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New methods of immunohistochemistry: possibilities of modern diagnostics

Tissue imaging with multiplex protein staining
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Morphological diagnostics of cancer and autoimmune diseases has reached a new level thanks to the development of immunohistochemistry (IHC). However, classical methods no longer always meet the requirements of accuracy, speed, and multiparametricity. Therefore, modern pathology is actively implementing new approaches that allow studying dozens of markers simultaneously, while preserving the context of the tissue.

New immunohistochemistry methods combine the advantages of classical histology, molecular biology, and digital technologies, creating opportunities for personalized medicine, particularly in oncology, neuroscience, and immunopathology.

What is immunohistochemistry: a brief overview

Immunohistochemistry is a method that allows the detection of specific proteins (antigens) in tissue sections using labeled antibodies. The method is widely used for:

  • diagnosis of tumor type and subtype

  • prognosis of the disease

  • selection of targeted therapy

  • studying the expression of receptors, growth factors, tumor markers

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Classical IGH is usually based on chromogenic reactions (e.g., DAB), but today the focus is on multiplex, digital, and automated technologies.

Latest technologies in immunohistochemistry

MethodEssenceAdvantages
Multiplex IHC (mIHC)Simultaneous staining of multiple markers on one sectionSample saving, analysis of immune microenvironments
Immunohistofluorescence (mIF)Use of fluorescently labeled antibodiesHigh sensitivity, quantitative analysis
Tyramide Signal Amplification (TSA)Signal amplification through enzymatic reactionExtremely high sensitivity at low antigen levels
Digital Pathology + AIDigitization of slices, automated analysis by algorithmsMinimization of subjective factors, high accuracy
GeoMx Digital Spatial ProfilingCombining IHC with mass spectrometrySpatial profile of proteins and RNA in tissue
Nanostring IHC PanelsAnalysis of dozens of markers in one cyclePersonalized oncopathology, immuno-oncology

Pathologist looking at a sample using a digital microscope

Application of the latest approaches

Oncology:

  • PD-L1: assessing the potential for immunotherapy

  • HER2, Ki-67: stratification in breast cancer

  • CD8/CD3/CD68: analysis of the tumor immune microenvironment

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Neuropathology:

  • β-amyloid, phospho-tau: diagnosis of Alzheimer's disease

  • α-synuclein: for verification of Parkinson's disease

Hematology:

  • CD20, CD79a, CD5: classification of lymphomas

  • BCL2/BCL6/MYC: DLBCL differentiation and prognosis

Autoimmune diseases:

  • Cell segmentation, studying the phenotype of inflammatory infiltrates

  • Determining the ratio of T-regulators/effectors

Transplantology:

  • Identifying chronic rejection

  • Analysis of MHC expression and damage markers

Advantages of new methods

  • Reducing the use of biomaterial — important for small volume biopsies

  • Multivariate analysis — up to 40 markers on one slice

  • Automation — minimization of the human factor

  • Improving diagnostic accuracy — especially in difficult cases

  • Possibility of integration with molecular diagnostics (FISH, PCR, NGS)

Implementation difficulties

Despite the advantages, new technologies have their limitations:

  • High cost of equipment and reagents

  • The need for staff training

  • Lack of interpretation standards for new panels

  • Variability of results when preprocedural preparation is not followed

  • Limited availability in conventional laboratories

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However, leading medical institutions are already implementing multiplex IGH as a routine, especially in oncology centers and neuropathology.

Modern immunohistochemistry techniques are opening up new depths in diagnostics: from the banal “positive/negative” to full-fledged tumor phenotyping, microenvironment analysis, and even prediction of response to treatment. Already today, they are forming the basis for truly personalized medicine — more accurate, faster, and more reliable than ever before.