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
4021 - Prospective pathological experience with research biopsies in the context of clinical trials at Vall d’Hebron Institute of Oncology
Presenter: Paolo Nuciforo
Session: Poster Display session 3
Resources:
Abstract
5603 - Development of a comprehensive next-generation targeted sequencing assay for detection of gene-fusions in solid tumors
Presenter: Vinay Mittal
Session: Poster Display session 3
Resources:
Abstract
4952 - Next-generation sequencing for better treatment strategy of cancer of unknown primary (CUP)
Presenter: Kang Kook Lee
Session: Poster Display session 3
Resources:
Abstract
4590 - Circulating-free DNA analysis from long-term surviving metastatic colorectal cancer patients undergoing surgery for resectable disease.
Presenter: Michele Ghidini
Session: Poster Display session 3
Resources:
Abstract
3696 - Ultra-sensitive detection of circulating tumor DNA identifies patients in high risk of recurrence in early stages melanoma
Presenter: Filip Janku
Session: Poster Display session 3
Resources:
Abstract
4295 - Identification of the founder BRCA1 mutation c.4117G>T (p.Glu1373*) recurring in Abruzzo and Lazio regions of Central Italy and predisposing to breast/ovarian and BRCA1-related cancers
Presenter: Daniela Di Giacomo
Session: Poster Display session 3
Resources:
Abstract
2214 - Enzalutamide (ENZA) and Apalutamide (APA) In vitro chemical reactivity studies and Activity in a Mouse Drug Allergy Model (MDAM)
Presenter: Mausumee Guha
Session: Poster Display session 3
Resources:
Abstract
5044 - Influence of genetic variation in COMT on cisplatin-induced nephrotoxicity in cancer patients.
Presenter: Bram Agema
Session: Poster Display session 3
Resources:
Abstract
3293 - Cardioprotective and anti-inflammatory effects of Empagliflozin during treatment with Doxorubicin: a cellular and preclinical study
Presenter: Vincenzo Quagliariello
Session: Poster Display session 3
Resources:
Abstract
3324 - Breast Cancer Organoids Model Treatment Response of HER2 Targeted Therapy in HER2-mutant Breast Cancer
Presenter: Xuelu Li
Session: Poster Display session 3
Resources:
Abstract