Evidence map›Paper›PMID 21326627›Full record

ArticleJournal of Cancer2011

miR-21 Expression in Pregnancy-Associated Breast Cancer: A Possible Marker of Poor Prognosis.

Beatriz A Walter, Gabriela Gómez-Macias, Vladimir A Valera, Mark Sobel, Maria J Merino

Open access · goldAbstract read
In one paragraph

Article in Journal of Cancer, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 5 pooled it
2.0field-weighted citation impact, top 14% 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

28 citing papers in PubMed, 5 syntheses or guidelines pooled it, 50 citations in OpenAlex.

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  16. The fundamental role of miR-10b in metastatic cancer.American journal of cancer research · 2018
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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

5 authors at 2 institutions in 1 country.

Beatriz A Walter1. Laboratory of Pathology, National Institutes of Health, National Cancer Institute, Bethesda, MD, USA;
Gabriela Gómez-Macias
Vladimir A Valera
Mark Sobel
Maria J Merino
National Cancer Institute · USNational Institutes of Health · US

Funding

Translational Surgical PathologyZIESC000853 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI MERINO, MARIA · 2009 to 2025
$4.3M
6 · The paper itself

Abstract

aimsmicroRNAs (miRNAs) are a class of small noncoding RNAs that can act as key modulators in tumorigenesis-related genes. Specifically, it has been suggested that miR-21 overexpression plays a role in the development and progression of breast cancer. So far, the role of miRNAs in pregnancy-associated breast cancer (PABC) has not been investigated. METHODS AND

resultsWe evaluated miR-21 expression by quantitative RT-PCR in 35 patients, 25 with PABC and 10 control breast cancer cases not pregnancy-associated with similar clinicopathological features. We then analyzed protein expression for PTEN, BCL2 and PDCD4 as miR-21 target genes by IHC, and finally correlated the results with patients' clinicopathological features.Significant overexpression of miR-21 in PABC tumors compared to normal adjacent tissue was found. Overexpression of miR-21 was frequently found in high grade tumors with loss of hormone receptor expression and was significantly associated with positive lymph nodes (p=0.025). In PABC patients, PTEN, BCL2 and PDCD4 target protein expression was decreased in 80%, 76% and 40% respectively.

conclusionOur study supports the involvement of miR-21 in breast cancer progression and metastasis formation in PABC implying a role of this miRNA as a marker for poor prognosis in PABC patients.

Indexed as

breast cancermicroRNAmiR-21Pregnancy-associated breast cancerPTEN.

Identifiers

PMID21326627
PMCPMC3039223
OpenAlexW2107398122

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.