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A programmed cell death learning signature predicts immunotherapy response and identifies AP1S1 as a regulator of immune exclusion in breast cancer.
This study establishes the PCDsig developed is a potential prognostic and predictive biomarker for breast cancer and provides the first evidence of AP1S1 as a core immunomodulatory oncogene that mediates immune exclusion.
Dissecting liver cancer stem cell heterogeneity via single-cell RNA sequencing and developing a stemness-based prognostic model.
The C3C4-SPS model provides a novel tool for prognostic assessment and potentially individualized therapy targeting stemness-associated features in hepatocellular carcinoma and performed robustly in ROC and PCA validation.