Evidence map›Paper›PMID 26484152›Full record

ArticleGenomics data2015

miRNA expression profiling of formalin-fixed paraffin-embedded (FFPE) hereditary breast tumors.

Miljana Tanić, Kira Yanowski, Eduardo Andrés, Gonzalo Gómez-López, María Rodríguez-Pinilla Socorro, David G Pisano, Beatriz Martinez-Delgado, Javier Benítez

Open access · goldAbstract read
In one paragraph

Article in Genomics data, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Miljana TanićHuman Genetics Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.
Kira YanowskiHuman Genetics Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.
Eduardo AndrésBioinformatics Unit, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.
Gonzalo Gómez-LópezBioinformatics Unit, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.
María Rodríguez-Pinilla SocorroPathology Department, Fundación Jimenez Díaz, Madrid, Spain.
David G PisanoBioinformatics Unit, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.
Beatriz Martinez-DelgadoHuman Genetics Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.
Javier BenítezHuman Genetics Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain ; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Madrid, Spain.
Spanish National Cancer Research Centre · ESHospital Universitario Fundación Jiménez Díaz · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hereditary breast cancer constitutes only 5-10% of all breast cancer cases and is characterized by strong family history of breast and/or other associated cancer types. Only ~ 25% of hereditary breast cancer cases carry a mutation in BRCA1 or BRCA2 gene, while mutations in other rare high and moderate-risk genes and common low penetrance variants may account for additional 20% of the cases. Thus the majority of cases are still unaccounted for and designated as BRCAX tumors. MicroRNAs are small non-coding RNAs that play important roles as regulators of gene expression and are deregulated in cancer. To characterize hereditary breast tumors based on their miRNA expression profiles we performed global microarray miRNA expression profiling on a retrospective cohort of 80 FFPE breast tissues, including 66 hereditary breast tumors (13 BRCA1, 10 BRCA2 and 43 BRCAX), 10 sporadic breast carcinomas and 4 normal breast tissues, using Exiqon miRCURY LNA™ microRNA Array v.11.0. Here we describe in detail the miRNA microarray expression data and tumor samples used for the study of BRCAX tumor heterogeneity (Tanic et al., 2013) and biomarkers associated with positive BRCA1/2 mutation status (Tanic et al., 2014). Additionally, we provide the R code for data preprocessing and quality control.

Indexed as

Hereditary breast cancerMicroarraymiRNA

Identifiers

PMID26484152
PMCPMC4535901
OpenAlexW1966338962

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.