Engineering the nanozyme hydrogel beads by polyvinyl alcohol/chitosan encapsulation with recyclable and sustainable catalytic activity for visual analysis of hydrogen peroxide.

BACKGROUND: Hydrogen peroxide (H2O2) plays a vital role in human health and have been regarded as a crucial analyte in metabolic processes, redox transformations, foods research and medical fields. Especially, the long-time and excessive digestion of H2O2 may even cause severe diseases. Although conventional instrumental methods and nanozymes-based colorimetric methods have been developed to accomplish the quantitative analysis of H2O2, the drawbacks of instrument dependence, cost-effectiveness, short lifespan, non-portable and unsustainable detection efficacies will limit their applications in different detection scenarios. RESULTS: Herein, to address these challenges, we have proposed a novel strategy for nanozyme (RuO2) hydrogel preparation by the solid support from cross-linked polyvinyl alcohol (PVA) and chitosan (CS) to both inherit the dominant peroxidase-like (POD) activity and protect the RuO2 from losing efficacies. Taking advantages from the hydrogel, the encapsulated RuO2 were further prepared as the regularly spherical beads (PCRO) to exhibit the sustainable, recyclable, and robust catalysis. Moreover, the intrinsic color interferences which originated from RuO2 can be avoided by the encapsulation strategy to promote the detection accuracy. Meanwhile, the high mechanical strength of PCRO shows the high stability, reproducibility, and cyclic catalysis to achieve the recyclable detection performance and long lifetime storage (40 days), which enables the sensitively detection of H2O2 with the detection limit as lower to 15 µM and the wide detection linear range from 0.025 to 1.0 mM. SIGNIFICANCE: On the basis of the unique properties, PCRO has been further adopted to construct a smartphone detection platform to realize the instrument-free and visual analysis of H2O2 in multi-types of milk and real water samples through capturing, processing, and analyzing the RGB values from the colorimetric photographs. Therefore, PCRO with the advanced detection efficacies holds the great potential in achieving the portable and on-site analysis of targets-of-interest.

The role and molecular mechanism of metabolic reprogramming of colorectal cancer by UBR5 through PYK2 regulation of OXPHOS expression study.

Colorectal carcinoma (CRC) is the third most malignant tumor in the world, but the key mechanisms of CRC progression have not been confirmed. UBR5 and PYK2 expression levels were detected by RT-qPCR. The levels of UBR5, PYK2, and mitochondrial oxidative phosphorylation (OXPHOS) complexes were detected by western blot analysis. Flow cytometry was used to detect ROS activity. The CCK-8 assay was used to assess cell proliferation and viability. The interaction between UBR5 and PYK2 was detected by immunoprecipitation. A clone formation assay was used to determine the cell clone formation rate. The ATP level and lactate production of each group of cells were detected by the kit. EdU staining was performed for cell proliferation.Transwell assay was performed for cell migration ability. For the CRC nude mouse model, we also observed and recorded the volume and mass of tumor-forming tumors. The expression of UBR5 and PYK2 was elevated in both CRC and human colonic mucosal epithelial cell lines, and knockdown of UBR5 had inhibitory effects on cancer cell proliferation and cloning and other behaviors in the CRC process by knockdown of UBR5 to downregulate the expression of PYK2, thus inhibiting the OXPHOS process in CRC; rotenone (OXPHOS inhibitor) treatment enhanced all these inhibitory effects. Knockdown of UBR5 can reduce the expression level of PYK2, thus downregulating the OXPHOS process in CRC cell lines and inhibiting the CRC metabolic reprogramming process.

Impact of cytotoxic T lymphocytes immunotherapy on prognosis of colorectal cancer patients.

Background: Expansion and activation of cytotoxic T lymphocytes (CTLs) in vitro represents a promising immunotherapeutic strategy, and CTLs can be primed by dendritic cells (DCs) loaded with tumor-associated antigens (TAAs) transformed by recombinant adeno-associated virus (rAAV). This study aimed to explore the impact of rAAV-DC-induced CTLs on prognosis of CRC and to explore factors associated with prognosis. Methods: This prospective observational study included patients operated for CRC at Yan'an Hospital Affiliated to Kunming Medical University between 2016 and 2019. The primary outcome was progression-free survival (PFS), secondary outcomes were overall survival (OS) and adverse events. Totally 49 cases were included, with 29 and 20 administered rAAV-DC-induced CTL and chemotherapy, respectively. Results: After 37-69 months of follow-up (median, 54 months), OS (P=0.0596) and PFS (P=0.0788) were comparable between two groups. Mild fever occurred in 2 (6.9%) patients administered CTL infusion. All the chemotherapy group experienced mild-to-moderate adverse effects, including vasculitis (n=20, 100%), vomiting (n=5, 25%), nausea (n=17, 85%) and fatigue (n=17, 85%). Conclusions: Lymphatic metastasis (hazard ratio [HR]=4.498, 95% confidence interval [CI]: 1.290-15.676; P=0.018) and lower HLA-I expression (HR=0.294, 95%CI: 0.089-0.965; P=0.044) were associated with poor OS in the CTL group. CTLs induced by rAAV-DCs might achieve comparable effectiveness in CRC patients compare to chemotherapy, cases with high tumor-associated HLA-I expression and no lymphatic metastasis were more likely to benefit from CTLs.

EPHX2 Inhibits Colon Cancer Progression by Promoting Fatty Acid Degradation.

Tumor cells use metabolic reprogramming to keep up with the need for bioenergy, biosynthesis, and oxidation balance needed for rapid tumor division. This phenomenon is considered a marker of tumors, including colon cancer (CRC). As an important pathway of cellular energy metabolism, fatty acid metabolism plays an important role in cellular energy supply and oxidation balance, but presently, our understanding of the exact role of fatty acid metabolism in CRC is limited. Currently, no lipid metabolism therapy is available for the treatment of CRC. The establishment of a lipidmetabolism model regulated by oncogenes/tumor suppressor genes and associated with the clinical characteristics of CRC is necessary to further understand the mechanism of fatty acid metabolism in CRC. In this study, through multi-data combined with bioinformatic analysis and basic experiments, we introduced a tumor suppressor gene, EPHX2, which is rarely reported in CRC, and confirmed that its inhibitory effect on CRC is related to fatty acid degradation.

Decreased m6A Modification of CD34/CD276(B7-H3) Leads to Immune Escape in Colon Cancer.

Previous studies have reported that m6a modification promotes tumor immune escape by affecting tumor microenvironment (TME). Due to the complexity of TME, a single biomarker is insufficient to describe the complex biological characteristics of tumor and its microenvironment. Therefore, it is more meaningful to explore a group of effective biomarkers reflecting different characteristics of cancer to evaluate the biological characteristics of solid tumors. Here, the immune gene CD34/CD276 with different m6A peak was obtained by m6A sequencing (MeRIP-seq) of colon cancer (CRC)clinical samples and combined with MsIgDB database, which was used to perform cluster analysis on TCGA-COAD level 3 data. The CD34/CD276 as a molecular marker for CRC prognosis was confirmed by survival analysis and immunohistochemical assay. Further bioinformatics analysis was carried out to analyze the molecular mechanism of CD34/CD276 affecting the TME through m6a-dependent down-regulation and ultimately promoting immune escape of CRC.

Long non-coding RNA Hotair promotes gastric cancer progression via miR-217-GPC5 axis.

AIMS: The oncogenic role of lncRNA Hotair has been acknowledged in subset of malignancies, including gastric cancer (GC). However, the detailed molecular mechanisms that contribute to its oncogenic role of are largely elusive. This study was designed to explore the underlying mechanism that contributes the regulatory role of Hotair in GC pathogenesis and progression. MAIN METHODS: Expression pattern of lncRNAs in GC tissues and adjacent normal tissues were identified by using microarray analysis. The cell proliferation of GC cells was examined by CCK-8 assay and colony formation assay, while migration and invasion capabilities of GC cells were examined by Transwell (with or without Matrigel) assay. Cell apoptosis was examined by Flow cytometer. qRT-PCR and western blotting were used to examine the expression of Hotair, miR-217, and other related genes. The potential target relationships were predicted by miRcode algorithm, and validated by dual luciferase reporter gene assay. KEY FINDINGS: We observed that Hotair was frequently up-regulated in GC tissues and cell lines, and high Hotair level was positively correlated with poor prognosis in GC patients. Knockdown of Hotair inhibited GC cells' viability, migration, invasion, Epithelial mesenchymal transition process. MiR-217 was decreased while GCP5 was increased in GC cells. Hotair negatively regulated the expression of miR-217 in GC while miR-217 targeted GCP5 to down-regulate its expression. Hotair promoted GC development by promoting GCP5 expression via sponging miR-217. SIGNIFICANCE: Hotair could serve as a potentially prognostic indicator and provide new light into its underlying biological-molecular mechanism in GC.

HOTAIR enhanced paclitaxel and doxorubicin resistance in gastric cancer cells partly through inhibiting miR-217 expression.

Drug resistance is a big obstacle for clinical anti-tumor treatment outcome. However, the role of HOTAIR in drug resistance in gastric cancer (GC) remains unknown. In this study, we showed that overexpression of HOTAIR enhanced paclitaxel and doxorubicin resistance in GC cells. Furthermore, the expression of HOTAIR was upregulated in GC tissues and higher expression of HOTAIR was associated with late stage. In addition, we showed that miR-217 expression was lower in GC tissues compared with the paired non-tumour tissues and downregulated expression of miR-217 was correlated with late stage. Interestingly, the expression of miR-217 was negatively correlated with HOTAIR expression in GC tissues. Ectopic expression of HOTAIR increased GC cell proliferation, cell cycle, and migration. Elevated expression of HOTAIR suppressed miR-217 expression and enhanced GPC5 and PTPN14 expression. Furthermore, we demonstrated that overexpression of miR-217 suppressed paclitaxel and doxorubicin resistance in GC cells. Ectopic expression of HOTAIR promoted drug resistance and increased GC cell proliferation, cell cycle, and migration by targeting miR-217. These data suggested that overexpression of HOTAIR enhanced paclitaxel and doxorubicin resistance in GC cells through inhibiting miR-217 expression.

MiR-330-3p inhibits gastric cancer progression through targeting MSI1.

Increasing evidences demonstrated that microRNAs (miRNAs) play critical roles in the human tumor development and progression. In our study, we found that miR-330-3p expression was downregulated in gastric cancer cell lines and tissues. Ectopic expression of miR-330-3p suppressed the gastric cancer cell proliferation, colony formation and migration. Overexpression of miR-330-3p promoted E-cadherin expression and inhibited the expression of N-cadherin, vimentin and snail. We identified Musashi-1 (MSI1) as a direct target gene of miR-330-3p in gastric cancer cell. In addition, MSI1 was upregulated in gastric cancer cell lines and tissues and the MSI1 expression was inversely correlated with miR-330-3p expression in gastric cancer tissues. MiR-330-3p expression was increased in gastric cancer cells after treated with histone deacetylase inhibitor trichostatin A (TSA) and DNA methylation inhibitor 5-aza-CdR (AZA). These indicated that downregulated expression of miR-330-3p was partly mediated by gene promoter region hypermethylation. These results suggested that miR-330-3p acted as a tumor suppressor gene in GC.

Finding gastric cancer related genes and clinical biomarkers for detection based on gene-gene interaction network.

BACKGROUND/OBJECTIVE: Gastric cancer (GC) is the second leading cause of death resulted from cancer globally. The most common cause of GC is the infection of Helicobacter pylori, approximately 11% of cases are caused by genetic factors. The objective of this study was to develop an effective computational method to meaningfully interpret these GC-related genes and to predict potential prognostic genes for clinical detection. METHODS: We employed the shortest path algorithm and permutation test to probe the genes that have relationship with known GC genes in gene-gene interaction network. We calculated the enrichment scores of gene ontology and pathways of gastric cancer related genes to characterize these genes in terms of molecular features. The optimal features that primly representing the gastric cancer related genes were selected using Random Forest classification and incremental feature selection. Random Forest classification was also used for the prediction of the novel gastric cancer related genes based on the selected features and the identification of novel prognostic genes based on the expression of genes. RESULTS: Based on the shortest path analysis of 36 known GC genes, 39 genes occurring in shortest path were identified as GC-related genes. In subsequent classification, 4153 gene ontology terms and 157 pathway terms were identified as the optimal features to depict these gastric cancer related genes. Based on them, a total of 886 genes were predicted as related genes. These 886 genes could serve as expression biomarkers for clinical detection and they achieved a 100% accuracy for distinguishing gastric cancer from a case-control dataset, better than any of 886 random selected genes did. CONCLUSION: By analyzing the features of known GC-related genes, we employed a systematic method to predict gastric cancer related genes and novel prognostic genes for accurate clinical detection.