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Individualized risk assessment of distant metastases in oral cavity carcinoma: a validated predictive-score model.
Id Said, Badr; Alfaraj, Fatimah A; Marta, Gustavo N; Kowalski, Luiz P; Kohler, Hugo F; Huang, Shao H; Su, Jie; Xu, Wei; Eng, Lawson; de Moraes, Fabio Y; Hahn, Ezra; Kim, John J; O'Sullivan, Brian; Ringash, Jolie; Waldron, John; Matos, Leandro L; Prisman, Eitan; Irish, Jonathan C; Yao, Christopher M K L; de Almeida, John R; Goldstein, David P; Hope, Andrew; Hosni, Ali.
Afiliación
  • Id Said B; Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.
  • Alfaraj FA; Department of Radiation Oncology, BC Cancer Centre for the North, University of British Columbia, Prince George, BC, Canada.
  • Marta GN; Department of Radiation Oncology, Hospital Sírio-Libanês, São Paulo, Brazil.
  • Kowalski LP; Department of Head and Neck Surgery and Otorhinolaryngology, A C Camargo Cancer Center, Sao Paulo, Brazil.
  • Kohler HF; Department of Head and Neck Surgery, University of Sao Paulo Medical School, São Paulo, Brazil.
  • Huang SH; Head and Neck Surgery Service, Sao Paulo State Cancer Institute, Sao Paulo, Brazil.
  • Su J; Department of Head and Neck Surgery and Otorhinolaryngology, A C Camargo Cancer Center, Sao Paulo, Brazil.
  • Xu W; Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.
  • Eng L; Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, ON, Canada.
  • de Moraes FY; Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, ON, Canada.
  • Hahn E; Department of Medical Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.
  • Kim JJ; Department of Radiation Oncology, Kingston General Hospital, Queen's University, Kingston, ON, Canada.
  • O'Sullivan B; Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.
  • Ringash J; Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.
  • Waldron J; Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.
  • Matos LL; Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.
  • Prisman E; Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, ON, Canada.
  • Irish JC; Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.
  • Yao CMKL; Department of Head and Neck Surgery, University of Sao Paulo Medical School, São Paulo, Brazil.
  • de Almeida JR; Head and Neck Surgery Service, Sao Paulo State Cancer Institute, Sao Paulo, Brazil.
  • Goldstein DP; Department of Otolaryngology, University of British Columbia, Vancouver, BC, Canada.
  • Hope A; Department of Otolaryngology-Head and Neck Surgery/Surgical Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.
  • Hosni A; Department of Otolaryngology-Head and Neck Surgery/Surgical Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.
J Natl Cancer Inst ; 115(12): 1555-1562, 2023 12 06.
Article en En | MEDLINE | ID: mdl-37498564
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.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Boca / Carcinoma Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Natl Cancer Inst Año: 2023 Tipo del documento: Article País de afiliación: Canadá

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Boca / Carcinoma Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Natl Cancer Inst Año: 2023 Tipo del documento: Article País de afiliación: Canadá