Identification of SRGAP2 as a potential oncogene and a prognostic biomarker in hepatocellular carcinoma

Background: Hepatocellular carcinoma (HCC) is one of the common malignancies worldwide. Slit-Robo GTPaseactivating proteins (SRGAPs) have been shown to regulate the occurrence and development of various tumors. However, their specific roles in HCC remain elusive. Methods: The expression pattern, genetic alteration and prognostic value of SRGAPs in HCC are analyzed by bioinformatics tools. The biological functions of SRGAP2 in HCC cells are demonstrated by in vitro experiments. The high-throughput RNA sequencing is conducted to explore the underlying molecular mechanisms of SRGAP2 in HCC cells. Results: The expression levels of SRGAP1 and SRGAP2 are significantly elevated in HCC tissues compared to the normal both in Oncomine and TCGA datasets, and SRGAP2 are dramatically upregulated both in mRNA and protein levels. Moreover, higher SRGAP2 is significantly related to the clinical stages of HCC. Meanwhile, SRGAP2 might be an independent prognostic indicator, as it correlates negatively with the clinical outcomes of HCC patients. Further SRGAP2-silencing experiments imply that SRGAP2 might remarkably promote the migration and invasion of HCC cells in an EMT-independent pattern. Based on the high-throughput RNA sequencing of SRGAP2-knockdown HCC cells, enrichment and network analyses demonstrate that SRGAP2 is closely associated with cellular metabolic signaling. Conclusions: Our study firstly illustrates the crucial role of SRGAP2 in the metastasis of HCC and explores its underlying molecular mechanisms. We identify SRGAP2 as a promising prognostic biomarker and a novel therapeutic target for HCC patients.

Automated summary

SRGAP1 and SRGAP2 are significantly elevated in HCC tissues, especially SRGAP2. High SRGAP2 levels are closely related to the clinical stages of HCC and may serve as an independent prognostic indicator. SRGAP2 promotes migration and invasion of HCC cells and is closely associated with cellular metabolic signaling.