Evidence map›Paper›PMID 31077182›Full record

ArticleBMC cancer2019

Circulating microRNAs miR-331 and miR-195 differentiate local luminal a from metastatic breast cancer.

Peter McAnena, Kahraman Tanriverdi, Catherine Curran, K Gilligan, Jane E Freedman, James A L Brown, Michael J Kerin

Abstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 2 pooled it
–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

53 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  18. Cell-Free miRNAs as Non-Invasive Biomarkers in Brain Tumors.Diagnostics (Basel, Switzerland) · 2023
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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.

Peter McAnenaDiscipline of Surgery, Lambe Institute for Translational Research, School of Medicine, National University of Ireland Galway, Galway, Ireland.ORCID http://orcid.org/0000-0003-1179-7150
Kahraman TanriverdiUMass Memorial Heart & Vascular Center, University of Massachusetts Medical School, The Albert Sherman Center, 7th Floor West, AS7-1051, 368 Plantation St, Worcester, MA, 01605-4319, USA.
Catherine CurranDiscipline of Surgery, Lambe Institute for Translational Research, School of Medicine, National University of Ireland Galway, Galway, Ireland.
K GilliganDiscipline of Surgery, Lambe Institute for Translational Research, School of Medicine, National University of Ireland Galway, Galway, Ireland.
Jane E FreedmanUMass Memorial Heart & Vascular Center, University of Massachusetts Medical School, The Albert Sherman Center, 7th Floor West, AS7-1051, 368 Plantation St, Worcester, MA, 01605-4319, USA.
James A L BrownDiscipline of Surgery, Lambe Institute for Translational Research, School of Medicine, National University of Ireland Galway, Galway, Ireland. james.brown@nuigalway.ie.ORCID http://orcid.org/0000-0002-3155-0334
Michael J KerinDiscipline of Surgery, Lambe Institute for Translational Research, School of Medicine, National University of Ireland Galway, Galway, Ireland. Michael.kerin@nuigalway.ie.

Funding

Breast Cancer Research N/A
6 · The paper itself

Abstract

backgroundBreast cancer is the leading cause of cancer related death in women, with metastasis the principle cause of mortality. New non-invasive prognostic markers are needed for the early detection of metastasis, facilitating treatment decision optimisation. MicroRNA (miRNA) are small, non-coding RNAs regulating gene expression and involved in many cellular processes, including metastasis. As biomarkers, circulating miRNAs (in blood) hold great promise for informing diagnosis or monitoring treatment responses.

methodsPlasma extracted RNA from age matched local Luminal A (n = 4) or metastatic disease (n = 4) were profiled using Next Generation Sequencing. Selected differentially expressed miRNA were validated on a whole blood extracted miRNA cohort [distant metastatic disease (n = 22), local disease (n = 31), healthy controls (n = 21)]. Area Under the Curve (AUC) in Receiver Operating Characteristic (ROC) analyses was performed.

resultsOf 4 miRNA targets tested (miR-181a, miR-329, miR-331, miR-195), mir-331 was significantly over-expressed in patients with metastatic disease, compared to patients with local disease (p < 0.001) or healthy controls (p < 0.001). miR-195 was significantly under-expressed in patients with metastatic disease, compared to patients with local disease (p < 0.001) or healthy controls (p = 0.043). In combination, miR-331 and miR-195 produced an AUC of 0.902, distinguishing metastatic from local breast cancer.

conclusionsWe identified and validated two circulating miRNAs differentiating local Luminal A breast cancers from metastatic breast cancers. Further investigation will reveal the molecular role of these miRNAs in metastasis, and determine if they are subtype specific. This work demonstrates the ability of circulating miRNA to identify metastatic disease, and potentially inform diagnosis or treatment effectiveness.

Indexed as

Up-RegulationAdultAgedBiomarkers, TumorBreast NeoplasmsDiagnosis, DifferentialFemaleGene Expression Regulation, NeoplasticHigh-Throughput Nucleotide SequencingHumansMicroRNAsMiddle AgedNeoplasm MetastasisProspective StudiesROC CurveSequence Analysis, RNABiomarkers, TumorMicroRNAsMIRN195 microRNA, humanMIRN331 microRNA, humanBiomarkerBreastCancerMetastasismiR-195miR-331miRNA

Identifiers

PMID31077182
PMCPMC6511137

What OpenQuestion holds

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LicenceCC BY
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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.