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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.