Pancreatic stellate cell-derived exosomal tRF-19-PNR8YPJZ promotes proliferation and mobility of pancreatic cancer through AXIN2.

The pancreatic stellate cells (PSCs) play an important role in the development of pancreatic cancer (PC) through mechanisms that remain unclear. Exosomes secreted from PSCs act as mediators for communication in PC. This study aimed to explore the role of PSC-derived exosomal small RNAs derived from tRNAs (tDRs) in PC cells. Exosomes from PSCs were extracted and used to detect their effects on PC cell proliferation, migration and invasion. Exosomal tDRs profiling was performed to identify PSC-derived exosomal tDRs. ISH and qRT-PCR were used to examine the tRF-19-PNR8YPJZ levels and clinical value in clinical samples. The biological function of exosomal tRF-19-PNR8YPJZ was determined using the CCK-8, clone formation, wound healing and transwell assays, subcutaneous tumour formation and lung metastatic models. The relationship between the selected exosomal tRF-19-PNR8YPJZ and AXIN2 was determined by RNA sequencing, luciferase reporter assay. PSC-derived exosomes promoted the proliferation, migration, and invasion of PC cells. Novel and abundant tDRs are found to be differentially expressed in PANC-1 cells after treatment with PSC-derived exosomes, such as tRF-19-PNR8YPJZ. PC tissue samples showed markedly higher levels of tRF-19-PNR8YPJZ than normal controls. Patients with PC exhibiting high tRF-19-PNR8YPJZ expression had a highly lymph node invasion, metastasis, perineural invasion, advanced clinical stage and poor overall survival. Exosomal tRF-19-PNR8YPJZ from PSCs targeted AXIN2 in PC cells and decreased its expression, thus activating the Wnt pathway and promoting proliferation and metastasis. Exosomal tRF-19-PNR8YPJZ from PSCs promoted proliferation and metastasis in PC cells via AXIN2.

An inflammation-associated ferroptosis signature optimizes the diagnosis, prognosis evaluation and immunotherapy options in hepatocellular carcinoma.

Inflammation and ferroptosis crosstalk complexly with immune microenvironment of hepatocellular carcinoma (HCC), thus affecting the efficacy of immunotherapy. Herein, our aim was to identify the inflammation-associated ferroptosis (IAF) biomarkers for contributing HCC. A total of 224 intersecting DEGs identified from different inflammation- and ferroptosis-subtypes were set as IAF genes. Seven of them including ADH4, APOA5, CFHR3, CXCL8, FTCD, G6PD and PON1 were used for construction of a risk model which classified HCC patients into two groups (high and low risk). HCC patients in the high-risk group exhibited shorter survival rate and higher immune score, and were predicted to have higher respond rate in immune checkpoint inhibition (ICI) therapy. Levels of the seven genes were significantly changed in HCC tissues in comparison to adjacent tissues. After inserting the gene expression into the risk model, we found that the risk model exhibited the higher diagnostic value for distinguish HCC tissues compared each single gene. Furthermore, HCC tissues from our research group with high-risk score exhibited more cases of microsatellite instability (MSI), heavier tumour mutational burden (TMB), higher expression level of PDL1 and cells with CD8. Knockdown of APOA5 reduced HCC cell proliferation combining with elevating inflammation and ferroptosis levels. In conclusion, we considered APOA5 maybe a novel target for suppressing HCC via simultaneously elevating inflammation and ferroptosis levels, and signature constructed by seven IAF genes including ADH4, APOA5, CFHR3, CXCL8, FTCD, G6PD and PON1 can act as a biomarker for optimising the diagnosis, prognosis evaluation and immunotherapy options in HCC patients.

A specific immune signature for predicting the prognosis of glioma patients with IDH1-mutation and guiding immune checkpoint blockade therapy.

Isocitrate dehydrogenase (IDH1) is frequently mutated in glioma tissues, and this mutation mediates specific tumor-promoting mechanisms in glioma cells. We aimed to identify specific immune biomarkers for IDH1-mutation (IDH1mt) glioma. The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA) were used to obtain RNA sequencing data and clinical characteristics of glioma tissues, while the stromal and immune scores of TCGA glioma tissues were determined using the ESTIMATE algorithm. Differentially expressed genes (DEGs), the protein-protein interaction(PPI) network, and least absolute shrinkage and selection operator (LASSO) and Cox regression analyses were used to select hub genes associated with stroma and immune scores and the prognoses of patients and to construct the risk model. The practicability and specificity of the risk model in both IDH1mt and IDH1-wildtype (wtIDH1) gliomas in TCGA and CGGA were evaluated. Molecular mechanisms, immunological characteristics and benefits of immune checkpoint blockade therapy in glioma tissues with IDH1mt were analyzed using GSEA, immunohistochemical staining, CIBERSORT, and T-cell dysfunction and exclusion (TIDE) analysis. The overall survival rate for IDH1mt-glioma patients with high stroma/immune scores was lower than that for those with low stroma/immune scores. A total of 222 DEGs were identified in IDH1mt glioma tissues with high stroma/immune scores. Among them, 72 genes had interactions in the PPI network, while three genes, HLA-DQA2, HOXA3, and SAA2, were selected as hub genes and used to construct risk models classifying patients into high- and low-risk score groups, followed by LASSO and Cox regression analyses. This risk model showed prognostic value in IDH1mt glioma in both TCGA and CCGA; nevertheless, the model was not suitable for wtIDH1 glioma. The risk model may act as an independent prognostic factor for IDH1mt glioma. IDH1mt glioma tissues from patients with high-risk scores showed more infiltration of M1 and CD8 T cells than those from patients with low-risk scores. Moreover, TIDE analysis showed that immune checkpoint blockade(ICB) therapy was highly beneficial for IDH1mt patients with high-risk scores. The risk model showed specific potential to predict the prognosis of IDH1mt-glioma patients, as well as guide ICB, contributing to the diagnosis and therapy of IDH1mt-glioma patients.

FUT11 is a target gene of HIF1α that promotes the progression of hepatocellular carcinoma.

Hypoxia promotes the progression of hepatocellular carcinoma. However, the hypoxia regulatory network in hepatocellular carcinoma is known to be limited. Thus, this study aimed to identify the crucial hypoxia-associated genes and to explore their effects and molecular mechanisms in hepatocellular carcinoma cells. FUT11 was first identified as a crucial hypoxia-associated gene through bioinformatics analysis. High FUT11 mRNA levels were positively correlated with poor clinical parameters. FUT11 knockdown under normoxia and hypoxia both decreased hepatocellular carcinoma cell proliferation, colony formation, migration, and invasion. HIF1α binds to the promoter of FUT11 and increases its transcription and co-expression with FUT11 in hepatocellular carcinoma tissues. Overexpression of FUT11 in HIF1α knockdown cells reversed the inhibitory effects of HIF1α suppression on hepatocellular carcinoma cell proliferation and mobility under hypoxia. Therefore, our findings indicate that FUT11 is a key target gene of HIF1α, which can promote the proliferation and mobility of hepatocellular carcinoma cells. FUT11 may be a novel and effective target for blocking the hypoxia response of hepatocellular carcinoma cells.

CDH11 promotes liver fibrosis via activation of hepatic stellate cells.

Liver fibrosis, an important health condition associated with chronic liver injury that provides a permissive environment for cancer development, is characterized by the persistent deposition of extracellular matrix components that are mainly derived from activated hepatic stellate cells (HSCs). CDH11 belongs to a group of transmembrane proteins that are principally located in adherens junctions. CDH11 mediates homophilic cell-to-cell adhesion, which may promote the development of cirrhosis. The goal of this study was to determine whether CDH11 regulates liver fibrosis and to examine its mechanism by focusing on HSC activation. Here we demonstrate that CDH11 expression is elevated in human and mouse fibrotic liver tissues and that CDH11 mediates the profibrotic response in activated HSCs. Our data indicate that CDH11 regulates the TGFß-induced activation of HSCs. Moreover, cells from CDH11 deficient mice displayed decreased HSC activation in vitro, and CDH11 deficient mice developed liver fibrogenesis in response to chronic damage induced by CCl4 administration. In addition, CDH11 expression was positively correlated with liver fibrosis in patients with cirrhosis, and could therefore be a prognostic factor in patients with liver fibrosis. Collectively, our findings demonstrate that CDH11 promotes liver fibrosis by activating HSCs and may represent a potential target for anti-fibrotic therapies.

lncRNA FBXL19-AS1 regulates osteosarcoma cell proliferation, migration and invasion by sponging miR-346.

BACKGROUND: It was recently reported that lncRNA FBXL19 antisense RNA 1 (FBXL19-AS1) is a novel tumor-promoting RNA that contributes to tumor progression by sponging miRNAs. However, the expression and function of FBXL19-AS1 in osteosarcoma (OS) have not been investigated. METHODS: Cell proliferation was assessed by the CCK-8 and colony formation assays, while cell migration and invasion were assessed using wound healing and transwell invasion assays, respectively. Quantitative reverse transcriptase PCR and immunofluorescence were used to detect the level and subcellular localization of FBXL19-AS1 expression. Interactions between miRNAs and FBXL19-AS1 were determined using luciferase reporter assays. Finally, in vivo experiments were performed to assess tumor formation. RESULTS: We first showed that lncRNA FBXL19-AS1 was upregulated in OS tissues and cell lines. In vitro experiments showed that FBXL19-AS1 promoted OS cell proliferation, migration, and invasion. Inhibiting miR-346 led to a significant upregulation of FBXL19-AS1, suggesting FBXL19-AS1 was negatively regulated by miR-346, which was further confirmed by the inverse correlation between FBXL19-AS1 and miR-346 expression in OS patient specimens. Furthermore, we proved that miR-346 could directly target FBXL19-AS1 through luciferase assays, suggesting FBXL19-AS1 could sponge miR-346. Additionally, inhibiting miR-346 blocked the effects of silencing FBXL19-AS1 on proliferation, migration, and invasion. Moreover, inhibiting FBXL19-AS1 significantly promoted the malignancy of MG63 and 143B cells in vivo. CONCLUSION: We validated FBXL19-AS1 as a novel oncogenic lncRNA and demonstrated the molecular mechanism through which it promotes OS progression. This work advances our understanding of the clinical significance of this RNA species.