Epigenetic synthetic lethality as a cancer therapeutic strategy: synergy of experimental and computational approaches

Other authors

Institut Català de la Salut

[Farina-Morillas M, Ollé-Monràs L, Maas SC, Seoane JA] Cancer Computational Biology Group, Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain. [de Rojas-P I, Segura MF] Grup de Recerca de Càncer i Malalties Hematològiques Infantils, Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. Universitat Autònoma de Barcelona, Barcelona, Spain

Vall d'Hebron Barcelona Hospital Campus

Publication date

2025-11-03T13:40:00Z

2025-11-03T13:40:00Z

2025



Abstract

Synthetic lethality; Chromatin remodeling; Epidrugs


Letalidad sintética; Remodelación de la cromatina; Fármacos epidemiológicos


Letalitat sintètica; Remodelació de la cromatina; Fàrmacs epidemiològics


Cancer treatment is an ongoing challenge, as directly targeting oncogenic drivers is often unfeasible in many patients due to the lack of druggable targets. This has led to the exploration of alternative strategies, such as exploiting synthetic lethality (SL) relationships between genes. SL facilitates the indirect targeting of oncogenic drivers, as exemplified by the clinical success of PARP inhibitors against BRCA-mutated tumors. Advances in high-throughput perturbation screens and multi-omics technologies have deepened our understanding of SL relationships, while computational models enhance SL predictions to better reflect biological complexity. However, while numerous experimental and computational methods have been developed to identify SL interactions, difficulties remain in translating these findings into clinical applications.This review combines recent progress on SL relationships in cancer with emerging insights into epigenetic regulation, highlighting how epigenetic drugs (epidrugs) can provide new opportunities for targeted interventions, offering a way to minimize off-target effects and enhance therapeutic precision. To advance SL-based therapies, efforts must focus not only on identifying new SL interactions but also on consolidating existing knowledge and integrating experimental and computational approaches to characterize the vulnerabilities of cancer cells. Strengthening this foundation will be critical for the effective development of SL-based cancer treatments.

Document Type

Article


Published version

Language

English

Publisher

Taylor & Francis

Related items

Epigenomics;17(15)

https://doi.org/10.1080/17501911.2025.2548756

Recommended citation

This citation was generated automatically.

Rights

Attribution-NonCommercial-NoDerivatives 4.0 International

http://creativecommons.org/licenses/by-nc-nd/4.0/

This item appears in the following Collection(s)