Evidence map›Paper›PMID 29560116›Full record

ArticleOncotarget2018

Prognostic role of elevated mir-24-3p in breast cancer and its association with the metastatic process.

Alireza Khodadadi-Jamayran, Betul Akgol-Oksuz, Yelena Afanasyeva, Adriana Heguy, Marae Thompson, Karina Ray, Ariadna Giro-Perafita, Irma Sánchez, Xifeng Wu, Debu Tripathy and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 8% 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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 65 citations in OpenAlex.

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  18. MicroRNAs as therapeutic targets in breast cancer metastasis.Drug delivery and translational research · 2022
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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

13 authors at 5 institutions in 1 country.

Alireza Khodadadi-JamayranApplied Bioinformatics Laboratories, NYU School of Medicine, New York, NY, USA.
Betul Akgol-OksuzDepartment Bioinformatics and Computational Biology, University of Massachusetts Medical School, Worcester, MA, USA.
Yelena AfanasyevaDivision of Epidemiology, NYU School of Medicine, New York, NY, USA.
Adriana HeguyDepartment of Pathology, NYU School of Medicine, New York, NY, USA.
Marae ThompsonDivision of Hematology/Oncology, Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA.
Karina RayGenome Technology Center, NYU School of Medicine, New York, NY, USA.
Ariadna Giro-PerafitaDivision of Hematology/Oncology, Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA.
Irma SánchezDepartment of Pathology, NYU School of Medicine, New York, NY, USA.
Xifeng WuDepartment of Epidemiology, UT MD Anderson Cancer Center, Houston, TX, USA.
Debu TripathyDepartment of Breast Medical Oncology, UT MD Anderson Cancer Center, Houston, TX, USA.
Anne Zeleniuch-JacquotteDivision of Epidemiology, NYU School of Medicine, New York, NY, USA.
Aristotelis TsirigosApplied Bioinformatics Laboratories, NYU School of Medicine, New York, NY, USA.
Francisco J EstevaDivision of Hematology/Oncology, Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA.
New York University · USNYU Langone Health · USThe University of Texas MD Anderson Cancer Center · USNew York Genome Center · USUniversity of Massachusetts Chan Medical School · US

Funding

Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ANIRBAN MAITRA · 1985 to 2026
$83.1M
NCI NIH HHS P30 CA016087
6 · The paper itself

Abstract

MicroRNAs have been shown to play important roles in breast cancer progression and can serve as biomarkers. To assess the prognostic role of a panel of miRNAs in breast cancer, we collected plasma prospectively at the time of initial diagnosis from 1,780 patients with stage I-III breast cancer prior to definitive treatment. We identified plasma from 115 patients who subsequently developed distant metastases and 115 patients without metastatic disease. Both groups were matched by: age at blood collection, year of blood collection, breast cancer subtype, and stage. The median follow up was 3.4 years (range, 1-9 years). We extracted RNA from plasma and analyzed the expression of 800 miRNAs using Nanostring technology. We then assessed the expression of miRNAs in primary and metastatic breast cancer samples from The Cancer Genome Atlas (TCGA). We found that, miR-24-3p was upregulated in patients with metastases, both in plasma and in breast cancer tissues. Patients whose primary tumors expressed high levels of miR-24-3p had a significantly lower survival rate compared to patients with low mir-24-3p levels in the TCGA cohort (n=1,024). RNA-Seq data of the samples with the highest miR-24-3p expression versus those with the lowest miR-24-3p in the TCGA cohort identified a specific gene expression signature for those tumors with high miR-24-3p. Possible target genes for miR-24-3p were predicted based on gene expression and binding site, and their effects on cancer pathways were evaluated. Cancer, breast cancer and proteoglycans were the top three pathways affected by miR-24-3p overexpression.

Indexed as

breast cancergene expression profiling

Identifiers

PMID29560116
PMCPMC5849180
OpenAlexW2789364012

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.