Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, St Mary's Hospital, Manchester, United Kingdom.
Department of Obstetrics and Gynaecology, Manchester Academic Health Science Centre, St Mary's Hospital, Central Manchester NHS Foundation Trust, Manchester Academic Health Science Centre, Level 5, Research, Manchester, United Kingdom.
PLoS One. 2023 Mar 23;18(3):e0281798. doi: 10.1371/journal.pone.0281798. eCollection 2023.
For patients with advanced epithelial ovarian cancer, complete surgical cytoreduction remains the strongest predictor of outcome. However, identifying patients who are likely to benefit from such surgery remains elusive and to date few surgical outcome prediction tools have been validated. Here we attempted to externally validate a promising three protein signature, which had previously shown strong association with suboptimal surgical debulking (AUC 0.89, accuracy 92.8%), (Riester, M., et al., (2014)).
238 high-grade epithelial ovarian cancer samples were collected from patients who participated in a large multicentre trial (ICON5). Samples were collected at the time of initial surgery and before randomisation. Surgical outcome data were collated from prospectively collected study records. Immunohistochemical scores were generated by two independent observers for the three proteins in the original signature (POSTN, CXCL14 and pSmad2/3). Predictive values were generated for individual and combination protein signatures.
When assessed individually, none of the proteins showed any evidence of predictive affinity for suboptimal surgical outcome in our cohort (AUC POSTN 0.55, pSmad 2/3 0.53, CXCL 14 0.62). The combined signature again showed poor predictive ability with an AUC 0.58.
Despite showing original promise, when this protein signature is applied to a large external cohort, it is unable to accurately predict surgical outcomes. This could be attributed to overfitting of the original model, or differences in surgical practice between cohorts.
对于晚期上皮性卵巢癌患者,完全手术减瘤仍然是预后的最强预测因素。然而,确定哪些患者可能受益于此类手术仍然难以捉摸,迄今为止,很少有手术结果预测工具得到验证。在这里,我们试图对一种有前途的三蛋白标志物进行外部验证,该标志物先前与手术去瘤不彻底(AUC 0.89,准确率 92.8%)具有很强的关联(Riester,M.,等,(2014 年))。
从参与大型多中心试验(ICON5)的患者中收集了 238 例高级别上皮性卵巢癌样本。标本采集于初次手术时和随机分组前。从前瞻性收集的研究记录中整理手术结果数据。使用两位独立观察者为原始标志物中的三种蛋白(POSTN、CXCL14 和 pSmad2/3)生成免疫组织化学评分。为单个和组合蛋白标志物生成预测值。
单独评估时,在我们的队列中,没有一种蛋白显示出任何对手术去瘤不彻底的预测亲和力(POSTN 的 AUC 0.55、pSmad 2/3 的 AUC 0.53、CXCL 14 的 AUC 0.62)。组合标志物的预测能力也较差,AUC 为 0.58。
尽管该蛋白标志物最初显示出良好的前景,但当将其应用于大型外部队列时,它无法准确预测手术结果。这可能归因于原始模型的过度拟合,或队列之间手术实践的差异。