Hourglass, a rapid analysis framework for heterogeneous bioimaging data, identifies sex disparity in IL-6/STAT3-associated immune phenotypes in pancreatic cancer

IF 5.6 2区 医学 Q1 ONCOLOGY The Journal of Pathology Pub Date : 2023-09-28 DOI:10.1002/path.6199
Kazeera Aliar, Henry R Waterhouse, Foram Vyas, Niklas Krebs, Bowen Zhang, Emily Poulton, Nathan Chan, Ricardo Gonzalez, Gun Ho Jang, Peter Bronsert, Sandra E Fischer, Steven Gallinger, Barbara T Grünwald, Rama Khokha
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Abstract

Integration and mining of bioimaging data remains a challenge and lags behind the rapidly expanding digital pathology field. We introduce Hourglass, an open-access analytical framework that streamlines biology-driven visualization, interrogation, and statistical assessment of multiparametric datasets. Cognizant of tissue and clinical heterogeneity, Hourglass systematically organizes observations across spatial and global levels and within patient subgroups. Applied to an extensive bioimaging dataset, Hourglass promptly consolidated a breadth of known interleukin-6 (IL-6) functions via its downstream effector STAT3 and uncovered a so-far unknown sexual dimorphism in the IL-6/STAT3-linked intratumoral T-cell response in human pancreatic cancer. As an R package and cross-platform application, Hourglass facilitates knowledge extraction from multi-layered bioimaging datasets for users with or without computational proficiency and provides unique and widely accessible analytical means to harness insights hidden within heterogeneous tissues at the sample and patient level. © 2023 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

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沙漏,一个异质生物成像数据的快速分析框架,识别胰腺癌中IL-6/ stat3相关免疫表型的性别差异
生物成像数据的整合和挖掘仍然是一个挑战,落后于快速发展的数字病理学领域。我们介绍了沙漏,一个开放访问的分析框架,简化了生物学驱动的可视化,询问和多参数数据集的统计评估。认识到组织和临床异质性,沙漏系统地组织了跨空间和全局水平以及患者亚组的观察。应用于广泛的生物成像数据集,沙漏迅速巩固了已知白介素-6 (IL-6)通过其下游效应物STAT3功能的广度,并发现了迄今为止未知的人类胰腺癌中IL-6/STAT3相关肿瘤内t细胞反应的性别二态性。作为一个R包和跨平台的应用程序,沙漏有助于从多层生物成像数据集中提取知识,无论用户是否精通计算,并提供独特和广泛访问的分析手段,以利用隐藏在样本和患者水平的异质组织中的见解。©2023作者。《病理学杂志》由约翰·威利出版;儿子有限公司代表大不列颠及爱尔兰病理学会。
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来源期刊
The Journal of Pathology
The Journal of Pathology 医学-病理学
CiteScore
14.10
自引率
1.40%
发文量
144
审稿时长
3-8 weeks
期刊介绍: The Journal of Pathology aims to serve as a translational bridge between basic biomedical science and clinical medicine with particular emphasis on, but not restricted to, tissue based studies. The main interests of the Journal lie in publishing studies that further our understanding the pathophysiological and pathogenetic mechanisms of human disease. The Journal of Pathology welcomes investigative studies on human tissues, in vitro and in vivo experimental studies, and investigations based on animal models with a clear relevance to human disease, including transgenic systems. As well as original research papers, the Journal seeks to provide rapid publication in a variety of other formats, including editorials, review articles, commentaries and perspectives and other features, both contributed and solicited.
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