scholarly journals Meta-analysis of the prognostic value of long non-coding RNA AFAP1-AS1 for cancer patients in China

Oncotarget ◽  
2017 ◽  
Vol 9 (8) ◽  
pp. 8100-8110 ◽  
Author(s):  
Rui-Hua Liu ◽  
Ming-Ying Wang ◽  
Ling-Yun Chen ◽  
Zhi-Jie Yin ◽  
Qian-Kun Ji ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Prognostic Value ◽  
Meta Analysis ◽  
Non Coding Rna ◽  
Long Non Coding Rna

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

Medicine ◽  
2018 ◽  
Vol 97 (49) ◽  
pp. e13548 ◽  
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

The clinicopathological and prognostic value of long non-coding RNA ZEB1-AS1 in solid tumors: A meta-analysis

2018 ◽  
Vol 484 ◽  
pp. 91-98 ◽  
Author(s):  
Chaojie Liang ◽  
Jing Liu ◽  
Hua Ge ◽  
Yingchen Xu ◽  
Guangming Li ◽  
...  
Keyword(s):  
Solid Tumors ◽  
Prognostic Value ◽  
Meta Analysis ◽  
Non Coding Rna ◽  
Long Non Coding Rna

scholarly journals Long non-coding RNA XIST predicts worse prognosis in digestive system tumors: a systemic review and meta-analysis

2018 ◽  
Vol 38 (3) ◽  
Author(s):  
Xuefang Liu ◽  
Xinliang Ming ◽  
Wei Jing ◽  
Ping Luo ◽  
Nandi Li ◽  
...  
Keyword(s):  
Overall Survival ◽  
Cancer Patients ◽  
Digestive System ◽  
Meta Analysis ◽  
Predictive Biomarker ◽  
Systemic Review ◽  
Cochrane Library ◽  
Expression Levels ◽  
Non Coding Rna ◽  
Long Non Coding Rna

Increasing studies are indicating that long non-coding RNA (lncRNA) X-inactive specific transcript (XIST) is associated with the prognosis of cancer patients. However, the results have been disputed. Therefore, we aimed to further explore the prognostic value and clinical significance of XIST in various types of cancers. Then, we focussed our research on the comparison of the predictive value of XIST between digestive system tumors and non-digestive system tumors. We performed a systematic search by looking up PubMed, Embase, Cochrane Library, Web of Science, and Medline (up to 3 January 2018). Fifteen studies which matched our inclusion criteria with a total of 920 patients for overall survival and 867 patients for clinicopathological characteristics were included in this meta-analysis. Pooled hazard ratios (HR) and odds ratios (ORs) with their corresponding 95% confidence intervals (95% CIs) were calculated to summarize the effects. Our results suggested that high expression levels of XIST were associated with unfavorable overall survival in cancer patients (pooled HR = 1.81, 95% CI: 1.45–2.26). Additionally, we found that XIST was more valuable in digestive system tumors (pooled HR = 2.24, 95% CI: 1.73–2.92) than in non-digestive system tumors (pooled HR = 1.22, 95% CI: 0.60–2.45). Furthermore, elevated expression levels of XIST were connected with distant metastasis and tumor stage. XIST was correlated with poor prognosis, which suggested that XIST might serve as a novel predictive biomarker for cancer patients, especially for patients of digestive system tumors.

scholarly journals Prognostic value of long non-coding RNA CRNDE in gastrointestinal cancers: a meta-analysis

2019 ◽  
Vol Volume 11 ◽  
pp. 5629-5642 ◽  
Author(s):  
Tian-Yu He ◽  
Si-Han Li ◽  
Jin Huang ◽  
Ming Gong ◽  
Guang Li
Keyword(s):  
Prognostic Value ◽  
Meta Analysis ◽  
Gastrointestinal Cancers ◽  
Non Coding Rna ◽  
Long Non Coding Rna

Prognostic value of long non-coding RNA MALAT1 in cancer patients

Tumor Biology ◽  
2015 ◽  
Vol 37 (1) ◽  
pp. 897-903 ◽  
Author(s):  
Yihua Wu ◽  
Wei Lu ◽  
Jinming Xu ◽  
Yu Shi ◽  
Honghe Zhang ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Prognostic Value ◽  
Non Coding Rna ◽  
Long Non Coding Rna

scholarly journals Prognostic value of long non-coding RNA PVT1 as a novel biomarker in various cancers: a meta-analysis

Oncotarget ◽  
2017 ◽  
Vol 8 (68) ◽  
pp. 113174-113184 ◽  
Author(s):  
Shikai Zhu ◽  
Ping Shuai ◽  
Chong Yang ◽  
Yun Zhang ◽  
Shan Zhong ◽  
...  
Keyword(s):  
Prognostic Value ◽  
Meta Analysis ◽  
Non Coding Rna ◽  
Long Non Coding Rna

The Prognostic Value of Long Non-Coding RNA SNHG7 in Human Cancer: A Meta-Analysis

2021 ◽  
Vol 22 ◽  
Author(s):  
Kexun Yu ◽  
Weijie Yuan ◽  
Changhao Huang ◽  
Lei Xiao ◽  
Runsha Xiao ◽  
...  
Keyword(s):  
Prognostic Value ◽  
Human Cancer ◽  
Meta Analysis ◽  
Clinicopathological Features ◽  
Tnm Stage ◽  
Significant Heterogeneity ◽  
Node Metastasis ◽  
Non Coding Rna ◽  
The Relationship ◽  
Long Non Coding Rna

Background: The long non-coding RNA SNHG7 is upregulated in many types of cancer and plays a role as an oncogene. However, its overall predictive ability in human cancer prognosis has not been assessed using existing databases. Therefore, further study of its prognostic value and clinical significance in human malignancies is warranted. Methods: We systematically collected relevant literature from multiple electronic document databases about the relationship between SNHG7 expression level and prognosis in patients with solid cancers. We further screened them for eligibility. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were used to assess the prognostic value. Odds ratios (ORs) and their 95% CIs were collected to evaluate the relationship between the expression of SNHG7 and clinicopathological features, including lymph node metastasis (LNM), tumour size, tumour node metastasis (TNM) stage and histological grade. Results: Fourteen original studies involving 971 patients were enrolled strictly following the inclusion and exclusion criteria. The meta-analysis showed that SNHG7 expression was significantly correlated with poor overall survival (HR = 1.93, 95% CI: 1.64–2.26, p<0.001) in human cancer patients. In addition, the pooled OR indicated that overexpression of SNHG7 was associated with earlier LNM (OR = 1.83, 95% CI: 1.44–2.32; P <0.001), and advanced TNM stage (OR = 1.82, 95% CI: 1.44–2.30; P <0.001).Meanwhile, there was no significant heterogeneity between the selected studies, proving the reliability of the meta-analysis results. Conclusions: High SNHG7 expression may predict poor oncological outcomes in patients with multiple human cancers, which could be a novel prognostic biomarker of unfulfilled clinicopathological features. However, further high-quality studies are needed to verify and strengthen the clinical value of SNHG7 in different types of cancer.

Prognostic Value of Long Non-Coding RNA Long Intergenic Non-Protein Coding RNA 1586 in Pancreatic Cancer

2021 ◽  
Vol 11 (3) ◽  
pp. 380-385
Author(s):  
Pengju Yue ◽  
Jing Bao
Keyword(s):  
Pancreatic Cancer ◽  
Survival Rate ◽  
Cancer Patients ◽  
Poor Prognosis ◽  
Prognostic Value ◽  
Cancer Tissue ◽  
Non Coding Rna ◽  
Long Non Coding Rna ◽  
Low Expression ◽  
Related Survival

This study investigated the prognostic value of the long non-coding RNA (lncRNA) LINC01586 in pancreatic cancer. Three pancreatic cancer patients who received pancreaticoduodenectomies in our department in January 2019 were retrospectively selected. Cancer tissue and adjacent tissue samples were collected for high-throughput sequencing of lncRNAs. Among them, 221 lncRNAs were up-regulated and 235 were down-regulated. The expression of LINC01586 was decreased in pancreatic cancer patients (logFC = -3.308). An additional 74 tissue specimens were collected from pancreatic cancer patients from January 2011 to December 2016 for low-throughput validation. Patient samples were categorized into overexpression and low expression groups, based on the median LINC01586 expression level. The LINC01586 low expression group exhibited larger tumor size than the overexpression group (P < 0.001), while the low expression group exhibited a lower cancer-related survival rate than the overexpression group (one-year cancer-related survival rate: 55.6% vs. 89.2%, P < 0.001). Further analysis confirmed that low expression of LINC01586 was associated with poor prognosis for pancreatic cancer patients (OR = 0.169, 95% CI 0.066-0.437, P = 0.000). KEGG signaling pathway analysis was used to enrich LINC01586 target genes, and were mainly related to two metabolic pathways: insulin secretion (P = 0.011) and dopaminergic synapses (P = 0.0129), with SNAP25 as the core gene. The expression of LINC01586 and SNAP25were positively correlated in pancreatic cancer (R = 0.81 and P < 0.001). Together, our results indicate that LINC01586 may be used as a biomarker for prognosis predictions in pancreatic cancer patients, and its low expression is associated with poor prognosis.

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