Long non-coding RNA activated by TGF-β expression in cancer prognosis: A meta-analysis

Background: Several studies demonstrated that long non-coding RNA differentiation antagonizing non-protein coding RNA (lncRNA DANCR) expression might have the potential capacity to predict the cancer prognosis, however, definite conclusion has not been obtained. The aim of this meta-analysis was to evaluate the prognostic value of lncRNA DANCR expression in cancers. Methods: PubMed, Web of Science, Scopus and Embase were comprehensively searched for relevant studies. Studies meeting all inclusion standards were included into this meta-analysis. The analysis of overall survival (OS), disease-free survival (DFS) or clinicopathological features was conducted. Results: Eleven studies containing 1,154 cancer patients were analyzed in this meta-analysis. The results showed, compared with low lncRNA DANCR expression, high lncRNA DANCR expression was significantly associated with shorter OS (HR=1.85, 95%CI=1.52-2.26, P<0.01) and DFS (HR=1.82, 95%=1.43-2.32, P<0.01) in cancers. Besides, high lncRNA DANCR expression predicted deeper tumor invasion (P<0.01), earlier lymph node metastasis (P<0.01), earlier distant metastasis (P<0.01) and more advanced clinical stage (P<0.01) compared with low lncRNA DANCR expression in cancer populations. Conclusion: High lncRNA DANCR expression was associated with worse prognosis compared with low lncRNA DANCR expression in cancers. LncRNA DANCR expression could serve as a prognostic factor of human cancers.

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Long non-coding RNA CRNDE in cancer prognosis: Review and meta-analysis

Clinica Chimica Acta ◽

10.1016/j.cca.2018.07.003 ◽

2018 ◽

Vol 485 ◽

pp. 262-271 ◽

Cited By ~ 10

Author(s):

Haibiao Xie ◽

Bo Ma ◽

Qunjun Gao ◽

Hengji Zhan ◽

Yuchen Liu ◽

...

Keyword(s):

Meta Analysis ◽

Cancer Prognosis ◽

Non Coding Rna ◽

Long Non Coding Rna

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The value of lncRNAs as prognostic biomarkers on clinical outcomes in osteosarcoma: a meta-analysis

BMC Cancer ◽

10.1186/s12885-021-07882-w ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Wenchao Zhang ◽

Xiaolei Ren ◽

Lin Qi ◽

Chenghao Zhang ◽

Chao Tu ◽

...

Keyword(s):

Web Of Science ◽

Meta Analysis ◽

Positive Outcome ◽

Clinical Applications ◽

Clinicopathological Features ◽

Cochrane Library ◽

Human Osteosarcoma ◽

Non Coding Rna ◽

The Cochrane Library ◽

Long Non Coding Rna

Abstract Background In recent years, emerging studies have demonstrated critical functions and potential clinical applications of long non-coding RNA (lncRNA) in osteosarcoma. To further validate the prognostic value of multiple lncRNAs, we have conducted this updated meta-analysis. Methods Literature retrieval was conducted by searching PubMed, Web of Science and the Cochrane Library (last update by October 2, 2019). A meta-analysis was performed to explore association between lncRNAs expression and overall survival (OS) of osteosarcoma patients. Relationships between lncRNAs expression and other clinicopathological features were also analyzed respectively. Results Overall, 4351 patients from 62 studies were included in this meta-analysis and 25 lncRNAs were identified. Pooled analyses showed that high expression of 14 lncRNAs connoted worse OS, while two lncRNAs were associated with positive outcome. Further, analysis toward osteosarcoma clinicopathologic features demonstrated that overexpression of TUG1 and XIST indicated poor clinical parameters of patients. Conclusions This meta-analysis has elucidated the prognostic potential of 16 lncRNAs in human osteosarcoma. Evidently, desperate expression and functional targets of these lncRNAs offer new approaches for prognosis and therapy of osteosarcoma.

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Association Between Long Non-Coding RNA POLR2E rs3787016 Polymorphism and Cancer Susceptibility: A Meta-analysis of 8725 Cancer Cases and 10710 Controls

Shiraz E-Medical Journal ◽

10.5812/semj.102065 ◽

2020 ◽

Vol In Press (In Press) ◽

Author(s):

Saeid Ghavami ◽

Mohsen Taheri ◽

Mohammad Hashemi

Keyword(s):

Breast Cancer ◽

Web Of Science ◽

Cancer Susceptibility ◽

Meta Analysis ◽

Positive Association ◽

Cancer Development ◽

Non Coding Rna ◽

Stratified Analysis ◽

The Relationship ◽

Long Non Coding Rna

Objectives: Several studies have reported a correlation between the POLR2E rs3787016 polymorphism and cancer development, but findings are inconsistent. Therefore, we designed the current study to understand how rs3787016 polymorphism impacts cancer susceptibility. Methods: We searched the Scopus, Web of Science, and PubMed databases for studies related to the topic of interest published up to March 2019. A total of 11 relevant studies, encompassing 8,761 cancer cases and 10,534 controls, were retrieved and subject to quantitative analysis. The strength of the relationship was evaluated using the pooled odds ratios (ORs) with 95% confidence intervals (CIs). Results: Overall, the findings proposed a positive association between rs189037 polymorphism and susceptibility to cancer in homozygous (OR = 1.32, 95% CI = 1.11 - 1.57, P = 0.002, TT vs. CC), recessive (OR = 1.21, 95% CI = 1.06-1.39, P = 0.005, TT vs. CT + CC), and allele (OR = 1.12, 95% CI = 1.02-1.22, P = 0.021, T vs. C) genetic models. Stratified analysis showed that rs3787016 increased the risk of prostate and breast cancer. In addition, we found a significant association between the variant and increased cancer risk in Asian and Caucasian populations. Conclusions: In summary, the findings of the current meta-analysis suggest that the POLR2E rs3787016 polymorphism is an indicator of cancer susceptibility.

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Long non-coding RNA FTX predicts a poor prognosis of human cancers: a meta-analysis

Bioscience Reports ◽

10.1042/bsr20203995 ◽

2021 ◽

Author(s):

Weiwei Chen ◽

Yuting Li ◽

Liliangzi Guo ◽

Chenxing Zhang ◽

Shaohui Tang

Keyword(s):

Meta Analysis ◽

Clinical Stage ◽

Predictive Marker ◽

Clinicopathological Characteristics ◽

Cochrane Library ◽

Hazard Ratios ◽

Non Coding Rna ◽

The Relationship ◽

Long Non Coding Rna

Background: Several studies have assessed the relationship between long non-coding RNA five prime to Xist (FTX) expression, clinicopathological features, and survival outcomes in cancer patients with conflicting results. This meta-analysis synthesized existing data to clarify the association between FTX with cancer prognosis.Methods: PubMed, Embase, Cochrane library, Web of Science, Chinese CNKI, and the Chinese WanFang databases were used to search for relevant studies. Role of FTX in cancers was evaluated by pooled odds ratios (ORs) and hazard ratios (HRs) with 95% confidence intervals (CIs).Results: Eleven studies comprising 1,210 participants including colorectal cancer (CRC), hepatocellular carcinoma (HCC), gastric cancer (GC), renal cell carcinoma (RCC), osteosarcoma (OSC), and glioma were enrolled in this analysis. The meta-analysis showed that high FTX expression was significantly associated with several clinicopathological characteristics, including lymph node metastasis in patients with CRC, GC, HCC, and RCC, distant metastasis in patients with CRC, GC, HCC, and OSC, larger tumor size in patients with CRC, GC, HCC, RCC, and OSC, and subsequently TNM/clinical stage in patients with CRC, GC, HCC, OSC, and glioma. The pooled results from the survival analysis revealed a significant correlation between high FTX expression and shorter OS in patients with HCC, CRC, GC, OSC, and glioma. Further, FTX overexpression could be an independent predictive marker for shorter OS in patients with CRC, HCC, OSC, and glioma. Conclusions: FTX may be a potential oncogene, with high FTX expression being associated with a poorer prognosis in patients with CRC, HCC, OSC, and glioma

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Long non-coding RNA CRNDE as a potential prognostic biomarker in solid tumors: A meta-analysis

Clinica Chimica Acta ◽

10.1016/j.cca.2018.02.039 ◽

2018 ◽

Vol 481 ◽

pp. 99-107 ◽

Cited By ~ 9

Author(s):

Chaojie Liang ◽

Bing Zhang ◽

Hua Ge ◽

Yingchen Xu ◽

Guangming Li ◽

...

Keyword(s):

Solid Tumors ◽

Prognostic Biomarker ◽

Meta Analysis ◽

Non Coding Rna ◽

Long Non Coding Rna

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The prognostic value of long non-coding RNA PlncRNA-1 in patients with cancers: a systematic review and meta-analysis

10.21203/rs.3.rs-15903/v1 ◽

2020 ◽

Author(s):

Lijun Lei ◽

Lianbing Sheng ◽

Lingyuan Wu ◽

Jiaojing Liu ◽

Bin Wei ◽

...

Keyword(s):

Web Of Science ◽

Prognostic Biomarker ◽

Meta Analysis ◽

Database Search ◽

Clinical Prognosis ◽

Non Coding Rna ◽

Increased Risk ◽

Cancer Types ◽

The Relationship ◽

Long Non Coding Rna

Abstract Background We performed this meta-analysis to elucidate whether the expression of PlncRNA-1 might serve as an effective prognostic marker for various cancers. Methods We conducted a database search of PubMed, ScienceDirect, Embase, Web of Science and CNKI database (up to Oct 31, 2019). The pooled hazard ratio (HR), odds ratio (OR) and 95% confidence interval (CI) were used to estimate the strength of the relationship between PlncRNA-1 expression and the clinical prognosis of cancer patients. Results The results showed that elevated PlncRNA-1 expression predicted a poor OS with pooled HRs of 1.43 (95% CI: 1.25-1.63, I 2 =63.1%, P=0.004). Likewise, we found that advanced tumour stages were associated with upregulated PlncRNA-1 expression in various cancer types (III–IV vs I–II: OR=2.79, 95% CI: 1.76-4.41, I 2 =0%, P=0.822),patients with high PlncRNA-1 expression might have an increased risk of large tumours (OR=2.03, 95% CI: 1.31-3.14, I 2 =67.1%, P=0.028). Conclusions PlncRNA-1 might be used as a prognostic biomarker and as a tool for the early detection of various tumours.

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Meta-analysis of the prognostic value of long non-coding RNA PVT1 for cancer patients

Medicine ◽

10.1097/md.0000000000013548 ◽

2018 ◽

Vol 97 (49) ◽

pp. e13548 ◽

Cited By ~ 2

Author(s):

Chao Ma ◽

Xing-Guo Nie ◽

Yan-Li Wang ◽

Da-Peng Wu ◽

Qiu-dong Liang

Keyword(s):

Cancer Patients ◽

Prognostic Value ◽

Meta Analysis ◽

Non Coding Rna ◽

Long Non Coding Rna

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LncRNA-ANRIL promotes gastric cancer progression by enhancing NF-kB signaling

Experimental Biology and Medicine ◽

10.1177/1535370219860207 ◽

2019 ◽

Vol 244 (12) ◽

pp. 953-959 ◽

Cited By ~ 5

Author(s):

Wei Deng ◽

Yulong Zhang ◽

Jun Cai ◽

Jun Zhang ◽

Xiaoye Liu ◽

...

Keyword(s):

Gastric Cancer ◽

Tumor Progression ◽

Cancer Progression ◽

Additional Treatment ◽

Cancer Prognosis ◽

Mechanistic Study ◽

Major Purpose ◽

Non Coding Rna ◽

Potential Biomarker ◽

Long Non Coding Rna

Metastasis is the most challenging issue for gastric cancer, and identification of the molecular mechanism and suitable targets for treatment is the major purpose of recent research. In this study, we found the long non-coding RNA ANRIL was critical for the progression of gastric cancer. Knockdown of ANRIL (also known as CDKN2B-AS) with shRNA increased apoptosis, inhibited tumor growth, and suppressed migration of cancer cells. TET2 (Tet Methylcytosine Dioxygenase 2), a methylcytosine dioxygenase suppressed ANRIL function and prevented cancer progression. Patients with higher TET2 expression survived better, while with higher ANRIL survived worse. Furthermore, expressions of TET2 and ANRIL were negatively correlated in the patient samples. The mechanistic study suggested that ANRIL promoted tumor progression mainly by enhancing NF-kB signaling. Impact statement Gastric cancer is one of the leading causes of cancer-related death. The lack of curative therapeutic options ascribes to the complex genetic background and heterogeneity of gastric cancer. Understanding the molecular details of the disease and identifying the therapeutic targets would offer additional treatment options. Long non-coding RNA ANRIL was involved in the progression of many cancers, including gastric cancer, but the mechanism was unknown. The current study indicated that ANRIL supported tumor cell survival by inhibiting apoptosis and promoted metastasis by enhancing NF-kB signaling. NF-kB signaling was critical in tumor progression, and this study proved another long non-coding RNA that could regulate NF-kB signaling. ANRIL would be a potential biomarker and therapeutic target for gastric cancer prognosis and treatment.

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