MicroRNAs (miRNAs) play critical roles in the development and progression of ovarian cancer. We found that miR-212 was significantly downregulated in serum and tissues from epithelial ovarian cancer (EOC) patients. Overexpression of miR-212 in ovarian cancer cells inhibited cell proliferation, migration, and invasion. Luciferase reporter assay confirmed HBEGF as a direct target of miR-212. Overexpression of miR-212 decreased HBEGF expression at both the protein and messenger RNA (mRNA) levels. Knockdown of HBEGF expression in SKOV3 cell line significantly inhibited cell growth, migration, and invasion. HBEGF mRNA level was upregulated in EOC tissues and inversely correlated with miR-212 expression in tissues. Upregulation of HBEGF could attenuate the effect induced by miR-212. These findings indicate that miR-212 displays a tumor-suppressive effect in human ovarian cancer. And miR-212 suppresses cell proliferation, migration, and invasion by targeting the HBEGF transcript, highlighting the therapeutic potential of miR-212 and HBEGF in epithelial ovarian cancer treatment.

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Emerging evidence indicates that non-coding RNAs, such as lncRNAs and microRNAs, play important roles in diverse diseases, such as cancer, immune diseases and cardiovascular diseases. Interestingly, lncRNAs could directly or indirectly regulate the expression of miRNAs. However, the expression profiling of miRNAs associated with UCA1 in bladder cancer remains unknown. Here, we used Illumina deep sequencing to sequence miRNA libraries from both the UCA1 knockdown and normal high-expression 5637 cells. We identified 225 and 235 miRNAs expressed in 5637 cells of normal high-expression and knockdown of UCA1, respectively. Overall, expression of 75 miRNAs showed significant difference associated with UCA1, of which 38 were upregulated and 37 downregulated with UCA1 knockdown. GO analysis of the host target genes revealed that these aberrantly regulated miRNAs were involved in complex cellular pathways, including biological process, cellular component and molecular function. We selected 8 candidate miRNAs associated with UCA1 and predicted their targeted mRNAs, and found that p27kip1 was a crucial downstream molecule for these 8 miRNAs, especially for miR-196a. KEGG pathway analysis showed that PI3K-Akt signaling pathway was involved in regulating these 8 candidant miRNAs. Among these 8 candidant miRNAs, we observed the correlation among UCA1, miR-196a and the host target mRNA, p27kip1, in bladder cancer cells and tissues. UCA1 was upregulated by miR-196a and positively correlated with miR-196a, whereas UCA1 and miR-196a were negatively correlated with p27kip1, which was downregulated in bladder cancer patients. Thus, our findings provided valuable information on miRNAs associated with UCA1 in bladder cancer, which could be helpful to further explore the related genes and molecular networks fundamental in bladder cancer progression.

The role of the X-ray repair cross-complementing gene 1(XRCC1) Arg399Gln and Arg194Trp polymorphisms has been involved in the investigations of susceptibility to multiple autoimmune diseases, but the results were inconsistent. Here, we have performed a meta-analysis to clarify the relationship between them. All appropriate case-control studies were searched in the PubMed, EMBASE and Chinese National Knowledge Infrastructure (CNKI) database. A meta-analysis was conducted on the association between the XRCC1 two polymorphisms (Arg399Gln, Arg194Trp) and risk of autoimmune diseases. Pooled odds ratios (OR) with 95% confidence intervals (CI) were conducted to assess the association. Fourteen relevant studies with a total of 2886 cases and 3257 controls were analyzed in our research. Analysis for the XRCC1 Arg399Gln polymorphism under recessive model (OR 1.53, 95% CI 1.07-2.18, P = 0.019), dominant model (OR 1.36, 95% CI 1.04-1.77, P = 0.026) and homozygous model (OR 1.67, 95% CI 1.07-2.62, P = 0.024) indicated an association in the overall population, as well as in Caucasian populations under the recessive model (OR 1.73, 95% CI 1.03-2.91, P = 0.039) and Asian populations under dominant model (OR 1.31, 95% CI 1.02-1.70, P = 0.037). Stratification by disease indicated significant association between XRCC1 Arg399Gln and rheumatoid arthritis (RA) in all genetic models (P < 0.05). However, there was no significant association between XRCC1 Arg194Trp polymorphism and autoimmune diseases in different genetic models. The current meta-analysis demonstrates that the XRCC1 Arg399Gln polymorphism confers susceptibility to autoimmune diseases in Asians and Caucasians and, in particular, shows that XRCC1 Arg399Gln polymorphism is associated with RA.