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Background: Next-generation sequencing (NGS) allows for the simultaneous sequencing of multiple cancer predisposition genes. We assessed the frequency and spectrum of germline variations in individuals with ovarian cancer (OC), using whole exome sequencing (WES).
Methods: A total of 92 patients with OC, with or without a family history of cancer, were consecutively recruited between May 2020 and September 2023. Germline DNA was sequenced using WES.
Results: Among the 12 canonical OC predisposition genes recommended by the National Comprehensive Cancer Network (NCCN) guidelines, 26 patients (28.26%) were found to have 28 pathogenic or likely pathogenic variations in 5 genes, including BRCA1 (n = 13), BRCA2 (n = 8), RAD51D (n = 4), BRIP1 (n = 2), and MSH2 (n = 1). Additionally, 24 patients (26.08%) harbored variants of uncertain significance (VUS) in canonical OC predisposition genes or other putative OC predisposition genes, including 3 loss of function variation: NM_001142548.1(RAD54L): c.1825C > T (p.Arg609Ter), NM_002907.3(RECQL): c.796C > T (p.Gln266Ter), and NM_001114132.2 (NBEAL1): c.5837dup (p.Tyr1946Ter). Moreover, we found that the detection rate of predisposition genes was correlated with a family history of malignancies and a personal history of other malignancies.
Conclusions: Using WES, we found that 28.26% of patients with OC had germline cancer-predisposing variations. WES substantially improved the detection rates of a wide spectrum of variations in OC patients and uncovered putative predisposition genes.
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http://dx.doi.org/10.1186/s12885-025-14302-w | DOI Listing |
Plant Biotechnol J
September 2025
Huck Institutes of the Life Sciences, Penn State University, University Park, Pennsylvania, USA.
Black pod disease, caused by a complex of Phytophthora species, poses a severe threat to global cacao production. This study explores the use of CRISPR-Cas9 genome editing to reduce disease susceptibility in Theobroma cacao L. by targeting the TcNPR3 gene, a known negative regulator of plant defence.
View Article and Find Full Text PDFBrain Behav
September 2025
Department of Thoracic Surgery II, Department of Lung Transplantation, Organ Transplantation Center, the First Hospital of Jilin University, Changchun, China.
Background: Ischemic stroke (IS) treatment remains a significant challenge. This study aimed to identify potential druggable genes for IS using a systematic druggable genome-wide Mendelian Randomization (MR) analysis.
Methods: Two-sample MR analysis was conducted to identify the causal association between potential druggable genes and IS.
Vasc Health Risk Manag
September 2025
Department of Biotechnology and Genetic Engineering, Jordan University of Science and Technology, Irbid, 22110, Jordan.
Purpose: Hypertension (HTN) is a complex disorder regulated by multiple physiological systems. Each individual's underlying genetic architecture strongly influences inter-individual variability in therapeutic responses to HTN. Consequently, identifying candidate genes that contribute to the genetic basis of HTN remains a significant challenge.
View Article and Find Full Text PDFBackground: Intervertebral disc degeneration (IDD) is a prevalent spinal condition frequently associated with pain and motor impairment, imposing a substantial burden on quality of life. Despite extensive investigations into the genetic predisposition to IDD, the precise pathogenic genes and molecular pathways involved remain inadequately characterized, underscoring the need for continued research to clarify its genetic underpinnings.
Methods: This study leveraged IDD data from the FinnGen R12 cohort and integrated expression quantitative trait loci data across 49 tissues from the Genotype-Tissue Expression version 8 database to perform a cross-tissue transcriptome-wide association study (TWAS).
Brain Behav
September 2025
Pontificia Universidad Javeriana, Facultad De Ciencias, Departamento de Biología, Biología de Plantas y Sistemas Productivos, Bogotá, Colombia.
Introduction: The study explores shared genetic architecture among major psychiatric disorders-major depressive disorder, bipolar disorder, schizophrenia, and post-traumatic stress disorder-emphasizing their overlapping molecular pathways. Using public datasets, we identified shared genes and examined their functional implications through protein-protein interaction (PPI) networks and gene set enrichment analysis (GSEA).
Methods: Genes associated with each disorder were identified through the NCBI Gene database.