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Chang-Ming Huang

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Open access Aug 2026

A CT-based deep learning model with biological interpretation for predicting early recurrence after neoadjuvant therapy in gastric cancer.

Objective To achieve accurate prediction of early recurrence (ER) in locally advanced gastric cancer (LAGC) patients after neoadjuvant therapy (NAT) and surgery, we constructed a deep learning fusion model integrating preoperative computed tomography (CT) imaging and perioperative clinicopathological features. Method...

Cai-Ming Weng, Q. Zhong, Li-Hong Chen et al. · 0 citations
Open access Jan 2026

Multiomics Analysis Reveals CTHRC1+ CAFs Drive Immunosuppressive Niches and Predict Immunotherapy Resistance in Gastric Cancer

These findings establish CTHRC1+ CAFs as a critical stromal determinant of immune exclusion in GC, suggesting that targeting the CTHRC1+ CAF‐MIF axis or applying CRS‐guided patient stratification may enhance immunotherapy efficacy.

Ying-Xin Wu, Ling-han Tang, Ping Li et al. · 0 citations

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