PubMed HealthSearch

PubMed · 42704540

Impact of BCL-2 rs2279115 and rs3943258 variants on protein expression and clinical outcome of urothelial bladder carcinoma.

Abstract

BACKGROUND: Urothelial bladder carcinoma (UBC) is the ninth most common malignancy worldwide and ranks thirteenth in cancer-related mortality. A significant challenge in managing non-muscle-invasive UBC (NMIBC) is the high recurrence rate, compounded by a paucity of robust prognostic biomarkers. Given that evasion of apoptosis is a hallmark of carcinogenesis, the apoptosis regulator BCL-2 oncogene plays a critical role by negatively regulating the intrinsic apoptotic pathway, often leading to protein overexpression and malignant cell immortalization. METHODS AND RESULTS: This study evaluated the BCL-2 allelic variants rs2279115 (G > T) and rs3943258 (T > C), including their haplotype structures, in association with BCL-2 immunohistochemical expression in UBC patients. Genetic and immunostaining data were analyzed alongside prognostic factors, environmental exposure, and clinical history. Furthermore, we sought to exhibit BCL-2 immunohistochemical staining patterns via immunofluorescence in selected samples. Our findings revealed that the rs2279115 variant is significantly associated with BCL-2 positive expression. Specifically, the TT genotype in the genotypic model (p = 0.035) and the GT genotype in the overdominant model (p = 0.045) were linked to protein status. Additionally, the CT haplotype was independently associated with high-grade tumors. CONCLUSIONS: The presence of the CT haplotype - in either homozygosity or heterozygosity - exerted a risk effect of high-grade (p = 0.020). In conclusion, these findings suggest that BCL-2 variants, haplotype structures, and immunohistochemical expression may offer relevant insights into the molecular characteristics of urothelial bladder cancer. Further prospective validation is needed to determine whether BCL-2 profiling can serve as a useful complementary tool for risk assessment in clinical practice.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Julia Ayumi Ikeda Kawasaki, Ariane Pereira de Souza, João Pedro Rocha Pontes, Juliana Mara Serpeloni, Janaina Nicolau de Oliveira, André Luís Laforga Vanzela, Fernando Terziotti, Wilner Martinez-Lopez, Karen Brajão de Oliveira, Roberta Losi Guembarovski. 2026-09-07. Impact of BCL-2 rs2279115 and rs3943258 variants on protein expression and clinical outcome of urothelial bladder carcinoma.. https://doi.org/10.1007/s11033-026-12697-8

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans