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Objective:To explore the expression of long non-coding RNA (lncRNA) HAGLR in breast cancer and its effect on the prognosis of breast cancer, and to construct a competitive endogenous RNA (ceRNA) network.Methods:The Atlas of Genetics and Cytogenetics in Oncology and Haematology website was used to search for HAGLR chromosome gene mapping and transcript expression. The lnclocater website was used to predict the subcellular localization of HAGLR, and the differential expression of HAGLR in breast cancer tissues and adjacent tissues was analyzed by using lnCAR database. The patients in lnCAR database were divided into HAGLR high expression group and HAGLR low expression according to HAGLR expression. The Kaplan-Meier method was used to analyze the overall survival (OS) and metastasis-free survival, which was verified by using UCSC Xena database. lnCAR database was used to search the co-expressed genes of HAGLR. The top 200 co-expressed genes were submitted to the Metascape website for Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analysis, and protein interaction network (PPI) was constructed. Starbase, a bioinformatics online analysis website, was used to predict HAGLR targeting mircoRNA (miRNA) and mRNA that directly encoded proteins. ceRNA network of HAGLR was constructed with Cytoscape3.8 software.Results:HAGLR gene was localized in 2q31.1 and mainly distributed in cytoplasm. The expression level of HAGLR in breast cancer tissues was higher than that in adjacent tissues, and the difference was statistically significant ( P < 0.001). lnCAR database and UCSC Xena database analysis showed that OS in HAGLR high expression group was worse than that in HAGLR low expression group (all P < 0.01). lnCAR database, the metastasis-free survival in HAGLR high expression group was worse than that in HAGLR low expression group ( P = 0.030). Among the top 200 HAGLR co-expressed genes, 129 genes were negatively correlated with HAGLR and 71 genes were positively correlated with HAGLR. KEGG pathway analysis showed that HAGLR was related to metabolic pathways, MAPK signaling pathway, JAK-STAT signaling pathway and cancer pathway. GO annotation analysis showed that HAGLR was mainly enriched in cell cycle, centromeric complex assembly, mitotic progression, protein kinase binding, kinase activity regulation, cell response to DNA damage stimulation and other functions. hsa-miR-130b-3p, hsa-miR-1245b-5p, hsa-miR-182b-5p, hsa-miR-512-3p, hsa-miR-302b-3p, hsa-miR-185b-5p, hsa-miR-106b-5p were HAGLR targeting miRNA. Conclusions:HAGLR is highly expressed in breast cancer tissues, and it may be a biomarker for predicting the prognosis of breast cancer.
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Osteosarcoma is the most common primary solid bone malignancy. The main factor leading to recurrence and metastasis of osteosarcoma is resistance to chemotherapy drugs. Long non-coding RNAs can affect drug resistance in osteosarcoma by regulating epithelial-mesenchymal transition, cell autophagy, apoptosis, drug efflux, and cell cycle, suggesting that long non-coding RNAs may become new targets for drug resistance in osteosarcoma treatment.
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Objective To investigate the correlations between expression of CASC2 and hepatocellular carcinoma(HCC) prognosis.Methods A total of 129 patients including 80 males and 49 females with HCC were includedin this study,ranging from 21 to 73 years in Xuanwu Hospital of Capital Medical University and Beijing You'an Hospital were retrospectively analyzed from September 2007 to January 2014.Expression of CASC2 was assessed using reverse transcription quantitative-polymerase chain reaction in HCC tissue and the adjacent normal tissue.The correlations between CASC2 mRNA level and clinicopathological parameters was investigated.The relationship between the expression of CASC2 and the prognosis of patients with HCC was analyzed by Kaplan-Meier method.A log-rank analysis was performed to identify group differences.Univariate and multivariate Cox analysis were used to analyze the variables affecting the patient's prognosis.Results In 129 HCC samples,the level of CASC2 expression (0.84 ± 0.05) was lower than (3.35 ± 0.11) adjacent normal tissue (P ＜ 0.05).There were significant differences between CASC2 expression and tumor size,histological differentiation,and tumor stage in 129 HCC speciments.The median expression level of CACS2 in HCC tissues,0.84-fold,was used as the cut-off value to divide the 129 patients into two groups:low-expression group (n =72) and high-expression group (n =57).Overall survival rate of HCC patients with high CACS2 expression was significantly higher than those of patients with low CACS2 expression(P ＜0.05).Multivariate analysis indicated that histological differentiation (HR =0.20,95％ CI:0.05 ～ 0.59),tumor stage (HR =1.71,95％ CI:1.02 ～ 2.99) and CACS2 expression (HR =O.51,95％ CI:O.08 ～0.92) were an independent predictor of overall survival.Conclusion Low expression of CACS2 might be associated with the occurrence and development of HCC.
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Secondary resistance is a major limitation in the efficacy of epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor treatment of lung cancer. Previous studies have shown that expression of the long non-coding RNA HOX transcript antisense RNA (HOTAIR) is upregulated in lung cancer, which is correlated with metastasis and poor prognosis. However, the precise role of HOTAIR and its effects on gefitinib resistance in human lung adenocarcinoma are not known. To address this issue, in the present study we established a gefitinib-resistant (R)PC-9 human lung adenocarcinoma cell line and examined cell viability with the 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium assay. We found that gefitinib concentrations <10 µM inhibited the viability of PC-9 but not RPC-9 cells in a dose-dependent manner. Lentivirus-mediated HOTAIR RNA interference induced cell apoptosis and S-phase arrest, as determined by terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling and flow cytometry. Consistent with these observations, HOTAIR suppression was associated with tumor shrinkage and restoration of gefitinib sensitivity in RPC-9 xenograft mice. Immunohistochemical analyses and western blot revealed that HOTAIR silencing resulted in the upregulation of B cell lymphoma 2-associated X protein (Bax), Caspase-3 and transforming growth factor α (TGF-α) and downregulation of EGFR and B cell lymphoma 2 (Bcl-2) levels. These results indicate that HOTAIR normally prevents the activation of Bax/Caspase-3 while inducing TGF-α/EGFR signaling. Thus, targeting HOTAIR may be a novel therapeutic strategy for treating gefitinib-resistant lung adenocarcinoma.
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Single nucleotide polymorphisms (SNPs) within DNA region containing interferon lambda 3 (IFNL3) and IFNL4 genes are prognostic factors of treatment response in chronic hepatitis C (CHC). Iron overload, frequently diagnosed in CHC, is associated with unfavorable disease course and a risk of carcinogenesis. Its etiology and relationship with the immune response in CHC are not fully explained. Our aim was to determine whether IFNL polymorphisms in CHC patients associate with body iron indices, and whether they are linked with hepatic expression of genes involved in iron homeostasis and IFN signaling. For 192 CHC patients, four SNPs within IFNL3-IFNL4 region (rs12979860, rs368234815, rs8099917, rs12980275) were genotyped. In 185 liver biopsies, histopathological analyses were performed. Expression of five mRNAs and three long non-coding RNAs (lncRNAs) was determined with qRT-PCR in 105 liver samples. Rs12979860 TT or rs8099917 GG genotypes as well as markers of serum and hepatocyte iron overload associated with higher activity of gamma-glutamyl transpeptidase and liver steatosis. The presence of two minor alleles in any of the tested SNPs predisposed to abnormally high serum iron concentration and correlated with higher hepatic expression of lncRNA NRIR. On the other hand, homozygosity in any major allele associated with higher viral load. Patients bearing rs12979860 CC genotype had lower hepatic expression of hepcidin (HAMP; P = 0.03). HAMP mRNA level positively correlated with serum iron indices and degree of hepatocyte iron deposits. IFNL polymorphisms influence regulatory pathways of cellular response to IFN and affect body iron balance in chronic hepatitis C virus infection.
