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Related Experiment Video

Updated: Oct 24, 2025

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Tissue Multiplex Analyte Detection in Anatomic Pathology - Pathways to Clinical Implementation.

Keith A Wharton1, Douglas Wood1, Mael Manesse1

  • 1Ultivue, Inc., Cambridge, MA, United States.

Frontiers in Molecular Biosciences
|August 13, 2021
PubMed
Summary
This summary is machine-generated.

Multiplex tissue analysis offers advanced insights into the tumor microenvironment (TME), transforming cancer diagnosis. Standardization of multiplex immunofluorescence (mIF) and digital pathology workflows is key for broader clinical adoption.

Keywords:
digital pathologyimmunofluorescenceimmunohistochemistrylaboratory developed testmultiplexpixel pathwaytumor microenvironmentwhole slide image

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Area of Science:

  • Pathology and Laboratory Medicine
  • Biomarker Discovery
  • Digital Pathology

Background:

  • Multiplex tissue analysis has significantly advanced the understanding of the tumor microenvironment (TME), impacting biomarker development and diagnostics.
  • Current use of multiplex labeling in clinical settings is limited by practical barriers in anatomic pathology.
  • Immunohistochemistry (IHC) and related assays are foundational, but multiplex methods offer deeper insights.

Purpose of the Study:

  • To review immunohistochemistry (IHC) and multiplex methods for tissue analysis in clinical and research settings.
  • To examine the suitability of multiplex immunofluorescence (mIF) for clinical diagnostic workflows, identifying advantages and challenges.
  • To discuss strategies for overcoming barriers to widespread adoption of multiplex tissue diagnostics.

Main Methods:

  • Review of IHC and related tissue-based assays.
  • Analysis of multiplex methods and strategies in immuno-oncology and clinical diagnosis.
  • Evaluation of multiplex immunofluorescence (mIF) within the context of assay design, testing, and regulatory landscapes.

Main Results:

  • Multiplex labeling promises to revolutionize pathology by enabling single-cell phenotype analysis beyond traditional IHC capabilities.
  • Implementation requires advancements in detection chemistry (e.g., InSituPlex), standardization of workflows and data pipelines, and integration with digital pathology (whole slide imaging, AI).
  • Regulatory navigation, clinical evidence, and reimbursement are crucial for adoption.

Conclusions:

  • Multiplex labeling has the potential to complement next-generation sequencing in cancer diagnosis by providing comprehensive cellular visualization.
  • Standardization of mIF reagents, digital pathology systems, and data pipelines is essential for widespread use.
  • Diagnostic laboratories can drive adoption through laboratory-developed tests (LDTs) using retrospective data and prospective companion diagnostics (CDx) trials.