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 Leatherman, Lucie Dequiedt, Victoria Jacobs, Aleksandra Ogurtsova, Guanglan Mo, Xuan Yuan, Dmitrijs Lvovs, Genevieve Stein-O'Brien, Mark Yarchoan, Qingfeng Zhu, Elizabeth I Harper, Ashani T Weeraratna, Ashley L Kiemen, Elizabeth M Jaffee, Lei Zheng, Won Jin Ho, Robert A Anders, Elana J Fertig, Luciane T Kagohara
{"title":"Neoadjuvant immunotherapy promotes the formation of mature tertiary lymphoid structures in a remodeled pancreatic tumor microenvironment.","authors":"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 Leatherman, Lucie Dequiedt, Victoria Jacobs, Aleksandra Ogurtsova, Guanglan Mo, Xuan Yuan, Dmitrijs Lvovs, Genevieve Stein-O'Brien, Mark Yarchoan, Qingfeng Zhu, Elizabeth I Harper, Ashani T Weeraratna, Ashley L Kiemen, Elizabeth M Jaffee, Lei Zheng, Won Jin Ho, Robert A Anders, Elana J Fertig, Luciane T Kagohara","doi":"10.1158/2326-6066.CIR-25-0387","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":9474,"journal":{"name":"Cancer immunology research","volume":" ","pages":""},"PeriodicalIF":8.2000,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12424053/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer immunology research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1158/2326-6066.CIR-25-0387","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍:
Cancer Immunology Research publishes exceptional original articles showcasing significant breakthroughs across the spectrum of cancer immunology. From fundamental inquiries into host-tumor interactions to developmental therapeutics, early translational studies, and comprehensive analyses of late-stage clinical trials, the journal provides a comprehensive view of the discipline. In addition to original research, the journal features reviews and opinion pieces of broad significance, fostering cross-disciplinary collaboration within the cancer research community. Serving as a premier resource for immunology knowledge in cancer research, the journal drives deeper insights into the host-tumor relationship, potent cancer treatments, and enhanced clinical outcomes.
Key areas of interest include endogenous antitumor immunity, tumor-promoting inflammation, cancer antigens, vaccines, antibodies, cellular therapy, cytokines, immune regulation, immune suppression, immunomodulatory effects of cancer treatment, emerging technologies, and insightful clinical investigations with immunological implications.