Identification of an Individualized Prognostic Biomarker for Serous Ovarian Cancer: A Qualitative Model.
Identification of an Individualized Prognostic Biomarker for Serous Ovarian Cancer: A Qualitative Model.
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DOI：
10.3390/diagnostics12123128
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发表时间：
2022-12-12
期刊：
影响因子：
3.6
通讯作者：
Hong, Guini
中科院分区：
文献类型：
--
作者：
Luo, Fengyuan;Li, Na;Zhang, Qi;Ma, Liyuan;Li, Xinqiao;Hu, Tao;Zhong, Haijian;Li, Hongdong;Hong, Guini
浆液性卵巢癌是最常见的卵巢上皮癌类型，通常预后不良。本研究的目的是建立一个预测浆液性卵巢癌总生存率的个体化预后模型。基于与浆液性卵巢癌预后密切相关的基因对的相对表达顺序（Ea > Eb/Ea ≤ Eb），我们尝试通过贪婪算法构建潜在的个体化定性生物标志物，并在独立验证数据集上评估其性能。我们构建了由20个基因对组成的预后生物标志物（SOV-P20）。在来自其他平台的训练和独立验证数据集中，通过SOV-P20分层的高风险组和低风险组之间的总生存期在统计学上显著不同（p < 0.05，Wilcoxon检验）。训练数据集和三个验证数据集的平均曲线下面积（AUC）值分别为0.756、0.590、0.630和0.680。大多数免疫细胞在高风险组和低风险组之间的分布差异很大（p < 0.001，Wilcoxon检验）。低风险患者倾向于显示出比高风险患者显著更好的肿瘤对化疗的反应（p < 0.05，Fisher精确检验）。SOV-P20的平均一致性指数（C指数）（0.624）与其他7个现有的预后标志（范围从0.511到0.619）相比达到最高。SOV-P20是一种有前景的浆液性卵巢癌预后生物标志物，可用于临床预测风险评估。
Serous ovarian cancer is the most common type of ovarian epithelial cancer and usually has a poor prognosis. The objective of this study was to construct an individualized prognostic model for predicting overall survival in serous ovarian cancer. Based on the relative expression orderings (Ea > Eb/Ea ≤ Eb) of gene pairs closely associated with serous ovarian prognosis, we tried constructing a potential individualized qualitative biomarker by the greedy algorithm and evaluated the performance in independent validation datasets. We constructed a prognostic biomarker consisting of 20 gene pairs (SOV-P20). The overall survival between high- and low-risk groups stratified by SOV-P20 was statistically significantly different in the training and independent validation datasets from other platforms (p < 0.05, Wilcoxon test). The average area under the curve (AUC) values of the training and three validation datasets were 0.756, 0.590, 0.630, and 0.680, respectively. The distribution of most immune cells between high- and low-risk groups was quite different (p < 0.001, Wilcoxon test). The low-risk patients tended to show significantly better tumor response to chemotherapy than the high-risk patients (p < 0.05, Fisher’s exact test). SOV-P20 achieved the highest mean index of concordance (C-index) (0.624) compared with the other seven existing prognostic signatures (ranging from 0.511 to 0.619). SOV-P20 is a promising prognostic biomarker for serous ovarian cancer, which will be applicable for clinical predictive risk assessment.
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影响因子：
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作者：
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DOI：
10.3102/10769986027001077
发表时间：
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影响因子：
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影响因子：
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