Leaf-inspired interwoven carbon nanosheet/nanotube homostructures for supercapacitors with high energy and power densities

Green and scalable synthesis of carbon architectures mimicking a natural leaf with 1D carbon nanotube (CNT) nets and 2D carbon nanosheet (CNS) veins in molten salts are presented.</p

Expression and prognostic value of cell-cycle-associated genes in gastric adenocarcinoma

Abstract Background Gastric carcinoma is a malignant disease, and gastric adenocarcinoma (GAC) is the most common histological type. Molecular profiling of GAC has been extensively performed, but few have focused on the clinical significance of gene clusters of the cell cycle. Methods We investigated the genetic profile of cell-cycle-associated genes in a GAC cohort. The mRNA expression and clinical data were downloaded from TCGA, according to cBioportal. We conducted a series of analyses to detect the relationships between these genes and GAC. Results From all the patients, 5 clusters were identified based on mRNA expression of 122 cell-cycle-associated genes. Cluster 1 showed the worst prognosis and is characterized by extremely high expression of WEE2 and CCNE1. Comparison of the gene patterns showed that 16 genes expressed were distinctly varied between each cluster. In addition, investigations into the prognostic role of the 16 genes suggested that high expression of ESPL1 and MCM5 were significantly correlated with favorable outcomes. Moreover, we detected that ESPL1 and MCM5 gene expression were negatively correlated with GAC pathologic stage progression. Conclusions This study revealed a gene expression pattern of the cell cycle in different GAC subgroups, and suggested individual genes were associated with the clinical outcome and AJCC stages. These results suggest a novel prognostic strategy for GAC and provide information for patient stratification and trials of targeted therapies

Additional file 1: of Expression and prognostic value of cell-cycle-associated genes in gastric adenocarcinoma

Table S1. Gene listed in KEGG cell cycle pathway (hsa04110). Table S2. Comparison of Survival Curves of each cluster by Log-rank (Mantel-Cox) test. Table S3. Comparison of individual gene expressions of each cluster. Table S4. Correlation between Cluster-specific genes expression and tumor stages. (DOCX 24 kb)

Additional file 1 of First-in-human study of GFH018, a small molecule inhibitor of transforming growth factor-β receptor I inhibitor, in patients with advanced solid tumors

Supplementary Material 1