Evidence map›Paper›PMID 39984782›Full record

ArticleClinical oral investigations2025

Unique clinical features and prognostic risk factors of oral squamous cell carcinoma in patients under 30 years old.

Hao-Yang Cheng, Yu-Xuan Wu, Zi-Li Yu

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

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2citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Modulation ofInternational journal of molecular sciences · 2026
    Article
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Hao-Yang Cheng *State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan City, 430079, China.
Yu-Xuan Wu *State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan City, 430079, China.
Zi-Li YuState Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan City, 430079, China. zili09@whu.edu.cn.ORCID https://orcid.org/0000-0003-0728-8564

Funding

Beijing Xisike Clinical Oncology Research Foundation Y-HR2022QN-0515
6 · The paper itself

Abstract

backgroundIndividuals under 30 years old with oral squamous cell carcinoma (OSCC) are a relatively rare subgroup but require attention. However, literature on the clinicopathological characteristics of OSCC patients under 30 is currently lacking.

methodsA total of 66 OSCC patients under 30 were included in this study. We collected data on demographic characteristics, chief complaint, risk factors, pathological features, imaging, blood test, staging, neoadjuvant therapy, surgical treatment plans, and survival status. Survival curves for overall survival (OS) and disease-free survival (DFS) were generated to explore prognostic factors in patients under 30.

resultsAmong the 66 patients, tongue cancer was predominant, accounting for 60/66 (90.9%). Female patients had no history of smoking, alcohol consumption, or betel nut chewing, whereas all male patients with a history of betel nut chewing were smokers. Patients who sought medical attention shortly after the onset of symptoms tended to demonstrate greater disease severity. The 5-year OS for these patients was 88.9%, and the 5-year DFS was 77.2%. Smoking, drinking, betel nut chewing, staging, LNM, and tumor histological differentiation were not associated with OS and DFS, whereas high neutrophil count and high monocyte count were associated with better survival outcomes.

conclusionOur study dataset shows that OSCC patients under 30 are a subgroup with a high prevalence of tongue cancer, distinct etiological factors in females, and increasing proportions of betel nut chewing and moderately/poorly differentiated tumors. This subgroup generally has a favorable prognosis, but the prognostic factors differ from those in the general OSCC population.

Indexed as

Carcinoma, Squamous CellMouth NeoplasmsAdultAge FactorsArecaFemaleHumansMaleNeoplasm StagingPrognosisRetrospective StudiesRisk FactorsSurvival RatePathological conditionsSigns and symptomsSquamous cell carcinoma of head and neckTherapeuticsYoung adults

Identifiers

PMID39984782

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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.