ReviewFrontiers in molecular biosciences2021
Multiplex Immunofluorescence Tyramide Signal Amplification for Immune Cell Profiling of Paraffin-Embedded Tumor Tissues.
Review in Frontiers in molecular biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.
- Research progress and perspectives on the application of tyramide signal amplification-based multiplex immunohistochemistry/immunofluorescence: a bibliometrics analysis.Frontiers in oncology · 2024Pooled it
- Pembrolizumab plus chemotherapy in frontline treatment of advanced ovarian cancer: Clinical and translational results from a phase 2 trial.Med (New York, N.Y.) · 2025Trial
- Hyperspectral imaging system for multiplexed cancer marker detection: design and clinical evaluation.Journal of biomedical optics · 2026Article
- A Customizable Tyramide Signal Amplification-Based Multiplex Immunofluorescence Protocol for FFPE Tissues.Current issues in molecular biology · 2026Article
- An affinity reagent-conjugated biotin ligase for amplified cell surface labelling in vitro and in vivo.Scientific reports · 2026Article
- Signal Amplification for Fluorescent Staining of Single Particles in Liquid Biopsies: Circulating Tumour Cells and Extracellular Vesicles.Journal of extracellular vesicles · 2025Article
- Antibody-Based Multiplex Image Analysis: Standard Analytical Workflows and Artificial Intelligence Tools for Pathologists.Laboratory investigation; a journal of technical methods and pathology · 2025Review
- Yes-associated protein plays oncogenic roles in human sporadic colorectal adenomas.Carcinogenesis · 2025Article
- Wanted: Dead or Alive Cells with Propidium Iodide Staining in Liver Tissue.International journal of molecular sciences · 2024Article
- Digital analysis of the prostate tumor microenvironment with high-order chromogenic multiplexing.Journal of pathology informatics · 2024Article
- Increased Multiplexity in Optical Tissue Clearing-Based Three-Dimensional Immunofluorescence Microscopy of the Tumor Microenvironment by Light-Emitting Diode Photobleaching.Laboratory investigation; a journal of technical methods and pathology · 2024Article
- Intracerebral hemorrhage-induced brain injury in mice: The role of peroxiredoxin 2-Toll-like receptor 4 inflammatory axis.CNS neuroscience & therapeutics · 2024Article
- Advancements in technology for characterizing the tumor immune microenvironment.International journal of biological sciences · 2024Review
- Immune cellular patterns of distribution affect outcomes of patients with non-small cell lung cancer.Nature communications · 2023Article
- Article
- Multiplex Immunofluorescence: A Powerful Tool in Cancer Immunotherapy.International journal of molecular sciences · 2023Review
- Article
- Companion diagnostic requirements for spatial biology using multiplex immunofluorescence and multispectral imaging.Frontiers in molecular biosciences · 2023Review
- Ginsenoside Rg3 nanoparticles with permeation enhancing based chitosan derivatives were encapsulated with doxorubicin by thermosensitive hydrogel and anti-cancer evaluation of peritumoral hydrogel injection combined with PD-L1 antibody.Biomaterials research · 2022Article
- Follicular Lymphoma Microenvironment Characteristics Associated with Tumor Cell Mutations and MHC Class II Expression.Blood cancer discovery · 2022Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Every day, more evidence is revealed regarding the importance of the relationship between the response to cancer immunotherapy and the cancer immune microenvironment. It is well established that a profound characterization of the immune microenvironment is needed to identify prognostic and predictive immune biomarkers. To this end, we find phenotyping cells by multiplex immunofluorescence (mIF) a powerful and useful tool to identify cell types in biopsy specimens. Here, we describe the use of mIF tyramide signal amplification for labeling up to eight markers on a single slide of formalin-fixed, paraffin-embedded tumor tissue to phenotype immune cells in tumor tissues. Different panels show different markers, and the different panels can be used to characterize immune cells and relevant checkpoint proteins. The panel design depends on the research hypothesis, the cell population of interest, or the treatment under investigation. To phenotype the cells, image analysis software is used to identify individual marker expression or specific co-expression markers, which can differentiate already selected phenotypes. The individual-markers approach identifies a broad number of cell phenotypes, including rare cells, which may be helpful in a tumor microenvironment study. To accurately interpret results, it is important to recognize which receptors are expressed on different cell types and their typical location (i.e., nuclear, membrane, and/or cytoplasm). Furthermore, the amplification system of mIF may allow us to see weak marker signals, such as programmed cell death ligand 1, more easily than they are seen with single-marker immunohistochemistry (IHC) labeling. Finally, mIF technologies are promising resources for discovery of novel cancer immunotherapies and related biomarkers. In contrast with conventional IHC, which permits only the labeling of one single marker per tissue sample, mIF can detect multiple markers from a single tissue sample, and at the same time, deliver extensive information about the cell phenotypes composition and their spatial localization. In this matter, the phenotyping process is critical and must be done accurately by a highly trained personal with knowledge of immune cell protein expression and tumor pathology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.