Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan.
Department of Radiation Oncology, University of Michigan Medical School, Ann Arbor, Michigan.
Cancer. 2019 Jan 1;125(1):68-78. doi: 10.1002/cncr.31739. Epub 2018 Oct 6.
Accurate, individualized prognostication in patients with oropharyngeal squamous cell carcinoma (OPSCC) is vital for patient counseling and treatment decision making. With the emergence of human papillomavirus (HPV) as an important biomarker in OPSCC, calculators incorporating this variable have been developed. However, it is critical to characterize their accuracy prior to implementation.
Four OPSCC calculators were identified that integrate HPV into their estimation of 5-year overall survival. Treatment outcomes for 856 patients with OPSCC who were evaluated at a single institution from 2003 through 2016 were analyzed. Predicted survival probabilities were generated for each patient using each calculator. Calculator performance was assessed and compared using Kaplan-Meier plots, receiver operating characteristic curves, concordance statistics, and calibration plots.
Correlation between pairs of calculators varied, with coefficients ranging from 0.63 to 0.90. Only 3 of 6 pairs of calculators yielded predictions within 10% of each other for at least 50% of patients. Kaplan-Meier curves of calculator-defined risk groups demonstrated reasonable stratification. Areas under the receiver operating characteristic curve ranged from 0.74 to 0.80, and concordance statistics ranged from 0.71 to 0.78. Each calculator demonstrated superior discriminatory ability compared with clinical staging according to the seventh and eighth editions of the American Joint Committee on Cancer staging manual. Among models, the Denmark calculator was found to be best calibrated to observed outcomes.
Existing calculators exhibited reasonable estimation of survival in patients with OPSCC, but there was considerable variability in predictions for individual patients, which limits the clinical usefulness of these calculators. Given the increasing role of personalized treatment in patients with OPSCC, further work is needed to improve accuracy and precision, possibly through the identification and incorporation of additional biomarkers.
在口咽鳞状细胞癌(OPSCC)患者中进行准确、个体化的预后预测对于患者咨询和治疗决策至关重要。随着人乳头瘤病毒(HPV)成为 OPSCC 的一个重要生物标志物,已经开发出了将这一变量纳入其中的计算器。然而,在实施之前,对其准确性进行特征描述是至关重要的。
确定了四个将 HPV 纳入其 5 年总生存率估计值的 OPSCC 计算器。分析了 2003 年至 2016 年在一家机构接受评估的 856 例 OPSCC 患者的治疗结果。使用每个计算器为每位患者生成预测的生存概率。使用 Kaplan-Meier 图、接收者操作特征曲线、一致性统计和校准图评估和比较计算器的性能。
计算器之间的相关性各不相同,相关系数范围为 0.63 至 0.90。只有 3 对 6 对计算器对至少 50%的患者的预测值在 10%以内。计算器定义的风险组的 Kaplan-Meier 曲线显示出合理的分层。接收者操作特征曲线下的面积范围为 0.74 至 0.80,一致性统计范围为 0.71 至 0.78。与第七和第八版美国癌症联合委员会分期手册相比,每个计算器均显示出比临床分期更好的鉴别能力。在这些模型中,丹麦计算器被发现与观察结果的校准效果最好。
现有的计算器在 OPSCC 患者的生存估计中表现出合理的估计,但对个别患者的预测存在相当大的差异,这限制了这些计算器的临床应用。鉴于个性化治疗在 OPSCC 患者中的作用越来越大,需要进一步努力提高准确性和精密度,可能需要通过确定和纳入额外的生物标志物来实现。