No abstract

Background/Aims: Fibroblast growth factors (FGFs) and their high-affinity receptors contribute to autocrine and paracrine growth stimulation in several human malignant tumors, including breast cancer. However, the mechanisms underlying the carcinogenic actions of FGF18 remain unclear. Methods: The transcription level of FGF18 under the hypoxic condition was detected with quantitative PCR (qPCR). A wound-healing assay was performed to assess the role of FGF18 in cell migration. A clonogenicity assay was used to determine whether FGF18 silencing affected cell clonogenicity. Western blotting was performed to investigate Akt/GSK3β/β-catenin pathway protein expression. Binding of β-catenin to the target gene promoter was determined by chromatin immunoprecipitation (ChIP) assays. Results: FGF18 promoted the epithelial-mesenchymal transition (EMT) and migration in breast cancer cells through activation of the Akt/GSK3β/β-catenin pathway. FGF18 increased Akt-Ser473 and -Thr308 phosphorylation, as well as that of GSK3β-Ser9. FGF18 also enhanced the transcription of proliferation-related genes (CDK2, CCND2, Ki67), metastasis-related genes (TGF-β, MMP-2, MMP-9), and EMT markers (Snail-1, Snail-2, N-cadherin, vimentin, TIMP1). β-catenin bound to the target gene promoter on the ChIP assay. Conclusion: FGF18 contributes to the migration and EMT of breast cancer cells following activation of the Akt/GSK3β/β-catenin pathway. FGF18 expression may be a potential prognostic therapeutic marker for breast cancer.

Long noncoding RNA (lncRNA) plays an important regulatory role in tumorigenesis. This study aims to analyze the lncRNA-messenger RNA (mRNA) expression network and potential roles in colorectal cancer (CRC). The LncRNA expression profile was analyzed in CRC tissue by RNA sequencing and the functions of differentially expressed genes were analyzed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). The lncRNA-mRNA network was predicted with bioinformatics. From the result, we identified 485 differential expression lncRNAs and 2383 mRNAs in CRC, GO, and KEGG analyses showed that the changes in lncRNAs were mainly associated with metabolism and transcription regulation that were different from mRNA function. Additionally, based on the predicted coexpression network, we identified that NONHSAT074176.2, downregulated in CRC tissue and cell lines, was a hub lncRNA in the development of CRC. Our results describe the lncRNA-mRNA network in detail and indicate that lncRNA NONHSAT074176.2 may be useful as a candidate diagnostic biomarker and may be a promising therapeutic target for CRC.

Circular RNAs (circRNAs) play an important regulatory role in tumorigenesis. The aim of the present study was to analyze the circRNA expression network and elucidate its potential implications in colorectal cancer (CRC). The circRNA expression profile was analyzed in CRC tissues by RNA sequencing, and the functions of differentially expressed genes were analyzed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. The circRNA network was predicted with bioinformatics. On the basis of the results, we identified 23 differentially expressed circRNAs in CRC; GO and KEGG analyses demonstrated that the changes in circRNAs were mainly associated with regulation of biological and metabolic processes through binding to other molecules. In addition, based on the predicted coexpression network, we identified a hub circRNA, hsa_circ_0009022. Subsequently, the results of sequencing were confirmed by reverse transcription‐quantitative polymerase chain reaction, and hsa_circ_0000826 was found to be downregulated in CRC. Taken together, these findings indicate a set of differentially expressed circRNAs that may serve as a candidate diagnostic biomarker and a promising therapeutic target in CRC.

Abstract. Diabetes mellitus (DM) complications affect patients and cause varying damage. Skin ulcers exhibit difficulties in wound healing, and the regulatory basis for this remains unclear. High glucose concentration (HG) was utilized to mimic DM in cultured cells. Reverse transcription-quantitative polymerase chain reaction, western blotting and fluorescence dye analyses were performed to analyze the effects of hedgehog signaling in regulation of HG or diabetes in fibroblasts. HG-stress suppressed hedgehog-signaling gene expression, whereas the apoptosis and inflammatory response markers, Caspase-3 and plasminogen activator inhibitor-1 (PAI1), respectively, were induced. In addition, HG-stress inhibited the fibroblast proliferation rate. In parallel, treatment with Sonic hedgehog (Shh), an activator of hedgehog signaling, together with HG eliminated effects of HG on expression of hedgehog-signaling genes, Caspase-3 and PAI1, and rescued the cell proliferation rate in fibroblasts. In addition, Shh application activated c-Jun N-terminal kinase (JNK), which was inhibited by HG stress. sp600125, a JNK specific inhibitor, treatment inhibited the effect of Shh on fibroblast proliferation and hedgehog-signaling marker gene expression. Furthermore, zinc finger protein Gli1 (Gli1) overexpression partially eliminated the effect of HG and sp600125 on fibroblast proliferation, and reduced HG-induced ROS generation in fibroblasts. Together, these results indicate that HG stress inhibits hedgehog signaling, and Shh-JNK-Gli1 pathway positively regulates HG-induced damage on fibroblasts.