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Nature Cell Biology · Nov 17, 2025

DNA fragmentation factor B suppresses interferon to enable cancer persister cell regrowth

Oncogene-targeted cancer therapies can provide deep responses but frequently suffer from acquired resistance. Therapeutic approaches to treat tumours that have acquired drug resistance are complicated by continual tumour evolution and multiple co-occurring resistance mechanisms. Rather than treating resistance after it emerges, it may be possible to prevent it by inhibiting the adaptive processes that initiate resistance, but these are poorly understood. Here we report that residual cancer persister cells that survive oncogene-targeted therapy are growth arrested by drug stress-induced intrinsic type I interferon signalling. To escape growth arrest, persister cells leverage apoptotic machinery to transcriptionally suppress interferon-stimulated genes (ISGs). Mechanistically, persister cells sublethally engage apoptotic caspases to activate DNA endonuclease DNA fragmentation factor B (also known as caspase-activated DNase), which induces DNA damage, mutagenesis and stress response factor activating transcription factor 3 (ATF3). ATF3 limits activator protein 1-mediated ISG expression sufficiently to allow persister cell regrowth. Persister cells deficient in DNA fragmentation factor B or ATF3 exhibit high ISG expression and are consequently unable to regrow. Therefore, sublethal apoptotic stress paradoxically promotes the regrowth of residual cancer cells that survive drug treatment.

Apoptosis Cancer biology



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Nature Cell Biology · Oct 13, 2025

CoCo-ST detects global and local biological structures in spatial transcriptomics datasets

Spatial domain detection methods often focus on high-variance structures, such as tumour-adjacent regions with sharp gene expression changes, while missing low-variance structures with subtle gene expression shifts, like those between adjacent normal and early adenoma regions. Here, to address this, we introduce ‘compare and contrast spatial transcriptomics’ (CoCo-ST), a graph contrastive feature representation framework. By comparing a target sample with a background sample, CoCo-ST detects both high-variance, broadly shared structures and low-variance, tissue-specific features. It offers technical advantages, including multisample integration, batch-effect correction and scalability across technologies from spot-level Visium data to single-cell Xenium Prime 5K and subcellular Visium HD data. We benchmarked CoCo-ST against ten state-of-the-art spatial-domain-detection algorithms using mouse lung precancerous samples, demonstrating its superior ability to identify low-variance spatial structures overlooked by other methods. CoCo-ST also effectively distinguishes cell clusters and niche structures in Visium HD and Xenium Prime 5K data. CoCo-ST is accessible at GitHub ( https://github.com/WuLabMDA/CoCo-ST ). Wu, Zhang and colleagues introduce ‘compare and contrast spatial transcriptomics’ (CoCo-ST), a graph contrastive learning-based method for spatial transcriptomics analysis that detects low-variance structures.

Bioinformatics Cancer models Computational biology and bioinformatics biology mouse experiments


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Nature Cell Biology · Sep 09, 2025

CD160 dictates anti-PD-1 immunotherapy resistance by regulating CD8+T cell exhaustion in colorectal cancer

The colon exhibits higher propensity for tumour development than ileum. However, the role of immune microenvironment differences in driving this disparity remains unclear. Here, by comparing paired ileum and colon samples from patients with colorectal cancer (CRC) and healthy donors, we identified ileum-enriched CD160+CD8+T cells with previously unrecognized characteristics, including resistance to terminal exhaustion and strong clonal expansion. The transfer of CD160+CD8+T cells significantly inhibits tumour growth in microsatellite instability-high and inflammation-induced CRC models.Cd160knockout accelerates tumour growth, which is mitigated by transferring CD160+CD8+T cells. Notably, in microsatellite instability-high and anti-PD-1-resistant CRC models, CD160+CD8+T cells improve anti-PD-1 efficacy and overcome its resistance by increasing tumour-infiltrating progenitor-exhausted T cells, nearly eradicating tumours. Mechanistically, we uncover a CD160–PI3K (p85α) interaction that promotes FcεR1γ and 4-1BB expression via the AKT–NF-κB pathway, thereby enhancing CD8+T cell cytotoxicity. Our study reveals CD160 as a crucial regulator of CD8+T cell function and proposes an innovative immunotherapy strategy of transferring CD160+CD8+T cells to overcome anti-PD-1 resistance.

Cancer immunotherapy Cancer therapeutic resistance Colorectal cancer T cells Immunology Cancer Mouse Drug Development Clinical