Individualized risk assessment of distant metastases in oral cavity carcinoma: a validated predictive-score model

Author:

Id Said Badr1ORCID,Alfaraj Fatimah A2,Marta Gustavo N3,Kowalski Luiz P456,Kohler Hugo F4,Huang Shao H1,Su Jie7,Xu Wei7,Eng Lawson8,de Moraes Fabio Y9,Hahn Ezra1,Kim John J1,O’Sullivan Brian1,Ringash Jolie17,Waldron John1,Matos Leandro L56,Prisman Eitan10,Irish Jonathan C11,Yao Christopher M K L11,de Almeida John R11,Goldstein David P11,Hope Andrew1,Hosni Ali1ORCID

Affiliation:

1. Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto , Toronto, ON, Canada

2. Department of Radiation Oncology, BC Cancer Centre for the North, University of British Columbia , Prince George, BC, Canada

3. Department of Radiation Oncology, Hospital Sírio-Libanês , São Paulo, Brazil

4. Department of Head and Neck Surgery and Otorhinolaryngology, A C Camargo Cancer Center , Sao Paulo, Brazil

5. Department of Head and Neck Surgery, University of Sao Paulo Medical School , São Paulo, Brazil

6. Head and Neck Surgery Service, Sao Paulo State Cancer Institute , Sao Paulo, Brazil

7. Department of Biostatistics , Princess Margaret Cancer Centre , Toronto, ON, Canada

8. Department of Medical Oncology, Princess Margaret Cancer Centre, University of Toronto , Toronto, ON, Canada

9. Department of Radiation Oncology, Kingston General Hospital, Queen's University , Kingston, ON, Canada

10. Department of Otolaryngology, University of British Columbia , Vancouver, BC, Canada

11. Department of Otolaryngology-Head and Neck Surgery/Surgical Oncology, Princess Margaret Cancer Centre, University of Toronto , Toronto, ON, Canada

Abstract

Abstract Background We aimed to develop and validate a risk-scoring system for distant metastases (DMs) in oral cavity carcinoma (OCC). Methods Patients with OCC who were treated at 4 tertiary cancer institutions with curative surgery with or without postoperative radiation/chemoradiation therapy were randomly assigned to discovery or validation cohorts (3:2 ratio). Cases were staged on the basis of tumor, node, and metastasis staging according to the eighth edition of the American Joint Committee on Cancer/Union for International Cancer Control guidelines. Predictors of DMs on multivariable analysis in the discovery cohort were used to develop a risk-score model and classify patients into risk groups. The utility of the risk classification was evaluated in the validation cohort. Results Overall, 2749 patients were analyzed. Predictors (risk score coefficient) of DMs in the discovery cohort were the following: pathological stage (p)T3-4 (0.4), pN+ (N1: 0.8; N2: 1.0; N3: 1.5), histologic grade (G) 3 (G3, 0.7), and lymphovascular invasion (0.4). The DM risk groups were defined by the sum of the following risk score coefficients: high (>1.7), intermediate (0.7-1.7), and standard risk (<0.7). The 5-year DM rates (high/intermediate/standard risk groups) were 30%/15%/4% in the discovery cohort (C-index = 0.79) and 35%/16%/5% in the validation cohort, respectively (C-index = 0.77; both P < .001). In the whole cohort, this predictive model showed excellent discriminative ability in predicting DMs without locoregional failure (29%/11%/1%), later (>2 year) DMs (11%/4%/2%), and DMs in patients treated with surgery (20%/12%/5%), postoperative radiation therapy (34%/17%/4%), and postoperative chemoradiation therapy (39%/18%/7%) (all P < .001). The 5-year overall survival rates in the overall cohort were 25%/51%/67% (P < .001). Conclusions Patients at higher risk for DMs were identified by use of a predictive-score model for DMs that included pT3-4, pN1/2/3, G3, and lymphovascular invasion. Identified patients may be evaluated for individualized risk-adaptive treatment escalation and/or surveillance strategies.

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Oncology

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