Oncology reports
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miRNA‑gene axes have been reported to serve an important role in the carcinogenesis of pancreatic cancer (PC). The aim of the present study was to systematically identity the microRNA signature and hub molecules, as well as hub miRNA‑gene axes, and to explore the potential biomarkers and mechanisms associated with the carcinogenesis of PC. Eleven microRNA profile datasets were obtained from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) and ArrayExpress databases, and a meta‑analysis was performed to identify the differentially expressed miRNAs (DEMs) between tumor tissue and normal tissue. ⋯ In addition, 44 miRNA‑mRNA interactions were constructed, and 4 hub genes were screened on the basis of the above bioinformatic tools and databases. Furthermore, 14 biological process (BP) functions and 6 KEGG pathways were identified according to gene set enrichment analysis (GSEA). In summary, the present study applied integrated bioinformatics approaches to generate a holistic view of PC, thereby providing a basis for further clinical application of the 5‑miRNA signature and the identified hub molecules, as well as the miRNA‑gene axes, which could serve as diagnostic markers and potential treatment targets.
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Colorectal cancer (CRC) is one of the principal causes of cancer‑associated mortality worldwide. The high incidence of liver metastasis is the leading risk factor of mortality in patients with CRC, and the mechanisms of CRC liver metastasis are poorly understood. In the present study, 7 datasets, including 3 gene expression profile datasets and 4 microRNA (miRNA) expression profile datasets were downloaded from the NCBI Gene Expression Omnibus (GEO) database to identify potential key genes and miRNAs, which may be candidate biomarkers for CRC liver metastasis. ⋯ A total of 20 DEGs were identified to be potential target genes of these DE miRNAs, and novel miRNA‑DEGs regulatory axes were constructed. In vitro experiments were performed to demonstrate that miR‑885 promoted CRC cell migration by, at least partially, decreasing the expression of von Willebrand factor (vWF) and insulin‑like growth factor binding protein 5 (IGFBP5). In conclusion, by using integrated bioinformatics analysis and in vitro experiments, key candidate genes were identified and novel miRNA‑mRNA regulatory axes in CRC liver metastasis were constructed, which may improve understanding of the molecular mechanisms underlying CRC liver metastasis.
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The dysregulation of long non‑coding RNAs (lncRNAs) is associated with cancer development. The present study profiled differentially expressed lncRNAs in ovarian cancer (OC) versus normal ovarian tissues (NT) and investigated their potential functions in gene expression. OC tissues from 30 patients and NT specimens from 20 non‑tumor patients were collected, and 5 cases of tumor and NT were subjected to lncRNA and mRNA microarray analysis. ⋯ Coding‑non‑coding gene co‑expression network analysis showed the interregulation of lncRNAs and mRNAs in OC development. In conclusion, dysregulated lncRNA and mRNA expression could promote OC development. Further study may validate a number as OC markers and provide novel insights into ovarian cancer biology.
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DKC1, an X‑linked gene encoding dyskerin at Xq28, is a crucial component of the telomerase complex and is indispensable for normal telomere function and the post‑-transcriptional modification of precursor rRNA. It has been revealed to exert diverse biological functions and prognostic values in numerous types of cancers. Our present study was aimed at examining DKC1 expression in normal renal tissues and clear cell renal cell carcinoma (ccRCC) samples and the prognostic value of DKC1 in ccRCC. ⋯ Furthermore, we found that knockdown of DKC1 inhibited proliferation, migration and invasion of ccRCC through regulation of the NF‑κB/MMP‑2 signaling pathway in vitro. We also demonstrated that DKC1 regulated ccRCC proliferation and the expression of NF‑κB‑p65 and MMP‑2 in vivo. In summary, the expression of DKC1 was upregulated in ccRCC, which was associated with unfavorable clinicopathological characteristics and DKC1 may act as an independent prognostic indicator of ccRCC patients.
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The objective of this study was to identify potentially significant genes and long non-coding RNAs (lncRNAs) in colon cancer for a panel of lncRNA signatures that could be used as prognostic markers for colon adenocarcinoma (COAD) based on the data from The Cancer Genome Atlas (TCGA). RNA-seq V2 exon data of COAD were downloaded from the TCGA data portal for 285 tumor samples and 41 normal tissue samples adjacent to tumors. Differentially expressed mRNAs and lncRNAs were identified. ⋯ Several lncRNA-lncRNA pairs had co-regulatory relationships or functional synergistic effects, including BVES-AS1/MYLK-AS1, ADAMTS9-AS1/MYLK-AS1 and FENDRR/MYLK-AS1. The differential expression profile analysis of four candidate lncRNAs (MYLK-AS1, BVES-AS1, ADAMTS9-AS1, and FENDRR) in COAD tumors were confirmed by reverse transcription-quantitative PCR. Moreover, this study identified a 14-lncRNA signature that could predict the survival for COAD patients.