Dataset Information

Plasma extracellular RNA profiles in healthy and cancer patients.

ABSTRACT: Extracellular vesicles are selectively enriched in RNA that has potential as disease biomarkers. To systemically characterize circulating extracellular RNA (exRNA) profiles, we performed RNA sequencing analysis on plasma extracellular vesicles derived from 50 healthy individuals and 142 cancer patients. Of ~12.6 million raw reads for each individual, the number of mappable reads aligned to RNA references was ~5.4 million including miRNAs (~40.4%), piwiRNAs (~40.0%), pseudo-genes (~3.7%), lncRNAs (~2.4%), tRNAs (~2.1%), and mRNAs (~2.1%). By expression stability testing, we identified a set of miRNAs showing relatively consistent expression, which may serve as reference control for exRNA quantification. By performing multivariate analysis of covariance, we identified significant associations of these exRNAs with age, sex and different types of cancers. In particular, down-regulation of miR-125a-5p and miR-1343-3p showed an association with all cancer types tested (false discovery rate <0.05). We developed multivariate statistical models to predict cancer status with an area under the curve from 0.68 to 0.92 depending cancer type and staging. This is the largest RNA-seq study to date for profiling exRNA species, which has not only provided a baseline reference profile for circulating exRNA, but also revealed a set of RNA candidates for reference controls and disease biomarkers.

SUBMITTER: Yuan T

PROVIDER: S-EPMC4726401 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature

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Plasma extracellular RNA profiles in healthy and cancer patients.

Yuan Tiezheng T Huang Xiaoyi X Woodcock Mark M Du Meijun M Dittmar Rachel R Wang Yuan Y Tsai Susan S Kohli Manish M Boardman Lisa L Patel Tushar T Wang Liang L

Scientific reports 20160120

Extracellular vesicles are selectively enriched in RNA that has potential as disease biomarkers. To systemically characterize circulating extracellular RNA (exRNA) profiles, we performed RNA sequencing analysis on plasma extracellular vesicles derived from 50 healthy individuals and 142 cancer patients. Of ~12.6 million raw reads for each individual, the number of mappable reads aligned to RNA references was ~5.4 million including miRNAs (~40.4%), piwiRNAs (~40.0%), pseudo-genes (~3.7%), lncRNAs ...[more]

PMID: 26786760

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Project description:Extracellular vesicles such as exosomes are selectively enriched in RNA that has potential for use as disease biomarkers. To systemically characterize circulating extracellular RNA profiles, we performed RNA sequencing analysis on plasma extracellular vesicles derived from 192 individuals including 100 colon cancer, 36 prostate cancer and 6 pancreatic cancer patients along with 50 healthy individuals. Of ~12.6 million raw reads for each of these subjects, the number of mappable reads aligned to RNA references was ~5.4 million including microRNAs(miRNAs) (~40.4%), piwi-interacting RNAs(piwiRNAs) (~40.0%), pseudo-genes (~3.7%), long noncoding RNAs (lncRNAs) (~2.4%), tRNAs (~2.1%), and mRNAs (~2.1%). To select the best candidates for potential extracellular RNA reference controls, we performed abundant level stability testing and identified a set of miRNAs showing relatively consistent expression. To estimate biological variations, we performed association analysis of expression levels with age and sex in healthy individuals. This analysis showed significant sex association with seven small noncoding RNAs (false discovery rate, or FDR<0.05), while no small noncoding RNAs were statistically associated with age. To identify disease-associated RNA transcripts, we performed analysis of covariance by including disease status, age, sex, RNA isolation and gel size selection dates. We observed a gradual increase of significantly associated RNAs (in particular, miRNAs) with disease advancement as denoted by cancer staging. We found significant association of miR-125a-5p and miR-1246-3p with all cancer types tested (FDR<0.05). Based on the disease associations, we developed cancer type-specific multivariate statistical models to predict disease status with an area under the ROC curve from 0.67 in stage I colon cancer to 0.92 in advanced prostate cancer. To date, this is the largest RNA-seq study to systematically profile extracellular RNA species, which has not only provided a baseline reference profile for circulating extracellular RNA, but also a set of RNA candidates for reference controls and disease biomarkers.

Project description:BackgroundNon-small cell lung cancer (NSCLC) has a high mortality rate and poor prognosis. The early detection of high-risk patients is essential to improve patient prognosis. Thus, the identification of a non-invasive, non-radiative, convenient, and fast diagnostic approach should be a top priority in NSCLC research. Circulating extracellular RNAs (exRNAs) in the plasma are potential biomarkers for NSCLC.MethodsWe used RNA-sequencing (RNA-seq) technology to explore the NSCLC-related RNAs, especially the circular RNAs (circRNAs). The circRNA-targeted micro RNAs (miRNAs) were predicted using 3 circRNA databases [i.e., the Cancer-Specific CircRNA Database (CSCD), circBank, and Circular RNA Interactome]. The circRNA-miRNA-messenger RNA (mRNA) network was constructed using Cytoscape V3.8.0 (Cytoscape Consortium, San Diego, CA, USA). The expression levels of some differentially expressed genes were validated by a quantitative real-time polymerase chain reaction (qRT-PCR) analysis.ResultsThe results showed that the RNA biotypes of the mitochondrial ribosomal RNAs (mt-rRNAs) and mitochondrial transfer RNAs (mt-tRNAs) were upregulated in the NSCLC plasma. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) terms of the differentially expressed transcripts of NSCLC included oxidative phosphorylation, proton transmembrane transport, and the response to oxidative stress. Additionally, the qRT-PCR validation indicated that hsa_circ_0000722 had significantly higher expression in the NSCLC plasma than the control plasma, but hsa_circ_0006156 did not differ between the NSCLC plasma and the control plasma. The expression levels of miR-324-5p and miR-326 were higher in the NSCLC plasma than the control plasma.ConclusionsIn this study, an exRNA-sequencing strategy was used to identify the expression of NSCLC-specific transcription factors in clinical plasma samples, and hsa_circ_0000722 and hsa-miR-324-5p were identified as potential biomarkers in NSCLC.

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Plasma extracellular RNA profiles in healthy and cancer patients.

Publications

Plasma extracellular RNA profiles in healthy and cancer patients.

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