Neergaardstorgaard2077

The genetics and epigenetic analysis indicated that SLC6A1 expression was negatively correlated with DNA methylation. Immune infiltration analysis showed a negative relation between SLC6A1 and T cell exhaustion/monocyte in liver cancer tissues.

In summary, the study revealed that miR-212-3p/SLC6A1 axis could serve as a crucial therapeutic target for HCC.

In summary, the study revealed that miR-212-3p/SLC6A1 axis could serve as a crucial therapeutic target for HCC.

To assess the value of radiomics based on multiphases contrast-enhanced magnetic resonance imaging (CE-MRI) for early prediction of pathological complete response (pCR) to neoadjuvant therapy (NAT) in patients with human epithelial growth factor receptor 2 (HER2) positive invasive breast cancer.

A total of 127 patients with newly diagnosed primary HER2 positive invasive breast cancer underwent CE-MRI before NAT and performed surgery after NAT. Radiomic features were extracted from the 1

postcontrast CE-MRI phase (CE

) and multi-phases CE-MRI (CE

),respectively. With selected features using a forward stepwise regression, 23 machine learning classifiers based on CE

and CE

were constructed respectively for differentiating pCR and non-pCR patients. The performances of classifiers were assessed and compared by their accuracy, sensitivity, specificity and AUC (area under curve). The optimal machine learning classification was used to discriminate pCR vs non-pCR in mass and non-mass groups, uni-focal and unilateral multi-focal groups, respectively.

For the task of pCR classification, 6 radiomic features from CE

and 6 from CE

were selected for the construction of machine learning models, respectively. The linear SVM based on CE

outperformed the logistic regression model using CE

with an AUC of 0.84 versus 0.69. In mass and non-mass enhancement groups, the accuracy of linear SVM achieved 84% and 76%. Whereas in unifocal and unilateral multifocal cases, 79% and 75% accuracy were achieved by linear SVM.

Multiphases CE-MRI imaging may offer more heterogeneity information in the tumor and provide a non-invasive approach for early prediction of pCR to NAT in patients with HER2-positive invasive breast cancer.

Multiphases CE-MRI imaging may offer more heterogeneity information in the tumor and provide a non-invasive approach for early prediction of pCR to NAT in patients with HER2-positive invasive breast cancer.

To retrospectively evaluate the risk factors and the clinical outcomes of bile duct injury after transcatheter arterial chemoembolization (TACE) for hepatocellular carcinoma (HCC) and to evaluate factors that aid clinical detection and subsequent treatment of the injured bile duct.

All patients undergoing TACE for HCC were retrospectively reviewed for identification of bile duct injury. The clinical spectrum of all the patients analyzed including patients' demographics, laboratory data, radiologic imaging and mode of treatment.

From January 2015 to December 2017, a total of 21 patients (4.3%) out of 483 patients with 693 TACE procedures were identified to have bile duct injury at our single institution. There were 17 males and 4 females, with a mean age of 59.8±11.6 years (range 34-84). About 14.3% (3/21) patients show the high-density shadow around the bile duct wall in one week non-enhanced CT, and 76.2% (16/21) cases ALP>200 U/L, all these patients showed bile duct injury on the subsequent follow- of serious complications. The probability of bile duct injury in patients with prior hepatectomy and proximal arterial chemoembolization increases significantly.

200 U/L in one week after TACE can predict bile duct injury and early intervention may prevent the occurrence of serious complications. The probability of bile duct injury in patients with prior hepatectomy and proximal arterial chemoembolization increases significantly.

Increasing evidence indicates that circular RNAs (circRNAs) act as vital regulators in various cancers. Nevertheless, the effect of circCSNK1G1 on gastric cancer (GC) is still unknown.

The mRNA levels of circCSNK1G1, miR-758, and ZNF217 were measured by RT-qPCR. The protein levels of ZNF217 were evaluated by Western blotting. Cell migration, invasion, proliferation, and apoptosis were detected by Transwell, CCK-8, and flow cytometry assays. The association between miR-758 and circCSNK1G1/ZNF217 was confirmed by RIP and luciferase reporter assays. Xenograft assay was employed for in vivo experiment.

In the current study, it was demonstrated that the expression levels of circCSNK1G1 and ZNF217 were upregulated in GC tissues and cells, while the level of miR-758 was declined. Furthermore, functional assays indicated that circCSNK1G1 depletion suppressed GC progression in vitro and in vivo. In addition, circCSNK1G1 directly interacted with miR-758, and the supplementation of miR-758 suppressed the development of GC, which was abolished following pcDNA3.1-circCSNK1G1 transfection. Entinostat mouse Then, we explored the downstream mechanism of miR-758 and found that miR-758 could target the 3'UTR of ZNF217 mRNA. The overexpression of miR-758 neutralized the ZNF217-mediated effects on facilitating the progression of GC. Finally, we revealed that circCSNK1G1 could upregulate ZNF217 expression by sponging miR-758 in GC cells.

Our study revealed that circCSNK1G1 accelerated GC progression via the miR-758/ZNF217 axis, suggesting that circCSNK1G1 might be a potential biomarker for GC diagnosis and treatment.

Our study revealed that circCSNK1G1 accelerated GC progression via the miR-758/ZNF217 axis, suggesting that circCSNK1G1 might be a potential biomarker for GC diagnosis and treatment.

Stomach adenocarcinoma (STAD) is the most common gastrointestinal cancer and is associated with high mortality worldwide. Endothelin receptor type A (EDNRA) is associated with guanine-nucleotide-binding (G) proteins and plays important roles in cellular processes and various diseases.

To investigate the prognosis value of EDNRA expression and its correlation with immune infiltrates in patients with STAD.

The association between clinical characteristics and EDNRA expression in STAD was analyzed using the Wilcoxon signed-rank test and logistic regression. The Kaplan-Meier plotter analysis and Cox regression were constructed to evaluate the influence of EDNRA on prognosis, and a receiver operating characteristic (ROC) curve and nomogram were constructed. Gene set enrichment analysis (GSEA) and single-sample gene set enrichment analysis (ssGSEA) were conducted to analyze the correlation between EDNRA and immune infiltrates. In addition, Oncomine, TIMER databases and qRT-PCR of STAD cell lines were used to verify the EDNRA expression in STAD.