Abstract 5494: Multiplex immunohistochemistry for immuno-oncology: A flexible approach to characterize the tumor microenvironment.

Abstract Background: In immuno-oncology (I/O), limited tissue availability underscores the need for precise characterization of the tumor microenvironment (TME). Comprehensive phenotyping of immune cell populations and novel biomarkers is critical for understanding pro- and anti-tumor dynamics and guiding immunotherapy strategies. Multiplex immunohistochemistry (IHC) offers a powerful approach to achieve this. Methods: Cerba Research developed multiplex IHC protocols targeting key I/O markers, including macrophage phenotypes, myeloid-derived suppressor cells, cytotoxic T-cell status, and regulatory T cells. Protocols were optimized using Leica Bond Rx and Roche Discovery Ultra platforms with Akoya Opals and Roche Chromogens for detection. Panels were applied to normal and tumor tissues from lung, colon, and pancreas. Fluorescent images were analyzed using an internally validated workflow without deconvolution. Quantification of single markers and phenotypes was performed on whole-slide images or regions of interest (ROI) selected by a pathologist using Halo® (Indica Labs). Results: Multiplex panels demonstrated versatility across multiple indications, enabling detailed comparisons of immune profiles between healthy and tumor tissues and across tumor types. Quantification of single-marker positivity and phenotypic combinations provided insights into spatial distribution of immune subsets within the TME. The study also evaluated benefits and limitations of ROI-based analysis versus whole-slide assessment. Conclusions: Multiplex IHC is a robust and flexible tool for immune profiling in solid tumors, offering comprehensive characterization of I/O-related targets and their spatial context. This approach supports deeper understanding of tumor-immune interactions and informs precision immunotherapy development. This text has been revised with the assistance of Microsoft Copilot to comply with the specified character limit. Citation Format: Elena Baranova, Sabine Iglesias, Amanda Finan-Marchi, Manon Motte, Renaud Burrer, Rania Gaspo, Marie Gerus-Durand. Multiplex immunohistochemistry for immuno-oncology: A flexible approach to characterize the tumor microenvironment [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 5494.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-5494
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 5494: Multiplex immunohistochemistry for immuno-oncology: A flexible approach to characterize the tumor microenvironment.

Rania Gaspo, Amanda Finan-Marchi, Renaud Burrer, Manon Motte et al.
Cancer Research
Single-cell and spatial transcriptomics
article

Abstract 5494: Multiplex immunohistochemistry for immuno-oncology: A flexible approach to characterize the tumor microenvironment.

Rania Gaspo, Amanda Finan-Marchi, Renaud Burrer, Manon Motte, Sabine Iglesias, Elena Baranova, Marie Gerus-Durand
article en

Abstract

Abstract Background: In immuno-oncology (I/O), limited tissue availability underscores the need for precise characterization of the tumor microenvironment (TME). Comprehensive phenotyping of immune cell populations and novel biomarkers is critical for understanding pro- and anti-tumor dynamics and guiding immunotherapy strategies. Multiplex immunohistochemistry (IHC) offers a powerful approach to achieve this. Methods: Cerba Research developed multiplex IHC protocols targeting key I/O markers, including macrophage phenotypes, myeloid-derived suppressor cells, cytotoxic T-cell status, and regulatory T cells. Protocols were optimized using Leica Bond Rx and Roche Discovery Ultra platforms with Akoya Opals and Roche Chromogens for detection. Panels were applied to normal and tumor tissues from lung, colon, and pancreas. Fluorescent images were analyzed using an internally validated workflow without deconvolution. Quantification of single markers and phenotypes was performed on whole-slide images or regions of interest (ROI) selected by a pathologist using Halo® (Indica Labs). Results: Multiplex panels demonstrated versatility across multiple indications, enabling detailed comparisons of immune profiles between healthy and tumor tissues and across tumor types. Quantification of single-marker positivity and phenotypic combinations provided insights into spatial distribution of immune subsets within the TME. The study also evaluated benefits and limitations of ROI-based analysis versus whole-slide assessment. Conclusions: Multiplex IHC is a robust and flexible tool for immune profiling in solid tumors, offering comprehensive characterization of I/O-related targets and their spatial context. This approach supports deeper understanding of tumor-immune interactions and informs precision immunotherapy development. This text has been revised with the assistance of Microsoft Copilot to comply with the specified character limit. Citation Format: Elena Baranova, Sabine Iglesias, Amanda Finan-Marchi, Manon Motte, Renaud Burrer, Rania Gaspo, Marie Gerus-Durand. Multiplex immunohistochemistry for immuno-oncology: A flexible approach to characterize the tumor microenvironment [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 5494.

Cancer ResearchVol. 86(7_Supplement)
University of Nueva Caceres (PH), Centre Hospitalier Universitaire de Montpellier (FR), UniCancer Group (FR)
Openalex Percentile: Top 8%
Single-cell and spatial transcriptomics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.