Abstract
The late diagnosis and easy metastasis of lung adenocarcinoma (LADC) remains a challenge. SGPP2 is reported to modulate cell processes in many cancers. However, the roles and molecular mechanisms of SGPP2 in LADC are unclear. Online bioinformatics tools GEPIA, CPTAC, and K-M plotter were used to analyze the expression of SGPP2 and the prognosis in LADC. JASPAR and PROMO were used to predict the transcription factors of SGPP2. Real-time quantitative reverse transcription PCR and western blot were used to detect the levels of SGPP2 in LADC cell lines and tissues. Cell counting kit-8, colony formation, flow cytometry, and transwell assay were used to detect cell proliferation, apoptosis, and invasion. The anti-cancer effect of SGPP2 silence was evaluated in the LADC xenograft model. It was found that SGPP2 was highly expressed and related to the poor prognosis of LADC patients. Elevated SGPP2 expression was detected in LADC cell lines and tissues. The chi-square test indicated that the expression of SGPP2 was positively related to tumor, node, metastasis grades and lymph node metastasis. Knocking down SGPP2 significantly inhibited LADC cell viability, and invasion, but induced apoptosis. The anti-tumor effects of SGPP2 were verified in vivo. The upstream transcription factor of SGPP2 was predicted to be SP1, which was highly expressed in LADC tissues and cell lines. Overexpression of SP1 partly rescued the inhibition of SGPP2-shRNA in cell growth, colony formation, and invasion capabilities, and decreased apoptotic cell number in LADC cells. This study demonstrated that SGPP2, activated by SP1, promotes LADC cell proliferation and invasion, and suppresses apoptosis in LADC.
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