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Translation regulatory long non-coding RNA 1 represents a potential prognostic biomarker for colorectal cancer.

ABSTRACT: Long non-coding RNAs (lncRNAs) have attracted a lot of attention for their role in the development, progression and prognosis of colorectal cancer (CRC). However, little is known on the clinical significance of the translation regulatory lncRNA 1 (TRERNA1) in CRC. The present study aimed to explore the clinical value of TRERNA1 in patients with CRC. A total of 89 cancer-associated lncRNA genes were analyzed using the RT2 lncRNA PCR array Human Cancer PathwayFinder. Following the PCR array, reverse transcription-quantitative (RT-q)PCR was conducted to identify the differential expression of TRERNA1 between 130 CRC and corresponding non-tumorous adjacent tissues. Additionally, the association between TRERNA1 expression and clinical characteristics was analyzed. Furthermore, TRERNA1 expression was knocked down via small interfering RNAs. The results of the PCR array and RT-qPCR revealed that TRERNA1 expression was significantly upregulated in CRC tissues compared with in adjacent normal tissues. TRERNA1 upregulation was positively associated with distant metastasis, perineural invasion, TNM stage, node metastasis stage and tumor diameter. Multivariate analysis revealed that patients with higher TRERNA1 expression had a shorter overall survival (OS) time and a less favorable prognosis compared with those in the low TRERNA1 expression group. Knockdown of TRERNA1 inhibited invasion and metastasis of CRC cells via regulating Snail expression. In conclusion, TRERNA1 expression was upregulated in CRC tissues. High expression levels of TRERNA1 may be associated with poor OS times, a less favorable prognosis and lymph node metastasis in patients with CRC. TRERNA1 may therefore serve as a useful and novel biomarker for CRC lymph node metastasis and prognosis.

SUBMITTER: Wang W

PROVIDER: S-EPMC7204641 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

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Translation regulatory long non-coding RNA 1 represents a potential prognostic biomarker for colorectal cancer.

Wang Weijia W Tang Xiaolong X Qu Hui H He Qingsi Q

Oncology letters 20200410 6

Long non-coding RNAs (lncRNAs) have attracted a lot of attention for their role in the development, progression and prognosis of colorectal cancer (CRC). However, little is known on the clinical significance of the translation regulatory lncRNA 1 (TRERNA1) in CRC. The present study aimed to explore the clinical value of TRERNA1 in patients with CRC. A total of 89 cancer-associated lncRNA genes were analyzed using the RT<sup>2</sup> lncRNA PCR array Human Cancer PathwayFinder. Following the PCR a ...[more]

PMID: 32391108

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Project description:BackgroundDysregulated long non-coding RNAs (lncRNAs) may serve as potential biomarkers of cancers including breast cancer (BRCA). This study aimed to identify lncRNAs with strong prognostic value for BRCA.MethodsLncRNA expression profiles of 929 tissue samples were downloaded from TANRIC database. We performed differential expression analysis between paired BRCA and adjacent normal tissues. Survival analysis was used to identify lncRNAs with prognostic value. Univariate and multivariate Cox regression analyses were performed to confirm the independent prognostic value of potential lncRNAs. Dysregulated signaling pathways associated with lncRNA expression were evaluated using gene set enrichment analysis.ResultsWe found that a total of 398 lncRNAs were significantly differentially expressed between BRCA and adjacent normal tissues (adjusted P value <= 0.0001 and |logFC| >= 1). Additionally, 381 potential lncRNAs were correlated Overall Survival (OS) (P value < 0.05). A total of 48 lncRNAs remained when differentially expressed lncRNAs overlapped with lncRNAs that had prognostic value. Among the 48 lncRNAs, one lncRNA (LINC01614) had stronger prognostic value and was highly expressed in BRCA tissues. LINC01614 expression was validated as an independent prognostic factor using univariate and multivariate analyses. Higher LINC01614 expression was observed in several molecular subgroups including estrogen receptors+, progesterone receptors+ and human epidermal growth factor receptor 2 (HER2)+ subgroup, respectively. Also, BRCA carrying one of four gene mutations had higher expression of LINC01614 including AOAH, CIT, HER2 and ODZ1. Higher expression of LINC01614 was positively correlated with several gene sets including TGF-β1 response, CDH1 signals and cell adhesion pathways.ConclusionsA novel lncRNA LINC01614 was identified as a potential biomarker for prognosis prediction of BRCA. This study emphasized the importance of LINC01614 and further research should be focused on it.

Project description:BackgroundIncreasing amount of long non-coding RNAs (lncRNAs) have been found involving in many biological processes and played salient roles in cancers. However, up until recently, functions of most lncRNAs in lung cancer have not been fully discovered, particularly in the co-regulated lncRNAs. Thus, this study aims to investigate roles of lncRNA modules and uncover a module-based biomarker in lung adenocarcinoma (LUAD).ResultsWe used gene expression profiles from The Cancer Genome Atlas (TCGA) to construct the lncRNA association networks, from which the highly-associated lncRNAs are connected as modules. It was found that the expression of some modules is significantly associated with patient's survival, including module N1 (HR = 0.62, 95% CI = 0.46-0.84, p = 0.00189); N2 (HR = 0.68, CI = 0.50-0.93, p = 0.00159); N4 (HR = 0.70, CI = 0.52-0.95, p = 0.0205) and P3 (HR = 0.68, CI = 0.50-0.92, p = 0.0123). The lncRNA signature consisting of these four prognosis-related modules, a 4-modular lncRNA signature, is associated with favourable prognosis in TCGA-LUAD (HR = 0.51, CI = 0.37-0.69, p value = 2.00e-05). Afterwards, to assess the performance of the generic modular signature as a prognostic biomarker, we computed the time-dependent area under the receiver operating characteristics (AUC) of this 4-modular lncRNA signature, which showed AUC equals 68.44% on 336th day. In terms of biological functions, these modules are correlated with several cancer hallmarks and pathways, including Myc targets, E2F targets, cell cycle, inflammation/immunity-related pathways, androgen/oestrogen response, KRAS signalling, DNA repair and epithelial-mesenchymal transition (EMT).ConclusionTaken together, we identified four novel LUAD prognosis-related lncRNA modules, and assessed the performance of the 4-modular lncRNA signature being a prognostic biomarker. Functionally speaking, these modules involve in oncogenic hallmarks as well as pathways. The results unveiled the co-regulated lncRNAs in LUAD and may provide a framework for further lncRNA studies in lung cancer.

Dataset Information

Translation regulatory long non-coding RNA 1 represents a potential prognostic biomarker for colorectal cancer.

Publications

Translation regulatory long non-coding RNA 1 represents a potential prognostic biomarker for colorectal cancer.

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