Evidence map›Paper›PMID 39658782›Full record

ArticleBiomarker research2024

Prevalence and clinical significance of Claudin-3 expression in cancer: a tissue microarray study on 14,966 tumor samples.

Seyma Büyücek, Nina Schraps, Anne Menz, Florian Lutz, Viktoria Chirico, Florian Viehweger, David Dum, Ria Schlichter, Andrea Hinsch, Christoph Fraune and 20 more

Abstract read
In one paragraph

Article in Biomarker research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
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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

30 authors.

Seyma BüyücekInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany.
Nina SchrapsGeneral, Visceral and Thoracic Surgery Department and Clinic, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Anne MenzInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany.
Florian LutzInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany.
Viktoria ChiricoInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany.
Florian ViehwegerInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany.
David DumInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany.
Ria SchlichterInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany.
Andrea HinschInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany.
Christoph FrauneInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany.
Christian BernreutherInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany.
Martina KluthInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany.
Claudia Hube-MaggInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany.
Katharina MöllerInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany.
Viktor ReiswichInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany.
Andreas M LuebkeInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany.
Patrick LebokInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany.
Sören WeidemannInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany.
Guido SauterInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany.
Maximilian LennartzInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany.
Frank JacobsenInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany.
Till S ClauditzInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany.
Andreas H MarxInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany.
Ronald SimonInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany. R.Simon@uke.de.
Stefan SteurerInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany.
Eike BurandtInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany.
Natalia GorbokonInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany.
Sarah MinnerInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany.
Till KrechInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany.
Morton FreytagInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg, 20246, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClaudin-3 (CLDN3) participates in the formation of the tight-junctions (TJs) that regulate intercellular permeability. Altered CLDN3 expression has been linked to tumor progression in multiple tumor types. Despite its widespread expression in normal epithelial cells, CLDN3 is considered an attractive drug target candidate, since it may be more accessible in cancer cells than in normal cells due to their less orchestrated cell growth.

methodsTo comprehensively determine the prevalence of CLDN3 expression in cancer, a tissue microarray containing 14,966 samples from 133 different tumor types and subtypes as well as 608 samples of 76 different normal tissue types was analyzed by immunohistochemistry.

resultsCLDN3 immunostaining was observed in 8,479 (68.9%) of 12,314 analyzable tumors, including 11.6% with weak, 6.2% with moderate, and 51.1% with strong positivity. CLDN3 staining was found in 96 of 133 tumor categories, 80 of which contained at least one strongly positive case. CLDN3 positivity was most seen in neuroendocrine neoplasms (92-100%) and in adenocarcinomas (67-100%), tumors of the female genital tract, including various subtypes of ovarian and endometrial carcinoma (up to 100%), as well as different subtypes of breast cancer (95.3-100%). CLDN3 positivity was less common in squamous cell carcinomas (0-43.2%) and mainly absent in melanoma, mesenchymal, and hematolymphatic neoplasms. In clear cell renal cell carcinoma (ccRCC), low CLDN3 was strongly linked to poor ISUP (p < 0.0001), Fuhrman (p < 0.0001), and Thoenes (p < 0.0001) grades, advanced pT category (p < 0.0001), high UICC stage (p = 0.0006) and distant metastasis (p = 0.0011), as well as shortened overall (p = 0.0118) and recurrence-free (p < 0.0001) survival. In papillary RCC (pRCC), low CLDN3 was associated with poor grade (p < 0.05), high pT (p = 0.0273) and distant metastasis (p = 0.0357). In urothelial carcinoma high CLDN3 was linked to high grade (p < 0.0001) and nodal metastasis (p = 0.0111). The level of CLDN3 staining was unrelated to parameters of tumor aggressiveness in pancreatic, gastric, and breast cancer.

conclusionIn conclusion, our data demonstrate significant levels of CLDN3 expression in many different tumor entities and identify reduced CLDN3 expression as a potential prognostic marker in RCC.

Indexed as

BiomarkerCancerCLDN3Renal cell carcinomaTissue microarray

Identifiers

PMID39658782
PMCPMC11633013

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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.