影响因子： 3.962PMID：32253542期刊年卷：Eur Radiol 2020 Apr 06;DOI：10.1007/s00330-020-06755-3作者列表: Beer L, Sahin H, Bateman NW, Blazic I, Vargas HA, Veeraraghavan H, Kirby J, Fevrier-Sullivan B, Freymann JB, Jaffe CC, Brenton J, Miccó M, Nougaret S, Darcy KM, Maxwell GL, Conrads TP, Huang E, Sala E,，下面我们就来说一说关于早期卵巢癌预后因素分析?我们一起去了解并探讨一下这个问题吧!
早期卵巢癌预后因素分析
Integration of proteomics with CT-based qualitative and radiomic features in high-grade serous ovarian cancer patients: an exploratory analysis影响因子： 3.962PMID：32253542期刊年卷：Eur Radiol 2020 Apr 06;DOI：10.1007/s00330-020-06755-3作者列表: Beer L, Sahin H, Bateman NW, Blazic I, Vargas HA, Veeraraghavan H, Kirby J, Fevrier-Sullivan B, Freymann JB, Jaffe CC, Brenton J, Miccó M, Nougaret S, Darcy KM, Maxwell GL, Conrads TP, Huang E, Sala E,
OBJECTIVES:To investigate the association between CT imaging traits and texture metrics with proteomic data in patients with high-grade serous ovarian cancer (HGSOC).
METHODS:This retrospective, hypothesis-generating study included 20 patients with HGSOC prior to primary cytoreductive surgery. Two readers independently assessed the contrast-enhanced computed tomography (CT) images and extracted 33 imaging traits, with a third reader adjudicating in the event of a disagreement. In addition, all sites of suspected HGSOC were manually segmented texture features which were computed from each tumor site. Three texture features that represented intra- and inter-site tumor heterogeneity were used for analysis. An integrated analysis of transcriptomic and proteomic data identified proteins with conserved expression between primary tumor sites and metastasis. Correlations between protein abundance and various CT imaging traits and texture features were assessed using the Kendall tau rank correlation coefficient and the Mann-Whitney U test, whereas the area under the receiver operating characteristic curve (AUC) was reported as a metric of the strength and the direction of the association. P values < 0.05 were considered significant.
RESULTS:Four proteins were associated with CT-based imaging traits, with the strongest correlation observed between the CRIP2 protein and disease in the mesentery (p < 0.001, AUC = 0.05). The abundance of three proteins was associated with texture features that represented intra-and inter-site tumor heterogeneity, with the strongest negative correlation between the CKB protein and cluster dissimilarity (p = 0.047, τ = 0.326).
CONCLUSION:This study provides the first insights into the potential associations between standard-of-care CT imaging traits and texture measures of intra- and inter-site heterogeneity, and the abundance of several proteins.
KEY POINTS:• CT-based texture features of intra- and inter-site tumor heterogeneity correlate with the abundance of several proteins in patients with HGSOC. • CT imaging traits correlate with protein abundance in patients with HGSOC.
高级别浆液性卵巢癌患者蛋白质组学与CT定性和放射组学特征的整合：一项探索性分析
目的：探讨高级别浆液性卵巢癌(HGSOC)患者的CT影像特征、纹理特征与蛋白质组学数据的关系。
方法：这项回顾性的、假设生成的研究包括20例HGSOC患者在初次细胞减少术前。两名读者独立评估了增强对比的计算机断层扫描(CT)图像，并提取了33个成像特征，第三名读者在意见不一致的情况下进行裁决。此外，所有可疑的HGSOC部位都是手动分割的纹理特征，这些纹理特征是从每个肿瘤部位计算出来的。三个代表肿瘤内和肿瘤间异质性的纹理特征被用于分析。对转录组和蛋白质组学数据的综合分析确定了在原发肿瘤部位和转移之间具有保守表达的蛋白质。使用Kendall tau秩相关系数和Mann-Whitney U检验评估蛋白质丰度与各种CT成像特征和纹理特征的相关性，而受试者操作特征曲线(AUC)下的面积被报告为关联强度和方向的度量。P值<0.05为显著。
结果：4种蛋白与CT影像特征相关，其中CRIP2蛋白与肠系膜疾病的相关性最强(p<0.001，AuC = 0.0 5)。三种蛋白的丰度与代表肿瘤内和部位间异质性的纹理特征相关，其中CkB蛋白与集群差异的负相关性最强(p = 0.047，τ = 0.326)。
结论：这项研究首次深入了解了标准医疗CT成像特征与部位内和部位间异质性的质地测量以及几种蛋白质丰度之间的潜在联系。
要点：·HGSOC患者肿瘤内和瘤间异质性的CT纹理特征与多种蛋白质的丰度相关。·HGSOC患者的CT影像特征与蛋白丰度相关。
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