The launch of Pathology Research provides a new interdisciplinary platform bridging experimental pathology, clinical diagnostics, and cutting-edge technologies such as spatial multi-omics, artificial intelligence, and multimodal integration. Grounded in the emerging concept of the “disease ecosystem,” the journal integrates microenvironment, microbiota, metabolic regulation, and neuro–immune crosstalk into a unified analytical framework, aiming to accelerate translational innovation and reduce the global burden of cancer and other complex diseases.

This study identifies alpha-enolase (ENO1) as an independent prognostic biomarker in primary gastrointestinal diffuse large B-cell lymphoma (PGI-DLBCL), demonstrating that high ENO1 expression correlates with increased M2 macrophage polarization, reduced CD8⁺ T-cell infiltration, and lower lymphocyte-to-monocyte ratio (LMR)—revealing a potential nexus between tumor glycolysis, local immune suppression, and systemic immune status.

This review examines the evolution of digital pathology and artificial intelligence over the past decade, covering whole-slide imaging, image management, AI-assisted diagnosis, biomarker quantification, and prognostic prediction, while exploring emerging directions such as multimodal foundation models and agentic AI.