Evidence map›Paper›PMID 42919165›Full record

ArticleBMC cancer2026

A disease-specific immunonutritional model for prognostic stratification in oral cavity squamous cell carcinoma.

Yao-Sheng Su, Jhih-Hao Shen, Ku-Hao Fang, Ming-Hsien Tsai, Adarsh Kudva, Yi-Chan Lee, Ethan I Huang, Ming-Shao Tsai, Geng-He Chang, Cheng-Ming Hsu and 1 more

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Article in BMC cancer, 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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5 · Who and what money

Authors and funding

11 authors.

Yao-Sheng Su *Department of Otorhinolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, Chiayi, Taiwan.
Jhih-Hao Shen *Department of Otorhinolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, Chiayi, Taiwan.
Ku-Hao FangCollege of Medicine, Chang Gung University, Taoyuan, Taiwan.
Ming-Hsien TsaiCollege of Medicine, Chang Gung University, Taoyuan, Taiwan.
Adarsh KudvaDepartment of Oral and Maxillofacial Surgery, Manipal College of Dental Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Yi-Chan LeeCollege of Medicine, Chang Gung University, Taoyuan, Taiwan.
Ethan I HuangDepartment of Otorhinolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, Chiayi, Taiwan.
Ming-Shao TsaiDepartment of Otorhinolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, Chiayi, Taiwan.
Geng-He ChangDepartment of Otorhinolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, Chiayi, Taiwan.
Cheng-Ming HsuDepartment of Otorhinolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, Chiayi, Taiwan.
Yao-Te TsaiDepartment of Otorhinolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, Chiayi, Taiwan. yaote1215@gmail.com.

Funding

Chang Gung Medical Foundation CMRPG6N0192
6 · The paper itself

Abstract

backgroundThe Naples Prognostic Score (NPS) has demonstrated prognostic value across malignancies; however, its applicability to oral cavity squamous cell carcinoma (OCSCC) remains uncertain. We aimed to develop a disease-specific immunonutritional model for prognostic stratification in surgically treated OCSCC, informed by the NPS framework.

methodsWe retrospectively analyzed 351 patients undergoing curative surgery for OCSCC (2009-2018). Survival-optimized cutoffs for albumin, total cholesterol, neutrophil-to-lymphocyte ratio, and lymphocyte-to-monocyte ratio were determined using X-tile and integrated into a composite score (OCSCC-specific Naples Prognostic Score, OCNPS) to classify patients into three risk groups (Groups 0-2). Associations with overall survival (OS) and disease-free survival (DFS) were evaluated using Cox proportional hazards models.

resultsThe proposed model stratified patients into distinct risk groups and was associated with adverse pathological features. Five-year OS rates were 81.2%, 63.4%, and 10.4% across Groups 0-2, whereas the original NPS did not discriminate between low- and intermediate-risk patients. In multivariable analyses, higher OCNPS categories independently predicted worse OS and DFS (Group 1: HR 1.63 and 1.42; Group 2: HR 6.46 and 6.66). A nomogram incorporating OCNPS improved prognostic discrimination compared with TNM staging (C-index 0.769 vs. 0.652) with good calibration.

conclusionsThe OCNPS enables preoperative identification of patients with OCSCC at higher risk of adverse postoperative outcomes and provides clinically applicable prognostic information beyond conventional staging, supporting its potential role in OCSCC management.

Indexed as

Carcinoma, Squamous CellMouth NeoplasmsSquamous Cell Carcinoma of Head and NeckAdultAgedDisease-Free SurvivalFemaleHumansLymphocytesMaleMiddle AgedNeutrophilsPrognosisRetrospective StudiesIimmunonutritional modelNaples Prognostic ScoreNomogramOral cavity squamous cell carcinomaPrognostic stratificationSurvival

Identifiers

PMID42919165

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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.