Surgical Margins Status and Prognosis after Resection of Oral Cavity Squamous Cell Carcinoma: Results from a Taiwanese Nationwide Registry-Based Study.
Chung-Jan KangYu-Wen WenShu-Ru LeeLi-Yu LeeChuen HsuehChien-Yu LinKang-Hsing FanHung-Ming WangChia-Hsun HsiehShu-Hang NgChih-Hua YehChih-Hung LinChung-Kan TsaoTuan-Jen FangShiang-Fu HuangLi-Ang LeeKu-Hao FangTzu-Chen YenNai-Ming ChengTsung-You TsaiShiao-Fwu TaiChi-Ying TsaiPublished in: Cancers (2021)
(1) Background: The optimal cutoff value that maximizes the prognostic value of surgical margins in patients with resected oral cavity squamous cell carcinoma has not yet been identified. (2) Methods: Data for this study were retrieved from the Taiwan Cancer Registry Database. A total of 13,768 Taiwanese patients with oral cavity squamous cell carcinoma were identified and stratified according to different margin statuses (0, 0.1-4 and > 4 mm). The five-year local control, disease-specific survival and overall survival rates were the main outcome measures. (3) Results: The 5-year local control, disease-specific survival and overall survival rates of patients with close margins (0 and 0.1-4 mm) were significantly lower than those observed in patients with clear margins (> 4 mm; all p values < 0.001). In multivariate analysis, margin status, depth of invasion and extra-nodal extension were identified as independent adverse prognostic factors for 5-year local control. (4) Conclusions: A thorough assessment of surgical margins can provide a reliable prognostic prediction in patients with OCSCC. This has potential implications for treatment approaches tailored to the individual level. The achievement of clear margins (>4 mm) should be considered a key surgical goal to improve outcomes in this patient group.
Keyphrases
- squamous cell carcinoma
- prognostic factors
- free survival
- lymph node
- locally advanced
- lymph node metastasis
- emergency department
- type diabetes
- metabolic syndrome
- neoadjuvant chemotherapy
- electronic health record
- big data
- case report
- papillary thyroid
- adipose tissue
- insulin resistance
- cell migration
- skeletal muscle
- risk assessment
- childhood cancer
- deep learning