Background: Defective autophagy is thought to contribute to the pathogenesis of many diseases, including cancer. Human plasmacytoma variant translocation 1 (PVT1) is an oncogenic long non-coding RNA that has been identified as a prognostic biomarker in pancreatic ductal adenocarcinoma, but how PVT1 operates in the regulation of autophagy in pancreatic ductal adenocarcinoma (PDA) is unclear. Methods: PVT1 expression level was detected by quantitative real-time polymerase chain reaction (qRT-PCR) and hybridization in situ (ISH). Western blot or qRT-PCR was performed to assess the ULK1 protein or mRNA level. Autophagy was explored via autophagic flux detection under a confocal microscope and autophagic vacuoles investigation under a transmission electron microscopy (TEM). The biological role of PVT1 in autophagy and PDA development was determined by gain-of-function and loss-of-function assays. Results: We found that PVT1 levels paralleled those of ULK1 protein in PDA cancer tissues. PVT1 promoted cyto-protective autophagy and cell growth by targeting ULK1 both in vitro and in vivo. Moreover, high PVT1 expression was associated with poor prognosis. Furthermore, we found that PVT1 acted as sponge to regulate miR-20a-5p and thus affected ULK1 expression and the development of pancreatic ductal adenocarcinoma. Conclusions: The present study demonstrates that the “PVT1/miR-20a-5p/ULK1/autophagy” pathway modulates the development of pancreatic ductal adenocarcinoma and may be a novel target for developing therapeutic strategies for pancreatic ductal adenocarcinoma.

Exosomes derived from Mesenchymal Stem Cells (MSCs) possesses similar immunomodulatory effect as MSCs. It had been suggested that MSCs exosomes contain higher level of miR-1470 compared to exosomes derived from fibroblast. Here, we show that MSCs exosomal miR-1470 can elevate the proportion of CD4+CD25+FOXP3+ regulatory T cells (Tregs) in asthmatic patients. Moreover, mechanistic studies revealed that miR-1470 can promote the upregulation of P27KIP1 by directly targeting the 3' region of c-Jun mRNA. Furthermore, miR-1470 mimic transfection could significantly upregulate the proportion of CD4+CD25+FOXP3+ Tregs in CD4+ T cells. P27KIP1 knockdown via siRNA silencing significantly inhibited the proportion of CD4+CD25+FOXP3+ Tregs with over-expression of miR-1470, which indicates that miR-1470 induces the differentiation of CD4+CD25+FOXP3+ Tregs through P27KIP1.

Pancreatic carcinogenesis is a complicated and multi-step process. It is substantially assisted by N6-methyladenosine (m⁶A) RNA modification, especially when mutations of driver genes (KRAS, TP53, CDKN2A, and SMAD4) occur. However, the underlying mechanism remains obscure. In this research, we identified m⁶A regulators as potential biomarkers when mutations of driver genes occur, and investigated the role of these m⁶A candidates in pancreatic ductal adenocarcinoma (PDA). We first estimated the abnormal expression patterns of potential m⁶A regulators when all the driver genes are mutated, using The Cancer Genome Atlas and Gene Expression Omnibus databases. METTL16, an m⁶A“writer,” was chosen as a unique candidate of PDA, owing to its markedly differential expression under mutations of all driver genes (KRAS, TP53, CDKN2A, and SMAD4) and its favorable prognostic value. Moreover, METTL16 was under-expressed in PDA tissues and cell lines. Consistently, gain- and loss-of-function experiments indicated that it had a tumor suppressor role in vitro and in vivo. Further, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses revealed that METTL16 may have an effect on the tumor microenvironment. Notably, a markedly positive association between METTL16 expression and infiltration of B cells and CD8⁺ T cells was observed according to the CIBERSORT and TIMER databases. Enhanced expression of immune checkpoints and cytokines was elicited in patients with over-expression of METTL16. Notably, decreased expression of PD-L1 was observed when upregulation of METTL16 expression occurred in MIA PaCa-2 cells, while increased expression of PD-L1 existed when downregulation of METTL16 happened in HPAF-II cells. Collectively, these findings highlight the prognostic value of METTL16, and indicate that it is a potential immunotherapy target that could be used to regulate the tumor microenvironment and promote antitumor immunity in PDA.

Emerging evidence has demonstrated that circular RNAs (circRNAs) take part in the initiation and development of pancreatic ductal adenocarcinoma (PDA), a deadly neoplasm with an extremely low 5-year survival rate. Reprogrammed glucose metabolism is a key feature of tumour development, including PDA. In this research, we evaluated the role of circRNAs in reprogrammed glucose metabolism in PDA. RNA sequencing under various glucose incubation circumstances was performed. A new circMYOF was identified. Sanger sequencing and RNase R treatment confirmed its circular RNA characteristics. Real-time PCR indicated that it was highly expressed in PDA clinical specimens and cell lines. Gain-of- and loss-of-function assays showed that circMYOF induced progression in PDA. Mechanistically, RNA pull-down and luciferase reporter experiments elucidated that circMYOF, as a competing endogenous RNA for miR-4739, facilitated glycolysis via the VEGFA/PI3K/AKT pathway. Taken together, our findings indicate that circMYOF may work as a desirable biomarker and therapeutic target for PDA patients.

Hepatocellular carcinoma (HCC) is characterized by extensive risk factors, high morbidity and mortality. Clinical prognostic evaluation assay assumes a nonspecific quality. Better HCC prognostics are urgently needed. Long noncoding RNAs (lncRNAs) exerts a crucial role in tumorigenesis and development. Excavating specific lncRNAs signature to ameliorate the high-risk survival prediction in HCC patients is worthwhile. Differentially expressed lncRNAs (DElncRNAs) profile was acquired from The Cancer Genome Atlas database (TCGA). Then, the lncRNAs high-risk survival prognostic model was established using the least absolute shrinkage and selection operator (LASSO)-Cox regression algorithm. The lncRNAs were evaluated in clinical specimen by PCR. The receiver operating characteristic curve (ROC) analysis was further conducted to assess the potential prognostic value of the model. Moreover, a visible nomogram containing clinicopathological features and prognostic model was developed for prediction of survival property. Potential molecular mechanism was assessed by GO, KEGG, GSEA enrichment analysis and CIBERSORT immune infiltration analysis. A novel 7-lncRNA risk model (AL161937.2, LINC01063, AC145207.5, POLH-AS1, LNCSRLR, MKLN1-AS, AC105345.1) was constructed and validated for HCC prognosis prediction. Kaplan-Meier analysis revealed that patients in the high-risk group suffered a poor prognosis (p = 1.813 × 10⁻⁸). These genes were detected by PCR, and the expression trend was in accordance with TCGA database. Interestingly, the risk score served as an independent risk factor for HCC patients (HR: 1.166, 95% CI:1.119–1.214, p < 0.001). The nomogram was established, and the predictive accuracy in the nomogram was prior to the TNM stage according to the ROC curve analysis. Cell proliferation related pathway, decreased CD4⁺ T cell, CD8⁺ T cell, NK cell and elevated Neutrophil, Macrophage M0 were observed in high-risk group. Besides, suppression of MKLN1-AS expression inhibited cell proliferation of HCC cells by CCK8 assay in vitro. The 7-lncRNA signature may exert a particular prognostic prediction role in HCC and provide new insight in HCC carcinogenesis.

Early metastasis and resistance to traditional therapy are responsible for the poor prognosis of pancreatic adenocarcinoma patients. Metal-dependent protein phosphatases (PPMs) have been proven to play a crucial role in the initiation and progression of various tumors. Nevertheless, the expression and function of distinct PPMs in pancreatic adenocarcinoma have not been fully elucidated. In this study, we investigated the mRNA expression level, prognostic value, and the relationship between the expression of PPMs and the tumor microenvironment in pancreatic adenocarcinoma using Oncomine, TCGA and GTEx, GEO, Kaplan–Meier plotter, STRING, GeneMANIA, and HPA databases and R packages. GO and KEGG analysis revealed that PPMs and their differential co-expression genes are attributed to cell–cell adhesion and immune cell infiltration. Among these, PPM1K was downregulated in the tissue and peripheral blood of PAAD patients, whose expression level was negatively related to poor prognosis. Further to this, PPM1K was found to play a role in the epithelial–mesenchymal transition and immune infiltration. ROC curves showed that PPM1K had a good predictive value for pancreatic adenocarcinoma. The knockdown of PPM1K markedly promoted the proliferation and migration of pancreatic cancer cells, confirming its role in tumor suppressor activity in PAAD. This study demonstrates the potential clinical utility of PPM1K in tumor immunotherapy and brings about novel insights into the prognostic value of PPM1K in pancreatic adenocarcinoma.