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

article
Autores

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

Data de Publicação

6 de dezembro de 2023

Resumo

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.

Citação

BibTeX
@online{said,_badr2023,
  author = {Said, Badr, Id and Fatimah A , Alfaraj and Gustavo N , Marta
    and Luiz P , Kowalski and Hugo F , Kohler and Shao H , Huang and Jie
    , Su and Wei , Xu and Lawson , Eng and Moraes, Fabio Y, De and Ezra
    , Hahn and John J , Kim and Brian , O’Sullivan and Jolie , Ringash
    and John , Waldron and Leandro L , Matos and Eitan , Prisman and
    Jonathan C , Irish and Christopher M K L , Yao and Almeida, John R,
    De and David P , Goldstein and Andrew , Hope and Ali , Hosni},
  title = {Individualized risk assessment of distant metastases in oral
    cavity carcinoma: a validated predictive-score model},
  volume = {115},
  number = {12},
  date = {2023-12-06},
  doi = {10.1093/jnci/djad144},
  langid = {pt-BR},
  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.}
}
Por favor, cite este trabalho como:
Said, Badr, Id, Alfaraj Fatimah A, Marta Gustavo N, Kowalski Luiz P, Kohler Hugo F, Huang Shao H, Su Jie, et al. 2023. “Individualized risk assessment of distant metastases in oral cavity carcinoma: a validated predictive-score model.” JNCI: Journal of the National Cancer Institute. December 6, 2023. https://doi.org/10.1093/jnci/djad144.