免疫疗法
肿瘤微环境
医学
癌症研究
免疫学
免疫系统
作者
Dimitrios N. Sidiropoulos,Sarah M. Shin,M. Wetzel,Alexander Girgis,Daniel Bergman,Ludmila Danilova,Susheel Perikala,Daniel Shu,Janelle M. Montagne,Atul Deshpande,James M. Leatherman,Lucie Dequiedt,Victoria Jacobs,Aleksandra Ogurtsova,Guanglan Mo,Xuan Yuan,Dmitrijs Lvovs,Genevieve Stein-O’Brien,Mark Yarchoan,Qingfeng Zhu
出处
期刊:PubMed
日期:2025-08-15
标识
DOI:10.1158/2326-6066.cir-25-0387
摘要
Pancreatic adenocarcinoma (PDAC) is a rapidly progressing cancer that responds poorly to immunotherapies. Intratumoral tertiary lymphoid structures (TLS) have been associated with rare long-term PDAC survivors, but the role of TLS in PDAC and their spatial relationships within the context of the broader tumor microenvironment remain unknown. Herein, we report the generation of a spatial multi-omics atlas of PDAC tumors and tumor-adjacent lymph nodes from patients treated with combination neoadjuvant immunotherapies. Using machine learning-enabled hematoxylin and eosin image classification models, imaging mass cytometry, and unsupervised gene expression matrix factorization methods for spatial transcriptomics, we characterized cellular states within and adjacent to TLS spanning across distinct spatial niches and pathologic responses. Unsupervised learning identified TLS-specific spatial gene expression signatures that significantly associated with improved survival in PDAC patients. We identified spatial features of pathologic immune responses, including intratumoral TLS-associated B-cell maturation colocalizing with IgG dissemination and extracellular matrix remodeling. Our findings offer insights into the cellular and molecular landscape of TLS in PDACs during immunotherapy treatment.
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