Evidence map›Paper›PMID 38188288›Full record

ArticleFrontiers in oncology2023

Enhancing oral squamous cell carcinoma prediction: the prognostic power of the worst pattern of invasion and the limited impact of molecular resection margins.

Pavel Hurník, Jana Režnarová, Zuzana Chyra, Oldřich Motyka, Barbora Moldovan Putnová, Zuzana Čermáková, Tomáš Blažek, Martin Fománek, Daria Gaykalova, Marcela Buchtová and 2 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Biomarkers in oral squamous cell carcinoma: a systematic review.Medicina oral, patologia oral y cirugia bucal · 2026
    Pooled it
  2. Article
  3. Review
  4. Review
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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

12 authors.

Pavel Hurník *Institute of Clinical and Molecular Pathology, University Hospital Ostrava, Ostrava, Czechia.
Jana Režnarová *Department of Oral and Maxillofacial Surgery, University Hospital Ostrava, Ostrava, Czechia.
Zuzana ChyraDepartment of Hematooncology, University Hospital Ostrava, Ostrava, Czechia.
Oldřich MotykaDepartment of Environmental Engineering, VSB-Technical University of Ostrava, Ostrava, Czechia.
Barbora Moldovan PutnováInstitute of Animal Physiology and Genetics, Czech Academy of Sciences, Brno, Czechia.
Zuzana ČermákováDepartment of Oncology, University Hospital Ostrava, Ostrava, Czechia.
Tomáš BlažekDepartment of Oncology, University Hospital Ostrava, Ostrava, Czechia.
Martin FománekDepartment of Otorhinolaryngology, University Hospital Ostrava, Ostrava, Czechia.
Daria GaykalovaInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, United States.
Marcela BuchtováInstitute of Animal Physiology and Genetics, Czech Academy of Sciences, Brno, Czechia.
Tereza ŠevčíkováDepartment of Hematooncology, University Hospital Ostrava, Ostrava, Czechia.
Jan ŠtembírekDepartment of Oral and Maxillofacial Surgery, University Hospital Ostrava, Ostrava, Czechia.

Funding

Delineating chromatin-related gene expression signatures as a function of HNSCC progressionR01DE027809 · NIDCR · UNIVERSITY OF MARYLAND BALTIMORE · PI GAYKALOVA, DARIA A, IZUMCHENKO, EVGENY (EUGENE) G · 2019 to 2023
$2.6M
NIDCR NIH HHS R01 DE027809
6 · The paper itself

Abstract

Objective: Oral squamous cell carcinoma (OSCC) originates from the mucosal lining of the oral cavity. Almost half of newly diagnosed cases are classified as advanced stage IV disease, which makes resection difficult. In this study, we investigated the pathological features and mutation profiles of tumor margins in OSCC. Methods: We performed hierarchical clustering of principal components to identify distinct patterns of tumor growth and their association with patient prognosis. We also used next-generation sequencing to analyze somatic mutations in tumor and marginal tissue samples. Results: Our analyses uncovered that the grade of worst pattern of invasion (WPOI) is strongly associated with depth of invasion and patient survival in multivariable analysis. Mutations were primarily detected in the DNA isolated from tumors, but several mutations were also identified in marginal tissue. In total, we uncovered 29 mutated genes, mainly tumor suppressor genes involved in DNA repair including BRCA genes; however none of these mutations significantly correlated with a higher chance of relapse in our medium-size cohort. Some resection margins that appeared histologically normal harbored tumorigenic mutations in TP53 and CDKN2A genes. Conclusion: Even histologically normal margins may contain molecular alterations that are not detectable by conventional histopathological methods, but NCCN classification system still outperforms other methods in the prediction of the probability of disease relapse.

Indexed as

biomarkersmutationorofacial oncologysquamous cell carcinomasurgical margins

Identifiers

PMID38188288
PMCPMC10766711

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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.