PubMed HealthSearch

PubMed · 42447837

The landscape of clonal hematopoiesis of indeterminate potential in long-term breast cancer survivors.

Abstract

BACKGROUND: Clonal hematopoiesis of indeterminate potential (CHIP) can confound blood-based genomics and may be shaped by cytotoxic therapy; clarifying its persistence after breast-cancer chemotherapy is relevant for long-term survivorship follow-up. PATIENTS AND METHODS: Buffy-coat whole-exome sequencing was performed in 189 stage I-III breast-cancer survivors with blood collected a median 136.5 months after diagnosis. CHIP was assessed using a prespecified 100-gene hematopoietic-driver compendium and exome-wide interrogation. Clinical associations were assessed with univariable tests and multivariable logistic regression including chemotherapy, radiotherapy, age, smoking and obesity. RESULTS: Within the 100-gene compendium, 54/189 (28.6%) patients harbored ≥1 variant, predominantly missense, with DNMT3A and TET2 predominating and multi-hit cases rare. In multivariable models, chemotherapy was not associated with panel-defined CHIP (OR 0.77; 95% CI 0.40-1.48; p = 0.432). Similarly, age, adjuvant radiotherapy, obesity and smoking status were not significantly associated with panel-defined CHIP. Gene-level comparisons showed no differences by chemotherapy exposure. Exome-wide, 67/189 (35.4%) patients carried ≥1 variant; chemotherapy was not associated with exome-wide variant positivity (OR 0.89; 95% CI 0.48-1.67; p = 0.721), and no locus differed between chemotherapy-exposed and never-exposed women. CONCLUSION: Buffy-coat WES performed in long-term breast cancer survivors shows no cohort-level association between prior chemotherapy and increased CHIP.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Laura Gálvez-Carvajal, Iñaki Comino-Méndez, Esperanza López-López, Alberto Ríos, Eduardo Zamorano, Silvia Sequero, Álvaro González, Sofía Ruíz, María Carmen Ocaña, Alicia Garrido-Aranda, Rocío Lavado-Valenzuela, Antonio Rueda-Domínguez, Javier Pascual, Emilio Alba. 2026-07-08. The landscape of clonal hematopoiesis of indeterminate potential in long-term breast cancer survivors.. https://doi.org/10.1016/j.breast.2026.104860

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