We report here the structure-functional characterization of a novel intronless gene, BRCC2, located on human chromosome 11q24.1. BRCC2 open reading frame (327 bp) codes for an approximately 12-kDa protein (108 amino acids (aa)) localized predominantly in the cytosol and to a lesser extent in the mitochondria. Ectopic expression of BRCC2 cDNA also was found in both the cytosol and mitochondria. Exogenous expression of BRCC2 caused apoptotic cell death in three different cell lines as evidenced by enhanced chromatin condensation, DNA fragmentation, or an enhanced number of cells in the sub-G(1) phase. In human prostate cancer cells (PC-3), BRCC2-induced DNA fragmentation was blocked efficiently by coexpression of the anti-apoptotic molecule, Bcl-X(L). Transient transfection of BRCC2 cDNA into PC-3 cells in the presence of a broad-range caspase inhibitor, Z-VAD-fmk (100 microM, 24 h), abrogated DNA fragmentation. Consistently, BRCC2 expression correlated with the activation of caspase-3 and caspase-9. An N-terminal deletion mutant of BRCC2 (10.2 kDa, Delta1-16 aa) lacking a BH3-like domain (5-12 aa, LPIEGQEI) or BRCC2 containing a mutant BH3-like domain (leucine 5-->glutamate) failed to induce apoptosis, whereas a C-terminal deletion mutant (6.8 kDa, Delta62-108 aa) retained the apoptotic activity comparable to the full-length BRCC2. Finally, the treatment of HeLa cells with doxorubicin or hydrogen peroxide (H(2)O(2)) led to an increase in the mitochondrial (heavy membrane) level of endogenous BRCC2 (doxorubicin (100 ng/ml), 5 h, approximately 2-fold; H(2)O(2) (200 microM), 2 h, approximately 2-fold). These findings demonstrate that BRCC2 functions as a proapoptotic molecule and suggest that BRCC2 induces a caspase-dependent mitochondrial pathway of cell death.
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http://dx.doi.org/10.1074/jbc.M400159200 | DOI Listing |
Eur Urol
January 2025
Department of Oncology, City of Hope Cancer Center, Goodyear, AZ, USA.
Background And Objective: Selection of patients harboring mutations in homologous recombination repair (HRR) genes for treatment with a PARP inhibitor (PARPi) is challenging in metastatic castration-resistant prostate cancer (mCRPC). To gain further insight, we quantitatively assessed the differential efficacy of PARPi therapy among patients with mCRPC and different HRR gene mutations.
Methods: This living meta-analysis (LMA) was conducted using the Living Interactive Evidence synthesis framework.
ESMO Open
January 2025
Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bind.), Section of Medical Oncology, University of Palermo, Palermo, Italy.
Background: Germline pathogenic variants (gPVs) in the breast cancer susceptibility gene 1/2 (BRCA1/2) genes confer high-penetrance susceptibility to breast cancer (BC) and ovarian cancer (OC). Although most female BRCA carriers develop only a single BRCA-associated tumor in their lifetime, a smaller subpopulation is diagnosed with multiple primary tumors (MPTs). The genetic factors influencing this risk remain unclear.
View Article and Find Full Text PDFBMC Cancer
January 2025
Medical and Translational Oncology, Department of Oncology, Azienda Ospedaliera Santa Maria, Viale Tristano Di Joannuccio 1, Terni, 05100, Italy.
Prostate cancer (PCa) ranks among the most prevalent malignancies in men, with notable associations to Hereditary Breast and Ovarian Cancer Syndrome (HBOC) and Lynch Syndrome, both linked to germline likely pathogenetic variant/pathogenetic variant (LPV/PV) in genes involved in DNA repair. Among these genes, BRCA2 in PCa patients is the most frequently altered. Despite progresses, challenges in BRCA carriers detection persist, with a quarter of PCa cases lacking family history.
View Article and Find Full Text PDFPrecis Clin Med
March 2025
Department of Gynecology and Obstetrics, CIO ABCD, University Hospital Düsseldorf, Düsseldorf 40225, Germany.
Background: Circulating cell-free tumor DNA (ctDNA) provides a non-invasive approach for assessing somatic alterations. The German PRAEGNANT registry study aims to explore molecular biomarkers and investigate their integration into clinical practice. In this context, ctDNA testing was included to understand the motivations of clinicians to initiate testing, to identify somatic alterations, and to assess the clinical impact of the results obtained.
View Article and Find Full Text PDFBMC Bioinformatics
January 2025
Department of Applied Computer Science, University of Winnipeg, Winnipeg, MB, R3B 2E9, Canada.
Background: Comprehensively mapping the hierarchical structure of breast cancer protein communities and identifying potential biomarkers from them is a promising way for breast cancer research. Existing approaches are subjective and fail to take information from protein sequences into consideration. Deep learning can automatically learn features from protein sequences and protein-protein interactions for hierarchical clustering.
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