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新辅助治疗引起的胰腺导管腺癌肿瘤免疫微环境重塑:一项空间和数字病理学分析

Neoadjuvant therapy-induced remodeling of tumor immune microenvironment in pancreatic ductal adenocarcinoma: a spatial and digital pathology analysis.

作者信息

Li Danting, Liu Yongjun, Lan Ruoxin, Pillarisetty Venu G, Zhang Xiaofei, Liu Yao-Zhong

机构信息

Department of Biostatistics and Data Science, Celia Scott Weatherhead School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.

Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, USA.

出版信息

Virchows Arch. 2025 Feb 27. doi: 10.1007/s00428-025-04056-y.

Abstract

Neoadjuvant therapy (NAT) is the standard of care for borderline-resectable and locally advanced pancreatic ductal adenocarcinoma (PDAC). It can be used to treat resectable PDAC. This study aimed to investigate how NAT remodels the tumor immune microenvironment (TIME) and whether this remodeling translates into survival benefits. We performed spatial and digital pathology analysis of 27 upfront resection patients (naïve group) and 39 age-, gender-, and stage-matched patients who had surgery after NAT (NAT group). AI-assisted digital pathology was used to annotate cancer cells and CD8 + T lymphocytes. Spatial correlation between CD8 + T lymphocytes and cancer cells for each case was assessed using spatial point pattern analysis, followed by generalized linear modeling (GLM) of quadrat counts of CD8 + T cells, with the quadrat counts of cancer cells as the independent variable. The regression coefficient was used to quantify the strength of their spatial correlation and then further assessed for association with patient survival. The analyses showed that the NAT group, compared with the naïve group, had increased spatial correlation of CD8 + T cells with cancer cells, suggesting enhanced effector T cell-cancer cell engagement in the NAT patients. Additionally, patients with a higher degree of spatial correlation between the two cells showed improved after-surgery survival. Through a new methodological framework that takes advantage of AI-assisted digital pathology and spatial point pattern analysis, our study has successfully captured the subtle effects of NAT-induced TIME remodeling and assessed its impact on prognosis of PDAC patients.

摘要

新辅助治疗(NAT)是临界可切除和局部晚期胰腺导管腺癌(PDAC)的标准治疗方法。它也可用于治疗可切除的PDAC。本研究旨在探讨NAT如何重塑肿瘤免疫微环境(TIME),以及这种重塑是否能转化为生存获益。我们对27例直接进行手术切除的患者(未治疗组)和39例年龄、性别和分期匹配且在NAT后接受手术的患者(NAT组)进行了空间和数字病理学分析。利用人工智能辅助数字病理学对癌细胞和CD8 + T淋巴细胞进行标注。使用空间点模式分析评估每例患者中CD8 + T淋巴细胞与癌细胞之间的空间相关性,随后以癌细胞的方格计数为自变量,对CD8 + T细胞的方格计数进行广义线性模型(GLM)分析。回归系数用于量化它们空间相关性的强度,然后进一步评估其与患者生存的关联。分析表明,与未治疗组相比,NAT组中CD8 + T细胞与癌细胞的空间相关性增加,这表明NAT患者中效应T细胞与癌细胞的相互作用增强。此外,两种细胞之间空间相关性较高的患者术后生存率更高。通过一个利用人工智能辅助数字病理学和空间点模式分析的新方法框架,我们的研究成功捕捉到了NAT诱导的TIME重塑的微妙影响,并评估了其对PDAC患者预后的影响。

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