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Sci Rep ; 10(1): 1713, 2020 02 03.
Article in English | MEDLINE | ID: mdl-32015424

ABSTRACT

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 (70th 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.


Subject(s)
Carcinoma, Squamous Cell/diagnosis , Collagen Type IV/genetics , Matrix Metalloproteinase 1/genetics , Mouth Neoplasms/diagnosis , Prolyl Hydroxylases/genetics , Thrombospondins/genetics , Adult , Aged , Aged, 80 and over , Carcinoma, Squamous Cell/genetics , Female , Follow-Up Studies , Humans , Male , Margins of Excision , Middle Aged , Mouth Neoplasms/genetics , Neoplasm Recurrence, Local , Prognosis , Transcriptome
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