An updated review on the therapeutic, diagnostic, and prognostic value of long non-coding RNAs in gastric cancer

2021 ◽  
Vol 28 ◽  
Author(s):  
Alemeh Mohammadzadeh ◽  
Narges Dastmalchi ◽  
Bashdar Mahmud Hussen ◽  
Mahdi Abdoli Shadbad ◽  
Reza Safaralizadeh
Keyword(s):  
Gastric Cancer ◽  
Prognostic Value ◽  
Prognostic Biomarker ◽  
Clinicopathological Features ◽  
Biological Processes ◽  
Non Coding Rna ◽  
Non Coding Rnas ◽  
Future Direction ◽  
Long Non Coding Rna ◽  
Diagnostic And Prognostic Value

: As a novel group of non-coding RNAs, long non-coding RNA (lncRNAs) can substantially regulate various biological processes. Downregulated tumor-suppressive lncRNAs and upregulated oncogenic lncRNAs (onco-lncRNAs) have been implicated in gastric cancer (GC) development. These dysregulations have been associated with decreased chemosensitivity, inhibited apoptosis, and increased tumor migration in GC. Besides, growing evidence indicates that lncRNAs can be a valuable diagnostic and prognostic biomarker, and their expression levels are substantially associated with the clinicopathological features of affected patients. The current study aims to review the recent findings of the tumor-suppressive lncRNAs and onco-lncRNAs in GC development and highlight their therapeutic, diagnostic, and prognostic values in treating GC cells. Besides, it intends to highlight the future direction of lncRNAs in treating GC.

scholarly journals Long Non-Coding RNAs in Multiple Myeloma

2019 ◽  
Vol 5 (1) ◽  
pp. 13 ◽  
Author(s):  
Romana Butova ◽  
Petra Vychytilova-Faltejskova ◽  
Adela Souckova ◽  
Sabina Sevcikova ◽  
Roman Hajek
Keyword(s):  
Multiple Myeloma ◽  
Plasma Cells ◽  
Current Knowledge ◽  
Biological Processes ◽  
Cell Distribution ◽  
Rna Molecules ◽  
Non Coding Rna ◽  
Non Coding Rnas ◽  
New Treatment ◽  
Long Non Coding Rna

Multiple myeloma (MM) is the second most common hematooncological disease of malignant plasma cells in the bone marrow. While new treatment brought unprecedented increase of survival of patients, MM pathogenesis is yet to be clarified. Increasing evidence of expression of long non-coding RNA molecules (lncRNA) linked to development and progression of many tumors suggested their important role in tumorigenesis. To date, over 15,000 lncRNA molecules characterized by diversity of function and specificity of cell distribution were identified in the human genome. Due to their involvement in proliferation, apoptosis, metabolism, and differentiation, they have a key role in the biological processes and pathogenesis of many diseases, including MM. This review summarizes current knowledge of non-coding RNAs (ncRNA), especially lncRNAs, and their role in MM pathogenesis. Undeniable involvement of lncRNAs in MM development suggests their potential as biomarkers.

scholarly journals Identification of MATN3 as a Novel Prognostic Biomarker for Gastric Cancer through Comprehensive TCGA and GEO Data Mining

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Pan Wang ◽  
Wei-sheng Xiao ◽  
Yue-hua Li ◽  
Xiao-ping Wu ◽  
Hong-bo Zhu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
Poor Prognosis ◽  
Prognostic Value ◽  
Prognostic Biomarker ◽  
Meta Analysis ◽  
Progression Free Survival ◽  
Free Survival ◽  
The World ◽  
Diagnostic And Prognostic Value

Gastric cancer (GC) is still a vital malignant cancer across the world with unsatisfactory prognostic results. Matrilin-3 (MATN3) is a member of the extracellular matrix (ECM) protein family. The present research intends to explore the expression level of MATN3 in patients with GC and to explore the prognosis significance of MATN3. In this study, we observed that the MATN3 expression was remarkably upregulated in GC samples in contrast to noncancer samples. Clinical analyses unveiled that high MATN3 expression was related to age, tumor status, and clinical stages. Survival analyses unveiled that patients with high MATN3 expression displayed a poorer overall survival and progression-free survival than those with low MATN3 expression. The AUC of the relevant ROC curve for 1 year, 3 years, and 5 years of survival is 0.571, 0.596, and 0.720, separately. Multivariate assays revealed that MATN3 expression and stage were independent predictors of poor prognosis of GC patients. A meta-analysis unveiled that high MATN3 expression was tightly associated with better overall survival. Overall, our data indicated that MATN3 may have a diagnostic and prognostic value for patients with advanced gastric cancer and assist to improve clinical outcomes for GC patients.

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.

Long non-coding RNA-mediated regulation of signaling pathways in gastric cancer

2018 ◽  
Vol 56 (11) ◽  
pp. 1828-1837 ◽  
Author(s):  
Wei Zong ◽  
Shaoqing Ju ◽  
Rongrong Jing ◽  
Ming Cui
Keyword(s):  
Gastric Cancer ◽  
Signaling Pathways ◽  
Surgical Resection ◽  
High Frequency ◽  
Tumor Recurrence ◽  
Mapk Signaling ◽  
Non Coding Rna ◽  
Non Coding Rnas ◽  
Long Non Coding Rna ◽  
Mapk Signaling Pathways

Abstract Gastric cancer (GC) is one of the most common cancers globally. Because of the high frequency of tumor recurrence, or metastasis, after surgical resection, the prognosis of patients with GC is poor. Therefore, exploring the mechanisms underlying GC is of great importance. Recently, accumulating evidence has begun to show that dysregulated long non-coding RNAs (lncRNAs) participate in the progression of GC via several typical signaling pathways, such as the AKT and MAPK signaling pathways. Moreover, the interactions between lncRNAs and microRNAs appear to represent a novel mechanism in the pathogenesis of GC. This review provides a synopsis of the latest research relating to lncRNAs and associated signaling pathways in GC.

scholarly journals Identification and Functional Prediction of Drought-Responsive Long Non-Coding RNA in Tomato

Agronomy ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 629 ◽  
Author(s):  
Seung Hee Eom ◽  
Hee Ju Lee ◽  
Jin Hyoung Lee ◽  
Seung Hwan Wi ◽  
Sung Kyeom Kim ◽  
...  
Keyword(s):  
Higher Plants ◽  
Biological Processes ◽  
Mrna Targets ◽  
Non Coding Rna ◽  
Starting Point ◽  
Antisense Lncrnas ◽  
Non Coding Rnas ◽  
Mirnas Expression ◽  
Long Non Coding Rna

In higher plants, several lines of evidence suggest that long non-coding RNAs (lncRNAs) may play important roles in the regulation of various biological processes by regulating gene expression. In this study, we identified a total of 521 lncRNAs, classified as intergenic, intronic, sense, and natural antisense lncRNAs, from RNA-seq data of drought-exposed tomato leaves. A further 244 drought-responsive tomato lncRNAs were predicted to be putative targets of 92 tomato miRNAs. Expression pattern and preliminary functional analysis of potential mRNA targets suggested that drought-responsive tomato lncRNAs play important roles in a variety of biological processes via lncRNA–mRNA co-expression. Taken together, these data present a comprehensive view of drought-responsive tomato lncRNAs that serve as a starting point for understanding the role of long intergenic non-coding RNAs in the regulatory mechanisms underlying drought responses in crops.

Evaluating the diagnostic and prognostic value of serum long non-coding RNA CTC-497E21.4 in gastric cancer

2019 ◽  
Vol 57 (7) ◽  
pp. 1063-1072 ◽  
Author(s):  
Wei Zong ◽  
Wei Feng ◽  
Yun Jiang ◽  
Shaoqing Ju ◽  
Ming Cui ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Prognostic Value ◽  
Quantitative Polymerase Chain Reaction ◽  
High Sensitivity ◽  
Expression Levels ◽  
Non Coding Rna ◽  
Potential Biomarker ◽  
Polymerase Chain ◽  
Long Non Coding Rna

Abstract Background Long non-coding RNAs (lncRNAs) have been reported to play a key role in gastric cancer (GC) tumorigenesis. However, the clinical application value of serum lncRNAs in GC has remained largely unknown. We investigated the role of a novel lncRNA named CTC-497E21.4 in the diagnosis and the prognosis of GC. Methods We focused on evaluation of lncRNA CTC-497E21.4 by real-time fluorescent quantitative polymerase chain reaction (RTFQ-PCR). The study involved following aspects: (1) confirmation of the higher lncRNA CTC-497E21.4 expression in different types of GC specimens than corresponding controls; (2) evaluation of monitoring tumor dynamics by the serum lncRNA CTC-497E21.4 assay; (3) evaluation of the prognostic value of lncRNA CTC-497E21.4 assay in GC. Results (1) The method of RTFQ-PCR detection of lncRNA CTC-497E21.4 was evaluated to have high sensitivity and specificity. (2) The expression levels of lncRNA CTC-497E21.4 were higher in GC patients compared with corresponding controls (p<0.001), and the combination of serum lncRNA CTC-497E21.4, CEA and CA19-9 could improve diagnostic sensitivity (96.36%). (3) The serum lncRNA CTC-497E21.4 expression levels were lower in postoperative samples than preoperative samples (p=0.0021) and survival curves downloaded from TCGA showed high lncRNA CTC-497E21.4 levels were associated with poor OS of GC (p=0.0351). Conclusions lncRNA CTC-497E21.4 may be a potential biomarker for the diagnosis and the prognosis of GC.

scholarly journals Non-Coding RNAs in Glioma

Cancers ◽  
2018 ◽  
Vol 11 (1) ◽  
pp. 17 ◽  
Author(s):  
Ryte Rynkeviciene ◽  
Julija Simiene ◽  
Egle Strainiene ◽  
Vaidotas Stankevicius ◽  
Jurgita Usinskiene ◽  
...  
Keyword(s):  
Phenotypic Diversity ◽  
High Grade Glioma ◽  
Biological Processes ◽  
Glioma Tissue ◽  
Tissue Samples ◽  
Non Coding Rna ◽  
The Central Nervous System ◽  
Non Coding Rnas ◽  
Long Non Coding Rna

Glioma is the most aggressive brain tumor of the central nervous system. The ability of glioma cells to migrate, rapidly diffuse and invade normal adjacent tissue, their sustained proliferation, and heterogeneity contribute to an overall survival of approximately 15 months for most patients with high grade glioma. Numerous studies indicate that non-coding RNA species have critical functions across biological processes that regulate glioma initiation and progression. Recently, new data emerged, which shows that the cross-regulation between long non-coding RNAs and small non-coding RNAs contribute to phenotypic diversity of glioblastoma subclasses. In this paper, we review data of long non-coding RNA expression, which was evaluated in human glioma tissue samples during a five-year period. Thus, this review summarizes the following: (I) the role of non-coding RNAs in glioblastoma pathogenesis, (II) the potential application of non-coding RNA species in glioma-grading, (III) crosstalk between lncRNAs and miRNAs (IV) future perspectives of non-coding RNAs as biomarkers for glioma.

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

2021 ◽  
Author(s):  
Kexun Yu ◽  
Lu Chen ◽  
Zihua Chen ◽  
Weijie Yuan ◽  
Pengwei Zeng ◽  
...  
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

Abstract 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.

scholarly journals Bioinformatics Analysis of Long Non-coding RNA and Related Diseases: An Overview

2021 ◽  
Vol 12 ◽  
Author(s):  
Yuxin Gong ◽  
Wen Zhu ◽  
Meili Sun ◽  
Lei Shi
Keyword(s):  
Small Rnas ◽  
Bioinformatics Analysis ◽  
Regulation Of Gene Expression ◽  
Research Progress ◽  
Biological Processes ◽  
Existing Problems ◽  
Non Coding Rna ◽  
Non Coding Rnas ◽  
Cancer Côlon ◽  
Long Non Coding Rna

Long non-coding RNAs (lncRNAs) are usually located in the nucleus and cytoplasm of cells. The transcripts of lncRNAs are &gt;200 nucleotides in length and do not encode proteins. Compared with small RNAs, lncRNAs have longer sequences, more complex spatial structures, and more diverse and complex mechanisms involved in the regulation of gene expression. LncRNAs are widely involved in the biological processes of cells, and in the occurrence and development of many human diseases. Many studies have shown that lncRNAs can induce the occurrence of diseases, and some lncRNAs undergo specific changes in tumor cells. Research into the roles of lncRNAs has covered the diagnosis of, for example, cardiovascular, cerebrovascular, and central nervous system diseases. The bioinformatics of lncRNAs has gradually become a research hotspot and has led to the discovery of a large number of lncRNAs and associated biological functions, and lncRNA databases and recognition models have been developed. In this review, the research progress of lncRNAs is discussed, and lncRNA-related databases and the mechanisms and modes of action of lncRNAs are described. In addition, disease-related lncRNA methods and the relationships between lncRNAs and human lung adenocarcinoma, rectal cancer, colon cancer, heart disease, and diabetes are discussed. Finally, the significance and existing problems of lncRNA research are considered.

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