Prognostic significance of cyclin D1 expression pattern in HPV-negative oral and oropharyngeal carcinoma: A deep-learning approach
Prognostic significance of cyclin D1 expression pattern in HPV-negative oral and oropharyngeal carcinoma: A deep-learning approach
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DOI：
10.1111/jop.13482
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发表时间：
2023-09-13
影响因子：
3.3
通讯作者：
Zhang，Jiali
中科院分区：
文献类型：
--
作者：
Yang，Ke;Zhu，Guixin;Zhang，Jiali
本研究旨在利用一种新的人类乳头瘤病毒阴性口腔或口咽鳞状细胞癌患者细胞周期蛋白D1表达模式评分系统建立图像识别和生存预测模型。方法回顾性分析610例人乳头瘤病毒阴性口腔/口咽鳞状细胞癌的临床病理资料。进行Cox单因素和多因素风险回归分析，比较cyclin D1表达模式评分与传统评分方法cyclin D1表达水平评分与患者总生存期和无进展生存期的关系。采用YOLOv5算法建立cyclin D1表达模式评分系统的图像识别模型。在此基础上，分别利用deepphit和DeepSurv算法建立了两个独立的生存预测模型。结果cyclind1在口腔和口咽鳞状细胞癌癌巢中有三种表达模式。与cyclin D1表达水平评分相比，cyclin D1表达模式评分与口腔鳞状细胞癌和口咽鳞状细胞癌患者的预后有显著相关性（p< 0.0001）。此外，在口腔鳞状细胞癌（p< 0.0001）和口咽鳞状细胞癌（p< 0.05）中，它都是一个独立的预后危险因素。cyclin D1表达模式衍生的图像识别模型的平均测试集准确率为78.48%±4.31%。在总生存预测模型中，DeepSurv和DeepHit建立的测试集的平均一致性指数分别为0.71±0.02和0.70±0.01。结论结合cyclin D1表达谱的图像识别模型，生存预测模型对人乳头瘤病毒阴性口腔或口咽鳞状细胞癌患者的总体生存预后有较好的预测效果。
BackgroundWe aimed to establish image recognition and survival prediction models using a novel scoring system of cyclin D1 expression pattern in patients with human papillomavirus‐negative oral or oropharyngeal squamous cell carcinoma.MethodsThe clinicopathological data of 610 patients with human papillomavirus‐negative oral/oropharyngeal squamous cell carcinoma were analyzed retrospectively. Cox univariate and multivariate risk regression analyses were performed to compare cyclin D1 expression pattern scoring with the traditional scoring method—cyclin D1 expression level scoring—in relation to patients' overall and progression‐free survival. An image recognition model employing the cyclin D1 expression pattern scoring system was established by YOLOv5 algorithms. From this model, two independent survival prediction models were established using the DeepHit and DeepSurv algorithms.ResultsCyclin D1 had three expression patterns in oral and oropharyngeal squamous cell carcinoma cancer nests. Superior to cyclin D1 expression level scoring, cyclin D1 expression pattern scoring was significantly correlated with the prognosis of patients with oral squamous cell carcinoma (p< 0.0001) and oropharyngeal squamous cell carcinoma (p< 0.05). Moreover, it was an independent prognostic risk factor in both oral squamous cell carcinoma (p< 0.0001) and oropharyngeal squamous cell carcinoma (p< 0.05). The cyclin D1 expression pattern‐derived image recognition model showed an average test set accuracy of 78.48% ± 4.31%. In the overall survival prediction models, the average concordance indices of the test sets established by DeepSurv and DeepHit were 0.71 ± 0.02 and 0.70 ± 0.01, respectively.ConclusionCombined with the image recognition model of the cyclin D1 expression pattern, the survival prediction model had a relatively good prediction effect on the overall survival prognosis of patients with human papillomavirus‐negative oral or oropharyngeal squamous cell carcinoma.