Neoadjuvant immunotherapy promotes the formation of mature tertiary lymphoid structures in a remodeled pancreatic tumor microenvironment.

IF 8.2 1区 医学 Q1 IMMUNOLOGY
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
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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.

在重建的胰腺肿瘤微环境中,新辅助免疫治疗促进成熟三级淋巴结构的形成。
胰腺腺癌(PDAC)是一种快速发展的癌症,对免疫治疗反应不佳。肿瘤内三级淋巴结构(TLS)与罕见的PDAC长期幸存者有关,但TLS在PDAC中的作用及其在更广泛的肿瘤微环境中的空间关系尚不清楚。在此,我们报告了PDAC肿瘤和肿瘤邻近淋巴结的空间多组学图谱的生成,这些患者接受了联合新辅助免疫治疗。利用机器学习支持的苏木精和伊红图像分类模型、成像质量细胞术和无监督基因表达矩阵分解方法进行空间转录组学,我们表征了跨越不同空间生态位和病理反应的TLS内部和邻近的细胞状态。无监督学习确定了tls特异性空间基因表达特征,与PDAC患者生存率的提高显著相关。我们确定了病理性免疫反应的空间特征,包括肿瘤内tls相关的b细胞成熟与IgG传播和细胞外基质重塑共定位。我们的研究结果为免疫治疗期间pdac中TLS的细胞和分子景观提供了见解。
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来源期刊
Cancer immunology research
Cancer immunology research ONCOLOGY-IMMUNOLOGY
CiteScore
15.60
自引率
1.00%
发文量
260
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.
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