ORIGINAL RESEARCH article
Front. Cell Dev. Biol.
Sec. Cancer Cell Biology
This article is part of the Research TopicTipping the Balance: DNA Replication and Repair Vulnerabilities in CancerView all 6 articles
A base editing resource for functional annotation of DNA repair variants in breast-derived cell models
Provisionally accepted- 1IFOM ETS, the AIRC Institute of Molecular Oncology, Milan, Italy
- 2McGill University, Montreal, Canada
- 3Columbia University, New York, United States
- 4The University of Texas MD Anderson Cancer Center, Houston, United States
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ABSTRACT Background The DNA damage response (DDR) safeguards genome integrity, and its disruption contributes to cancer development, therapy response, and resistance. Large-scale sequencing has identified thousands of DDR gene variants in tumors, but the functional consequences of most remain unclear, limiting their clinical interpretation and application. Results We previously developed CRISPR-dependent base editing screens to functionally characterize DDR variants in breast-derived cell lines. Here, we extend this work to triple-negative breast cancer by performing a large-scale base editing screen in MDA-MB-231 cells. We assessed the impact on cellular fitness of ~11,000 single-guide RNAs (sgRNAs) targeting the coding sequences of 27 DDR genes, primarily involved in homologous recombination (HR) and inter-strand crosslink repair (ICLR). The resulting dataset integrates mutation-associated effects with clinical annotations, enabling functional stratification of variants of uncertain significance. Conclusion Combined with our previous datasets from MCF7 and MCF10A breast-derived cell lines, these results create a standardized, cross-comparable data that uncover both shared and context-specific genetic dependencies. Ultimately, we anticipate this resource will advance the functional interpretation of DDR variants, thereby facilitating the development of precision oncology approaches.
Keywords: base editing, Breast-derived models, CRISPR screen, DDR, Functional Genomics, precision oncology, VUS
Received: 27 Sep 2025; Accepted: 13 Feb 2026.
Copyright: © 2026 Leuzzi, Cuella-Martin, Hayward, Chapdelaine-Trépanier, He, Xu and Ciccia. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Giuseppe Leuzzi
Raquel Cuella-Martin
Alberto Ciccia
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