Sandovalhusted3647
Circular RNAs (circRNAs) are thought to be vital participants in carcinogenesis and have the characteristics of being stable, specific, and well conserved. However, their clinical significance and application value in gastric cancer (GC) are still poorly understood. Hsa_circ_0086720 was found to be a dysregulated circRNA in GC by microarray screening and was further explored for its clinical significance and application.
Hsa_circ_0086720 was detected in GC cell lines, tissues, and plasma, and the clinicopathological correlations were investigated. The existence, stability, origin, and change in the plasma hsa_circ_0086720 level were verified in early GC patients. Moreover, receiver operating characteristic and Kaplan-Meier survival curves were constructed to analyze the diagnostic and prognostic values, and bioinformatics analysis was used to identify the potential functions. Finally, risk factors and nomogram predicting were established.
Hsa_circ_0086720 was found to be downregulated in gastric carcinogenesis, and tissue hsa_circ_0086720 was negatively associated with perineural invasion, Borrmann type, disease-free survival, and overall survival. Hsa_circ_0086720 was stable in circulating plasma and was actively secreted by cells in gastric carcinogenesis. As a biomarker for early GC screening, plasma hsa_circ_0086720 had good sensitivity and specificity, and its stability met the clinical application requirements. Bioinformatics analysis suggested that dysregulated hsa_circ_0086720 has important functions in gastric carcinogenesis. Univariate Cox regression analysis identified factors associated with overall survival time and disease-free survival time. The nomograms showed good accuracy of predicting survival time.
Hsa_circ_0086720 is a novel biomarker for screening early GC and predicting the prognosis of advanced-stage patients.
Hsa_circ_0086720 is a novel biomarker for screening early GC and predicting the prognosis of advanced-stage patients.Organic mixed ionic-electronic conductors (OMIECs) are central to bioelectronic applications such as biosensors, health-monitoring devices, and neural interfaces, and have facilitated efficient next-generation brain-inspired computing and biohybrid systems. Despite these examples, smart and adaptive circuits that can locally process and optimize biosignals have not yet been realized. Here, a tunable sensing circuit is shown that can locally modulate biologically relevant signals like electromyograms (EMGs) and electrocardiograms (ECGs), that is based on a complementary logic inverter combined with a neuromorphic memory element, and that is constructed from a single polymer mixed conductor. It is demonstrated that a small neuromorphic array based on this material effects high classification accuracy in heartbeat anomaly detection. This high-performance material allows for straightforward monolithic integration, which reduces fabrication complexity while also achieving high on/off ratios with excellent ambient p- and n-type stability in transistor performance. This material opens a route toward simple and straightforward fabrication and integration of more sophisticated adaptive circuits for future smart bioelectronics.Limitations in genetic stability and recapitulating accurate physiological disease properties challenge the utility of patient-derived (PD) cancer models for reproducible and translational research. A portfolio of isogenic human induced pluripotent stem cells (hiPSCs) with different pan-cancer relevant oncoprotein signatures followed by differentiation into lineage-committed progenitor cells was genetically engineered. Characterization on molecular and biological level validated successful stable genetic alterations in pluripotency state as well as upon differentiation to prove the functionality of our approach. Meanwhile proposing core molecular networks possibly involved in early dysregulation of stem cell homeostasis, the application of our cell systems in comparative substance testing indicates the potential for cancer research such as identification of augmented therapy resistance of stem cells in response to activation of distinct oncogenic signatures.
Growth differentiation factor-15 (GDF-15) is a member of the transforming growth factor β superfamily, correlated with various stimuli, including cardiovascular disease. The association between plasma GDF-15 level and "lone" AF, that is, AF of unknown etiology (UeAF), is uncertain.
All patients aged 60years or younger. AF patients were hospitalized for primary catheter ablation. Patients with sinus rhythm admitted for other diseases during the same period were included in the control group. ELISA was used to measure plasma GDF-15 concentrations.
60 UeAF patients, 60 paroxysmal AF (PAF) patients, and 70 control patients were enrolled. The mean age was 44.6years. In the UeAF group, no patients had traditional clinical risk factors. The plasma GDF-15level in the UeAF group was (1028.5±180.5) pg/ml, higher than in the control group, and moderately lower than in the PAF group. In all patients, positive correlations were found between plasma GDF-15 level and age (R=0.210, p<0.05), and between plasma GDF-15 level and left atrial diameter (LAD; R=0.338, p<0.05; in the UeAF group R=0.475, p<0.05; in the PAF group R=0.504, p<0.05).
Our study first investigated the role of GDF-15 in UeAF. The plasma GDF-15 level in UeAF patients was higher than in sinus rhythm patients and lower than in PAF patients. Phleomycin D1 manufacturer Moreover, GDF-15 was positively correlated with age and LAD. The role of GDF-15 in UeAF needs further study.
Our study first investigated the role of GDF-15 in UeAF. The plasma GDF-15 level in UeAF patients was higher than in sinus rhythm patients and lower than in PAF patients. Moreover, GDF-15 was positively correlated with age and LAD. The role of GDF-15 in UeAF needs further study.
Lung cancer is one of the most common malignancies globally and a significant component of cancer-related deaths. The lack of early diagnosis accounts for detecting approximately 75% of cancer patients at an intermediate to an advanced stage, with a low 5-year survival rate. Therefore, a more comprehensive understanding of the molecular mechanisms of lung cancer development is necessary to find reliable and effective therapeutic and diagnostic biomarkers.
circ_SAR1A, miR-21-5p, and TXNIP in lung cancer tissues, animal xenografts, and cell lines were validated by qRT-PCR and western blotting analyses. RNase R digestion and nuclear/cytoplasm fractionation experiments were utilized to determine the stability and localization of circ_SAR1A in lung cancer cells. The binding between miR-21-5p and circ_SAR1A or TXNIP was confirmed by luciferase reporter, RNA pull-down, Spearman's correlation, and rescue assays. CCK-8, colony formation, flow cytometry, Transwell, and western blotting were utilized to illustrate the malignant behavior of lung cancer cells.
circ_SAR1A and TXNIP were down-regulated while miR-21-5p was up-regulated in lung cancer samples and cells. circ_SAR1A was located predominantly in the cytoplasm; it inhibited lung cancer growth in vitro and in vivo by sponging to miR-21-5p. miR-21-5p silencing suppressed lung cancer malignancy by targeting TXNIP.
circ_SAR1A is a critical negative regulator of lung carcinogenesis. circ_SAR1A/miR-21-5p/TXNIP attenuation inhibited lung cancer progression, presenting an ideal diagnostic and a potential therapeutic target.
circ_SAR1A is a critical negative regulator of lung carcinogenesis. circ_SAR1A/miR-21-5p/TXNIP attenuation inhibited lung cancer progression, presenting an ideal diagnostic and a potential therapeutic target.
Early diagnosis of pancreatic ductal adenocarcinoma (PDAC) is difficult due to the lack of effective screening tests. CA199, the standard biomarker for PDAC management, is not sufficiently reliable for early diagnosis. This prospective study aimed to evaluate whether circulating tumor cells (CTCs) could complement or perform better than CA199 in determining PDAC.
A total of 168 blood samples were collected from 80 patients with PDAC, 32 patients with acute pancreatitis, 22 patients with benign pancreatic masses, and 34healthy donors. CTCs were detected by a novel system combining negative enrichment with immunostaining and fluorescence in situ hybridization (NE-imFISH). Next, ROC curves and AUC analyses were conducted to assess diagnostic abilities of CA199, CTCs, and the combination of the two biomarkers in PDAC.
CTCs were stained as CD45-/DAPI+/CEP8 ≥3. With 2 CTCs/3.2ml as the cut-off value, the sensitivity/specificity of the CTC number was 0.76/0.94, which was comparable to that of CA199 (0.78/0.83; Delong test p=0.3360). Improved performance was achieved through a logistic regression model integrating CA199 and CTC number (AUC
=0.95, AUC
=0.80, AUC
=0.85; Delong test p
.
<0.0001 and p
.
=0.0002). CTC subtype was inferior to CTC number as a diagnostic marker (AUC
=0.73; Delong test p
.
<0.0001).
The dual-marker panel consisting of CA199 and CTC number can significantly improve upon the diagnostic performance of CA199 alone, highlighting the promising clinical utilization as an effective strategy for PDAC surveillance.
The dual-marker panel consisting of CA199 and CTC number can significantly improve upon the diagnostic performance of CA199 alone, highlighting the promising clinical utilization as an effective strategy for PDAC surveillance.
For investigating the expression of miR-320-3p in children with sepsis-induced acute kidney injury (AKI) and its prognostic value.
A total of 142 patients were grouped into a survival group (n=95) and death group (n=47), which was based on their 28-day survival. Serum degrees of miR-320-3p, neutrophil gelatinase-associated lipid carrier protein (NGAL) and kidney injury molecule-1 (KIM-1) were detected. The Acute Physiology and Chronic Health scoring system Ⅱ (APACHE Ⅱ) marks were recorded. Target gene forecast and functional enrichment discussion of miR-320-3p were performed, and a protein-protein interaction (PPI) network diagram was plotted by applying bioinformatics methods. Multivariate logistic regression, ROC curve and Pearson correlation analysis were applied.
The death group showed greatly higher serum levels of miR-320-3p, KIM-1 and APACHE Ⅱ scores than the survival group (p<0.01). Multivariate logistic regression analysis showed that levels of miR-320-3p, NGAL, KIM-1 and APACHE Ⅱ scores were independent risk elements for death in sepsis children with AKI (p<0.01). According to ROC curve analysis, the region under the curve (0.963, 95% CI 0.908-0.996) of miR-320-3p, NGAL, KIM-1levels and APACHE Ⅱ scores combined to forecast the death of kids suffering from sepsis and AKI were the biggest. According to correlation analysis, the expression degree of serum miR-320-3p in the death group was positively correlated with NGAL, KIM-1 and APACHE Ⅱ scores (all p<0.01).
The expression level of serum miR-320-3p in children with sepsis-induced AKI was significantly increased, and the combination of NGAL, KIM-1 and APACHE Ⅱ scores has good value for prognosis prediction in children.
The expression level of serum miR-320-3p in children with sepsis-induced AKI was significantly increased, and the combination of NGAL, KIM-1 and APACHE Ⅱ scores has good value for prognosis prediction in children.
