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Related Experiment Video

Updated: Oct 28, 2025

High-Throughput Automated Multiplex Immunofluorescence Assays for Translational Research
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Multi-institutional TSA-amplified Multiplexed Immunofluorescence Reproducibility Evaluation (MITRE) Study.

Janis M Taube1, Kristin Roman2, Elizabeth L Engle3

  • 1Department of Dermatology, The Johns Hopkins Hospital, Baltimore, Maryland, USA jtaube1@jhmi.edu.

Journal for Immunotherapy of Cancer
|July 16, 2021
PubMed
Summary

Multiplexed immunofluorescence (mIF) assays for PD-1/PD-L1 axis biomarkers show high reproducibility across multiple institutions. This standardized workflow enables reliable spatial analysis for precision immuno-oncology in clinical trials.

Keywords:
biomarkersbreast neoplasmsimmunohistochemistrylung neoplasmsprogrammed cell death 1 receptortumor

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Area of Science:

  • Oncology
  • Immunology
  • Biomarker Discovery
  • Pathology

Background:

  • Precision immuno-oncology relies on predictive biomarkers from spatial cell arrangements and coexpression patterns.
  • Multiplexed immunofluorescence (mIF) is a key technology for assessing these biomarkers.
  • Standardization of mIF workflows is crucial for multisite clinical trials and laboratory processes.

Purpose of the Study:

  • To optimize and validate an automated six-plex mIF assay for the PD-1/PD-L1 axis.
  • To assess the intersite and intrasite reproducibility of mIF staining and analysis.
  • To evaluate the measurement of immune cell densities, PD-L1 expression, and PD-1/PD-L1 proximity.

Main Methods:

  • A six-plex mIF panel (PD-L1, PD-1, CD8, CD68, FOXP3, CK) was optimized for quantitative equivalence to IHC.
  • Six institutions stained serial tissue sections (tonsil, breast, NSCLC) using standardized automated stainers and imaging platforms.
  • A locked-down image analysis algorithm was used to assess cell densities and coexpression patterns.

Main Results:

  • The optimized mIF assay achieved 90% equivalence to IHC across six markers, with enhanced amplification for low-level expression.
  • High intersite and intrasite concordance for cell density assessments were observed (R² values ranging from 0.72 to 0.88).
  • Strong concordance was achieved for %PD-L1+ immune cells (R²=0.88) and PD-1/PD-L1 proximity (R²=0.82).

Conclusions:

  • The optimized mIF assay provides sensitive and reproducible characterization of the PD-1/PD-L1 axis across multiple sites.
  • High concordance across sites supports the use of mIF for assessing immune cell subsets, coexpression, and proximity with single-cell resolution.
  • This standardized workflow is suitable for multisite clinical trials in precision immuno-oncology.