LncRNA expression profile reveals the potential role of lncRNAs in gastric carcinogenesis

Gu, Wei; Gao, Tian; Sun, Ying; Zheng, Xiangqin; Wang, Ji; Ma, Jin; Hu, Xiaoying; Li, Jian; Hu, Meijie

doi:10.3233/cbm-150460

Cited by 37 publications

(30 citation statements)

References 31 publications

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“…They are involved in epigenetic regulation, transcriptional and posttranscriptional regulation that are key cellular processes that also determine tumorigenesis [4]. Dysregulation of lncRNAs has been reported in many types of cancers [5–8]. Since they have been implicated in different stages of cancer progression including proliferation, invasion and metastasis, they are promising prognostic markers for cancer [9–10, 11].…”

Section: Introductionmentioning

confidence: 99%

Long non-coding RNA HULC as a potential prognostic biomarker in human cancers: a meta-analysis

Fan

Jiang

et al. 2017

Oncotarget

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Since the long non-coding RNA HULC (Highly Upregulated in Liver Cancer) is dysregulated in many cancers, we performed a meta-analysis to determine its prognostic potential in malignant tumors. We searched electronic databases, including PubMed, Medline, OVID, Cochrane Library and Web of Science from inception until August 14, 2016 and identified seven studies with 730 cancer patients for the meta-analysis. We analyzed the hazard ratios (HRs) and 95% confidence intervals (CIs) to determine the relationship between HULC expression and overall survival (OS). We also using RevMan5.3 software to calculate odds ratio (ORs) to assess the association between HULC expression and pathological parameters, including lymph node metastasis (LNM), distant metastasis (DM) and the tumor stage. Our analysis showed that higher HULC expression was associated with OS (HR= 0.50, 95% CI: 0.35–0.70, P <0.00001), LNM (OR=0.20, 95 % CI 0.06–0.64), DM (OR=0.27, 95% CI: 0.13–0.54) and the tumor stage (OR=0.39, 95 % CI 0.25–0.64). These meta-analysis data demonstrate that higher HULC expression can be a useful prognostic biomarker in human cancers.

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Section: Introductionmentioning

confidence: 99%

Long non-coding RNA HULC as a potential prognostic biomarker in human cancers: a meta-analysis

Fan

Jiang

et al. 2017

Oncotarget

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“…lncRNAs have important functions in disease, including epigenetic, transcriptional, and posttranscriptional regulation [2]. Recent studies have reported lncRNA dysregulation in various cancer types [3–6]. Some lncRNAs play roles in cancer progression, promoting or inhibiting proliferation, invasion and metastasis [7–8], and many are promising prognostic markers [9].…”

Section: Introductionmentioning

confidence: 99%

BRAF-activated lncRNA predicts gastrointestinal cancer patient prognosis: a meta-analysis

Fan

et al. 2016

Oncotarget

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BRAF activated non-coding RNA (BANCR) is often dysregulated in cancer. We performed a meta-analysis to clarify its functions as a prognostic indicator in malignant tumors. We searched the PubMed, Medline, OVID, Cochrane Library, and Web of Science databases to identify BANCR-related studies. Nine original studies and 898 total patients were included in the meta-analysis. Hazard ratios (HR) and 95% confidence intervals (CI) were extracted from the included studies to determine the relationship between BANCR expression and patient overall survival (OS). Odds ratios (OR) were calculated using RevMan 5.3 software to assess associations between BANCR expression and pathological parameters. High BANCR expression correlated with lymph node metastasis (LNM) (OR = 3.41, 95% CI: 1.82–6.37, P = 0.0001), distant metastasis (DM) (OR = 2.98, 95% CI: 1.76–5.07, P < 0.0001), tumor stage (OR = 3.11, 95% CI: 1.89–5.12, Z = 3.25, P < 0.0001), and poor OS (pooled HR = 1.98, 95% CI: 1.20–3.27, P = 0.008) in gastrointestinal (GI) cancer patients, but not in non-GI cancer patients. Our results support the notion that BANCR as a promising prognostic biomarker in Chinese patients with GI cancer.

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“…Gu et al (16), reported abnormal lncRNA expression profile of GC by microarray analysis from six GC patients. To date, there is also lack of large sample size studies and cancer specific lncRNA biomarkers or detection methods in GC.…”

Section: Introductionmentioning

confidence: 99%

Integrated analysis of long non-coding RNA competing interactions reveals the potential role in progression of human gastric cancer

Liang

Yao

et al. 2016

International Journal of Oncology

112

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Abstract. Abnormal expression of long non-coding RNAs (lncRNAs) have been shown to play an important role in tumor biology. The Cancer Genome Atlas (TCGA) platform is a large sample sequencing database of lncRNAs, and further analysis of the associations between these data and patients' clinical related information can provide new approaches to find the functions of lncRNA. In the present study, 361 RNA sequencing profiles of gastric cancer (GC) patients were selected from TCGA. Then, we constructed the lncRNA-miRNA-mRNA competitive endogenous RNA (ceRNA) network of GC. There were 25 GC specific lncRNAs (fold change >2, p<0.05) identified, 19 of them were included in ceRNA network. Subsequently, we selected these 19 key lncRNAs and analyzed the correlations with clinical features and overall survival, 14 of them were discriminatively expressed with tumor size, tumor grade, TNM stage and lymphatic metastasis (p<0.05). In addition, eight lncRNAs (RPLP0P2, FOXD2-AS1, H19, TINCR, SLC26A4-AS1, SMIM10L2A, SMIM10L2B and SNORD116-4) were found to be significantly associated with overall survival (log-rank p<0.05). Finally, two key lncRNAs HOTAIR and UCA1 were selected for validation of their expression levels in 82 newly diagnosed GC patients by qRT-PCR. Results showed that the fold changes between TCGA and qRT-PCR were 100% in agreement. In addition, we also found that HOTAIR was significantly correlated with tumor size and lymphatic metastasis (p<0.05), and UCA1 was significantly correlated with tumor size, TNM stage and lymphatic metastasis (p<0.05).The clinical relevance of the two lncRNAs and the bioinformatics analysis results were almost the same. Overall, our study showed the GC specific lncRNAs expression patterns and a ceRNA network in GC. Clinical features related to GC specific lncRNAs also suggested these lncRNAs are worthwhile for further study as novel candidate biomarkers for the clinical diagnosis of GC and potential indicators for prognosis. IntroductionNoncoding RNAs (ncRNAs) are transcripts that have no ability of coding proteins, which widely exit in high eukaryotics. According to their characteristics, ncRNAs can be divided into several subtypes including transfer RNA, small nucleolar RNA (snoRNA), ribosomal RNA (rRNA), microRNA (miRNA) and long non-coding RNA (lncRNA). The amount of the ncRNAs transcripts is >98% of the whole genome transcripts and have been suggested to represent transcriptional noise (1). However, more and more evidence indicates that transcriptional output of genome is far more complex than predicted, and suggests new paradigms of ncRNA regulation (2).Recent studies suggest that the ncRNAs may play important biological roles in transcriptional regulation, cellular development, formation of chromosome and RNA modification (3). Based on the transcript size, ncRNAs are grouped into small ncRNAs (<200 bp) and long ncRNAs (>200 bp, up to 100 kb). lncRNA is the functional end-product, and the level of lncRNA expression correlates directly with the level of the active molecule. Thus, ...

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LncRNA expression profile reveals the potential role of lncRNAs in gastric carcinogenesis

Cited by 37 publications

References 31 publications

Long non-coding RNA HULC as a potential prognostic biomarker in human cancers: a meta-analysis

Long non-coding RNA HULC as a potential prognostic biomarker in human cancers: a meta-analysis

BRAF-activated lncRNA predicts gastrointestinal cancer patient prognosis: a meta-analysis

Integrated analysis of long non-coding RNA competing interactions reveals the potential role in progression of human gastric cancer

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