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,Meredith Wetzel,Alexander A. 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
标识
DOI:10.1158/2326-6066.cir-25-0387
摘要
Pancreatic ductal 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. In this study, we report the generation of a spatial multiomic 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 distinct spatial niches and pathologic responses. Unsupervised learning identified TLS-specific spatial gene expression signatures that are significantly associated with improved survival in patients with PDAC. 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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