Evidence map›Paper›PMID 32523312›Full record

Observational studyWorld journal of gastroenterology2020

Serum outperforms plasma in small extracellular vesicle microRNA biomarker studies of adenocarcinoma of the esophagus.

Karen Chiam, George C Mayne, Tingting Wang, David I Watson, Tanya S Irvine, Tim Bright, Lorelle T Smith, Imogen A Ball, Joanne M Bowen, Dorothy M Keefe and 2 more

Open access · hybridAbstract readComparative StudyObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in World journal of gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 12% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
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  8. Exosomes in esophageal cancer: function and therapeutic prospects.Medical oncology (Northwood, London, England) · 2024
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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

12 authors at 2 institutions in 1 country.

Karen ChiamDiscipline of Surgery, College of Medicine and Public Health, Flinders University of South Australia, Adelaide, SA 5042, Australia.
George C MayneDiscipline of Surgery, College of Medicine and Public Health, Flinders University of South Australia, Adelaide, SA 5042, Australia.
Tingting WangDiscipline of Surgery, College of Medicine and Public Health, Flinders University of South Australia, Adelaide, SA 5042, Australia.
David I WatsonDiscipline of Surgery, College of Medicine and Public Health, Flinders University of South Australia, Adelaide, SA 5042, Australia.
Tanya S IrvineDiscipline of Surgery, College of Medicine and Public Health, Flinders University of South Australia, Adelaide, SA 5042, Australia.
Tim BrightDiscipline of Surgery, College of Medicine and Public Health, Flinders University of South Australia, Adelaide, SA 5042, Australia.
Lorelle T SmithDiscipline of Surgery, College of Medicine and Public Health, Flinders University of South Australia, Adelaide, SA 5042, Australia.
Imogen A BallAdelaide Medical School, The University of Adelaide, Adelaide, SA 5005, Australia.
Joanne M BowenAdelaide Medical School, The University of Adelaide, Adelaide, SA 5005, Australia.
Dorothy M KeefeFaculty of Health Sciences, The University of Adelaide, Adelaide, SA 5005, Australia.
Sarah K ThompsonDiscipline of Surgery, College of Medicine and Public Health, Flinders University of South Australia, Adelaide, SA 5042, Australia.
Damian J HusseyDiscipline of Surgery, College of Medicine and Public Health, Flinders University of South Australia, Adelaide, SA 5042, Australia.
Flinders University · AUUniversity of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCirculating microRNAs (miRNAs) are potential biomarkers for many diseases. However, they can originate from non-disease specific sources, such as blood cells, and compromise the investigations for miRNA biomarkers. While small extracellular vesicles (sEVs) have been suggested to provide a purer source of circulating miRNAs for biomarkers discovery, the most suitable blood sample for sEV miRNA biomarker studies has not been defined.

aimTo compare the miRNA profiles between matched serum and plasma sEV preparations to determine their suitability for biomarker studies.

methodsMatched serum and plasma samples were obtained from 10 healthy controls and 10 patients with esophageal adenocarcinoma. sEV isolates were prepared from serum and plasma using ExoQuick

resultsThe overall miRNA content was higher in plasma sEV preparations (480 miRNAs) and contained 97.5% of the miRNAs found in the serum sEV preparations (412 miRNAs).The expression of commonly expressed miRNAs was highly correlated (Spearman's R = 0.87,

conclusionAlthough plasma sEV preparations contained more miRNAs than serum sEV preparations, they also contained more miRNAs from non-vesicle origins. Serum appears to be more suitable than plasma for sEV miRNAs biomarkers studies.

Indexed as

AdenocarcinomaAgedBiomarkers, TumorBiopsyCirculating MicroRNAEsophageal NeoplasmsEsophagoscopyEsotropiaExosomesFemaleHealthy VolunteersHumansMaleMiddle AgedPlasmaProof of Concept StudyBiomarkers, TumorCirculating MicroRNAAdenocarcinoma of esophagusBiomarkersBlood cellsCirculating microRNAExosomesExtracellular vesiclesMicroRNAsPlasmaReal-time polymerase chain reactionSerum

Identifiers

PMID32523312
PMCPMC7265139
OpenAlexW3030551218

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.