Aim Liver‐specific non‐coding RNAs have been reported to play crucial roles in hepatocellular carcinoma (HCC). We investigated the possible biological performance of a novel liver‐specific long non‐coding RNA, LINC02499, in HCC. Methods The association between LINC02499 expression and HCC was evaluated based on The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases, and then confirmed in a HCC cohort by quantitative real‐time polymerase chain reaction. The effects of LINC02499 on HCC cells were verified by gain‐ and loss‐of‐function assays. Pathway enrichment analyses were used to explore the potential mechanism of LINC02499 in HCC. Results LINC02499 expression was remarkably decreased in HCC tissues compared to adjacent non‐tumor tissues based on TCGA (P < 0.001) and GEO databases (P < 0.001) and our HCC cohort (P < 0.001). Decreased LINC02499 was also significantly associated with poorer overall survival in both the TCGA database (P = 0.009) and our HCC cohort (P = 0.002). Furthermore, the receiver operating characteristic analysis indicated that LINC02499 showed a good performance in HCC diagnosis (area under the curve = 0.879, P < 0.001), and both sensitivity and specificity were 83.8%. In addition, up‐ and downregulated LINC02499 significantly impacted proliferation, migration, and invasion abilities of HCC cells in vitro. Pathway enrichment analyses revealed that the potential target genes of LINC02499 were involved in “Complement and coagulation cascades” and “Butanoate metabolism” pathways. Conclusion LINC02499 could be a potential novel diagnostic and prognostic biomarker for HCC patients, and it could exert a tumor suppressor role in the progression of HCC.
Ki-67 is considered as one of prime biomarkers to reflect cell proliferation and immunohistochemical Ki-67 staining has been widely applied in clinical pathology. To solve the widespread controversy whether Ki-67 reactivity significantly predicts clinical prognosis of bladder carcinoma (BC), we performed a comprehensive meta-analysis by combining results from different literature.A comprehensive search was conducted in the Chinese databases of WanFang, China National Knowledge Infrastructure and Chinese VIP as well as English databases of PubMed, ISI web of science, EMBASE, Science Direct, and Wiley online library. Independent studies linking Ki-67 to cancer-specific survival (CSS), disease-free survival (DFS), overall survival (OS), progression-free survival (PFS), and recurrence-free survival (RFS) were included in our meta-analysis. With the cut-off values literature provided, hazard ratio (HR) values between the survival distributions were extracted and later combined with STATA 12.0.In total, 76 studies (n = 13,053 patients) were eligible for the meta-analysis. It was indicated in either univariate or multivariate analysis for survival that high Ki-67 reactivity significantly predicted poor prognosis. In the univariate analysis, the combined HR for CSS, DFS, OS, PFS, and RFS were 2.588 (95% confidence interval [CI]: 1.623–4.127, P < 0.001), 2.697 (95%CI: 1.874–3.883, P < 0.001), 2.649 (95%CI: 1.632–4.300, P < 0.001), 3.506 (95%CI: 2.231–5.508, P < 0.001), and 1.792 (95%CI: 1.409–2.279, P < 0.001), respectively. The pooled HR of multivariate analysis for CSS, DFS, OS, PFS, and RFS were 1.868 (95%CI: 1.343–2.597, P < 0.001), 2.626 (95%CI: 2.089–3.301, P < 0.001), 1.104 (95%CI: 1.008–1.209, P = 0.032), 1.518 (95%CI: 1.299–1.773, P < 0.001), and 1.294 (95%CI: 1.203–1.392, P < 0.001), respectively. Subgroup analysis of univariate analysis by origin showed that Ki-67 reactivity significantly correlated with all 5 clinical outcome in Asian and European-American patients (P < 0.05). For multivariate analysis, however, the pooled results were only significant for DFS, OS, and RFS in Asian patients, for CSS, DFS, PFS, and RFS in European-American patients (P < 0.05). In the subgroup with low cut-off value (<20%), our meta-analysis indicated that high Ki-67 reactivity was significantly correlated with worsened CSS, DFS, OS, PFS, and RFS on univariate analysis (P < 0.05). For multivariate analysis, the meta-analysis of literature with low cut-off value (<20%) demonstrated that high Ki-67 reactivity predicted shorter DFS, PFS, and RFS in BC patients (P < 0.05). In the subgroup analysis of high cut-off value (≥20%), our meta-analysis indicated that high Ki-67 reactivity, in either univariate or multivariate analysis, significantly correlated with all five clinical outcomes in BC patients (P < 0.05).The meta-analysis indicates that high Ki-67 reactivity significantly correlates with deteriorated clinical outcomes in BC patients and that Ki-67 can be considered as an independent indicator for the prognosis by the me...
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