Evidence map›Paper›PMID 42203995›Full record

ArticleCancer immunology, immunotherapy : CII2026

Flow-cytometric profiling of large extracellular vesicles as immunophenotypic biomarkers in head and neck squamous cell carcinoma.

Judith Büntzel, Markus Maulhardt, Alexander Casimir Angleitner, Matthias Schulz, Daniel Köberle, Said Naser, Clara Zwerenz, Charlotta Friederike Pagel, Andrea Hille, Anna-Carina Hund and 1 more

Abstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

11 authors.

Judith BüntzelDepartment of Hematology and Medical Oncology, University Medical Center Goettingen, 37075, Göttingen, Germany. judith.buentzel@med.uni-goettingen.de.
Markus MaulhardtDepartment of Hematology and Medical Oncology, University Medical Center Goettingen, 37075, Göttingen, Germany.
Alexander Casimir AngleitnerDepartment of Hematology and Medical Oncology, University Medical Center Goettingen, 37075, Göttingen, Germany.
Matthias SchulzDepartment of Hematology and Medical Oncology, University Medical Center Goettingen, 37075, Göttingen, Germany.
Daniel KöberleDepartment of Hematology and Medical Oncology, University Medical Center Goettingen, 37075, Göttingen, Germany.
Said NaserDepartment of Hematology and Medical Oncology, University Medical Center Goettingen, 37075, Göttingen, Germany.
Clara ZwerenzDepartment of Radiation Therapy and Radiation Oncology, University Medical Center Goettingen, 37075, Göttingen, Germany.
Charlotta Friederike PagelDepartment of Radiation Therapy and Radiation Oncology, University Medical Center Goettingen, 37075, Göttingen, Germany.
Andrea HilleDepartment of Radiation Therapy and Radiation Oncology, University Medical Center Goettingen, 37075, Göttingen, Germany.
Anna-Carina HundDepartment of Personalized Oncology, University Hospital Mannheim, and Medical Faculty Mannheim, University of Heidelberg, 68167, Mannheim, Germany.
Jens BüntzelDepartment of Otolaryngology, Head Neck Surgery, Südharz Hospital, 99734, Nordhausen, Germany.

Funding

Georg-August-Universität Göttingen Open Access Publication Funds
6 · The paper itself

Abstract

backgroundLarge extracellular vesicles (large EV) released from tumor and benign cells are detectable in blood and hold potential as non-invasive biomarkers. While their diagnostic relevance has been shown in several malignancies, their role in head and neck squamous cell carcinoma (HNSCC) remains insufficiently characterized.

methodsLarge EV were isolated from peripheral blood of patients with HNSCC (n = 66), non-small cell lung cancer (NSCLC; n = 52; adenocarcinoma n = 39, squamous cell carcinoma (SQCCL) n = 11), and healthy controls (n = 11) by differential centrifugation. Flow cytometry quantified surface expression of EGFR, EPCAM, MUC1, and PD-L1. Associations with clinical parameters were analyzed using t-tests, Spearman correlations, logistic regression, and random forest modeling.

resultsHNSCC-derived large EV showed significantly higher EGFR and MUC1, but lower EPCAM expression compared to controls. PD-L1 expression increased with advancing tumor stage and was positively associated with metastatic status, whereas EGFR levels declined in metastatic disease. Combined ROC analysis of EGFR, EPCAM, and PD-L1 yielded an AUC of 0.785 (p = 0.003), distinguishing HNSCC from controls. Comparative profiling revealed higher EGFR and EPCAM expression in HNSCC versus NSCLC, while MUC1 predominated in NSCLC, particularly in SQCCL; notably, the NSCLC cohort was predominantly adenocarcinoma. A marker panel comprising EGFR, EPCAM, and MUC1 differentiated HNSCC from SQCCL in this limited subgroup (n = 11) with 96.97% sensitivity, 45.45% specificity, 92.75% positive predictive value and 75.00% negative predictive value.

conclusionFlow-cytometric profiling of circulating large EV provides a feasible liquid biopsy approach for tumor characterization in HNSCC. PD-L1 expression reflects tumor burden, and combined large EV marker analysis enables differentiation between HNSCC and primary squamous lung carcinoma, supporting its diagnostic utility in clinical oncology.

Indexed as

Biomarkers, TumorExtracellular VesiclesFlow CytometryHead and Neck NeoplasmsSquamous Cell Carcinoma of Head and NeckAdultAgedCarcinoma, Non-Small-Cell LungEpithelial Cell Adhesion MoleculeFemaleHumansImmunophenotypingMaleMiddle AgedBiomarkers, TumorEpithelial Cell Adhesion MoleculeBiomarker profilingFlow cytometryHead and neck cancerLarge extracellular vesiclesLiquid biopsyNSCLC

Identifiers

PMID42203995
PMCPMC13221563

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.