and metastasis through modulating the miR-195-5p/FGF2/PI3K/Akt axis, implying that circ_001422 could be therapeutically targeted to treat OS patients.
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