Abstract 1323
Background
Credible prognostic stratification remains a challenge for neuroblastoma (NBL) with variable clinical manifestations. RNA expression signatures might predict the outcomes; notwithstanding, independent cross-platform validation is still rare.
Methods
RNA expression data were obtained from NBL patients and then analyzed. In TARGET-NBL data, an RNA-based prognostic signature was developed and validated. Survival prediction was assessed using a time-dependent receiver operating characteristic (ROC) curve. Functional enrichment analysis of the RNAs was conducted using bioinformatics methods.
Results
A total of 1,119 differentially expressed RNAs and 149 prognosis-related RNAs were identified sequentially. Then, in the training cohort, 12 RNAs were identified as significantly associated with overall survival (OS) and were combined to develop a model that stratified NBL patients into low- and high-risk groups. Twelve RNA signature high-risk patients had poorer OS in the training cohort (n = 105, Hazard Ratios (HR)= 0.10 (0.05-0.20), P < 0.001) and in the validation cohort (n = 44, HR = 0.25 (0.09-0.69), P = 0.008). ROC curve analysis also showed that both the training and validation cohorts performed well in predicting OS (12-month AUC values of 0.852 and 0.438, 36-month AUC values of 0.824 and 0.737, and 60-month AUC values of 0.802 and 0.702, respectively). Moreover, these 12 RNAs may be involved in certain events that are known to be associated with NBL through functional enrichment analysis.
Conclusions
This study identified and validated a novel 12-RNA prognostic signature to reliably distinguish NBL patients at low and high risk of death. Further larger, multicenter prospective studies are desired to validate this model.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
National Natural Science Foundation of China (Grant No. 81660512).
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
2743 - The Impact of Targeted Therapies and Immunotherapy in Melanoma Brain Metastases: a Systematic Review and Meta-Analysis
Presenter: Mario Mandala
Session: Poster Display session 3
Resources:
Abstract
5479 - Intracranial Anti-Tumor Activity in Melanoma Brain Metastases with Encorafenib Plus Binimetinib: A Multicenter, Retrospective Analysis
Presenter: Jose Lutzky
Session: Poster Display session 3
Resources:
Abstract
3560 - Outcomes of Patients with Melanoma Brain Metastases (MBM) Treated with Standard of Care Therapy After Being Excluded from MBM-Specific Clinical Trials
Presenter: Kourtney Holbrook
Session: Poster Display session 3
Resources:
Abstract
3175 - The analysis of current treatment outcomes in melanoma patients with brain metastases
Presenter: Joanna Placzke
Session: Poster Display session 3
Resources:
Abstract
4550 - A multivariate model to define prognostic groups among patients with melanoma brain metastases: a 10-year retrospective cohort study
Presenter: Giacomo Pelizzari
Session: Poster Display session 3
Resources:
Abstract
4191 - The immune landscape of melanoma significantly influences survival in patients with highly mutated tumors.
Presenter: Robert Ferguson
Session: Poster Display session 3
Resources:
Abstract
1625 - Final Results from Phase II of Combination with Canerpaturev (formerly HF10), an Oncolytic Viral Immunotherapy, and Ipilimumab in Unresectable or Metastatic Melanoma in 2nd-or later line treatment
Presenter: Kenji Yokota
Session: Poster Display session 3
Resources:
Abstract
5346 - Evaluating polygenic risk score prediction model for melanoma prognosis
Presenter: Miriam Potrony
Session: Poster Display session 3
Resources:
Abstract
5477 - Impact of sarcopenia in patients with metastatic melanoma treated with immunotherapy
Presenter: Maria Grazia Vitale
Session: Poster Display session 3
Resources:
Abstract
3469 - Ancillary evaluation of systemic immune antitumor response (SIAR) and tumor growth rate (TGR) of patients (pts) with metastatic melanoma (MM) treated with radiotherapy (RT) combined with ipilimumab (ipi) in the phase 1 study Mel-Ipi-Rx.
Presenter: Celine Boutros
Session: Poster Display session 3
Resources:
Abstract