São Paulo State University, UNESP, Faculty of Medicine, Department of Surgery and Orthopedics, Botucatu, SP, Brazil.
Krembil Research Institute, University Health Network, Toronto, ON, Canada.
Sci Rep. 2020 Feb 3;10(1):1713. doi: 10.1038/s41598-020-58688-y.
Prognostic biomarkers for recurrence of Oral Squamous Cell Carcinoma (OSCC) are urgently needed. We aimed to independently validate a 4-gene expression signature (MMP1, COL4A1, P4HA2, THBS2) predictive of OSCC recurrence risk. Gene expression was measured using Nanostring nCounter in 245 histologically normal surgical resection margins from 62 patients. Association between risk scores for individual patients and recurrence was assessed by Kaplan-Meier analysis. Signature performance was quantified by concordance index (CI), hazard ratio (HR) and the area under receiver operating characteristics (AUC). Risk scores for recurrence were significantly higher than recurrence-free patients (p = 9.58e-7, Welch's t-test). A solid performance of the 4-gene signature was determined: CI = 0.64, HR = 3.38 (p = 1.4E-4; log-rank test), AUC = 0.71. We showed that three margins per patient are sufficient to preserve predictive performance (CI = 0.65; HR = 2.92; p = 2.94e-3; AUC = 0.71). Association between the predicted risk scores and recurrence was assessed and showed HR = 2.44 (p = 9.6E-3; log-rank test, N = 62). Signature performance analysis was repeated using an optimized threshold (70 percentile of risks), resulting in HR = 3.38 (p = 1.4E-4; log-rank test, N = 62). The 4-gene signature was validated as predictive of recurrence risk in an independent cohort of patients with resected OSCC and histologically negative margins, and is potentially applicable for clinical decision making on adjuvant treatment and disease monitoring.
预测口腔鳞状细胞癌(OSCC)复发的预后生物标志物是迫切需要的。我们旨在独立验证一个 4 基因表达特征(MMP1、COL4A1、P4HA2、THBS2),预测 OSCC 复发风险。使用 Nanostring nCounter 在 62 名患者的 245 份组织学正常的手术切缘中测量基因表达。通过 Kaplan-Meier 分析评估患者个体风险评分与复发之间的关联。通过一致性指数(CI)、风险比(HR)和接受者操作特征曲线下面积(AUC)来量化特征性能。复发风险评分显著高于无复发患者(p=9.58e-7,Welch 检验)。确定了 4 基因特征的可靠性能:CI=0.64,HR=3.38(p=1.4E-4;对数秩检验),AUC=0.71。我们表明,每位患者的三个切缘足以保持预测性能(CI=0.65;HR=2.92;p=2.94e-3;AUC=0.71)。评估预测风险评分与复发之间的关系,显示 HR=2.44(p=9.6E-3;对数秩检验,N=62)。使用优化的阈值(风险的 70 百分位数)重复特征性能分析,导致 HR=3.38(p=1.4E-4;对数秩检验,N=62)。该 4 基因特征在具有切除的 OSCC 和组织学阴性切缘的患者的独立队列中被验证为预测复发风险,并且可能适用于辅助治疗和疾病监测的临床决策。