Development and validation of a 21-gene prognostic signature in neuroblastoma

被引:2
|
作者
Gupta, Mehul [1 ]
Kannappan, Sunand [1 ]
Jain, Mohit [1 ]
Douglass, David [2 ]
Shah, Ravi [1 ]
Bose, Pinaki [3 ,4 ,5 ]
Narendran, Aru [1 ,3 ,4 ,5 ]
机构
[1] Univ Calgary, Cumming Sch Med, Dept Pediat & Oncol, 3330 Hosp Drive NW, Calgary, AB T2N 4N1, Canada
[2] Univ Arkansas Med Sci, Arkansas Childrens Hosp, Dept Pediat, Hematol Oncol Sect, Little Rock, AR 72202 USA
[3] Univ Calgary, Cumming Sch Med, Dept Oncol, 3330 Hosp Drive NW, Calgary, AB T2N 4N1, Canada
[4] Univ Calgary, Cumming Sch Med, Dept Biochem & Mol Biol, 3330 Hosp Drive NW, Calgary, AB T2N 4N1, Canada
[5] Univ Calgary, Arnie Charbonneau Canc Inst, Cumming Sch Med, Calgary, AB T2N 4N1, Canada
关键词
HIGH-RISK NEUROBLASTOMA; NEURONAL DIFFERENTIATION; INTERNATIONAL CRITERIA; SPONTANEOUS REGRESSION; CLASSIFICATION-SYSTEM; EXPRESSION SIGNATURE; STRATIFICATION; PREDICTION; CHILDREN; CHEMOTHERAPY;
D O I
10.1038/s41598-023-37714-9
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页数:12
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