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Garlic is generally used as a therapeutic reagent against various diseases worldwide. Although a great effort is made to understand the pharmaceutical mechanisms of garlic and its derivatives, there are many mysteries to be uncovered. Using proteomic means, herein we have systematically studied the responses of protein expression in BGC823 cells, a gastric cancer cell line, induced by diallyl trisulfide (DATS), a major component of garlic derivatives. A total of 41 unique proteins in BGC823 were detected with significant changes in their expression levels corresponding with DATS administration. Of these proteins, five typical ones, glutathione S-transferase-pi (GST-pi), voltage-dependent anion channel-1 (VDAC-1), Annexin I, Galectin and S100A11, were further examined by Western blotting, resulting in coincident data with the proteomic evidence. Moreover quantitative real-time RT-PCR experiments offered dynamic data of mRNA expression, indicating the responses of Annexin I and GST-pi expression within a short period after DATS treatment. Interestingly, approximately 50% of DATS-sensitive proteins (19/41) in BGC823 are tightly associated with apoptotic pathways. These proteomic results presented, therefore, provide additional support to the hypothesis that garlic is a strong inducer of apoptosis in tumor cells.

Objective: This study was designed to investigate the effects and mechanism of long noncoding RNA (lncRNA) PVT1 on cell migration, proliferation, and apoptosis of laryngeal squamous cell carcinoma (LSCC). Methods: We screened lncRNAs expression profiles in four pair LSCC and matched noncancerous tissues by microarray assay. The messenger RNA levels of PVT1 in tissues and cells were evaluated by quantitative real-time polymerase chain reaction analysis. StarBase website was used to predict the target miRNAs for PVT1. And the interaction between PVT1 and target miRNA-519d-3p in LSCC cells was analyzed using dual-luciferase reporter assay. MTT assay was used to investigate the cell viability. Cell counting assay was used to explore the cell proliferation. Annexin-V propidium iodide flow cytometry was used to examine the cell apoptosis, and transwell assay was used to investigate the effects of lncRNA PVT1 on cell migration. Results: PVT1 was significantly overexpressed in human LSCC tissues and several LSCC cell lines. Upregulation of lncRNA PVT1 markedly facilitated proliferation suppressed apoptosis and promoted cell migration in LSCC cells. We further demonstrated that silencing PVT1 strikingly suppressed proliferation, promoted apoptosis, and reduced migration in LSCC cells. Further bioinformatic analysis and dual-luciferase reporter assay revealed that PVT1 could function as an oncogenic transcript partly through sponging miR-519d-3p. Besides, mechanistic investigations indicated that PVT1 could promote cell and migration through interacting with miR-519d-3p.Conclusion: LncRNA PVT1 is consistently overexpressed in human LSCC, and overexpression of lncRNA PVT1 contributes to the proliferation and migration of LSCC through inhibiting miR-519d-3p expression. K E Y W O R D S laryngeal squamous cell carcinoma, long noncoding RNA PVT1, miR-519d-3p J Cell Biochem. 2019;120:3911-3921.wileyonlinelibrary.com/journal/jcb

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Abnormal metabolism, including abnormal fatty acid metabolism, is an emerging hallmark of cancer. The current study sought to investigate the potential prognostic value of fatty acid metabolism-related long noncoding RNAs (lncRNAs) in colorectal cancer (CRC). To this end, we obtained the gene expression data and clinical data of patients with CRC from The Cancer Genome Atlas (TCGA) database. Through gene set variation analysis (GSVA), we found that the fatty acid metabolism pathway was related to the clinical stage and prognosis of patients with CRC. After screening differentially expressed RNAs, we constructed a fatty acid metabolism-related competing endogenous RNA (ceRNA) network based on the miRTarBase, miRDB, TargetScan, and StarBase databases. Next, eight fatty acid metabolism-related lncRNAs included in the ceRNA network were identified to build a prognostic signature with Cox and least absolute shrinkage and selection operator (LASSO) regression analyses, and a nomogram was established based on the lncRNA signature and clinical variables. The signature and nomogram were further validated by Kaplan–Meier survival analysis, Cox regression analysis, calibration plots, receiver operating characteristic (ROC) curves, decision curve analysis (DCA). Besides, the TCGA internal and the quantitative real-time polymerase chain reaction (qRT-PCR) external cohorts were applied to successfully validate the robustness of the signature and nomogram. Finally, in vitro assays showed that knockdown of prognostic lncRNA TSPEAR-AS2 decreased the triglyceride (TG) content and the expressions of fatty acid synthase (FASN) and acetyl-CoA carboxylase 1 (ACC1) in CRC cells, which indicated the important role of lncRNA TSPEAR-AS2 in modulating fatty acid metabolism of CRC. The result of Oil Red O staining showed that the lipid content in lncRNA TSPEAR-AS2 high expression group was higher than that in lncRNA TSPEAR-AS2 low expression group. Our study may provide helpful information for fatty acid metabolism targeting therapies in CRC.