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Objective To explore the molecular mechanism of SHMT2 regulating the invasion and migration of breast cancer cells. Methods Bioinformatics analysis was used to verify the role of SHMT2 in breast cancer tissues. Transwell assay was used to detect the changes of invasion and migration abilities of breast cancer cells. Co-immunoprecipitation, knockdown plasmid transfection and Western blot were used to determine the regulatory relationship between different proteins. Results Bioinformatics analysis showed that the expression level of SHMT2 in invasive breast cancer tissues was significantly higher than that in adjacent normal tissues (P < 0.001). The 5-year disease-specific survival and overall survival in the SHMT2 high expression group were significantly lower than those in the SHMT2 low expression group (both P < 0.001). Transwell assay showed that SHMT2 knockdown significantly reduced the invasion ability (t=5.375, P=0.0058) and migration ability (t=6.274, P=0.0033) of MCF7 cells. Western blot showed that SHMT2 could combine to HAX1, and knockdown of SHMT2 reduced the protein level of HAX1. Transwell assay showed that the inhibitory effect of SHMT2 knockdown on the migration of MCF7 cells could be reversed by overexpression of HAX1 (t=6.274, P=0.0033; t=8.041, P=0.0013), while SHMT2 inhibitor (SHIN1, 10 nmol/L) significantly inhibited the migration of MCF7 cells induced by SHMT2 overexpression (t=10.16, P=0.0005; t=8.741, P=0.0009). Conclusion SHMT2 was closely related to the poor prognosis of breast cancer, and was a key factor in the invasion and migration of breast cancer cells. The mechanism was that SHMT2 increased the invasion and migration ability of breast cancer cells by binding to and up-regulating HAX1. It was verified that SHMT2 inhibitor could significantly reduce the migration ability of breast cancer cells. This study explored the therapeutic potential of SHMT2 inhibitor in metastatic breast cancer, and found potential intervention targets for its clinical treatment.
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BACKGROUND: Kidney cancer is one of the most common cancers in the world. It is necessary to clarify its underlying mechanism and find its prognostic biomarkers. Current studies showed that SHMT2 may be participated in several kinds of cancer. METHODS: Our studies investigated the expression of SHMT2 in kidney cancer by Oncomine, Human Protein Atlas database and ULCAN database. Meanwhile, we found its co-expression gene by cBioPortal online tool and validated their relationship in A498 and ACHN cells by cell transfection, western blot and qRT-PCR. Besides these, we also explored their prognostic values via the Kaplan-Meier plotter database in different types of kidney cancer patients. RESULTS: SHMT2 was found to be increased in 7 kidney cancer datasets, compared to normal renal tissues. For the cancer stages, ages and races, there existed significant difference in the expression of SHMT2 among different groups by mining of the UALCAN database. High SHMT2 expression is associated with poor overall survival in patients with kidney cancer. Among all co-expressed genes, NDUFA4L2 and SHMT2 had a high co-expression efficient. SHMT2 overexpression led to the increased expression of NDUFA4L2 at both mRNA and protein levels. Like SHMT2, overexpressed NDUFA4L2 also was associated with worse overall survival in patients with kidney cancer. CONCLUSION: Based on above results, overexpressed SHMT2 and its co-expressed gene NDUFA4L2 were all correlated with the prognosis in kidney cancer. The present study might be benefit for better understanding the clinical significance of SHMT2 and provided a potential therapeutic target for kidney cancer in future.