Department of Pediatrics and Oncology, Cumming School of Medicine, University of Calgary, 3330 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada.
Department of Pediatrics, Hematology/Oncology Section, Arkansas Children's Hospital, University of Arkansas for Medical Sciences, Little Rock, AR, 72202, USA.
Sci Rep. 2023 Aug 2;13(1):12526. doi: 10.1038/s41598-023-37714-9.
Survival outcomes for patients with neuroblastoma vary markedly and reliable prognostic markers and risk stratification tools are lacking. We sought to identify and validate a transcriptomic signature capable of predicting risk of mortality in patients with neuroblastoma. The TARGET NBL dataset (n = 243) was used to develop the model and two independent cohorts, E-MTAB-179 (n = 478) and GSE85047 (n = 240) were used as validation sets. EFS was the primary outcome and OS was the secondary outcome of interest for all analysis. We identified a 21-gene signature capable of stratifying neuroblastoma patients into high and low risk groups in the E-MTAB-179 (HR 5.87 [3.83-9.01], p < 0.0001, 5 year AUC 0.827) and GSE85047 (HR 3.74 [2.36-5.92], p < 0.0001, 5 year AUC 0.815) validation cohorts. Moreover, the signature remained independent of known clinicopathological variables, and remained prognostic within clinically important subgroups. Further, the signature was effectively incorporated into a risk model with clinicopathological variables to improve prognostic performance across validation cohorts (Pooled Validation HR 6.93 [4.89-9.83], p < 0.0001, 5 year AUC 0.839). Similar prognostic utility was also demonstrated with OS. The identified signature is a robust independent predictor of EFS and OS outcomes in neuroblastoma patients and can be combined with clinically utilized clinicopathological variables to improve prognostic performance.
神经母细胞瘤患者的生存结果差异很大,目前缺乏可靠的预后标志物和风险分层工具。我们试图鉴定和验证一种能够预测神经母细胞瘤患者死亡风险的转录组特征。TARGET NBL 数据集(n=243)用于开发模型,两个独立的队列,E-MTAB-179(n=478)和 GSE85047(n=240)被用作验证集。EFS 是所有分析的主要终点,OS 是次要终点。我们鉴定了一个 21 基因特征,能够将 E-MTAB-179 中的神经母细胞瘤患者分为高风险和低风险组(HR 5.87[3.83-9.01],p<0.0001,5 年 AUC 0.827)和 GSE85047(HR 3.74[2.36-5.92],p<0.0001,5 年 AUC 0.815)验证队列。此外,该特征与已知的临床病理变量独立,并且在临床上重要的亚组中仍然具有预后意义。此外,该特征有效地与临床病理变量纳入风险模型中,以提高验证队列的预后性能(合并验证 HR 6.93[4.89-9.83],p<0.0001,5 年 AUC 0.839)。OS 也显示出相似的预后效用。鉴定的特征是神经母细胞瘤患者 EFS 和 OS 结果的强大独立预测因子,可与临床使用的临床病理变量相结合,以提高预后性能。