Gastric cancer currently has no effective treatment due to its high metastasis and heterogeneity. It has been reported that ropivacaine (Rop) can inhibit the growth, migration, and invasion of gastric cancer. However, the therapeutic mechanism of Rop still needs to be further explored to provide insights for its clinical application. This study aimed to explore the effects of Rop on the growth, migration, and invasion of gastric cancer cells and the underlying mechanisms. The expression levels of SNX10 were assessed in gastric cancer tissues and cell line AGS by qRT-PCR. Cell Counting Kit-8 (CCK8) assay, wound-healing assay, and transwell assay were then used to examine the effects of Rop on the AGS cell viability, migration, invasion, and proliferation, respectively. Additionally, colony formation assay was used to measure cell proliferation ability, and flow cytometry was used to detect apoptosis level. Protein levels of SNX10, SRC, and STAT3 were detected by western blot. According to the experimental results, the decreased SNX10 mRNA expression was observed in gastric cancer tissue and cell line AGS. Rop inhibited the proliferation, migration, and invasion of AGS cells, but promoted apoptosis and upregulated SNX10 expression. Moreover, Rop inhibited the expression of MMP-2 and MMP-9, phosphorylation of SRC and STAT3. SNX10 knockdown could reverse Rop-induced anticancer effects. Collectively, Rop showed a potential role in preventing proliferation and metastasis of gastric cancer. The action mechanism of Rop may be related to the upregulation of SNX10 expression and further inhibition of SRC/STAT3 signaling pathway. Our findings provide new insights into the anticancer properties of Rop.

Rationale: While some non-steroidal anti-inflammatory drugs (NSAIDs) are reported to induce hepatic steatosis, the molecular mechanisms are poorly understood. This study presented the mechanism by which NSAIDs induce hepatic lipid accumulation. Methods: Mouse primary hepatocytes and HepG2 cells were used to examine the underlying mechanism of NSAID-induced hepatic steatosis. Lipid accumulation was measured using Nile-red assay and BODIPY 493/503. The activity of chaperone-mediated autophagy (CMA) was determined by western blotting, qRT-PCR, and confocal imaging. The effect of NSAID on CMA inhibition was evaluated in vivo using diclofenac and CMA activator (AR7) administered mice. Results: All tested NSAIDs in this study accumulated neutral lipids in hepatocytes, diclofenac having demonstrated the most potency in that regard. Diclofenac-induced lipid accumulation was confirmed in both mouse primary hepatocytes and the liver of mice. NSAIDs inhibited CMA, as reflected by the decreased expression of lysosome-associated membrane glycoprotein 2 isoform A (LAMP2A) protein, the increased expression of CMA substrate proteins such as PLIN2, and the decreased activity of photoactivatable KFERQ-PAmCherry reporter. Reactivation of CMA by treatment with AR7 or overexpression of LAMP2A inhibited diclofenac-induced lipid accumulation and hepatotoxicity. Upregulation of sorting nexin 10 (SNX10) via the CHOP-dependent endoplasmic reticulum stress response and thus maturation of cathepsin A (CTSA) was shown to be responsible for the lysosomal degradation of LAMP2A by diclofenac. Conclusion: We demonstrated that NSAIDs induced SNX10- and CTSA-dependent degradation of LAMP2A, thereby leading to the suppression of CMA. In turn, impaired CMA failed to degrade PLIN2 and disrupted cellular lipid homeostasis, thus leading to NSAID-induced steatosis and hepatotoxicity.

Sorting nexin 10 (SNX10) induces formation of vacuoles participating in the endosome morphogenesis in mammalian cells, but the key amino acids involved in this function have not been fully identified. In this study, point mutations were introduced to the conserved region of the SNX10 PX domain to elucidate the function of these key amino acid residues. The number of vacuoles in the R53A mutant was partially decreased, while the R52A and R51A mutants completely lacked the vacuoles. All mutant proteins lost the phosphatidylinositol 3-phosphate (PtdIns3P)-binding ability and endosomal localization. Retargeting the mutants to the endosomes rescued partially or fully the vacuole-inducing ability in the R51A and R53A mutants, respectively, but not in the R52A mutant. No vacuoles were induced when the R51A mutant was targeted to other organelles. Structural analysis showed that Arg53 is responsible for the PtdIns(3)P binding, whereas Arg51 and Arg52 contribute to the structural integrity of SNX10. We conclude that the disruption of the key residues affects the structure and function of SNX10 and that induction of vacuole formation by SNX10 depends on its endosomal location.

SNX10 is a member of the phox homology domain-containing family of phosphoinositide-binding proteins. Intracellularly, SNX10 localizes to endosomes where it mediates intracellular trafficking, endosome organization, and protein localization to the centrosome and cilium. It is highly expressed in bone and the gut where it participates in bone mineral and calcium homeostasis through the regulation of osteoclastic bone resorption and gastric acid secretion, respectively. Not surprisingly, patients harboring mutations in SNX10 mutation manifest a phenotype of autosomal recessive osteopetrosis or malignant infantile osteopetrosis, which is clinically characterized by dense bones with increased cortical bone into the medullary space with bone marrow occlusion or depletion, bone marrow failure, and anemia. Accordingly, SNX10 mutant osteoclasts exhibit impaired bone resorptive capacity. Beyond the skeleton, there is emerging evidence implicating SNX10 in cancer development, metabolic disorders, inflammation, and chaperone-mediated autophagy. Understanding the structural basis through which SNX10 exerts its diverse biological functions in both cell and tissue-specific manners may therefore inform new therapeutic opportunities toward the treatment and management of SNX10-related diseases.

The R51Q mutation in sorting nexin 10 (SNX10) was shown to cause a lethal genetic disease in humans, namely autosomal recessive osteopetrosis (ARO). We describe here the first R51Q SNX10 knock-in mouse model and show that mice homozygous for this mutation exhibit massive, early-onset, and widespread osteopetrosis. The mutant mice exhibit multiple additional characteristics of the corresponding human disease, including stunted growth, failure to thrive, missing or impacted teeth, occasional osteomyelitis, and a significantly-reduced lifespan. Osteopetrosis in this model is the result of osteoclast inactivity that, in turn, is caused by absence of ruffled borders in the mutant osteoclasts and by their inability to secrete protons. These results confirm that the R51Q mutation in SNX10 is a causative factor in ARO and provide a model system for studying this rare disease.

OBJECTIVE: To detect significant clusters of co-expressed genes associated with tumorigenesis that might help to predict stomach adenocarcinoma (SA) prognosis.
METHODS: The Cancer Genome Atlas database was used to obtain RNA sequences as well as complete clinical data of SA and adjacent normal tissues from patients. Weighted gene co-expression network analysis (WGCNA) was used to investigate the meaningful module along with hub genes. Expression of hub genes was analyzed in 362 paraffin-embedded SA biopsy tissues by immunohistochemical staining. Patients were classified into two groups (according to expression of hub genes): Weak expression and over-expression groups. Correlation of biomarkers with clinicopathological factors indicated patient survival.
RESULTS: Whole genome expression level screening identified 6,231 differentially expressed genes. Twenty-four co-expressed gene modules were identified using WGCNA. Pearson\'s correlation analysis showed that the tan module was the most relevant to tumor stage (r = 0.24, P = 7 × 10-6). In addition, we detected sorting nexin (SNX)10 as the hub gene of the tan module. SNX10 expression was linked to T category (P = 0.042, χ2 = 8.708), N category (P = 0.000, χ2 = 18.778), TNM stage (P = 0.001, χ2 = 16.744) as well as tumor differentiation (P = 0.000, χ2 = 251.930). Patients with high SNX10 expression tended to have longer disease-free survival (DFS; 44.97 mo vs 33.85 mo, P = 0.000) as well as overall survival (OS; 49.95 vs 40.84 mo, P = 0.000) in univariate analysis. Multivariate analysis showed that dismal prognosis could be precisely predicted clinicopathologically using SNX10 [DFS: P = 0.014, hazard ratio (HR) = 0.698, 95% confidence interval (CI): 0.524-0.930, OS: P = 0.017, HR = 0.704, 95%CI: 0.528-0.940].
CONCLUSIONS: This study provides a new technique for screening prognostic biomarkers of SA. Weak expression of SNX10 is linked to poor prognosis, and is a suitable prognostic biomarker of SA.

As of 2012, liver cancer was the second leading cause of death worldwide, and hepatocellular carcinoma is the most common primary cancer of the liver. The identification of molecules that might be molecular markers or therapeutic targets is urgently needed to improve clinical management. Based on a microarray analysis performed in our laboratory, we selected six genes-namely, ANXA2, DYNLT1, PFKP, PLA2G7, KRT19, and SNX10-as candidates for validation as tumor markers of liver cancer in a rat model. Their patterns of overexpression in preneoplastic lesions and established tumors at 10 different time points between 24 h and 18 months were analyzed to identify putative tumor markers for further studies. We validated the microarray results by quantitative reverse transcription polymerase chain reaction, which revealed high transcriptional expression for five of the genes, consistent with their high protein expression during cancer progression reported in the literature. However, studies of the association of sorting nexin 10 with different types of cancer are limited, prompting further study. The characterization of sorting nexin 10 in preneoplastic lesions and established tumors revealed messenger RNA overexpression and a simultaneous decrease in sorting nexin 10 protein expression. A group of microRNAs related to sorting nexin 10 messenger RNA were selected based on a data analysis conducted using miRDB and microrna.org . An analysis of the expression of these microRNAs revealed an increase in the transcription of microRNA-30d whenever the sorting nexin 10 protein was downregulated. These results suggest that sorting nexin 10 is a potential liver cancer marker exhibiting characteristics of a putative suppressor protein that is likely regulated by microRNA-30d.