BLEACH&STAIN 15-marker Multiplexed Imaging in 3,098 Human Carcinomas Reveals Six Major PD-L1–driven Immune Phenotypes with Distinct Spatial Orchestration

Author:

Bady Elena1ORCID,Möller Katharina1ORCID,Mandelkow Tim1ORCID,Raedler Jonas B.12ORCID,Yang Cheng1ORCID,Ebner Julia1ORCID,Lurati Magalie C.J.1ORCID,Simon Ronald1ORCID,Vettorazzi Eik3ORCID,Büscheck Franziska1ORCID,Luebke Andreas M.1ORCID,Dum David1ORCID,Menz Anne1ORCID,Sauter Guido1ORCID,Höflmayer Doris1ORCID,Weidemann Sören1ORCID,Fraune Christoph1ORCID,Uhlig Ria1ORCID,Bernreuther Christian1ORCID,Jacobsen Frank1ORCID,Clauditz Till S.1ORCID,Wilczak Waldemar1ORCID,Burandt Eike1ORCID,Steurer Stefan1ORCID,Minner Sarah1ORCID,Lennartz Maximilian1ORCID,Blessin Niclas C.1ORCID

Affiliation:

1. 1Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

2. 2College of Arts and Sciences, Boston University, Boston, Massachusetts.

3. 3Department of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Abstract

Abstract Multiplex fluorescence IHC (mfIHC) approaches were yet either limited to six markers or limited to a small tissue size that hampers translational studies on large tissue microarray cohorts. Here we have developed a BLEACH&STAIN mfIHC method that enabled the simultaneous analysis of 15 biomarkers (PD-L1, PD-1, CTLA-4, panCK, CD68, CD163, CD11c, iNOS, CD3, CD8, CD4, FOXP3, CD20, Ki67, and CD31) in 3,098 tumor samples from 44 different carcinoma entities within one week. To facilitate automated immune checkpoint quantification on tumor and immune cells and study its spatial interplay an artificial intelligence–based framework incorporating 17 different deep-learning systems was established. Unsupervised clustering showed that the three PD-L1 phenotypes (PD-L1+ tumor and immune cells, PD-L1+ immune cells, PD-L1−) were either inflamed or noninflamed. In inflamed PD-L1+patients, spatial analysis revealed that an elevated level of intratumoral M2 macrophages as well as CD11c+ dendritic cell (DC) infiltration (P < 0.001 each) was associated with a high CD3+ CD4± CD8± FOXP3± T-cell exclusion and a high PD-1 expression on T cells (P < 0.001 each). In breast cancer, the PD-L1 fluorescence intensity on tumor cells showed a significantly higher predictive performance for overall survival (OS; AUC, 0.72, P < 0.001) compared with the commonly used percentage of PD-L1+ tumor cells (AUC, 0.54). In conclusion, our deep-learning–based BLEACH&STAIN framework facilitates rapid and comprehensive assessment of more than 60 spatially orchestrated immune cell subpopulations and its prognostic relevance. Implications: The development of an easy-to-use high-throughput 15+1 multiplex fluorescence approach facilitates the in-depth understanding of the immune tumor microenvironment (TME) and enables to study the prognostic relevance of more than 130 immune cell subpopulations.

Funder

n/a

Publisher

American Association for Cancer Research (AACR)

Subject

Cancer Research,Oncology,Molecular Biology

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3