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Therefore, the results of the present study suggested that pectolinarigenin may serve a pivotal role in promoting melanoma cell apoptosis and reducing metastasis, and may thus be a promising potential candidate for an anti-melanoma treatment strategy.Gastric cancer is a leading cause of cancer-associated deaths worldwide and is considered to be an age-related disease. In younger patients, gastric cancer is biologically more aggressive, and prognosis is worse compared with that in elderly patients. In the present case report, the whole genome and transcriptome was sequenced in a 26-year-old patient with gastric cancer who presented with gastric cancer-related symptoms and was admitted to the First Affiliated Anhui Medical Hospital (Hefei, China) in December 2016. In total, 9 germline and 4 somatic mutations were identified in the patient, and there were more deleterious sites in the germline mutated genes. Genes with somatic mutations, such as MUC2, MUC4, SLC8A2, and with structural variations, including CCND3, FGFR2 and FGFR3, were found to be differentially expressed. Cancer-associated pathways, such as the 'calcium signaling pathway', 'cGMP-PKG signaling pathway' and 'transcriptional mis-regulation' were also enriched at both the genomic and transcriptomic levels. The genes found to have germline (SFRP4), somatic (MUC2, MUC4, SLC8A2) mutations, or structural variations (CCND3, FGFR2 and FGFR3) were differentially expressed in the patient and could be promising precision therapy targets.Colorectal cancer (CRC) is the third leading cause of cancer-associated mortality. The present study aimed to investigate novel biomarkers to predict prognosis and provide a theoretical basis for studies of the pathogenesis and the development of therapies for CRC. The present study compared mRNA expression levels of patients with CRC with short- and long-term prognosis and of individuals with and without tumors in The Cancer Genome Atlas (TCGA) database. Differentially expressed genes (DEGs) were identified via volcano plot and Venn diagram analysis. Gene Ontology (GO) analysis and gene set enrichment analysis (GSEA) were performed to identify the functions of the DEGs, and the DEGs were further verified using clinical CRC samples. A total of 10 DEGs were identified as candidate genes using the TCGA database, and four DEGs [defensin β 4A (DEFB4A), hyaluronan binding protein 2 (HABP2), oleoyl-ACP hydrolase and TBC1 domain family member 3G] were associated with poor prognosis of patients with CRC. Two DEGs (DEFB4A and HABP2) were upregulated in tumor tissues of patients with CRC in the TCGA database. GO and GSEA analyses revealed that DEFB4A was highly associated with immunosuppression, participates in 'myeloid leukocyte differentiation', 'leukocyte proliferation' and 'positive regulation of leukocyte-mediated immunity', and was positively correlated with CD11b, CD14, CD45, CD163 and IL17A. Furthermore, DEFB4A expression was significantly upregulated in patients with large tumors, advanced cancer stage, lymph node metastasis and liver metastasis. read more Survival analysis revealed that DEFB4A upregulation was associated with poor prognosis. DEFB4A gene knockdown experiments demonstrated that DEF4BA promotes cell migration. These results indicated that DEFB4A potentially promotes tumor growth by regulating immunosuppressive activity and provided novel insights into the diagnosis and treatment of CRC.The diagnosis of squamous cell carcinoma requires the accurate classification of cervical squamous lesions in the ThinPrep cytologic test (TCT). It primarily relies on a pathologist's interpretation under a microscope. Deep convolutional neural networks (DCNN) have played an increasingly important role in digital pathology. However, they have not been applied to diverse datasets and externally validated. In the present study, a DCNN model based on VGG16 and an ensemble training strategy (ETS) based on 5-fold cross-validation was employed to automatically classify normal and abnormal cervical squamous cells from a multi-center dataset. First, we collected a dataset comprising 82 TCT samples from four hospitals and fine-tuned our model twice on the dataset with and without the ETS. Then, we compared the classifications obtained from the models with those provided by two skilled pathologists to discriminate the performance of the models in terms of classification accuracy and efficiency. Finally, paired sample t-tests were used to validate the consistency between the classification provided by the proposed methods and that of the pathologists. The results showed that ETS slightly, though not significantly, improved the classification accuracy compared with that of the pathologists P0=0.387>0.05 (DCNN without ETS vs. DCNN with ETS), P1=0.771>0.05 (DCNN with ETS vs. pathologist 1), P2=0.489>0.05 (DCNN with ETS vs. pathologist 2). The DCNN model was almost 6-fold faster than that of the pathologists. The accuracy of our automated scheme was similar to that of the pathologists, but a higher efficiency in the accurate identification of cervical squamous lesions was provided by the scheme. This result allows for wider and more efficient screening and may provide a replacement for pathologists in the future. Future research should address the viability of the practical implementation of such DCNN models in the laboratory setting.Our previous study found that hydrogen gas (H2) could efficiently inhibit lung cancer progression; however, the underlying mechanisms still remains to be elucidated. The present study aimed to explore the roles of H2 in lung cancer cell autophagy, and reveal the effects of autophagy on H2-mediated lung cancer cell apoptosis and the underlying mechanisms. The expression levels of proteins associated with cell apoptosis and autophagy were detected using western blot analysis. Cell autophagy was inhibited by 3-methyladenine treatment or Beclin1 downregulation, while rapamycin was used to induce autophagy. Cell growth and apoptosis were detected using the Cell Counting Kit-8 and flow cytometry assays, respectively. The results demonstrated that cell apoptosis and autophagy were significantly enhanced in the A549 and H1975 lung cancer cell lines treated with H2. However, autophagy enhancement weakened H2 roles in promoting cell apoptosis and vice versa. In addition, it was found that H2 treatment induced marked decreases in the protein expression levels of phosphorylated STAT3 and Bcl2, and overexpression of STAT3 abolished H2 roles in promoting cell apoptosis and autophagy.
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