TY - JOUR
T1 - Neoadjuvant Immunotherapy Promotes the Formation of Mature Tertiary Lymphoid Structures in a Remodeled Pancreatic Tumor Microenvironment
AU - Sidiropoulos, Dimitrios N.
AU - Shin, Sarah M.
AU - Wetzel, Meredith
AU - Girgis, Alexander A.
AU - Bergman, Daniel
AU - Danilova, Ludmila
AU - Perikala, Susheel
AU - Shu, Daniel
AU - Montagne, Janelle M.
AU - Deshpande, Atul
AU - Leatherman, James
AU - Dequiedt, Lucie
AU - Jacobs, Victoria
AU - Ogurtsova, Aleksandra
AU - Mo, Guanglan
AU - Yuan, Xuan
AU - Lvovs, Dmitrijs
AU - Stein-O’Brien, Genevieve
AU - Yarchoan, Mark
AU - Zhu, Qingfeng
AU - Harper, Elizabeth I.
AU - Weeraratna, Ashani T.
AU - Kiemen, Ashley L.
AU - Jaffee, Elizabeth M.
AU - Zheng, Lei
AU - Ho, Won Jin
AU - Anders, Robert A.
AU - Fertig, Elana J.
AU - Kagohara, Luciane T.
N1 - Publisher Copyright:
©2025 American Association for Cancer Research.
PY - 2025/11/1
Y1 - 2025/11/1
N2 - Pancreatic ductal adenocarcinoma (PDAC) is a rapidly pro- expression matrix factorization methods for spatial trangressing cancer that responds poorly to immunotherapies. scriptomics, we characterized cellular states within and adjacent Intratumoral tertiary lymphoid structures (TLS) have been as- to TLS spanning distinct spatial niches and pathologic responses. sociated with rare long-term PDAC survivors, but the role of TLS Unsupervised learning identified TLS-specific spatial gene ex-in PDAC and their spatial relationships within the context of the pression signatures that are significantly associated with imbroader tumor microenvironment remain unknown. In this proved survival in patients with PDAC. We identified spatial study, we report the generation of a spatial multiomic atlas of features of pathologic immune responses, including intratumoral PDAC tumors and tumor-adjacent lymph nodes from patients TLS–associated B-cell maturation colocalizing with IgG dissemtreated with combination neoadjuvant immunotherapies. Using ination and extracellular matrix remodeling. Our findings offer machine learning–enabled hematoxylin and eosin image classi- insights into the cellular and molecular landscape of TLS in fication models, imaging mass cytometry, and unsupervised gene PDACs during immunotherapy treatment.
AB - Pancreatic ductal adenocarcinoma (PDAC) is a rapidly pro- expression matrix factorization methods for spatial trangressing cancer that responds poorly to immunotherapies. scriptomics, we characterized cellular states within and adjacent Intratumoral tertiary lymphoid structures (TLS) have been as- to TLS spanning distinct spatial niches and pathologic responses. sociated with rare long-term PDAC survivors, but the role of TLS Unsupervised learning identified TLS-specific spatial gene ex-in PDAC and their spatial relationships within the context of the pression signatures that are significantly associated with imbroader tumor microenvironment remain unknown. In this proved survival in patients with PDAC. We identified spatial study, we report the generation of a spatial multiomic atlas of features of pathologic immune responses, including intratumoral PDAC tumors and tumor-adjacent lymph nodes from patients TLS–associated B-cell maturation colocalizing with IgG dissemtreated with combination neoadjuvant immunotherapies. Using ination and extracellular matrix remodeling. Our findings offer machine learning–enabled hematoxylin and eosin image classi- insights into the cellular and molecular landscape of TLS in fication models, imaging mass cytometry, and unsupervised gene PDACs during immunotherapy treatment.
UR - https://www.scopus.com/pages/publications/105020805447
UR - https://www.scopus.com/pages/publications/105020805447#tab=citedBy
U2 - 10.1158/2326-6066.CIR-25-0387
DO - 10.1158/2326-6066.CIR-25-0387
M3 - Article
C2 - 40815230
AN - SCOPUS:105020805447
SN - 2326-6066
VL - 13
SP - 1716
EP - 1731
JO - Cancer Immunology Research
JF - Cancer Immunology Research
IS - 11
ER -