Evidence map›Paper›PMID 35992810›Full record

ReviewFrontiers in oncology2022

Next-Generation Pathology Using Multiplexed Immunohistochemistry: Mapping Tissue Architecture at Single-Cell Level.

Francesca Maria Bosisio, Yannick Van Herck, Julie Messiaen, Maddalena Maria Bolognesi, Lukas Marcelis, Matthias Van Haele, Giorgio Cattoretti, Asier Antoranz, Frederik De Smet

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.6field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Rethinking the microenvironment's role in chemical-induced malignancy.Toxicological sciences : an official journal of the Society of Toxicology · 2026
    Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. The Nun Study: Insights from 30 years of aging and dementia research.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  15. Review
  16. Article
  17. Review
  18. Facts and Hopes in Using Omics to Advance Combined Immunotherapy Strategies.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Francesca Maria BosisioTranslational Cell and Tissue Research Unit, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Yannick Van HerckDepartment of Oncology, KU Leuven, Leuven, Belgium.
Julie MessiaenTranslational Cell and Tissue Research Unit, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Maddalena Maria BolognesiPathology, Department of Medicine and Surgery, Università di Milano-Bicocca, Monza, Italy.
Lukas MarcelisTranslational Cell and Tissue Research Unit, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Matthias Van HaeleTranslational Cell and Tissue Research Unit, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Giorgio CattorettiPathology, Department of Medicine and Surgery, Università di Milano-Bicocca, Monza, Italy.
Asier AntoranzTranslational Cell and Tissue Research Unit, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Frederik De SmetTranslational Cell and Tissue Research Unit, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
KU Leuven · BEAzienda Ospedaliera San Gerardo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell omics aim at charting the different types and properties of all cells in the human body in health and disease. Over the past years, myriads of cellular phenotypes have been defined by methods that mostly required cells to be dissociated and removed from their original microenvironment, thus destroying valuable information about their location and interactions. Growing insights, however, are showing that such information is crucial to understand complex disease states. For decades, pathologists have interpreted cells in the context of their tissue using low-plex antibody- and morphology-based methods. Novel technologies for multiplexed immunohistochemistry are now rendering it possible to perform extended single-cell expression profiling using dozens of protein markers in the spatial context of a single tissue section. The combination of these novel technologies with extended data analysis tools allows us now to study cell-cell interactions, define cellular sociology, and describe detailed aberrations in tissue architecture, as such gaining much deeper insights in disease states. In this review, we provide a comprehensive overview of the available technologies for multiplexed immunohistochemistry, their advantages and challenges. We also provide the principles on how to interpret high-dimensional data in a spatial context. Similar to the fact that no one can just "read" a genome, pathological assessments are in dire need of extended digital data repositories to bring diagnostics and tissue interpretation to the next level.

Indexed as

methods for spatial profilingmultiplexed immunofluorescencence and immunohistochemistrysingle-cell ‘omicsspatial profilingtissue architecture analysis

Identifiers

PMID35992810
PMCPMC9389457
OpenAlexW4288704375

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.