Treatment strategy for cervical lymph node metastases from early-stage tongue and floor of the mouth squamous cell carcinoma using tumour budding and depth of invasion as predictors
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Summary
This summary is machine-generated.Pathological depth of invasion (pDOI) and budding score (BS) ≥5 in biopsy specimens are key predictors of cervical lymph node metastasis (CLM) in early-stage tongue and floor SCC. These factors help determine initial surgical treatment for improved patient outcomes.
Area Of Science
- Oncology
- Head and Neck Surgery
- Pathology
Background
- Early-stage tongue and floor squamous cell carcinoma (SCC) prognosis is significantly influenced by cervical lymph node metastasis (CLM).
- Elective neck dissection is a common treatment, but identifying patients who will benefit requires accurate prediction of CLM.
Purpose Of The Study
- To statistically analyze biopsy specimen data to predict CLM incidence and prognosis in early-stage tongue and floor SCC.
- To determine if specific pathological features can guide the need for elective neck dissection during initial surgery.
Main Methods
- Analysis of biopsy specimens from 103 patients with early cT1-T2 tongue and floor of the mouth cancer.
- Multivariate and univariate statistical analyses to identify correlations between biopsy parameters and CLM.
Main Results
- Pathological depth of invasion (pDOI) ≥5 mm and budding score (BS) ≥5 were identified as independent risk factors for CLM.
- Significant differences in 5-year disease-specific survival were observed based on BS and pDOI thresholds.
- The budding and depth of invasion (BD) score model demonstrated high specificity for CLM prediction.
Conclusions
- Preoperative criteria including pDOI ≥5 mm or BS ≥5 in biopsy specimens, and imaging-based DOI ≥8 mm, can help manage occult CLM in initial surgery for early-stage tumors (≤20 mm).
- The BD model is a valuable tool for predicting CLM in these patients.
- Identifying high-risk patients for CLM allows for tailored surgical management, potentially improving survival outcomes.

