Evidence map›Paper›PMID 27538962›Full record

ArticleBMC biotechnology2016

A comparison between quantitative PCR and droplet digital PCR technologies for circulating microRNA quantification in human lung cancer.

Paola Campomenosi, Elisabetta Gini, Douglas M Noonan, Albino Poli, Paola D'Antona, Nicola Rotolo, Lorenzo Dominioni, Andrea Imperatori

Abstract readComparative StudyEvaluation StudyValidation Study
In one paragraph

Article in BMC biotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed
–field-weighted citation impact
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

75 citing papers in PubMed.

  1. Review
  2. Microfluidic platform for nanoliter qPCR of several retinal pigment epithelial (RPE) cells.Journal of micromechanics and microengineering : structures, devices, and systems · 2026
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15 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

8 authors.

Paola CampomenosiDepartment of Biotechnology and Life Sciences (DBSV) and "The Protein Factory", University of Insubria, Via JH Dunant, 3, 21100, Varese, Italy. paola.campomenosi@uninsubria.it.ORCID 0000-0002-8853-1134
Elisabetta GiniDepartment of Biotechnology and Life Sciences (DBSV) and "The Protein Factory", University of Insubria, Via JH Dunant, 3, 21100, Varese, Italy.
Douglas M NoonanDepartment of Biotechnology and Life Sciences (DBSV) and "The Protein Factory", University of Insubria, Via JH Dunant, 3, 21100, Varese, Italy.
Albino PoliDepartment of Public Health and Community Medicine, University of Verona, Verona, Italy.
Paola D'AntonaDepartment of Biotechnology and Life Sciences (DBSV) and "The Protein Factory", University of Insubria, Via JH Dunant, 3, 21100, Varese, Italy.
Nicola RotoloDepartment of Surgical Sciences and Human Morphology, DSCM, University of Insubria, Via Guicciardini, 9, 21100, Varese, Italy.
Lorenzo DominioniDepartment of Surgical Sciences and Human Morphology, DSCM, University of Insubria, Via Guicciardini, 9, 21100, Varese, Italy.
Andrea ImperatoriDepartment of Surgical Sciences and Human Morphology, DSCM, University of Insubria, Via Guicciardini, 9, 21100, Varese, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelected microRNAs (miRNAs) that are abnormally expressed in the serum of patients with lung cancer have recently been proposed as biomarkers of this disease. The measurement of circulating miRNAs, however, requires a highly reliable quantification method. Quantitative real-time PCR (qPCR) is the most commonly used method, but it lacks reliable endogenous reference miRNAs for normalization of results in biofluids. When used in absolute quantification, it must rely on the use of external calibrators. Droplet digital PCR (ddPCR) is a recently introduced technology that overcomes the normalization issue and may facilitate miRNA measurement. Here we compared the performance of absolute qPCR and ddPCR techniques for quantifying selected miRNAs in the serum.

resultsIn the first experiment, three miRNAs, proposed in the literature as lung cancer biomarkers (miR-21, miR-126 and let-7a), were analyzed in a set of 15 human serum samples. Four independent qPCR and four independent ddPCR amplifications were done on the same samples and used to estimate the precision and correlation of miRNA measurements obtained with the two techniques. The precision of the two methods was evaluated by calculating the Coefficient of Variation (CV) of the four independent measurements obtained with each technique. The CV was similar or smaller in ddPCR than in qPCR for all miRNAs tested, and was significantly smaller for let-7a (p = 0.028). Linear regression analysis of the miRNA values obtained with qPCR and ddPCR showed strong correlation (p < 0.001). To validate the correlation obtained with the two techniques in the first experiment, in a second experiment the same miRNAs were measured in a larger cohort (70 human serum samples) by both qPCR and ddPCR. The correlation of miRNA analyses with the two methods was significant for all three miRNAs. Moreover, in our experiments the ddPCR technique had higher throughput than qPCR, at a similar cost-per-sample.

conclusionsAnalyses of serum miRNAs performed with qPCR and ddPCR were largely concordant. Both qPCR and ddPCR can reliably be used to quantify circulating miRNAs, however, ddPCR revealed similar or greater precision and higher throughput of analysis.

Indexed as

Biomarkers, TumorBiotechnologyBlood Chemical AnalysisChemical FractionationGenetic MarkersHumansLung NeoplasmsMicroRNAsReal-Time Polymerase Chain ReactionReproducibility of ResultsSensitivity and SpecificityBiomarkers, TumorGenetic MarkersMicroRNAsDroplet digital PCRLung cancermicroRNAsqPCRSerum biomarkers

Identifiers

PMID27538962
PMCPMC4991011

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Registered trials

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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.