Evidence map›Paper›PMID 31641225›Full record

ArticleLaboratory investigation; a journal of technical methods and pathology2020

Digital image analysis of multiplex fluorescence IHC in colorectal cancer recognizes the prognostic value of CDX2 and its negative correlation with SOX2.

Nair Lopes, Christian Holst Bergsland, Merete Bjørnslett, Teijo Pellinen, Aud Svindland, Arild Nesbakken, Raquel Almeida, Ragnhild A Lothe, Leonor David, Jarle Bruun

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in Laboratory investigation; a journal of technical methods and pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

21 citing papers in PubMed, 35 citations in OpenAlex.

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  9. Whole-Slide Imaging, Mutual Information Registration for Multiplex Immunohistochemistry and Immunofluorescence.Laboratory investigation; a journal of technical methods and pathology · 2023
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  20. A panel of intestinal differentiation markers (CDX2, GPA33, and LI-cadherin) identifies gastric cancer patients with favourable prognosis.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2020
    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

10 authors at 5 institutions in 3 countries.

Nair LopesDepartment of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Christian Holst BergslandDepartment of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Merete BjørnslettDepartment of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Teijo PellinenK.G. Jebsen Colorectal Cancer Research Centre, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway.
Aud SvindlandK.G. Jebsen Colorectal Cancer Research Centre, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway.
Arild NesbakkenK.G. Jebsen Colorectal Cancer Research Centre, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway.
Raquel Almeidai3S-Institute for Research and Innovation in Health, University of Porto, Porto, Portugal.
Ragnhild A LotheDepartment of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Leonor Davidi3S-Institute for Research and Innovation in Health, University of Porto, Porto, Portugal.
Jarle BruunDepartment of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway. jarle.bruun@rr-research.no.
Oslo University Hospital · NOUniversidade do Porto · PTi3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto · PTInstitute for Molecular Medicine Finland · FIUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flourescence-based multiplex immunohistochemistry (mIHC) combined with multispectral imaging and digital image analysis (DIA) is a quantitative high-resolution method for determination of protein expression in tissue. We applied this method for five biomarkers (CDX2, SOX2, SOX9, E-cadherin, and β-catenin) using tissue microarrays of a Norwegian unselected series of primary colorectal cancer. The data were compared with previously obtained chromogenic IHC data of the same tissue cores, visually assessed by the Allred method. We found comparable results between the methods, although confirmed that DIA offered improved resolution to differentiate cases with high and low protein expression. However, we experienced inherent challenges with digital image analysis of membrane staining, which was better assessed visually. DIA and mIHC enabled quantitative analysis of biomarker coexpression on the same tissue section at the single-cell level, revealing a strong negative correlation between the differentiation markers CDX2 and SOX2. Both methods confirmed known prognostic associations for CDX2, but DIA improved data visualization and detection of clinicopathological and biological associations. In summary, mIHC combined with DIA is an efficient and reliable method to evaluate protein expression in tissue, here shown to recapitulate and improve detection of known clinicopathological and survival associations for the emerging biomarker CDX2, and is therefore a candidate approach to standardize CDX2 detection in pathology laboratories.

Indexed as

Fluorescent Antibody TechniqueImage Interpretation, Computer-AssistedBiomarkers, TumorCDX2 Transcription FactorColorectal NeoplasmsHumansSOXB1 Transcription FactorsTissue Array AnalysisBiomarkers, TumorCDX2 protein, humanCDX2 Transcription FactorSOX2 protein, humanSOXB1 Transcription Factors

Identifiers

PMID31641225
PMCPMC6917572
OpenAlexW2981735892

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.