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癌症相关成纤维细胞表型与非小细胞肺癌患者预后相关
作者:小柯机器人 发布时间:2024/1/20 14:15:17

瑞士苏黎世大学Bernd Bodenmiller团队近期取得重要工作进展,他们研究发现,癌症相关成纤维细胞表型与非小细胞肺癌(NSCLC)患者预后相关。这一研究成果2024年1月18日在线发表于《癌细胞》杂志上。

据介绍,尽管对肺癌的治疗取得了进展,但肺癌病人的存活率仍然很低。更好地了解肿瘤微环境中癌症相关成纤维细胞(CAF)的细胞异质性和相互作用将支持个性化治疗的发展。

研究人员报道了1070名NSCLC患者CAF的空间分辨单细胞成像质谱(IMC)分析。研究人员根据11种具有不同空间分布的CAF表型确定了四个预后患者组,并表明CAF是患者生存的独立预后因素。肿瘤样CAF的存在与不良预后密切相关。相反,炎症CAF和干扰素反应CAF与炎症肿瘤微环境和更高的患者生存率有关。基质CAF的高密度与低免疫浸润相关,并与患者生存率呈负相关。

总之,这一研究确定了与NSCLC患者预后相关的CAF表型和空间特征。

附:英文原文

Title: Cancer-associated fibroblast phenotypes are associated with patient outcome in non-small cell lung cancer

Author: Lena Cords, Stefanie Engler, Martina Haberecker, Jan Hendrik Rüschoff, Holger Moch, Natalie de Souza, Bernd Bodenmiller

Issue&Volume: 2024-01-18

Abstract: Despite advances in treatment, lung cancer survival rates remain low. A better understanding of the cellular heterogeneity and interplay of cancer-associated fibroblasts (CAFs) within the tumor microenvironment will support the development of personalized therapies. We report a spatially resolved single-cell imaging mass cytometry (IMC) analysis of CAFs in a non-small cell lung cancer cohort of 1,070 patients. We identify four prognostic patient groups based on 11 CAF phenotypes with distinct spatial distributions and show that CAFs are independent prognostic factors for patient survival. The presence of tumor-like CAFs is strongly correlated with poor prognosis. In contrast, inflammatory CAFs and interferon-response CAFs are associated with inflamed tumor microenvironments and higher patient survival. High density of matrix CAFs is correlated with low immune infiltration and is negatively correlated with patient survival. In summary, our data identify phenotypic and spatial features of CAFs that are associated with patient outcome in NSCLC.

DOI: 10.1016/j.ccell.2023.12.021

Source: https://www.cell.com/cancer-cell/fulltext/S1535-6108(23)00449-X

期刊信息

Cancer Cell:《癌细胞》,创刊于2002年。隶属于细胞出版社,最新IF:38.585
官方网址:https://www.cell.com/cancer-cell/home
投稿链接:https://www.editorialmanager.com/cancer-cell/default.aspx