Copy Number Alterations Predict Development of OSCC from Oral Leukoplakia

医学 恶性肿瘤 发育不良 内科学 生物标志物 接收机工作特性 基底细胞 肿瘤科 病理 胃肠病学 生物 遗传学
作者
Xu Cai,Jian Zhang,Li Li,Li Liu,Meng Tang,Shu‐Feng Zhou,Chao-Ran Peng,Xiaoyan Li,X. Chen,Manman Xu,H. Zhang,Jun Wang,Yuanjie Huang,Te Li
出处
期刊:Journal of Dental Research [SAGE Publishing]
卷期号:103 (2): 138-146 被引量:8
标识
DOI:10.1177/00220345231217160
摘要

Oral leukoplakia (OLK) is a common type of potentially malignant disorder. Early identification of the malignancy potential leads to a better management of OLK and prediction of development of oral squamous cell carcinoma (OSCC). However, there has been no effective biomarker to assess the risk of malignancy in OLK. Genomic copy number alteration (CNA) is a complex chromosomal structural variation in the genome and has been identified as a potential biomarker in multiple cancers. This study aimed to develop a predictive model for the malignant transformation risk of OLK by copy number analysis. A total of 431 OLK samples with long-term follow-up (median follow-up of 67 mo) from multiple academic centers were analyzed for CNAs. CNA events increased with the severity of hyperplasia, mild dysplasia, moderate dysplasia, and severe dysplasia. More CNA events were present in patients with OLK who later developed OSCC than in those with OLK who did not. By multivariate Cox regression analysis, the OLK of the CNA score high group showed an increased risk of malignant transformation than the CNA score low group ( P < 0.001). A CNA score model was developed to accurately predict the prognosis (area under the receiver operating characteristic curve [AUC] = 0.879; 95% confidence interval [CI], 0.799–0.959) and was validated using data from 2 external centers (AUC = 0.836, 95% CI, 0.683–0.989; AUC = 0.876, 95% CI, 0.682–1.000), and all of them showed better prediction performances than histopathological grade in assessing the transformation risk of OLK. Furthermore, we performed CNA models among 4 subgroups of OLK with hyperplasia, mild dysplasia, moderate dysplasia, and severe dysplasia and found that CNA score can accurately predict malignant transformation of different subgroups. CNA score may be a useful biomarker to predict malignant transformation of OLK. Subtyping of OLK by the CNA score could contribute to better management of OLK and predicting development of OSCC.
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