Evidence map›Paper›PMID 41886024›Full record

ArticleHead and neck pathology2026

FoxP3+ Cells and PNAd+ Tumour-Associated High Endothelial Venules: Synergistic Prognostic Markers in Oral Tongue Squamous Cell Carcinoma.

Ibrahim Afolabi Abdulsalam, Kjersti Sellæg, Faith O Benebo, Nancy C Ojei, Sonja E Steigen, Lars Uhlin-Hansen, Inger-Heidi Bjerkli, Anna M Wirsing, Synnøve Norvoll Magnussen, Elin Hadler-Olsen

Abstract readMulticenter Study
In one paragraph

Article in Head and neck pathology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ibrahim Afolabi AbdulsalamDepartment of Medical Biology, Faculty of Health Sciences, UiT - The Arctic University of Norway, Tromsø, Norway. ibrahim.abdulsalam@uit.no.ORCID https://orcid.org/0009-0009-9553-3355
Kjersti SellægDepartment of Medical Biology, Faculty of Health Sciences, UiT - The Arctic University of Norway, Tromsø, Norway.
Faith O BeneboDepartment of Community Medicine, UiT - The Arctic University of Norway, Tromsø, Norway.
Nancy C OjeiDepartment of Community Medicine, UiT - The Arctic University of Norway, Tromsø, Norway.
Sonja E SteigenDepartment of Medical Biology, Faculty of Health Sciences, UiT - The Arctic University of Norway, Tromsø, Norway.
Lars Uhlin-HansenDepartment of Medical Biology, Faculty of Health Sciences, UiT - The Arctic University of Norway, Tromsø, Norway.
Inger-Heidi BjerkliDepartment of Medical Biology, Faculty of Health Sciences, UiT - The Arctic University of Norway, Tromsø, Norway.
Anna M WirsingDepartment of Medical Biology, Faculty of Health Sciences, UiT - The Arctic University of Norway, Tromsø, Norway.
Synnøve Norvoll MagnussenDepartment of Medical Biology, Faculty of Health Sciences, UiT - The Arctic University of Norway, Tromsø, Norway.
Elin Hadler-OlsenDepartment of Medical Biology, Faculty of Health Sciences, UiT - The Arctic University of Norway, Tromsø, Norway. elin.hadler-olsen@uit.no.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOral tongue squamous cell carcinoma (OTSCC) features significant immune cell infiltration. In head and neck SCC, peripheral node addressin (PNAd) + tumour-associated high endothelial venules (TA-HEVs) and CD163+ tumour-associated macrophages (TAMs) are associated with favourable and unfavourable prognoses, respectively, whereas the prognostic value of FoxP3+ cells is controversial. This national, multi-centre retrospective study evaluates the prognostic roles of these biomarkers individually and in combination in a homogeneous cohort of 126 treatment-naïve OTSCC patients diagnosed in Norway (2005–2009). METHODOLOGY: Immunohistochemistry on formalin-fixed, paraffin-embedded tissue assessed PNAd+ TA-HEVs, CD163+ TAMs, and FoxP3+ cell densities. Associations between scores and clinical/pathological variables were analysed using chi-square tests. Five-year disease-specific death (DSD) prediction was evaluated using cumulative incidence function estimation and Fine-Gray subdistribution hazard modelling to account for competing mortality.

resultsIn multivariable competing-risk analyses, high FoxP3⁺ cell density independently predicted increased five-year DSD (sHR = 5.40, 95% CI 1.92–15.17). PNAd demonstrated context-dependent prognostic effects when analysed with FoxP3: high PNAd/low FoxP3 tumours showed excellent prognosis, whereas low PNAd/high FoxP3 conferred highest risk (combined model: PNAd sHR 2.58, 95% CI 1.25–5.34; FoxP3 sHR 8.78, 95% CI 3.53–21.87). CD163⁺ TAM density was not associated with DSD. Combined biomarker assessment added incremental prognostic value beyond pTNM staging, with higher discrimination (C-index 0.727 → 0.784) and improved model fit (ΔAICc =  − 8.93; p < 0.0001).

conclusionsHigher FoxP3+ cell density independently predicted increased DSD, while PNAd showed context-dependent prognostic value. Combined biomarker assessment improved risk stratification beyond pTNM staging, supporting investigation of integrated immune profiling for risk stratification, pending external validation.

Indexed as

Biomarkers, TumorForkhead Transcription FactorsSquamous Cell Carcinoma of Head and NeckTongue NeoplasmsAdultAgedAged, 80 and overAntigens, CDFemaleHumansMaleMiddle AgedPodoplaninPrognosisReceptors, Cell SurfaceRetrospective StudiesAntigens, CDBiomarkers, TumorForkhead Transcription FactorsFOXP3 protein, humanPDPN protein, humanPodoplaninReceptors, Cell SurfaceCompeting risk analysisOral tongue squamous cell carcinomaPrognostic biomarkersRegulatory T cellsTumour-associated high endothelial venulesTumour microenvironment

Identifiers

PMID41886024
PMCPMC13022141

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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.