Research identifies an immune-privileged niche linked to immunotherapy resistance in esophageal carcinoma, suggesting new treatment strategies.
Background Neoadjuvant immunotherapy has reshaped the treatment paradigm for esophageal squamous cell carcinoma (ESCC), yet mechanisms of resistance in non-responders remain poorly understood. Specifically, the spatial orchestration of the tumor microenvironment that limits effective antitumor immunity is not fully elucidated. Methods Integrating spatial transcriptomic analysis with large-scale tissue pathology, we mapped the spatial architecture of the immune landscape in immunotherapy-resistant ESCC to identify cellular and molecular determinants of treatment failure. Results We revealed a distinct immune exclusion phenotype in non-responders, characterized by peritumoral CD8 + T cell enrichment coupled with intratumoral depletion. At the invasive front, we identified COL11A1 + cancer-associated fibroblasts (CAFs) and SPP1 + tumor-associated macrophages as spatially correlated markers of immune exclusion, demarcating regions characterized by limited T cell infiltration. Mechanistically, a distinct subpopulation of LAMC2 + tumor cells localized at the tumor boundary acts as the master orchestrator of this barrier. These LAMC2 + cells exhibit aberrant lactate metabolism and elevated stemness, driving CAF activation via Semaphorin 3C secretion. Strikingly, this ‘LAMC2 + boundary tumor cell-immune-privileged niche’ axis exhibits pan-cancer correlations with immunotherapy resistance, positioning LAMC2 as a robust predictive biomarker. Conclusion In this study, we identify the tumor invasive margin as a critical determinant of immunotherapy resistance in ESCC. By defining the specific spatial markers and molecular architecture of an immune-privileged niche associated with the immune-exclusion barrier, our findings demonstrate the value of spatially resolved microenvironmental analysis. Moreover, we propose that therapeutic targeting of this boundary niche represents a promising strategy to overcome resistance in ESCC.
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Wan et al. (2026) studied this question.
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