ArticleFrontiers in oncology2024
A novel nomogram model based on Ki-67 characteristic expression to predict prognosis in head and neck squamous cell carcinoma.
Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 4 citations in OpenAlex.
- Article
- Diagnostic, Prognostic, and Predictive Molecular Biomarkers in Head and Neck Squamous Cell Carcinoma: A Comprehensive Review.Journal of clinical medicine · 2026Review
- EGFR-targeted photoimmunotherapy and its association with the immune microenvironment in locoregional recurrent head and neck squamous cell carcinoma.Frontiers in immunology · 2026Article
- Cell Proliferation, DNA Damage, and Apoptosis in Oral Leukoplakia and Oral Squamous Cell Carcinoma in Young Patients: A Comparative Immunohistochemical Study.Head and neck pathology · 2025Article
- The Potential Association of CDKN2A and Ki-67 Proteins in View of the Selected Characteristics of Patients with Head and Neck Squamous Cell Carcinoma.Current issues in molecular biology · 2024Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: This study aimed to examine Ki-67's correlation with clinicopathological characteristics of head and neck squamous cell carcinoma (HNSCC), evaluate its prognostic significance, and develop a Ki-67 integrated prognostic model. Methods: The retrospective study included 764 HNSCC patients hospitalized from 2012 to 2022. Data were sourced from medical records and immunohistochemical analysis of surgical specimens. Results: Ki-67 expression was significantly associated with sex, pathological grade, clinical stage, and metastasis, but not with age or recurrence. Higher Ki-67 levels were linked to poorer prognosis, as indicated by Kaplan-Meier survival analysis. Utilizing a Cox proportional hazards model, four prognostic factors were identified: age, recurrence, metastasis, and Ki-67 expression. These factors were used to construct a prognostic model and a nomogram. The model's predictive accuracy was confirmed by a high concordance index and a reliable calibration curve. Conclusion: Ki-67 expression in HNSCC patients correlates with several clinicopathological features and serves as a negative prognostic marker. A prognostic model incorporating Ki-67 was successfully developed, offering a new tool for patient prognosis assessment in HNSCC.
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