Evidence map›Paper›PMID 26786760›Full record

ArticleScientific reports2016

Plasma extracellular RNA profiles in healthy and cancer patients.

Tiezheng Yuan, Xiaoyi Huang, Mark Woodcock, Meijun Du, Rachel Dittmar, Yuan Wang, Susan Tsai, Manish Kohli, Lisa Boardman, Tushar Patel and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 178 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
178citing papers in PubMed, 2 pooled it
18.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

178 citing papers in PubMed, 2 syntheses or guidelines pooled it, 287 citations in OpenAlex.

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118 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 2 countries.

Tiezheng YuanDepartment of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Xiaoyi HuangCenter for Biotherapy, the Second Affiliated Hospital of Harbin Medical University, Harbin, Postcode 150086, China.
Mark WoodcockDepartment of Internal Medicine, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Meijun DuDepartment of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Rachel DittmarDepartment of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Yuan WangDepartment of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Susan TsaiDepartment of Surgery, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Manish KohliDepartment of Oncology, Mayo Clinic, Rochester, MN 55905, USA.
Lisa BoardmanDepartment of Oncology, Mayo Clinic, Rochester, MN 55905, USA.
Tushar PatelDepartments of Transplantation and Cancer Biology, Mayo Clinic, Jacksonville, FL 32224, USA.
Liang WangDepartment of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Medical College of Wisconsin · USMayo Clinic in Arizona · USHarbin Medical University · CNMayo Clinic in Florida · US

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Felicity Enders · 1985 to 2026
$151.3M
PILOT AND FEASIBILTY PROGRAMP30DK084567 · NIDDK · MAYO CLINIC ROCHESTER · PI GREGORY J. GORES · 2009 to 2026
$22.2M
Extracellular non-coding RNA biomarkers of hepatocellular cancerUH3TR000884 · NCATS · MAYO CLINIC JACKSONVILLE · PI PATEL, TUSHAR · 2015 to 2017
$3.0M
Genetic determinants of gene expression phenotypes in aggressive prostate cancerR01CA157881 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI WANG, LIANG · 2011 to 2016
$2.9M
Extracellular non-coding RNA biomarkers of hepatocellular cancerUH2TR000884 · NCATS · MAYO CLINIC JACKSONVILLE · PI PATEL, TUSHAR · 2013 to 2014
$989k
NCATS NIH HHS 3UH2TR000884NCATS NIH HHS UH2 TR000884NCATS NIH HHS UH3 TR000884NCI NIH HHS P30 CA015083NCI NIH HHS R01 CA157881NIDDK NIH HHS P30 DK084567
6 · The paper itself

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.

Indexed as

AdolescentAdultAgedAged, 80 and overBiomarkersCase-Control StudiesFemaleGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansMaleMicroRNAsMiddle AgedNeoplasmsNeoplasm StagingRNABiomarkersMicroRNAsRNARNA, Messenger

Identifiers

PMID26786760
PMCPMC4726401
OpenAlexW2251552368

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.