Evidence map›Paper›PMID 42122257›Full record

ArticleCancers2026

Carbon and Nitrogen Isotopic Signatures as Metabolic Biomarkers of Nodal Metastasis and Recurrence in Oral Squamous Cell Carcinoma.

Katarzyna Bogusiak, Zuzanna Popińska, Marcin Kozakiewicz, Piotr Paneth, Józef Kobos

Abstract read
In one paragraph

Article in Cancers, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

5 authors.

Katarzyna BogusiakDepartment of Maxillofacial Surgery, Medical University of Lodz, 251 Pomorska, 92-209 Lodz, Poland.
Zuzanna PopińskaDepartment of Maxillofacial Surgery, Medical University of Lodz, 251 Pomorska, 92-209 Lodz, Poland.
Marcin KozakiewiczDepartment of Maxillofacial Surgery, Medical University of Lodz, 251 Pomorska, 92-209 Lodz, Poland.ORCID 0000-0001-9200-2828
Piotr PanethInstitute of Applied Radiation Chemistry, Lodz University of Technology, 116 Żeromskiego, 90-924 Lodz, Poland.ORCID 0000-0002-3091-8387
Józef KobosDepartment of Histology and Embryology and Department of Pathology, Medical University of Lodz, 251 Pomorska, 92-209 Lodz, Poland.ORCID 0000-0001-7197-3334

Funding

Medical University of Lodz 503/5-06102/503-51-001-18, 503/5-061-02/503-51-001-17, and 503/5-061-02/503-51-002-18
6 · The paper itself

Abstract

BACKGROUND/

objectivesOral squamous cell carcinoma (OSCC) exhibits substantial biological heterogeneity, and current clinicopathological risk stratification incompletely reflects tumor metabolic behavior. Stable isotope ratio mass spectrometry enables the quantitative assessment of carbon and nitrogen isotopic composition, potentially capturing cumulative metabolic reprogramming associated with tumor aggressiveness. This study evaluated whether isotopic signatures of tumor tissue and surgical margins are associated with lymph node metastasis and survival outcomes in OSCC.

methodsIn this prospective study, 54 consecutive patients undergoing primary surgical treatment for OSCC were enrolled. Paired samples derived from tumor tissue and surgical margins were analyzed using isotope ratio mass spectrometry to determine the relative abundance of nitrogen-15 and carbon-13 isotopes. The primary endpoint was pathological lymph node metastasis. Secondary endpoints included disease-free survival and overall survival. Paired comparisons were performed using Wilcoxon signed-rank tests with false discovery rate correction. Logistic regression models for nodal metastasis were constructed using Firth penalization with bootstrap internal validation, while survival outcomes were evaluated using Cox proportional hazards models with model complexity restricted according to the number of events.

resultsTumor tissues demonstrated significantly lower δ

conclusionsThese findings suggest that isotope ratio mass spectrometry-based isotopic profiling identifies reproducible metabolic differences between tumor and margin tissues in OSCC. Tumor δ

Indexed as

bootstrap validationdisease-free survivallymph node metastasismetabolic signaturesoral squamous cell carcinomapenalized logistic regressionstable isotope ratio mass spectrometryδ13Cδ15N

Identifiers

PMID42122257
PMCPMC13162935

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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.