Evidence map›Paper›PMID 22821209›Full record

ArticleCellular oncology (Dordrecht, Netherlands)2012

Circulating microRNA profiles reflect the presence of breast tumours but not the profiles of microRNAs within the tumours.

Victoria J Cookson, Michael A Bentley, Brian V Hogan, Kieran Horgan, Bruce E Hayward, Lee D Hazelwood, Thomas A Hughes

Abstract read
In one paragraph

Article in Cellular oncology (Dordrecht, Netherlands), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

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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

7 authors.

Victoria J CooksonGene Regulation and Cancer Group, Leeds Institute of Molecular Medicine, University of Leeds, St. James's University Hospital, UK.
Michael A Bentley
Brian V Hogan
Kieran Horgan
Bruce E Hayward
Lee D Hazelwood
Thomas A Hughes

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExtra-cellular microRNAs have been identified within blood and their profiles reflect various pathologies; therefore they have potential as disease biomarkers. Our aim was to investigate how circulating microRNA profiles change during cancer treatment. Our hypothesis was that tumour-related profiles are lost after tumour resection and therefore that comparison of profiles before and after surgery would allow identification of biomarker microRNAs. We aimed to examine whether these microRNAs were directly derived from tumours, and whether longitudinal expression monitoring could provide recurrence diagnoses.

methodsPlasma was obtained from ten breast cancer patients before and at two time-points after resection. Tumour tissue was also obtained. Quantitative PCR were used to determine levels of 367 miRNAs. Relative expressions were determined after normalisation to miR-16, as is typical in the field, or to the mean microRNA level.

results210 microRNAs were detected in at least one plasma sample. Using miR-16 normalisation, we found few consistent changes in circulating microRNAs after resection, and statistical analyses indicated that this normalisation was not justifiable. However, using data normalised to mean microRNA expression we found a significant bias for levels of individual circulating microRNAs to be reduced after resection. Potential biomarker microRNAs were identified, including let-7b, let-7g and miR-18b, with higher levels associated with tumours. These microRNAs were over-represented within the more highly expressed microRNAs in matched tumours, suggesting that circulating populations are tumour-derived in part. Longitudinal monitoring did not allow early recurrence detection.

conclusionsWe concluded that specific circulating microRNAs may act as breast cancer biomarkers but methodological issues are critical.

Indexed as

Gene Expression ProfilingBiomarkers, TumorBreast NeoplasmsFemaleHumansMicroRNAsPostoperative PeriodPreoperative PeriodProspective StudiesReverse Transcriptase Polymerase Chain ReactionTime FactorsBiomarkers, TumorMicroRNAsMIRN18A microRNA, humanmirnlet7 microRNA, human

Identifiers

PMID22821209
PMCPMC12995027

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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.