PubMed HealthSearch

PubMed · 41611842

Loss of BOK increases vulnerability of p53 deficient non-small cell lung cancer cells to ATR inhibition through its role in uridine metabolism.

Abstract

BOK is a pro-apoptotic member of the BCL-2 family frequently repressed in cancer and with emerging roles beyond apoptosis. BOK interacts with and increases uridine monophosphate synthetase (UMPS) activity, thereby promoting uridine monophosphate (UMP) synthesis. We previously showed that BOK protein is downregulated in primary human lung cancer samples, correlating with poorer patient survival. Here, we demonstrate that BOK deficiency increases DNA damage, triggering p53 activation and cell cycle arrest in two independent non-small cell lung cancer (NSCLC) cell models that express either WT or defective p53. In a p53-deficient setting, BOK loss caused elevated baseline DNA damage rendering cells more dependent on alternative DNA repair pathways. We exploited this vulnerability by inhibiting the ATR-mediated DNA damage response pathway with the selective ATR inhibitor ceralasertib (AZD6738). ATR inhibition in BOK/p53 compound-deficient NSCLC cells exacerbated DNA damage and induced cell death, indicating a synthetic lethal interaction. The DNA damage in BOK-deficient cells was rescued by a cell permeable BOK-BH3-derived peptide, confirming the mechanistic link between BOK and UMPS. Taken together, our findings reveal a vulnerability in NSCLC, where combined loss of p53 and BOK sensitises cells to ATR inhibition. This synthetic interaction suggests that p53-deficient tumours with reduced BOK expression may be more reliant on ATR-mediated DNA repair, providing a mechanistic basis for their susceptibility to ATR inhibitors. Given the frequent inactivation of p53 in lung cancer, our study offers a rationale for clinical exploration of ATR inhibitors, in combination with standard chemotherapy, in the context of reduced BOK function. Future investigations into the broader role of BOK in genomic stability and nucleotide metabolism may uncover additional therapeutic strategies for cancers with repressed BOK.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Philippe JeanRichard, Aparna Ananthanarayan, Liyang Wu, Ali Jazaeri Jouneghani, Daniel Bachmann, Thomas Kaufmann. 2026-01-29. Loss of BOK increases vulnerability of p53 deficient non-small cell lung cancer cells to ATR inhibition through its role in uridine metabolism.. https://doi.org/10.1038/s41418-026-01666-0

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