Suppr超能文献

转移性肿瘤微环境的解构揭示了人类癌症中常见的基质反应。

Deconstruction of a Metastatic Tumor Microenvironment Reveals a Common Matrix Response in Human Cancers.

机构信息

Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London, UK.

School of Engineering and Materials Science, Queen Mary University of London, London, UK.

出版信息

Cancer Discov. 2018 Mar;8(3):304-319. doi: 10.1158/2159-8290.CD-17-0284. Epub 2017 Dec 1.

Abstract

We have profiled, for the first time, an evolving human metastatic microenvironment by measuring gene expression, matrisome proteomics, cytokine and chemokine levels, cellularity, extracellular matrix organization, and biomechanical properties, all on the same sample. Using biopsies of high-grade serous ovarian cancer metastases that ranged from minimal to extensive disease, we show how nonmalignant cell densities and cytokine networks evolve with disease progression. Multivariate integration of the different components allowed us to define, for the first time, gene and protein profiles that predict extent of disease and tissue stiffness, while also revealing the complexity and dynamic nature of matrisome remodeling during development of metastases. Although we studied a single metastatic site from one human malignancy, a pattern of expression of 22 matrisome genes distinguished patients with a shorter overall survival in ovarian and 12 other primary solid cancers, suggesting that there may be a common matrix response to human cancer. Conducting multilevel analysis with data integration on biopsies with a range of disease involvement identifies important features of the evolving tumor microenvironment. The data suggest that despite the large spectrum of genomic alterations, some human malignancies may have a common and potentially targetable matrix response that influences the course of disease. .

摘要

我们首次通过测量基因表达、基质蛋白质组学、细胞因子和趋化因子水平、细胞密度、细胞外基质组织和生物力学特性,在同一样本上对不断演变的人类转移性微环境进行了描绘。我们使用从轻度到重度疾病范围的高级别浆液性卵巢癌转移的活检样本,展示了非恶性细胞密度和细胞因子网络如何随着疾病的进展而演变。不同成分的多元整合使我们能够首次定义可预测疾病程度和组织硬度的基因和蛋白质特征,同时还揭示了基质重塑在转移发展过程中的复杂性和动态性质。虽然我们研究了来自一种人类恶性肿瘤的单一转移性部位,但 22 种基质基因的表达模式将卵巢癌和其他 12 种原发性实体癌患者的总生存期区分开来,这表明可能存在一种对人类癌症的共同基质反应。对不同疾病参与程度的活检进行多层次分析和数据整合,可以识别不断演变的肿瘤微环境的重要特征。这些数据表明,尽管存在大量的基因组改变,但一些人类恶性肿瘤可能具有共同的、潜在可靶向的基质反应,这会影响疾病的进程。

相似文献

3
Matrisomics: Beyond the extracellular matrix for unveiling tumor microenvironment.基质组学:超越细胞外基质以揭示肿瘤微环境
Biochim Biophys Acta Rev Cancer. 2024 Nov;1879(6):189178. doi: 10.1016/j.bbcan.2024.189178. Epub 2024 Sep 4.

引用本文的文献

本文引用的文献

1
Tissue Force Programs Cell Fate and Tumor Aggression.组织力决定细胞命运和肿瘤侵袭性。
Cancer Discov. 2017 Nov;7(11):1224-1237. doi: 10.1158/2159-8290.CD-16-0733. Epub 2017 Oct 16.
4
Minireview: Regulatory T Cells and Ovarian Cancer.小型综述:调节性T细胞与卵巢癌
Immunol Invest. 2016 Nov;45(8):712-720. doi: 10.1080/08820139.2016.1186689. Epub 2016 Jul 15.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验