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Updated: Nov 8, 2025

Automated Multiplex Immunofluorescence Panel for Immuno-oncology Studies on Formalin-fixed Carcinoma Tissue Specimens
Published on: January 21, 2019
Immuno-profiling and cellular spatial analysis using five immune oncology multiplex immunofluorescence panels for
Edwin Roger Parra1, Maria C Ferrufino-Schmidt2, Auriole Tamegnon2
1Department of Translational Molecular Pathology, Unit 951, The University of Texas MD Anderson Cancer Center, 2130 Holcombe Blvd., Houston, TX, 77030, USA. erparra@mdanderson.org.
An automated multiplex immunofluorescence (mIF) protocol enables detailed immuno-profiling of tumor tissues using five panels. This reproducible method reveals an immunosuppressive microenvironment in non-small cell lung cancer (NSCLC) and identifies B7-H4 expressing malignant cells (MCs) linked to recurrence.
Area of Science:
- Oncology
- Immunology
- Biotechnology
Background:
- Multiplex immunofluorescence (mIF) is crucial for immuno-profiling tumor tissues.
- Manual protocols can be time-consuming and complex.
- Automating mIF protocols enhances efficiency and marker capacity.
Purpose of the Study:
- To update a manual mIF protocol to an automated version for analyzing formalin-fixed paraffin-embedded tumor tissues.
- To develop and validate five mIF panels for comprehensive immuno-profiling, including malignant cells, immune checkpoints, tumor-infiltrating lymphocytes, and myeloid-derived suppressor cells.
- To assess the analytical reproducibility and utility of these panels in non-small cell lung cancer (NSCLC) samples.
Main Methods:
- Development of an automated mIF protocol capable of analyzing up to seven markers across five distinct panels.
- Optimization of panels using a tyramide signal amplification system.
- Exploratory analysis on NSCLC samples, including slide scanning and quantification of cell phenotypes and spatial relationships using image analysis software.
Main Results:
- The automated mIF protocol demonstrated high analytical reproducibility.
- Analysis of NSCLC samples revealed an immunosuppressive microenvironment, with PD-L1/PD-1 expression being a dominant feature.
- High density of malignant cells (MCs) expressing B7-H4 correlated with tumor recurrence.
- MCs expressing OX40 were found in close proximity to CD3+ T-cells, suggesting active immunosuppressive interactions.
- Two distinct spatial distribution patterns of CD3 were identified, with one linked to active immunosuppression.
Conclusions:
- The developed five mIF panels provide a reproducible method for identifying multiple targets within single cells.
- The automated protocol facilitates detailed immuno-profiling of tumor tissues.
- The findings highlight the potential of mIF in understanding tumor microenvironments and identifying novel therapeutic targets and biomarkers, such as B7-H4 and OX40 expression on MCs.

