Search PubMedSearch

PubMed · 40960710

Cancer spectrum in Mexican patients with the CHEK2 p.(Leu236Pro) variant: a retrospective study.

Abstract

This study aimed to characterize, for the first time, the cancer spectrum associated with the most frequent pathogenic CHEK2 variant-NM_007194.4(CHEK2):c.707T > C p.(Leu236Pro)-in Mexican individuals. Although this variant is frequently detected through multi-gene panel testing, limited data on its associated cancer risks complicates genetic counseling and surveillance strategies. We retrospectively analyzed 5,759 patients who underwent multi-gene panel testing between August 2015 and August 2024 due to suspected hereditary cancer syndromes. Among them, 58 CHEK2 p.(Leu236Pro) carriers with confirmed cancer diagnoses were identified. Geographical clustering was observed, with 81% of patients originating from central Mexico, suggesting a possible founder effect. Ten distinct clinical indications for genetic testing were identified, with hereditary breast and ovarian cancer (HBOC) syndrome being the most common (74.1%). The mean age at first diagnosis among carriers was 43.8 ± 12 years, and 61.1% of them reported a family history of cancer in first- or second-degree relatives. A second or third primary cancer occurred in 20.7% of cases. Tumors were identified in 12 anatomical sites. Breast cancer predominated (67.6%, including one male case), followed by ovarian (8.1%), prostate (6.7%), gastric (4.1%), thyroid (2.7%), and endometrial (2.7%) cancers. Lymphoma, lung, sacrococcygeal bone, colorectal, and non-melanoma skin cancers each occurred in a single patient. Significant risk association was identified only for breast, ovarian, and gastric cancers. These results highlight the need for personalized surveillance, especially for breast cancer. Incorporating CHEK2 p.(Leu236Pro) into clinical decision-making tools may enhance risk assessment in the Mexican population, but larger studies are needed to refine risk estimates and to clarify the possible founder effect.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

L Leonardo Flores-Lagunes, Rosa María Alvarez-Gómez, Carolina Molina-Garay, Marco Jimenez-Olivares, Pablo Arturo Acosta-Mendez, Joaquin García-Solorio, Sebastián Prida-Riba, Karol Carillo-Sanchez, Elvia Cristina Mendoza-Caamal, Marcela Angélica De la Fuente-Hernández, Verónica Zoraya Fragoso-Ontiveros, Rodrigo Estefano Reyes Casarrubias, Carmen Alaez-Verson. 2025-09-17. Cancer spectrum in Mexican patients with the CHEK2 p.(Leu236Pro) variant: a retrospective study.. https://doi.org/10.1007/s10689-025-00490-8

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