LncRNAs can exhibit crucial roles in the development of multiple cancers, including non-small cell lung cancer (NSCLC). Currently, we investigated the role of lncRNA H19 in NSCLC. In our study, it was found that H19 was upregulated in A549 and H1299 cells compared to normal lung epithelial BEAS-2B cells. Meanwhile, we observed that miR-17 was downregulated in NSCLC cell lines. Inhibited H19 can suppress the growth, migration, and invasion of NSCLC cells and bioinformatics search was performed to predict the correlation between H19 and miR-17. Overexpression of miR-17 was able to inhibit the progression of NSCLC cells while reversely miR-17 inhibitors reversed this process. In addition, signal transducers and activators of transcription (STAT3), as an mRNA target of miR-17, was presented in our research. Moreover, we discovered that H19 demonstrated its biological functions via regulating miR-17 and STAT3 in vitro. Silencing H19 greatly increased STAT3 expression by sponging miR-19 in vitro. It was hypothesized that H19 may serve as a competing endogenous RNA (ceRNA) to modulate STAT3 by attaching miR-17 in lung cancer. In summary, our findings indicated that H19/miR-17/STAT3 axis participated in NSCLC development. H19 could be regarded as a significant prognostic biomarker in NSCLC progression.

Cardiac fibrosis is closely related to multiple cardiovascular system diseases, and noncoding RNAs (ncRNAs), including long noncoding RNA (lncRNA) and microRNA (miRNA), have been reported to play a vital role in fibrogenesis. The present study aims to investigate the potential regulatory mechanism of lncRNA H19 and miR-455 on fibrosis-associated protein synthesis in cardiac fibroblasts (CFs). miRNA microarray assay revealed 34 significantly dysregulated miRNAs, including 13 upregulated miRNAs and 21 downregulated miRNAs. Among these aberrantly expressed miRNAs, we paid attention to miR-455, which was significantly downregulated in diabetic mouse myocardium and Ang II-induced CFs. Loss- and gain-of-function experiments showed that miR-455 expression levels were negatively correlated with collagen I and III expression in Ang II-induced CFs. Bioinformatic prediction programs (TargetScan, miRanda, starBase) predicted that miR-455 targeted connective tissue growth factor (CTGF) and H19 with complementary binding sites at the 3'-untranslated region, which was validated by luciferase reporter assay. Functional validation assay demonstrated that H19 knockdown could enhance the antifibrotic role of miR-455 and attenuate the CTGF expression and further decrease fibrosis-associated protein synthesis (collagen I, III, and α-SMA). The present study reveals a novel function of the H19/miR-455 axis targeting CTGF in cardiac fibrosis, suggesting its potential therapeutic role in cardiac diseases.

Long noncoding RNAs (LncRNAs) have been identified in multiple human cancer types, including lung cancer. An increasing number of studies have indicated that lncRNAs can function as important gene regulators. However, the biological mechanism of LINC00961 in lung cancerremains poorly understood. In our current study, we recognized lncRNA LINC00961, and we observed that it was significantly reduced in human non-small cell lung cancer (NSCLC) tissues. LINC00961 was elevated by infecting LV-LINC00961, while decreased by LV-shLINC00961 in H226 and A549 cells. Furthermore, it was shown that LINC00961 overexpression greatly inhibited lung cancer cell proliferation, whereas downregulated LINC00961 induced cell proliferation. In addition, further experiments showed that restoration of LINC00961 could dramatically increase apoptotic ratios of NSCLC H226 and A549 cells, and knockdown of LINC00961 exhibited an opposite effect. Moreover, Western blot analysis showed that upregulation of LINC00961 repressed proliferating cell nuclear antigen expression and increased Bax expression, indicating that it acts as an important pro-apoptosis gene. Conversely, inhibition of LINC00961 induced proliferating cell nuclear antigen expression and restrained Bax protein levels. Taking these together, LINC00961 might play a tumor suppressive role in NSCLC progression, and it could serve as a novel prognostic biomarker in NSCLC diagnosis and treatment.

Medical image classification plays an important role in disease diagnosis since it can provide important reference information for doctors. The supervised convolutional neural networks (CNNs) such as DenseNet provide the versatile and effective method for medical image classification tasks, but they require large amounts of data with labels and involve complex and time-consuming training process. The unsupervised CNNs such as principal component analysis network (PCANet) need no labels for training but cannot provide desirable classification accuracy. To realize the accurate medical image classification in the case of a small training dataset, we have proposed a light-weighted hybrid neural network which consists of a modified PCANet cascaded with a simplified DenseNet. The modified PCANet has two stages, in which the network produces the effective feature maps at each stage by convoluting inputs with various learned kernels. The following simplified DenseNet with a small number of weights will take all feature maps produced by the PCANet as inputs and employ the dense shortcut connections to realize accurate medical image classification. To appreciate the performance of the proposed method, some experiments have been done on mammography and osteosarcoma histology images. Experimental results show that the proposed hybrid neural network is easy to train and it outperforms such popular CNN models as PCANet, ResNet and DenseNet in terms of classification accuracy, sensitivity and specificity. INDEX TERMS Medical image classification, hybrid neural network, PCANet, DenseNet.

Colorectal cancer is associated with changed IgG glycosylation, but the alteration in specific subclasses of IgG is unknown.

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BackgroundAs the incidence of gastric cancer (GC) increases sharply in adults aged over 40 years, screening of this high-risk population is important. This study aimed to explore knowledge level of GC related risk factors and symptoms, and to identify influencing factors associated with intention toward GC screening among people aged 40 years old and above in China.MethodsA cross-sectional, web-based survey was conducted among people aged 40 years old and above between October 2021 and March 2022 in Southeastern China. The participants' knowledge was assessed by a series of questions about risk factors (24-item scale) and warning symptoms (14-item scale).ResultsA total of 2547 complete responses were received. The mean age was 47.72 (±7.20) years and near 60% were male. Respondents had a moderate level of knowledge about risk factors and warning symptoms of GC. The total mean knowledge score was 23.9 (±9.8) out of a possible score of 38. Majority (80%) of respondents reported intention to be screened for GC in the next 5 years. The most influential predictors of screening intention were income level (OR = 2.13, 95% CI: 1.36–3.32), perceived benefits (OR = 1.99, 95% CI: 1.33–2.73), perceived severity (OR = 1.68, 95% CI: 1.20–2.34), ever took GC screening (OR = 1.63, 95% CI: 1.28–2.08), perceived poor overall health (OR = 1.59, 95% CI: 1.19–2.11), and perceived barriers (OR = 1.56, 95% CI: 1.17–2.09). Other significant factors were ever diagnosed with chronic gastric diseases, total knowledge score, and cues-to-action. The major reasons for not willing to take screening were “endoscopy is uncomfortable” (29.6%), “worry about screening results” (23.6%), and “have no symptoms” (21.3%).ConclusionHigh-risk population aged 40 years and above expressed high intention to receive GC screening. Intervention to improve health promotion and reduce the barriers to uptake of GC screening among high-risk populations in China is warranted.