Evidence map›Paper›PMID 25884417›Full record

ArticleBMC cancer2015

BRCA1 Alternative splicing landscape in breast tissue samples.

Atocha Romero, Francisco García-García, Irene López-Perolio, Gorka Ruiz de Garibay, José A García-Sáenz, Pilar Garre, Patricia Ayllón, Esperanza Benito, Joaquín Dopazo, Eduardo Díaz-Rubio and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Tissue-Specific Prevalence and Clonal Architecture ofbioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
  4. BRCA1-No Matter How You Splice It.Cancer research · 2019
    Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
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

12 authors at 4 institutions in 1 country.

Atocha RomeroMolecular Oncology Laboratoy, Instituto de Investigación Sanitaria San Carlos. Center affiliated to the Red Temática de Investigación Cooperativa (RD12/0036/006), Instituto Carlos III, Spanish Ministry of Economy and Competitivy, 28040, Madrid, Spain. atocha10@hotmail.com.
Francisco García-GarcíaComputational Genomics Department, Centro de Investigación Príncipe Felipe, Valencia, Spain. fgarcia@cipf.es.
Irene López-PerolioMolecular Oncology Laboratoy, Instituto de Investigación Sanitaria San Carlos. Center affiliated to the Red Temática de Investigación Cooperativa (RD12/0036/006), Instituto Carlos III, Spanish Ministry of Economy and Competitivy, 28040, Madrid, Spain. irenelopezperolio@gmail.com.
Gorka Ruiz de GaribayBreast Cancer and Systems Biology Unit, Translational Research Laboratory, Catalan Institute of Oncology (ICO), Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, Instituto Carlos III, Spanish Ministry of Economy and Competitivy, Barcelona, 08908, Spain. gorkargp@hotmail.com.
José A García-SáenzBreast Cancer and Systems Biology Unit, Translational Research Laboratory, Catalan Institute of Oncology (ICO), Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, Instituto Carlos III, Spanish Ministry of Economy and Competitivy, Barcelona, 08908, Spain. jagsaenz@yahoo.com.
Pilar GarreMolecular Oncology Laboratoy, Instituto de Investigación Sanitaria San Carlos. Center affiliated to the Red Temática de Investigación Cooperativa (RD12/0036/006), Instituto Carlos III, Spanish Ministry of Economy and Competitivy, 28040, Madrid, Spain. pilar_garre@hotmail.com.
Patricia AyllónMolecular Oncology Laboratoy, Instituto de Investigación Sanitaria San Carlos. Center affiliated to the Red Temática de Investigación Cooperativa (RD12/0036/006), Instituto Carlos III, Spanish Ministry of Economy and Competitivy, 28040, Madrid, Spain. patry_8_lna@hotmail.com.
Esperanza BenitoBreast Cancer and Systems Biology Unit, Translational Research Laboratory, Catalan Institute of Oncology (ICO), Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, Instituto Carlos III, Spanish Ministry of Economy and Competitivy, Barcelona, 08908, Spain. ebarjonilla@hotmail.com.
Joaquín DopazoComputational Genomics Department, Centro de Investigación Príncipe Felipe, Valencia, Spain. jdopazo@cipf.es.
Eduardo Díaz-RubioMolecular Oncology Laboratoy, Instituto de Investigación Sanitaria San Carlos. Center affiliated to the Red Temática de Investigación Cooperativa (RD12/0036/006), Instituto Carlos III, Spanish Ministry of Economy and Competitivy, 28040, Madrid, Spain. eduardo.diazrubio@salud.madrid.org.
Trinidad CaldésMolecular Oncology Laboratoy, Instituto de Investigación Sanitaria San Carlos. Center affiliated to the Red Temática de Investigación Cooperativa (RD12/0036/006), Instituto Carlos III, Spanish Ministry of Economy and Competitivy, 28040, Madrid, Spain. trinidad.caldes@salud.madrid.org.
Miguel de la HoyaMolecular Oncology Laboratoy, Instituto de Investigación Sanitaria San Carlos. Center affiliated to the Red Temática de Investigación Cooperativa (RD12/0036/006), Instituto Carlos III, Spanish Ministry of Economy and Competitivy, 28040, Madrid, Spain. mdhoya@hotmail.com.
Instituto de Salud Carlos III · ESInstitut d'Investigació Biomédica de Bellvitge · ESCentro de Investigacion Principe Felipe · ESInstitut Català d'Oncologia · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBRCA1 is a key protein in cell network, involved in DNA repair pathways and cell cycle. Recently, the ENIGMA consortium has reported a high number of alternative splicing (AS) events at this locus in blood-derived samples. However, BRCA1 splicing pattern in breast tissue samples is unknown. Here, we provide an accurate description of BRCA1 splicing events distribution in breast tissue samples.

methodsBRCA1 splicing events were scanned in 70 breast tumor samples, 4 breast samples from healthy individuals and in 72 blood-derived samples by capillary electrophoresis (capillary EP). Molecular subtype was identified in all tumor samples. Splicing events were considered predominant if their relative expression level was at least the 10% of the full-length reference signal.

results54 BRCA1 AS events were identified, 27 of them were annotated as predominant in at least one sample. Δ5q, Δ13, Δ9, Δ5 and ▼1aA were significantly more frequently annotated as predominant in breast tumor samples than in blood-derived samples. Predominant splicing events were, on average, more frequent in tumor samples than in normal breast tissue samples (P = 0.010). Similarly, likely inactivating splicing events (PTC-NMDs, Non-Coding, Δ5 and Δ18) were more frequently annotated as predominant in tumor than in normal breast samples (P = 0.020), whereas there were no significant differences for other splicing events (No-Fs) frequency distribution between tumor and normal breast samples (P = 0.689).

conclusionsOur results complement recent findings by the ENIGMA consortium, demonstrating that BRCA1 AS, despite its tremendous complexity, is similar in breast and blood samples, with no evidences for tissue specific AS events. Further on, we conclude that somatic inactivation of BRCA1 through spliciogenic mutations is, at best, a rare mechanism in breast carcinogenesis, albeit our data detects an excess of likely inactivating AS events in breast tumor samples.

Indexed as

Alternative SplicingGenes, BRCA1BiopsyBreastBreast NeoplasmsFemaleGene SilencingHumansImmunohistochemistryIn Situ Hybridization, FluorescenceNeoplasm Grading

Identifiers

PMID25884417
PMCPMC4393587
OpenAlexW2076159935

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.