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This study aimed to provide more information for prognostic stratification for patients through an analysis of the T-cell spatial landscape. It involved analyzing stained tissue sections of 80 patients with stage III lung adenocarcinoma (LUAD) using multiplex immunofluorescence and exploring the spatial landscape of T cells and their relationship with prognosis in the center of the tumor (CT) and invasive margin (IM). In this study, multivariate regression suggested that the relative clustering of CT CD4 conventional T cell (Tconv) to inducible Treg (iTreg), natural regulatory T cell (nTreg) to Tconv, terminal CD8 T cell (tCD8) to helper T cell (Th), and IM Treg to tCD8 and the relative dispersion of CT nTreg to iTreg, IM nTreg to nTreg were independent risk factors for DFS. Finally, we constructed a spatial immunological score named the G score, which had stronger prognostic correlation than IMMUNOSCORE® based on CD3/CD8 cell densities. The spatial layout of T cells in the tumor microenvironment and the proposed G score can reflect the prognosis of patients with stage III LUAD more effectively than T-cell density. The exploration of the T-cell spatial landscape may suggest potential cell-cell interactions and therapeutic targets and better guide clinical decision-making. © 2024 The Pathological Society of Great Britain and Ireland.
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http://dx.doi.org/10.1002/path.6254 | DOI Listing |
ACS Appl Mater Interfaces
September 2025
Leibniz-Institut für Katalyse e.V. (LIKAT), Albert-Einstein-Str. 29a, Rostock 18059, Germany.
Metal-organic frameworks (MOFs) are transformative platforms for heterogeneous catalysis, but distinguishing atomically dispersed metal sites from subnanometric clusters remains a major challenge. This often demands the integration of multiple characterization techniques, many of which either lack the resolving power to distinguish active sites from their surrounding environments (e.g.
View Article and Find Full Text PDFPhytomedicine
August 2025
Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China. Electronic address:
Background: Traditional Chinese medicines (TCMs) have a long-standing history and diverse applications. However, their complex multi-component compositions and intricate mechanisms of action pose significant challenges for modern scientific investigation. Addressing these complexities requires advanced techniques capable of dissecting cellular and molecular interactions with high resolution.
View Article and Find Full Text PDFJ Hazard Mater
September 2025
Laboratório de Estudos Aplicados em Fisiologia Vegetal, Instituto Federal Goiano, Campus Rio Verde Rio Verde, GO 75.901-970, Brazil.
The study investigates the long-term effects of the 2015 Fundão tailings dam collapse in Brazil, focusing on metal accumulation in soil, plants and its implications for ecosystem recovery. The research, conducted between 2021 and 2024, analyzed 3311 individuals from areas directly and indirectly affected by the dam collapse, as well as from non-affected areas, integrating geochemical, spatial, and temporal analyses. Metal concentration and cellular damage were evaluated in roots and leaves.
View Article and Find Full Text PDFSci Total Environ
September 2025
Department of Environmental Sciences, Louisiana State University, Baton Rouge, LA, USA. Electronic address:
Water quality ecosystem service (ES) modeling tools help inform freshwater management across landscapes. However, the validity of such models depends on the availability of water quality data for validation and calibration, limiting their application in regions where monitoring is limited. This study presents a methodological framework that combines machine learning (ML) and spatial extrapolation to enhance ES modeling in data-scarce contexts (https://github.
View Article and Find Full Text PDFObesity is a known risk factor for diseases of the pancreas, including diabetes, pancreatic cancer and pancreatitis, but mechanisms remain unclear. To elucidate how obesity impacts pancreatic immune homeostasis, we performed spatial, transcriptomic and functional profiling of human pancreatic immune cells from obese and non-obese organ donors. Obesity was associated with higher density of tissue resident memory T-cells (TRM) in the exocrine pancreas which display high cytotoxic functions and aggregated around macrophages.
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