Tumors hijack immune-privileging regulons via distinct cell types to confer T cell desertion and immunotherapy resistance across various cancers
Year: 2026
Type: article
Abstract: Immune checkpoint blockade (ICB) has transformed oncology, yet most patients fail to respond, suffer from hyper-progressive disease, or face severe immune-related toxicities, underscoring the urgent need for biomarkers that identify non-responders. Here we show that tumors co-opt an immune-privileging regulon signature (IMPREG) mirroring transcriptional programs of immune-privileged organs - to enforce T-cell desertion and ICB resistance across solid tumor types. Single-cell and spatial transcriptomic analyses reveal that tumors activate IMPREG through three distinct cellular routes: malignant cells adopting immature neuronal states, cancer-associated fibroblasts assuming myofibroblast identities, or endothelial cells - each creating localized niches of immune suppression and antigen-presentation collapse. Across 4 discovery and 36 validation clinical datasets, IMPREG consistently predicts immunotherapy resistance in 14 distinct cancer types, functioning as an orthogonal marker independent of established biomarkers. Crucially, IMPREG-expressing tumors show enhanced sensitivity to EGFR inhibitors or anti-angiogenic therapies in specific tumor entities. These findings suggest IMPREG as a dual-utility predictive biomarker for personalized treatment stratification.
Source: Nature Communications
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $6,990
Awards: G1742171491, G2144662876, G2206590661, G2438032066, G2592393619, G2796655040, G3025648356, G3116921031, G3226045097, G34221693, XSEDE 2.0: Integrating, Enabling and Enhancing National Cyberinfrastructure with Expanding Community Involvement, Role of Core-Binding Factor Rearrangements in Triple-Negative Breast Cancer Progression and Immune Evasion, G3938010021, G4368971757, G4913963318, High-Throughput Computing for Genomics and Bioinformatics Research, G5850682332, Intragenic Rearrangement Burden as a Genomic Predictor of Immunotherapy Benefit in Triple-Negative Breast Cancer, G642779400, G6966134840, Category I: Bridges-2: Scalable Converged Computing, Data, and Analytics for Rapidly Evolving Science and Engineering Research, G741073515, Therapeutic Implications of TNBC-Specific ETV6 Rearrangements: Chemoresistance and Immune Evasion, G7682073829, G7807906863, G8468220766, G8526614263, G8887262216, G9000010196, G9000017008, G9000028255, G9000051299, G9000080943, G9000091913, G9000265539
OpenAlex ID: W7160694658
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