Identification and Validation of Inflammatory Response-Related Gene Signatures to Predict the Prognosis of Neuroblastoma

Jiye Song; Liang Song; Zhenmei Lv; Jianke Liu; Xuan Feng; Song Zhang; Aiqin Song

doi:10.1155/2022/2417351

Identification and Validation of Inflammatory Response-Related Gene Signatures to Predict the Prognosis of Neuroblastoma

Int J Genomics. 2022 Apr 30:2022:2417351. doi: 10.1155/2022/2417351. eCollection 2022.

Authors

Jiye Song^{1

2

3}, Liang Song¹, Zhenmei Lv¹, Jianke Liu¹, Xuan Feng¹, Song Zhang¹, Aiqin Song¹

Affiliations

¹ Department of Pediatric Medical Center, The Affiliated Hospital of Qingdao University, Qingdao, China.
² Qingdao Medical College, Qingdao University, Qingdao, China.
³ Qingdao Women and Children's Hospital, Qingdao University, China.

Abstract

Background: Neuroblastoma (NB) is the third most common malignant tumor in children. The inflammation is believed to be closely related to NB patients' prognosis. However, there is no comprehensive research to study the role of inflammatory response-related gene (IRRG) in NB patients.

Methods: We downloaded the gene expression profiles of NB patients from GEO and TARGET database, and the expression of 200 IRRGs was extracted. Then, we performed differentially analysis between INSS stage 4 and INSS stage 4S NB patients. The univariate and multivariate Cox regression analyses were performed to screen out the overall survival- (OS-) and event-free survival- (EFS-) related IRRGs in GSE49710, and two signatures were constructed; both signatures were evaluated by Kaplan-Meier (K-M) survival curve and receiver operating characteristic (ROC) curve. Finally, the TARGET cohort was used to validate IRRG signatures, and the independence of the prognostic IRRG signatures was evaluated by integrating clinical information.

Results: We screened out 10 OS-related IRRGs and 11 EFS-related IRRGs. Then, we identified that OS- and EFS-related IRRG signatures and found that the OS and EFS of NB patients in the low-risk group were significantly superior than those in the high-risk group (both P value < 0.0001). The AUC values of 3-, 5-, and 7-year OS are 0.910, 0.933, and 0.921, respectively, and 3-, 5-, and 7-year EFS are 0.840, 0.835, and 0.837, respectively. In addition, we found that both IRRG signatures can be used as independent prognostic indicators for patients with NB. Both IRRG signatures still have good predictive ability in validation cohort.

Conclusions: We constructed and validated two prognostic gene signatures based on IRRGs. Our study helped us to better understand the role of inflammation in NB and provided new insights for the prognosis assessment and treatment strategy for NB patients.