Abstract 1172
Background
Rhabdomyosarcoma (RMS) represents a malignant tumor of skeletal muscle origin, accounting for 5-10% of childhood cancers and more than 50% of pediatric soft tissue sarcoma. The head and neck occupied about 35% of the main sites of RMSs and most of these tumors are located in orbit, which contributes to 10% of all sites of RMSs. Due to the rarity of orbital RMS, the published studies of the clinical and pathological factors of orbital RMS could only provide limited information due to the small numbers of cohort or single institution. The aim of the current study was to evaluate the cumulative incidence of cancer-specific and competing risk death for patients with orbital RMS after surgery and build nomograms to predict survival based on a large population-based cohort.
Methods
Patients pathologically diagnosed with orbital RMS between 2004 and 2015 from the Surveillance, Epidemiology, and End Results (SEER) database were retrospectively collected. Nomograms for estimating overall survival (OS) and cancer-specific survival (CSS) were established based on Cox regression model and Fine and Grey’s model. The precision of the nomograms was evaluated and compared using concordance index (C-index) and the area under receiver operating characteristic (ROC) curve (AUC).
Results
A total of identified 217 patients with orbital RMS were retrospectively collected. The 10-, 20- and 40-year OS rates and cancer-specific mortality were 82.5%, 72.2% and 48.9%, respectively and 14.8%, 21.7% and 21.7%, respectively. The established nomograms were well calibrated and validated, with C-index of 0.901 and 0.944 for OS prediction, 0.923 and 0.904, for CSS prediction in the training and validation cohort, respectively. The values of AUC for 10-, 20-, and 40-year OS and CSS prediction were 0.908, 0.826 and 0.847, and 0.924, 0.863 and 0.863, respectively.
Conclusions
The survival rates were evaluated for patients with orbital RMS and the specialized nomograms were established for OS and CSS prediction for the first time, which showed relatively good performances and could be convenient individualized predictive tools for prognosis.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
This study was supported by the funding of Sun Yat-sen University Grant for Medical Humanities Practice and Teaching (No. 23000-18008023).
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
2171 - CCND1 Amplification Contributes to Immunosuppression in Head and Neck Squamous Cell Carcinoma and the Association with a Poor Response to Immune Checkpoint Inhibitors
Presenter: Chloe Huang
Session: Poster Display session 3
Resources:
Abstract
2624 - Efficacy of PD-1/PD-L1 inhibitors in the treatment of non-small cell lung cancer patients with sensitive genes mutation
Presenter: Hui-Juan Cui
Session: Poster Display session 3
Resources:
Abstract
3494 - Neutrophil to Lymphocyte Ratio (NLR) kinetics as predictors of outcomes in metastatic renal cell carcinoma (mRCC) and non-small cell lung cancer (NSCLC) patients treated with nivolumab (N).
Presenter: Audrey Simonaggio
Session: Poster Display session 3
Resources:
Abstract
3964 - Predictive markers of checkpoint inhibitor activity in adult metastatic solid tumours
Presenter: Alexandra Pender
Session: Poster Display session 3
Resources:
Abstract
3041 - Blood-based TMB (bTMB) correlates with tissue-based TMB (tTMB) in a multi-cancer Phase I IO Cohort
Presenter: Daniel Araujo
Session: Poster Display session 3
Resources:
Abstract
3910 - Analysis of Molecular Profile Complexities for Immunotherapy Decision Support
Presenter: Robert Dóczi
Session: Poster Display session 3
Resources:
Abstract
4836 - The Role of Tumor Neoantigens in the Differential Response to Immunotherapy (IO) in EGFR and BRAF Mutated Lung Cancers - Quantity or Quality?
Presenter: Katrina Case
Session: Poster Display session 3
Resources:
Abstract
1929 - Impact of previous corticosteroid (CS) exposure on efficacy of Programmed Cell Death-(Ligand) 1 blockade in patients with advanced Non-Small-Cell Lung Cancer (NSCLC): a single Center retrospective analysis
Presenter: Fabrizio Nelli
Session: Poster Display session 3
Resources:
Abstract
2601 - Comparison 18F-FDG-PET/CT criteria for prediction of therapy response and clinical outcome in patients with metastatic melanoma treated with Ipilimumab and PD-1 inhibitors
Presenter: Sabrina Vari
Session: Poster Display session 3
Resources:
Abstract
3628 - Predictive model for survival in advanced non-small-cell lung cancer (NSCLC) treated with frontline pembrolizumab
Presenter: Xabier Mielgo Rubio
Session: Poster Display session 3
Resources:
Abstract