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III期结直肠癌患者中浸润性T细胞对邻近癌细胞的空间效应及预后

Spatial Effects of Infiltrating T cells on Neighbouring Cancer Cells and Prognosis in Stage III CRC patients.

作者信息

Azimi Mohammadreza, Cho Sanghee, Bozkurt Emir, McDonough Elizabeth, Kisakol Batuhan, Matveeva Anna, Salvucci Manuela, Dussmann Heiko, McDade Simon, Firat Canan, Urganci Nil, Shia Jinru, Longley Daniel B, Ginty Fiona, Prehn Jochen H M

机构信息

Department of Physiology and Medical Physics, RCSI Centre for Systems Medicine, Royal College of Surgeons in Ireland University of Medicine and Health Sciences, Dublin 2, Ireland.

GE HealthCare Technology and Innovation Center, Niskayuna, NY, 12309, USA (formerly GE Research Center).

出版信息

bioRxiv. 2024 Mar 28:2024.01.30.577720. doi: 10.1101/2024.01.30.577720.

Abstract

Colorectal cancer (CRC) is one of the most frequently occurring cancers, but prognostic biomarkers identifying patients at risk of recurrence are still lacking. In this study, we aimed to investigate in more detail the spatial relationship between intratumoural T cells, cancer cells, and cancer cell hallmarks, as prognostic biomarkers in stage III colorectal cancer patients. We conducted multiplexed imaging of 56 protein markers at single cell resolution on resected fixed tissue from stage III CRC patients who received adjuvant 5-fluorouracil-based chemotherapy. Images underwent segmentation for tumour, stroma and immune cells, and cancer cell 'state' protein marker expression was quantified at a cellular level. We developed a Python package for estimation of spatial proximity, nearest neighbour analysis focusing on cancer cell - T cell interactions at single-cell level. In our discovery cohort (MSK), we processed 462 core samples (total number of cells: 1,669,228) from 221 adjuvant 5FU-treated stage III patients. The validation cohort (HV) consisted of 272 samples (total number of cells: 853,398) from 98 stage III CRC patients. While there were trends for an association between percentage of cytotoxic T cells (across the whole cancer core), it did not reach significance (Discovery cohort: p = 0.07, Validation cohort: p = 0.19). We next utilized our region-based nearest neighbourhood approach to determine the spatial relationships between cytotoxic T cells, helper T cells and cancer cell clusters. In the both cohorts, we found that lower distance between cytotoxic T cells, T helper cells and cancer cells was significantly associated with increased disease-free survival. An unsupervised trained model that clustered patients based on the median distance between immune cells and cancer cells, as well as protein expression profiles, successfully classified patients into low-risk and high-risk groups (Discovery cohort: p = 0.01, Validation cohort: p = 0.003).

摘要

结直肠癌(CRC)是最常见的癌症之一,但仍缺乏能够识别复发风险患者的预后生物标志物。在本研究中,我们旨在更详细地研究肿瘤内T细胞、癌细胞和癌细胞特征之间的空间关系,作为III期结直肠癌患者的预后生物标志物。我们对接受基于5-氟尿嘧啶辅助化疗的III期CRC患者切除的固定组织进行了单细胞分辨率的56种蛋白质标志物的多重成像。对图像进行肿瘤、基质和免疫细胞的分割,并在细胞水平上对癌细胞“状态”蛋白质标志物表达进行定量。我们开发了一个Python包,用于估计空间邻近性,即专注于单细胞水平上癌细胞与T细胞相互作用的最近邻分析。在我们的发现队列(MSK)中,我们处理了来自221例接受辅助5FU治疗的III期患者的462个核心样本(细胞总数:1,669,228)。验证队列(HV)由来自98例III期CRC患者的272个样本(细胞总数:853,398)组成。虽然细胞毒性T细胞百分比(在整个癌核心中)之间存在关联趋势,但未达到显著水平(发现队列:p = 0.07,验证队列:p = 0.19)。接下来,我们利用基于区域的最近邻方法来确定细胞毒性T细胞、辅助性T细胞和癌细胞簇之间的空间关系。在两个队列中,我们发现细胞毒性T细胞、辅助性T细胞和癌细胞之间的距离越短,与无病生存期的增加显著相关。一个基于免疫细胞与癌细胞之间的中位距离以及蛋白质表达谱对患者进行聚类的无监督训练模型,成功地将患者分为低风险和高风险组(发现队列:p = 0.01,验证队列:p = 0.003)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bb4/11005626/8f8b67560e79/nihpp-2024.01.30.577720v2-f0001.jpg

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