Functional Analysis of BRCA1 3’UTR Variants Predisposing to Breast Cancer

Diana Carolina Sierra Díaz, Rodrigo Cabrera Perez, Laura Alejandra Gonzalez-Vasquez, Mariana Angulo-Aguado, Kevin Llinás-Caballero, Dora Janeth Fonseca Mendoza, Nora Constanza Contreras Bravo, Carlos Martin Restrepo Fernandez, Oscar Javier Ortega Recalde, Adrien Morel

Research output: Contribution to specialist publicationArticle

Abstract

Purpose: Breast Cancer (BC) is the main female cancer diagnosed worldwide, and it has been described that few genes, such as BRCA1, have a high penetrance for this type of cancer. In this manuscript, we were interested in evaluating the effect of 3’UTR variants on BRCA1 expression.

Patients and Methods: To accomplish this objective, Whole Exome Sequencing (WES) data of 400 patients with unselected BC was used to filter variants located in the region of interest of BRCA1 gene, finding two of them (c.*36C>G and c.*369_373del). miRGate and miRanda in silico tools were used to predict microRNA (miRNA) interaction.

Results: The two variants (c.*36C>G, c.*369_373del) were predicted to affect miRNA interaction. After cloning of BRCA1 3’UTR into pMIR-Report vector, the construct was transfected into two BC cell lines (MDA-MB-231 and MCF-7), and the variant c.*36C>G evidenced overexpression of reporter gene luciferase, showing that the transcript was not being degraded by the miRNA in MDA-MB-231 cells.

Conclusion: The variant seems to protect against Triple Negative BC probably due to the expression level of miRNA in this particular cell line (MDA-MB-231). This is consistent with the clinical history of the patients who harbor BC Hormone Receptors positive (HR+).
Translated title of the contributionAnálisis funcional de las variantes BRCA1 3'UTR que predisponen al cáncer de mama
Original languageEnglish (US)
Pages57-62
Number of pages6
Volume2024
No17
Specialist publicationThe application of clinical genetics
DOIs
StatePublished - May 23 2024

All Science Journal Classification (ASJC) codes

  • Genetics

Fingerprint

Dive into the research topics of 'Functional Analysis of BRCA1 3’UTR Variants Predisposing to Breast Cancer'. Together they form a unique fingerprint.

Cite this