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http://dx.doi.org/10.1159/000078592 | DOI Listing |
MAbs
December 2024
Cancer Research Therapeutic Area, Boehringer Ingelheim RCV GmbH & Co KG, Vienna, Austria.
Neuroscience
January 2025
School of Communication Sciences & Disorders, University of Memphis, Memphis, TN, USA.
Comput Med Imaging Graph
December 2024
Department of Mathematics and Statistics, Georgia State University, Atlanta, 30303, GA, USA; Department of Computer Science, Georgia State University, Atlanta, 30303, GA, USA; Winship Cancer Institute, Emory University, Atlanta, 30322, GA, USA. Electronic address:
Neoadjuvant chemotherapy (NAC) response prediction for triple negative breast cancer (TNBC) patients is a challenging task clinically as it requires understanding complex histology interactions within the tumor microenvironment (TME). Digital whole slide images (WSIs) capture detailed tissue information, but their giga-pixel size necessitates computational methods based on multiple instance learning, which typically analyze small, isolated image tiles without the spatial context of the TME. To address this limitation and incorporate TME spatial histology interactions in predicting NAC response for TNBC patients, we developed a histology context-aware transformer graph convolution network (NACNet).
View Article and Find Full Text PDFAngew Chem Int Ed Engl
January 2025
Fujian Key Laboratory of Polymer Materials, College of Chemistry and Materials Science, Fujian Normal University, Fuzhou, China.
Reticular chemistry and pore engineering have garnered significant advancements in metal-organic frameworks and covalent organic frameworks, leveraging robust metal-coordination and covalent bonds. However, these achievements remain elusive in hydrogen-bonded organic frameworks, hindered by their inherent weakness in hydrogen bonding. Herein, we strategically manipulate the porosity of hydrogen-bonded frameworks through a grafting approach, culminating in the synthesis of two isomorphic HOFs, HOF-FJU-99 and HOF-FJU-100, with distinct pore environments.
View Article and Find Full Text PDFCancer Cell
October 2024
Tumor Immunogenomics and Immunosurveillance Laboratory, University College London Cancer Institute, Paul O'Gorman, Building, 72 Huntley Street, London WC1E 6BT, UK; Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, Paul O'Gorman, Building, 72 Huntley Street, London WC1E 6BT, UK. Electronic address:
Tumor-infiltrating B cells play a significant role in tumor development, progression, and prognosis, yet a comprehensive classification system is lacking. To address this gap, we present a pan-cancer single-cell RNA sequencing (scRNA-seq) atlas of tumor-infiltrating B and plasma cells across a large sample cohort. We identify key B cell subset signatures, revealing distinct subpopulations and highlighting the heterogeneity and functional diversity of these cells in the tumor microenvironment.
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