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


Journal

Molecular cancer research : MCR
ISSN: 1557-3125
Titre abrégé: Mol Cancer Res
Pays: United States
ID NLM: 101150042

Informations de publication

Date de publication:
01 06 2023
Historique:
received: 26 07 2022
revised: 23 12 2022
accepted: 17 03 2023
medline: 2 6 2023
pubmed: 29 3 2023
entrez: 28 3 2023
Statut: ppublish

Résumé

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. 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.

Identifiants

pubmed: 36976297
pii: 719074
doi: 10.1158/1541-7786.MCR-22-0593
pmc: PMC10233353
doi:

Substances chimiques

B7-H1 Antigen 0
Coloring Agents 0
Programmed Cell Death 1 Receptor 0
Forkhead Transcription Factors 0
Biomarkers, Tumor 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

605-613

Informations de copyright

©2023 The Authors; Published by the American Association for Cancer Research.

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Auteurs

Elena Bady (E)

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

Katharina Möller (K)

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

Tim Mandelkow (T)

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

Jonas B Raedler (JB)

Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
College of Arts and Sciences, Boston University, Boston, Massachusetts.

Cheng Yang (C)

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

Julia Ebner (J)

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

Magalie C J Lurati (MCJ)

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

Ronald Simon (R)

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

Eik Vettorazzi (E)

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

Franziska Büscheck (F)

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

Andreas M Luebke (AM)

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

David Dum (D)

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

Anne Menz (A)

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

Guido Sauter (G)

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

Doris Höflmayer (D)

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

Sören Weidemann (S)

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

Christoph Fraune (C)

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

Ria Uhlig (R)

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

Christian Bernreuther (C)

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

Frank Jacobsen (F)

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

Till S Clauditz (TS)

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

Waldemar Wilczak (W)

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

Eike Burandt (E)

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

Stefan Steurer (S)

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

Sarah Minner (S)

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

Maximilian Lennartz (M)

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

Niclas C Blessin (NC)

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

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