Abstract 77P
Background
Neuroblastoma (NBL) is the most common and aggressive cancer in infants, and there are no robust predictive nomograms for NBL. In this study, a database from the Therapeutically Applicable Research to Generate Effective Treatments was applied to develop and validate a prognostic nomogram for the prediction of individual 5-year overall survival (OS) probability in patients with NBL.
Methods
A total of 729 eligible NBL patients with their clinicopathological factors and biological characteristics from the database were assigned to either the training cohort (n = 511) or the validation cohort (n = 218). Independent predictors were identified by fitting the Cox model with lasso penalty and then were assembled into a nomogram to predict survival. The model was developed for predicting individual 5-year OS probability and was then internally and externally validated, calibrated and compared in each cohort.
Results
Four independent prognostic factors (International NBL Staging System stage, ploidy, histology and Children’s Oncology Group risk group) were discriminated and achieved favourable prediction efficacy following the lasso model. The prognostic nomogram incorporated those factors that performed well in the training and validation cohorts with OS (HR = 0.36, 95% CI: 0.27-0.48, P < 0.0 001; HR = 0.54, 95% CI: 0.34-0.86, P = 0.0 086; respectively) and recurrence-free survival (HR = 0.52, 95% CI: 0.40-0.67, P < 0.0 001; HR = 0.66, 95% CI: 0.44-0.99, P = 0.044; respectively).
Conclusions
The robust prognostic nomogram with four independent prognostic factors can accurately and diversely predict OS and recurrence-free survival in NBL patients.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
329P - High-level expression of HDAC10 is associated with PD-L1 expression and poor prognosis in patients with non-small cell lung cancer receiving pulmonectomy
Presenter: Xiaomei Liu
Session: Poster display session
Resources:
Abstract
331P - A retrospective analysis of immune checkpoint therapy in patients with non-small cell lung cancer: Focus on thyroid disorder
Presenter: Sawana Ono
Session: Poster display session
Resources:
Abstract
332P - Analyse the association between adverse events (AEs) and survival in patients treated with immune checkpoint inhibitors (ICIs)
Presenter: Chi-yuan Cheng
Session: Poster display session
Resources:
Abstract
333P - Study of searching on efficacy of immune checkpoint inhibitor for the non-small cell lung cancer using FDG-PET/CT and thallium SPECT
Presenter: KAYOKO Kibata
Session: Poster display session
Resources:
Abstract
334P - Incidence and characteristic of adrenal insufficiency due to immune checkpoint inhibitors therapy
Presenter: Daisuke Etoh
Session: Poster display session
Resources:
Abstract
335P - PD-L1 profile of nasopharyngeal cancer patients in Indonesia
Presenter: Handoko Handoko
Session: Poster display session
Resources:
Abstract
336P - Pembrolizumab plus chemotherapy versus pembrolizumab monotherapy for PD-L1-positive advanced non-small cell lung cancer in the real world
Presenter: Jun Sugisaka
Session: Poster display session
Resources:
Abstract
337P - Neutrophil-to-Lymphocyte ratio as a predictive factor for hyperprogressive disease in NSCLC patients treated with immune checkpoint inhibitor
Presenter: Ryo Takahashi
Session: Poster display session
Resources:
Abstract
338P - A new insight into tumour immune-evasion: Crosstalk between cancer stem cells and T regulatory cells
Presenter: Abhishek Dutta
Session: Poster display session
Resources:
Abstract
339TiP - PACIFIC-5: Phase III study of durvalumab after either concurrent or sequential chemoradiotherapy (CRT) in patients with stage III NSCLC
Presenter: Yi-Long Wu
Session: Poster display session
Resources:
Abstract