Scholarlink

Objective <p>Tongue squamous cell carcinoma (TSCC), the most prevalent oral cancer, is marked by early metastasis and poor prognosis despite early diagnosability, and is the first nomogram integrating SEER and TCGA databases for TSCC prognosis prediction.</p> Research Methods <p>Clinical data of TSCC patients were retrieved from SEER and TCGA. Cox proportional hazards regression was performed to screen and identify independent prognostic factors. A nomogram was constructed to estimate 1-, 3-, and 5-year overall survival (OS) and validated using time-dependent ROC curves, concordance index (C-index), and calibration plots. Risk stratification was performed based on the total nomogram points, and Kaplan–Meier analysis compared OS among risk groups.</p> Results <p>Tumor stage, invasion depth, lymph node metastasis, and vascular invasion were identified as independent prognostic factors. The nomogram demonstrated strong predictive accuracy (AUC &gt; 0.75, C-index = 0.72) with well-calibrated survival estimates. High-risk patients exhibited significantly reduced survival (<i>p</i> &lt; 0.001).</p> Conclusion <p>This validated nomogram integrates key clinicopathological predictors to provide individualized OS estimates for TSCC. It facilitates real-time risk stratification and helps identify high-risk patients who may benefit from intensive adjuvant therapy and closer surveillance.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Construction and Validation of Survival Prediction Models for Tongue Squamous Cell Carcinoma Based on SEER and TCGA Databases

  • 期刊论文

  • 发表日期：

    2026年3月3日

查看全文
  • He Haibo,
  • Zhang Zhiwen,
  • Tian Lu

摘要

Objective

Tongue squamous cell carcinoma (TSCC), the most prevalent oral cancer, is marked by early metastasis and poor prognosis despite early diagnosability, and is the first nomogram integrating SEER and TCGA databases for TSCC prognosis prediction.

Research Methods

Clinical data of TSCC patients were retrieved from SEER and TCGA. Cox proportional hazards regression was performed to screen and identify independent prognostic factors. A nomogram was constructed to estimate 1-, 3-, and 5-year overall survival (OS) and validated using time-dependent ROC curves, concordance index (C-index), and calibration plots. Risk stratification was performed based on the total nomogram points, and Kaplan–Meier analysis compared OS among risk groups.

Results

Tumor stage, invasion depth, lymph node metastasis, and vascular invasion were identified as independent prognostic factors. The nomogram demonstrated strong predictive accuracy (AUC > 0.75, C-index = 0.72) with well-calibrated survival estimates. High-risk patients exhibited significantly reduced survival (p < 0.001).

Conclusion

This validated nomogram integrates key clinicopathological predictors to provide individualized OS estimates for TSCC. It facilitates real-time risk stratification and helps identify high-risk patients who may benefit from intensive adjuvant therapy and closer surveillance.