Evidence map›Paper›PMID 39953822›Full record

ArticleCancer medicine2025

Optimizing Prognostic Assessment in High-Risk Head and Neck Squamous Cell Carcinomas: The Impact of Tumor Budding and a Novel Histomorphological Scoring System.

Moritz Knebel, Jan Philipp Kühn, Sandrina Körner, Felix Braun, Lukas Brust, Silke Wemmert, Sigrun Smola, Martin Ertz, Mathias Wagner, Bernhard Schick and 3 more

Abstract read
In one paragraph

Article in Cancer medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Moritz KnebelInstitute of Otorhinolaryngology, Saarland University, Homburg, Germany.ORCID https://orcid.org/0009-0001-5996-6657
Jan Philipp KühnInstitute of Otorhinolaryngology, Saarland University, Homburg, Germany.
Sandrina KörnerInstitute of Otorhinolaryngology, Saarland University, Homburg, Germany.
Felix BraunInstitute of Otorhinolaryngology, Saarland University, Homburg, Germany.
Lukas BrustInstitute of Otorhinolaryngology, Saarland University, Homburg, Germany.
Silke WemmertInstitute of Otorhinolaryngology, Saarland University, Homburg, Germany.
Sigrun SmolaInstitute of Virology, Saarland University Medical Center, Homburg/Saar, Germany.
Martin ErtzDepartment of General and Special Pathology, Saarland University Medical Center (UKS), Homburg, Germany.
Mathias WagnerDepartment of General and Special Pathology, Saarland University Medical Center (UKS), Homburg, Germany.
Bernhard SchickInstitute of Otorhinolaryngology, Saarland University, Homburg, Germany.
Luc G T MorrisDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York City, New York, USA.
Maximilian LinxweilerInstitute of Otorhinolaryngology, Saarland University, Homburg, Germany.
Gilbert Georg KlammingerDepartment of General and Special Pathology, Saarland University Medical Center (UKS), Homburg, Germany.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Else Kröner-Fresenius-StiftungHomburger ForschungsförderungsprogrammNCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundHead and neck squamous cell carcinomas (HNSCC) pose significant clinical challenges, particularly in high-risk cases with positive lymph node status. Current prognostic biomarkers are often costly and methodologically demanding. In this regard, histomorphological biomarkers such as tumor buds (TB) and poorly differentiated clusters (PDC) represent promising, cost-effective prognostic indicators that are relatively straightforward to implement.

methodsThe prognostic significance of TB and PDC, in conjunction with stromal tumor-infiltrating lymphocytes (sTILs) and the tumor-stroma ratio (TSR), was evaluated in a cohort of 50 high-risk, nodal-positive HNSCC patients. Histomorphological features were assessed using standard hematoxylin and eosin (H&E) staining, while HPV association and PD-L1 expression were determined by means of immunohistochemistry (IHC) and/or PCR. All variables collected were subsequently correlated with traditional histopathological and clinical parameters. Finally, a novel scoring system incorporating TB and PDC was developed, and its association with overall survival (OS) was analyzed.

resultsTB and PDC both demonstrated a significant impact on patients' OS (TB Log-rank test, p = 0.0499, PDC Log-rank test, p = 0.0235). A novel scoring system based on these features had strong association with patients' OS (Log-rank test, p = 0.0200) in contrast to the conventional and routinely performed grading system, which evaluates the degree of differentiation within neoplastic cells (Log-rank test, p = 0.3325). PD-L1 expression was not associated with TB and PDC formation. HPV-negative status was associated with a higher number of tumor buds.

conclusionThis study reveals the potential prognostic value of TB and PDC in high-risk HNSCC, which may offer a practical and cost-effective alternative to traditional markers. Our proposed practicable and straightforward employable scoring system significantly correlates with OS, suggesting its potential benefit in clinical practice. These findings advocate for further validation to enhance prognostic accuracy and guide treatment strategies in HNSCC.

Indexed as

Head and Neck NeoplasmsSquamous Cell Carcinoma of Head and NeckAdultAgedAged, 80 and overB7-H1 AntigenBiomarkers, TumorFemaleHumansImmunohistochemistryLymphocytes, Tumor-InfiltratingMaleMiddle AgedPrognosisB7-H1 AntigenBiomarkers, TumorCD274 protein, humanHNSCCprognosticationtumor budding

Identifiers

PMID39953822
PMCPMC11829162

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Registered trials

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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.