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The clinical prognostic value of lncRNA FAM83H-AS1 in cancer patients: a meta-analysis.

ABSTRACT: Background:Family with sequence similarity 83 member H antisense RNA 1 (FAM83H-AS1) is a novel long non-coding RNA. Increasing studies have reported that FAM83H-AS1 is abnormally expressed in a variety of tumors and is associated with poor outcome. However, the clinical prognostic significance of lncRNA FAM83H-AS1 in tumors is not completely known. Methods:In this meta-analysis, literature was collected up until February 5, 2020 through multifarious retrieval strategies by searching through electronic databases of PubMed, Cochrane Library, EMBASE, Medline, Web of Science, CNKI, Weipu, and Wanfang. A total of 14 studies that met the inclusion criteria with relevant clinical data and prognostic information were included in the meta-analysis. Results:The combined results revealed that high expression of FAM83H-AS1 was associated with poor overall survival (OS) (HR?=?1.63, 95% CI 1.24-2.14, P?=?0.0004) in a variety of cancers. Additionally, upregulated FAM83H-AS1 expression was significantly correlated with tumor TNM stage (III/IV vs. I/II, OR?=?2.40, 95% CI 1.36-4.23, P?=?0.003) and lymph node metastasis (positive vs. negative, OR?=?1.70, 95% CI 1.14-2.52, P?=?0.008) in patients with cancer. Conclusions:Our results of this meta-analysis indicated that elevated FAM83H-AS1 expression could predict poor prognosis in patients with cancer and suggested that FAM83H-AS1 might serve as a novel biomarker for cancer.

SUBMITTER: Yang Q

PROVIDER: S-EPMC7059312 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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The clinical prognostic value of lncRNA FAM83H-AS1 in cancer patients: a meta-analysis.

Yang Qin Q Wang Jie J Zhong Pingyong P Mou Tinggang T Hua Hao H Liu Pan P Xie Fei F

Cancer cell international 20200306

<h4>Background</h4>Family with sequence similarity 83 member H antisense RNA 1 (FAM83H-AS1) is a novel long non-coding RNA. Increasing studies have reported that FAM83H-AS1 is abnormally expressed in a variety of tumors and is associated with poor outcome. However, the clinical prognostic significance of lncRNA FAM83H-AS1 in tumors is not completely known.<h4>Methods</h4>In this meta-analysis, literature was collected up until February 5, 2020 through multifarious retrieval strategies by searchi ...[more]

PMID: 32165862

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Project description:Background: Knowledge about the prognostic role of long noncoding RNA (lncRNA) in colorectal cancer (CRC) is limited. Therefore, we constructed a lncRNA-related prognostic model based on data from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA). Materials and Methods: CRC transcriptome and clinical data were downloaded from the GSE20916 dataset and the TCGA database, respectively. R software was used for data processing and analysis. The differential lncRNA expression within the two datasets was first screened, and then intersections were measured. Cox regression and the Kaplan-Meier method were used to evaluate the effects of various factors on prognosis. The area under the curve (AUC) of the receiver operating characteristic curve and a nomogram based on multivariate Cox analysis were used to estimate the prognostic value of the lncRNA-related model. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were applied to elucidate the significantly involved biological functions and pathways. Results: A total of 11 lncRNAs were crossed. The univariate Cox analysis screened out two lncRNAs, which were analyzed in the multivariate Cox analysis. A nomogram based on the two lncRNAs and other clinicopathological risk factors was constructed. The AUC of the nomogram was 0.56 at 3 years and 0.71 at 5 years. The 3-year nomogram model was compared with the ideal model, which showed that some indices of the 3-year model were consistent with the ideal model, suggesting that our model was highly accurate. The GO and KEGG enrichment analyses showed that positive regulation of secretion by cells, positive regulation of secretion, positive regulation of exocytosis, endocytosis, and the calcium signaling pathway were differentially enriched in the two-lncRNA-associated phenotype. Conclusions: A two-lncRNA prognostic model of CRC was constructed by bioinformatics analysis. The model had moderate prediction accuracy. LncRNA BBOX1-AS1 and lncRNA FOXP4-AS1 were identified as prognostic biomarkers.

Dataset Information

The clinical prognostic value of lncRNA FAM83H-AS1 in cancer patients: a meta-analysis.

Publications

The clinical prognostic value of lncRNA FAM83H-AS1 in cancer patients: a meta-analysis.

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