Depth of invasion as a predictor of nodal disease and survival in patients with oral tongue squamous cell carcinoma
Samantha Tam MD, MPH
Department of Head and Neck Surgery, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
Search for more papers by this authorMoran Amit MD, PhD
Department of Head and Neck Surgery, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
Search for more papers by this authorMark Zafereo MD
Department of Head and Neck Surgery, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
Search for more papers by this authorDiana Bell MD
Department of Pathology, Division of Pathology/Lab Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
Search for more papers by this authorCorresponding Author
Randal S. Weber MD
Department of Head and Neck Surgery, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
Correspondence
Randal S. Weber, Department of Head and Neck Surgery, Division of Surgery, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Suite 1445, Houston, TX 77030
Email: [email protected]
Search for more papers by this authorSamantha Tam MD, MPH
Department of Head and Neck Surgery, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
Search for more papers by this authorMoran Amit MD, PhD
Department of Head and Neck Surgery, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
Search for more papers by this authorMark Zafereo MD
Department of Head and Neck Surgery, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
Search for more papers by this authorDiana Bell MD
Department of Pathology, Division of Pathology/Lab Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
Search for more papers by this authorCorresponding Author
Randal S. Weber MD
Department of Head and Neck Surgery, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
Correspondence
Randal S. Weber, Department of Head and Neck Surgery, Division of Surgery, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Suite 1445, Houston, TX 77030
Email: [email protected]
Search for more papers by this authorAbstract
Background
Depth of invasion (DOI) in oral cavity cancer is important in determining prognosis. This study aims to determine optimal cut-points of DOI for detection of occult disease and survival.
Methods
A retrospective cohort study was completed of previously untreated early stage lateral oral tongue cancer. DOI cut-points were computed. Multiple logistic regression and multivariate Cox proportional hazards models were used to assess predictors of occult nodal disease and overall survival (OS) and disease-specific survival (DSS).
Results
Occult nodal disease was found in 55 (26%) of the 212 patients. DOI of 7.25 mm was most predictive for occult nodal disease and 8 mm for OS and DSS. DOI was an independent predictor of OS and DSS.
Conclusion
The optimal DOI cut-point for detection of occult nodal metastasis was 7.25 and 8 mm for OS and DSS at 5 years. DOI is an independent predictor of OS and DSS.
CONFLICT OF INTEREST
The authors declare that they have no conflicts of interest with the contents of this article.
Supporting Information
Filename | Description |
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hed25506-sup-0001-Supinfo.pdfPDF document, 245.2 KB |
Supplemental Table 1. Number of patients and proportion of patients with occult nodal disease in tumors thinner than each millimeter cut point. Supplemental Table 2. Univariate Cox proportionate hazards model for overall and disease-specific survival in patients with early stage lateral oral tongue squamous cell carcinoma. Supplemental Figure 1. Patient flow chart for patients with T1 and T2 lateral oral tongue squamous cell carcinoma according to the 7th edition of the American Joint Committee on Cancer Staging Manual. Supplemental Figure 2. Receiver operator characteristic curves for A. detection of occult nodal disease (AUC=0.721), B. 5-year overall survival (AUC=0.598), and C. 5-year disease specific survival (AUC=0.650) according to the square root transformation depth of invasion. Square root transformation of depth of invasion was used to account for the right skewed distribution of depth of invasion. |
Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
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