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Ying-Jian Wang

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Open access Sep 2026

Multimodal AI and single-cell transcriptomics integrate to construct a histopathological prognostic model for bladder cancer, revealing the RTN3-glycolysis axis in chemoresistance

Bladder cancer is a common malignant tumor of the urinary system, and gemcitabine-based chemotherapy often fails because of drug resistance. Tumor heterogeneity, particularly copy number variations (CNVs) heterogeneity at the genomic level, is a core factor that drives disease progression and drug resistance. However,...

Shun-Li Yu, Ying-Jian Wang, Da-Peng Feng et al. · Experimental Hematology & On... · 0 citations

Open access Sep 2026

Machine learning and multi-omics clustering to map cellular rewiring and immune evasion in ccRCC

Immune checkpoint blockade (ICB) efficacy in clear cell renal cell carcinoma (ccRCC) is limited by tumor microenvironment (TME) heterogeneity. Because traditional bulk-derived models lack spatial resolution, we developed an integrated framework connecting macroscopic survival risks to microscopic TME structures. We app...

Zhe Wang, Ying-Jian Wang, Jia-Yi Zhang et al. · Human Genomics · 0 citations

Open access Aug 2026

Integrative multi-omics reveals the POSTN+ CAF–APOE+ macrophage axis drives immunosuppression and progression in prostate cancer

An integrated single-cell atlas defines a critical POSTN+ CAF–APOE+ macrophage unit that is associated with a fibrotic and immunosuppressive TME in advanced prostate cancer, and suggested conserved enrichment and adverse prognostic impact of this stromal-immune axis across diverse tumor types, though tissue-specific co...

Yangzhou Liu, Ao-Chu Liu, Xing-Lai Dai et al. · Frontiers in Immunology · 0 citations