Breast cancer genome-wide association studies (GWASs) have identified 150 genomic risk regions containing more than 13,000 credible causal variants (CCVs). The CCVs are predominantly noncoding and enriched in regulatory elements. However, the genes underlying breast cancer risk associations are largely unknown. Here, we used genetic colocalization analysis to identify loci at which gene expression could potentially explain breast cancer risk phenotypes. Using data from the Breast Cancer Association Consortium (BCAC) and quantitative trait loci (QTL) from the Genotype-Tissue Expression (GTEx) project and The Cancer Genome Project (TCGA), we identify shared genetic relationships and reveal novel associations between cancer phenotypes and effector genes. Seventeen genes, including NTN4, were identified as potential mediators of breast cancer risk. For NTN4, we showed the rs61938093 CCV at this region was located within an enhancer element that physically interacts with the NTN4 promoter, and the risk allele reduced NTN4 promoter activity. Furthermore, knockdown of NTN4 in breast cells increased cell proliferation in vitro and tumor growth in vivo. These data provide evidence linking risk-associated variation to genes that may contribute to breast cancer predisposition.
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http://dx.doi.org/10.1016/j.ajhg.2020.08.006 | DOI Listing |
Breast Cancer Res
January 2025
Servicio de Oncología, Centro Universitario Contra el Cáncer (CUCC), Hospital Universitario "Dr. José Eleuterio González", Universidad Autónoma de Nuevo León, 66451, Monterrey, Nuevo León, México.
Background: Hereditary predisposition to breast and ovarian cancer syndrome (HBOC) is a pathological condition with increased cancer risk, including breast (BC), ovarian cancer (OC), and others. HBOC pathogenesis is caused mainly by germline pathogenic variants (GPV) in BRCA1 and BRCA2 genes. However, other relevant genes are related to this syndrome diagnosis, prognosis, and treatment, including TP53, PALB2, CHEK2, ATM, etc.
View Article and Find Full Text PDFBioData Min
January 2025
The Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, 90069, USA.
Background: With recent advances in single cell technology, high-throughput methods provide unique insight into disease mechanisms and more importantly, cell type origin. Here, we used multi-omics data to understand how genetic variants from genome-wide association studies influence development of disease. We show in principle how to use genetic algorithms with normal, matching pairs of single-nucleus RNA- and ATAC-seq, genome annotations, and protein-protein interaction data to describe the genes and cell types collectively and their contribution to increased risk.
View Article and Find Full Text PDFJ Transl Med
January 2025
Department of Pathology, Renmin Hospital of Wuhan University, 238 Jiefang-Road, Wuchang District, Wuhan, 430060, P. R. China.
With breast cancer being the most common tumor among women in the world today, it is also the leading cause of cancer-related deaths. Standard treatments include chemotherapy, surgery, endocrine therapy, and targeted therapy. However, the heterogeneity, drug resistance, and poor prognosis of breast cancer highlight an urgent need for further exploration of its underlying mechanisms.
View Article and Find Full Text PDFBMC Psychiatry
January 2025
The First Hospital of Jilin University, Changchun, Jilin Province, China.
Purpose: Breast cancer, as a stressful event, profoundly impacts the entire family, especially patients and their spouses. This study used a dyadic analysis approach to explore the dyadic effects of illness perception on the fear of cancer recurrence (FCR) and whether maladaptive cognitive-emotional regulation strategies acted as a mediator in breast cancer patient-spouse dyads.
Methods: This was a cross-sectional study, and 202 dyads of breast cancer patients and their spouses were enrolled.
BMC Womens Health
January 2025
Institute of Applied Nursing Science, School of Health, Eastern Switzerland University of Applied Sciences, Neumarkt 3, Vadianstrasse 29, St. Gallen, 9000, Switzerland.
Purpose: Women with breast cancer face a high degree of uncertainty. Trust between health providers and patients has been shown to improve patient quality of life and may enhance clinical outcomes. This study aimed to explore the meaning of trust along the treatment pathway.
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