ArticleJournal of Cancer2026
The scPagwas analysis of single-cell sequencing combined with Bayesian deconvolution with SMR Reveals Tumor Heterogeneity and Predicts Immunotherapy Response in Neuroblastoma.
Article in Journal of Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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6 authors.
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Abstract
Objective: High-risk neuroblastoma, the predominant driver of pediatric cancer deaths, is marked by marked intratumoral heterogeneity that fuels therapy resistance. To predict response to and targets for immunotherapy, we use single-cell and bulk RNA sequencing data to reveal tumor heterogeneity in neuroblastoma, and to identify prognostic genes for neuroblastoma. Methodology: Single-cell data were analyzed for trait-associated subpopulations and genes using single-cell Pathway-based genome-wide association study (scPagwas), and TARGET data were analyzed for differentially expressed genes. Bayesian deconvolution of trait-related subpopulations was performed to analyze the association between differences in convoluted cellular fractions, survival, and clinical traits. Further analysis of the association of convoluted cellular fractions with various immune-related gene sets with immunotherapy. Core gene validation survival, function, and correlation analysis of a convolutional cell-based screen for neuroblastoma. Summary-data-based Mendelian Randomization (SMR) was used to further validate the core genes. Results: Multiple cell subpopulations such as IL7R/CD4 Conclusions: Neuroblastomas have distinct cell subpopulations, and neuroblastomas deficient in the FYB/CD4
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