Brief Report - (2025) Volume 13, Issue 1
Synthetic Lethality between Cancer Driver Genes and DNA Repair Pathways in Triple-negative Breast Cancer
Greefeld Warn*
*Correspondence:
Greefeld Warn, Department of Urology, University of California, San Francisco,
USA,
Email:
Department of Urology, University of California, San Francisco, USA
Received: 28-Jan-2025, Manuscript No. JCMG-25-165722;
Editor assigned: 30-Jan-2025, Pre QC No. P-165722;
Reviewed: 13-Feb-2025, QC No. Q-165722;
Revised: 20-Feb-2025, Manuscript No. R-165722;
Published:
27-Feb-2025
, DOI: 10.37421/2472-128X.2025.13.318
Citation: Warn, Greefeld. "Synthetic Lethality between Cancer Driver Genes and DNA Repair Pathways in Triple-negative Breast Cancer." J Clin Med Genomics 13 (2025): 318.
Copyright: © 2025 Warn G. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Introduction
Triple-Negative
Breast Cancer (TNBC) is a clinically aggressive and molecularly heterogeneous subtype of
breast cancer characterized by the absence of estrogen receptor,
progesterone receptor, and HER2 amplification. Due to the lack of targeted therapies, TNBC is typically treated with chemotherapy, which is often associated with high relapse rates and poor prognosis. Recent advances in
cancer genomics have revealed that TNBC harbors frequent mutations in a distinct set of
cancer driver genes, including TP53, BRCA1, MYC, and PIK3CA. A promising therapeutic strategy for TNBC lies in exploiting synthetic lethality, a concept where the simultaneous perturbation of two genes results in cell death, whereas alteration of either gene alone is tolerable. Targeting DNA repair pathways that interact synthetically with driver gene mutations may provide selective vulnerabilities unique to TNBC cells, offering new avenues for treatment [1].
Description
In this study, we systematically investigate synthetic lethal interactions between recurrent cancer driver gene mutations and DNA repair pathway components in TNBC. Utilizing a combination of large-scale genomic datasets from The Cancer Genome Atlas (TCGA) and functional screening data from CRISPR-Cas9 and RNA interference platforms, we identify gene pairs whose co-inactivation selectively impairs TNBC cell viability. Our approach integrates mutation profiling with DNA repair gene expression, pathway activity scores, and cell line dependency data to uncover functionally relevant interactions. Notably, we find that BRCA1-deficient TNBC tumors display heightened sensitivity to the loss of specific DNA damage response regulators such as PARP1, ATR, and RAD51, confirming known synthetic lethal relationships and validating our methodology. Beyond BRCA1, we identify novel interactions, such as synthetic lethality between
TP53 mutations and replication stress response genes, suggesting broader therapeutic targets [2].
Further experimental validation in TNBC cell lines confirms the functional impact of several of these synthetic lethal pairs, demonstrating increased cell death and impaired DNA repair capacity upon co-inhibition [3,4]. These effects are not observed in non-TNBC or BRCA1-proficient cells, highlighting the specificity and therapeutic potential of these interactions. In parallel, transcriptomic analysis of
tumor samples reveals that some driver gene mutations are associated with compensatory upregulation of DNA repair pathways, indicating adaptive responses that could be exploited through synthetic lethal targeting [5].
Conclusion
In conclusion, this study identifies and characterizes synthetic lethal relationships between
cancer driver genes and DNA repair pathways in triple-negative breast cancer, offering a mechanistic framework for the development of targeted therapies. By integrating genomic, transcriptomic, and functional data, we uncover both known and novel vulnerabilities in TNBC that may guide personalized treatment approaches. These findings support the clinical potential of synthetic lethality-based strategies to overcome the therapeutic limitations in TNBC and highlight the importance of DNA repair processes in shaping
tumor response to genetic perturbations.
Acknowledgment
None.
Conflict of Interest
None.
References
- Cardoso, Fatima, Laura J. van’t Veer, Jan Bogaerts and Leen Slaets, et al. "70-gene signature as an aid to treatment decisions in early-stage breast cancer." N Engl J Med 375 (2016): 717-729.
Google Scholar Cross Ref Indexed at
- Paik, Soonmyung, Steven Shak, Gong Tang and Chungyeul Kim, et al. "A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer." N Engl J Med 351 (2004): 2817-2826.
Google Scholar Cross Ref Indexed at
- Filipits, Martin, Torsten O. Nielsen, Margaretha Rudas and Richard Greil, et al. "The PAM50 risk-of-recurrence score predicts risk for late distant recurrence after endocrine therapy in postmenopausal women with endocrine-responsive early breast cancer." Clin Cancer Res 20 (2014): 1298-1305.
Google Scholar Cross Ref
- Liu, Zitao, Liang Sun, Xingyu Peng and Jinfeng Zhu, et al. "PANoptosis subtypes predict prognosis and immune efficacy in gastric cancer." Apoptosis 29 (2024): 799-815.
Google Scholar Cross Ref Indexed at
- Lundberg, Arian, Linda S. Lindström, J. Chuck Harrell and Claudette Falato, et al. "Gene expression signatures and immunohistochemical subtypes add prognostic value to each other in breast cancer cohorts." Clin Cancer Res 23 (2017): 7512-7520.
Google Scholar Cross Ref Indexed at