Evidence map›Paper›PMID 29203780›Full record

ArticleScientific reports2017

microRNA Expression in Ethnic Specific Early Stage Breast Cancer: an Integration and Comparative Analysis.

Farah J Nassar, Rabih Talhouk, Nathalie K Zgheib, Arafat Tfayli, Maya El Sabban, Nagi S El Saghir, Fouad Boulos, Mark N Jabbour, Claude Chalala, Rose-Mary Boustany and 8 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 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

18 authors.

Farah J NassarDepartment of Biology, Faculty of Arts and Sciences, American University of Beirut, Beirut, Lebanon.
Rabih TalhoukDepartment of Biology, Faculty of Arts and Sciences, American University of Beirut, Beirut, Lebanon.
Nathalie K ZgheibDepartment of Pharmacology and Toxicology, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.
Arafat TfayliDepartment of Internal Medicine, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.
Maya El SabbanDepartment of Biochemistry, Medical University of South Carolina, Charleston, South Carolina, USA.
Nagi S El SaghirDepartment of Internal Medicine, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.
Fouad BoulosDepartment of Pathology, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.
Mark N JabbourDepartment of Pathology, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.
Claude ChalalaCentre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.
Rose-Mary BoustanyDepartment of Pediatrics and Adolescent Medicine, American University of Beirut Medical Center, Beirut, Lebanon.
Humam KadaraDepartment of Biochemistry and Molecular Genetics, American University of Beirut Medical Center, Beirut, Lebanon.
Zhou ZhangCenter for Population Epigenetics, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Yinan ZhengCenter for Population Epigenetics, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Brian JoyceCenter for Population Epigenetics, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Lifang HouCenter for Population Epigenetics, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Ali BazarbachiDepartment of Internal Medicine, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.
George CalinDepartment of Experimental Therapeutics, Division of Cancer Medicine, University of Texas MD Anderson Cancer Center Houston, Texas, USA.
Rihab NasrDepartment of Anatomy, Cell Biology and Physiological Sciences, Faculty of Medicine, American University of Beirut, Beirut, Lebanon. rn03@aub.edu.lb.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) has a higher incidence in young Lebanese woman as compared to the West. We assessed the microRNA (miRNA) microarray profile of tissues derived from Lebanese patients with early BC and performed mRNA-miRNA integration analysis. 173 miRNAs were significantly dysregulated in 45 BC versus 17 normal adjacent breast tissues, including 74 with a fold change more than two of which 17 were never reported before in cancer. Integration analysis of mRNA-miRNA microarray data revealed a potential role of 51 dysregulated miRNA regulating 719 tumor suppressive or oncogenic mRNA associated with increased proliferation and decreased migration and invasion. We then performed a comparative miRNA microarray profile analysis of BC tissue between these 45 Lebanese and 197 matched American BC patients. Notably, Lebanese BC patients had 21 exclusively dysregulated miRNA (e.g. miR-31, 362-3p, and 663) and 4 miRNA with different expression manner compared to American patients (e.g. miR-1288-star and 324-3p). Some of these differences could reflect variation in patient age at diagnosis or ethnic variation affecting miRNA epigenetic regulation or sequence of miRNA precursors. Our data provide a basis for genetic/epigenetic investigations to explore the role of miRNA in early stage BC in young women, including ethnic specific differences.

Indexed as

AdultBreast NeoplasmsCarcinoma, DuctalCell MovementCell ProliferationEpigenesis, GeneticFemaleGene Expression Regulation, NeoplasticHumansLebanonMicroRNAsNeoplasm StagingOligonucleotide Array Sequence AnalysisRNA, MessengerTranscriptomeTumor Cells, CulturedMicroRNAsRNA, Messenger

Identifiers

PMID29203780
PMCPMC5715135

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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.