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A Model for Perineural Invasion in Head and Neck Squamous Cell Carcinoma
Published on: January 5, 2017
Head & neck acinar cell carcinoma: a population-based study using the seer registry
Feiluore Yibulayin1,2, Lei Feng1, Meng Wang1
1Department of Oral & Maxillofacial Surgery and Oral Biomedical Engineering Laboratory Shanghai Stomatological Hospital, Fudan University, 356 Beijing East Road, Shanghai, 200001, People's Republic of China.
Surgery is the only favorable prognostic indicator for head and neck acinar cell carcinoma (HNACC) survival. Gender, age, pathological grade, and TNM/AJCC stage are independent prognostic factors influencing patient outcomes.
Area of Science:
- Oncology
- Head and Neck Surgery
- Cancer Epidemiology
Background:
- Head and neck acinar cell carcinoma (HNACC) is a rare malignancy.
- Understanding its clinicopathologic characteristics, treatment, and prognostic factors is crucial for improving patient outcomes.
Purpose of the Study:
- To comprehensively explore the clinicopathologic characteristics, treatment modalities, and prognostic factors of head and neck acinar cell carcinoma (HNACC).
- To identify independent predictors of survival for patients diagnosed with HNACC.
Main Methods:
- A population-based study utilizing data from the Surveillance, Epidemiology, and End Results (SEER) database (1975-2016).
- Kaplan-Meier analysis and Cox multivariate regression were employed to compare overall survival (OS) and HNACC-specific survival based on clinicopathologic variables.
Main Results:
- A cohort of 2624 primary HNACC cases was analyzed, with a majority originating from salivary glands (2416 cases).
- Surgery demonstrated a favorable association with improved disease-specific survival (DSS) and OS.
- Independent prognostic factors for survival included gender, age, pathological grade, and TNM/AJCC stage.
Conclusions:
- Surgical intervention emerged as the sole favorable prognostic indicator for both DSS and OS in HNACC patients.
- Demographic and disease-specific factors such as gender, age, pathological differentiation, and TNM/AJCC stage significantly influence survival outcomes.
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