Evidence map›Paper›PMID 35664673›Full record

ArticleFrontiers in molecular biosciences2022

Validation of an Accurate Automated Multiplex Immunofluorescence Method for Immuno-Profiling Melanoma.

Zarwa Yaseen, Tuba N Gide, Jordan W Conway, Alison J Potter, Camelia Quek, Angela M Hong, Georgina V Long, Richard A Scolyer, James S Wilmott

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  6. Cutaneous melanoma.Nature reviews. Disease primers · 2025
    Review
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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 4 institutions in 1 country.

Zarwa YaseenMelanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia.
Tuba N GideMelanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia.
Jordan W ConwayMelanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia.
Alison J PotterMelanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia.
Camelia QuekMelanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia.
Angela M HongMelanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia.
Georgina V LongMelanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia.
Richard A ScolyerMelanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia.
James S WilmottMelanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia.
Melanoma Institute Australia · AUMater Health Services · AURoyal Prince Alfred Hospital · AUUniversity of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiplex immunofluorescence staining enables the simultaneous detection of multiple immune markers in a single tissue section, and is a useful tool for the identification of specific cell populations within the tumour microenvironment. However, this technology has rarely been validated against standard clinical immunohistology, which is a barrier for its integration into clinical practice. This study sought to validate and investigate the accuracy, precision and reproducibility of a multiplex immunofluorescence compared with immunohistochemistry (IHC), including tissue staining, imaging and analysis, in characterising the expression of immune and melanoma markers in both the tumour and its microenvironment. Traditional chromogenic IHC, single-plex immunofluorescence and multiplex immunofluorescence were each performed on serial tissue sections of a formalin-fixed paraffin-embedded (FFPE) tissue microarray containing metastatic melanoma specimens from 67 patients. The panel included the immune cell markers CD8, CD68, CD16, the immune checkpoint PD-L1, and melanoma tumour marker SOX10. Slides were stained with the Opal

Indexed as

immunohistochemistryimmunotherapymelanomamultiplex immunofluorescencemultispectral imagingpathologypredictive biomarkertumour microenvironment

Identifiers

PMID35664673
PMCPMC9160303
OpenAlexW4280547756

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.