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Analysis of BRCA1 and BRCA2 alternative splicing in predisposition to ovarian cancer

Overview of attention for article published in Experimental & Molecular Pathology, March 2023
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Title
Analysis of BRCA1 and BRCA2 alternative splicing in predisposition to ovarian cancer
Published in
Experimental & Molecular Pathology, March 2023
DOI 10.1016/j.yexmp.2023.104856
Pubmed ID
Authors

Anna Jasiak, Magdalena Koczkowska, Maciej Stukan, Dariusz Wydra, Wojciech Biernat, Ewa Izycka-Swieszewska, Kamil Buczkowski, Michael R Eccles, Logan Walker, Bartosz Wasag, Magdalena Ratajska

Abstract

The mRNA splicing is regulated on multiple levels, resulting in the proper distribution of genes' transcripts in each cell and maintaining cell homeostasis. At the same time, the expression of alternative transcripts can change in response to underlying genetic variants, often missed during routine diagnostics. The main aim of this study was to define the frequency of aberrant splicing in BRCA1 and BRCA2 genes in blood RNA extracted from ovarian cancer patients who were previously found negative for the presence of pathogenic alterations in the 25 most commonly analysed ovarian cancer genes, including BRCA1 and BRCA2. Frequency and spectrum of splicing alterations in BRCA1 and BRCA2 genes were analysed in blood RNA from 101 ovarian cancer patients and healthy controls (80 healthy women) using PCR followed by gel electrophoresis and Sanger sequencing. The expression of splicing events was examined using RT-qPCR. We did not identify any novel, potentially pathogenic splicing alterations. Nevertheless, we detected six naturally occurring transcripts, named BRCA1ΔE9-10, BRCA1ΔE11, BRCA1ΔE11q, and BRCA2ΔE3, BRCA2ΔE12 and BRCA2ΔE17-18 of which three (BRCA1ΔE11q, BRCA1ΔE11 and BRCA2ΔE3) were significantly higher expressed in the ovarian cancer cohort than in healthy controls (p ≤ 0.0001). This observation indicates that the upregulation of selected naturally occurring transcripts can be stimulated by non-genetic mechanisms and be a potential systemic response to disease progression and/or treatment. However, this hypothesis requires further examination.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 20%
Student > Postgraduate 1 20%
Student > Master 1 20%
Unknown 2 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 40%
Nursing and Health Professions 1 20%
Unknown 2 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 November 2023.
All research outputs
#16,785,164
of 25,462,162 outputs
Outputs from Experimental & Molecular Pathology
#632
of 1,080 outputs
Outputs of similar age
#234,094
of 424,142 outputs
Outputs of similar age from Experimental & Molecular Pathology
#3
of 3 outputs
Altmetric has tracked 25,462,162 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,080 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 424,142 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.