International Neuroblastoma Staging System Research Articles

Identification of prognostic biomarkers in neuroblastoma using WGCNA and multi-omics analysis

BackgroundNeuroblastoma (NB) is one of the most frequent parenchymal tumors among children, with a high degree of heterogeneity and wide variation in clinical presentation. Despite significant therapeutic advances in recent years, long-term survival in high-risk patients remains low, emphasizing the urgent need to find new biomarkers and construct reliable prognostic models.MethodsIn this study, data from neuroblastoma samples in the ArrayExpress database were utilized to identify key gene modules and pivotal genes associated with NB prognosis by weighted gene co-expression network analysis (WGCNA). The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analysis was performed using the DAVID database. Based on these hub genes, survival prognosis models were constructed and validated on an independent validation set in the Gene Expression Omnibus (GEO) database. Differences in biological functions and immune microenvironments and the sensitivity to pharmacological and immunotherapeutic treatments of patients in the high- and low-risk groups were examined by gene set enrichment analysis (GSEA) and immune infiltration analysis.ResultsWGCNA identified 14 gene modules and screened the module with the highest relevance to the International Neuroblastoma Staging System (INSS), containing 60 pivotal genes. GO and KEGG analyses demonstrated that these pivotal genes were mainly implicated in biological processes and signaling pathways including DNA replication, cell division, mitotic cell cycle, and cell cycle. Based on Lasso regression and COX regression analysis, a prognostic model containing DHFR, GMPS and E2F3 was constructed, and the RiskScore was significantly correlated with the 1-, 3- and 5-year survival of the patients. GSEA and immune infiltration analyses revealed significant differences in the levels of cell cycle-related pathways and immune cell infiltration between the high and low RiskScore groups. In particular, patients in the high-risk group are less likely to benefit from immunotherapy and may be better suited for treatment with drugs such as Oxaliplatin and Alpelisib.ConclusionThis research systematically identified biomarkers related to NB prognosis and developed a reliable prognostic model applying WGCNA and multiple bioinformatics methods. The model has important application value in predicting patients’ prognosis, evaluating drug sensitivity and immunotherapy effect, and provides new ideas and directions for precise treatment of neuroblastoma.

Long-term follow-up of patients with intermediate-risk neuroblastoma treated with response- and biology-based therapy: A report from the Children's Oncology Group study ANBL0531.

We previously reported excellent three-year overall survival (OS) for patients with newly diagnosed intermediate-risk neuroblastoma treated with a biology- and response-based algorithm on the Children's Oncology Group study ANBL0531. We now present the long-term follow-up results. All patients who met the age, stage, and tumor biology criteria for intermediate-risk neuroblastoma were eligible. Treatment was based on prognostic biomarkers and overall response. Event-free survival (EFS) and OS were estimated by the Kaplan-Meier method. The 10-year EFS and OS for the entire study cohort (n=404) were 82.0% (95% confidence interval (CI), 77.2%-86.9%) and 94.7% (95% CI, 91.8%-97.5%), respectively. International Neuroblastoma Staging System stage 4 patients (n=133) had inferior OS compared with non-stage 4 patients (n=271; 10-year OS: 90.8% [95% CI, 84.5%-97.0%] vs 96.6% [95% CI, 93.9%-99.4%], p=.02). Infants with stage 4 tumors with ≥1 unfavorable biological feature (n=47) had inferior EFS compared with those with favorable biology (n=61; 10-year EFS: 66.8% [95% CI, 50.4%-83.3%] vs 86.9% [95% CI, 76.0%-97.8%], p=.02); OS did not differ (10-year OS: 84.4% [95% CI, 71.8%-97.0%] vs 95.0% [95% CI, 87.7%-100.0%], p=.08). Inferior EFS but not OS was observed among patients with tumors with (n=26) versus without (n=314) 11q loss of heterozygosity (10-year EFS: 68.4% [95% CI, 44.5%-92.2%] vs 83.9% [95% CI, 78.7%-89.2%], p=.03; 10-year OS: 88.0% [95% CI, 72.0%-100.0%] vs 95.7% [95% CI, 92.8%-98.6%], p=.09). The ANBL0531 trial treatment algorithm resulted in excellent long-term survival. More effective treatments are needed for subsets of patients with unfavorable biology tumors.

Whole-tumoral metabolic heterogeneity in 18F-FDG PET/CT is a novel prognostic marker for neuroblastoma

BackgroundNeuroblastoma (NB) is a highly heterogeneous tumor, and more than half of newly diagnosed NB are associated with extensive metastases. Accurately characterizing the heterogeneity of whole-body tumor lesions remains clinical challenge. This study aims to quantify whole-tumoral metabolic heterogeneity (WMH) derived from whole-body tumor lesions, and investigate the prognostic value of WMH in NB.MethodsWe retrospectively enrolled 95 newly diagnosed pediatric NB patients in our department. Traditional semi-quantitative PET/CT parameters including the maximum standardized uptake value (SUVmax), the mean standardized uptake value (SUVmean), the peak standardized uptake value (SUVpeak), metabolic tumor volume (MTV) and total lesion glycolysis (TLG) were measured. These PET/CT parameters were expressed as PSUVmax, PSUVmean, PSUVpeak, PMTV, PTLG for primary tumor, WSUVmax, WSUVmean, WSUVpeak, WMTV, WTLG for whole-body tumor lesions. The metabolic heterogeneity was quantified using the areas under the curve of the cumulative SUV-volume histogram index (AUC-CSH index). Intra-tumoral metabolic heterogeneity (IMH) and WMH were extracted from primary tumor and whole-body tumor lesions, respectively. The outcome endpoints were overall survival (OS) and progression-free survival (PFS). Survival analysis was performed utilizing the univariate and multivariate Cox proportional hazards regression. The optimal cut-off values for metabolic parameters were obtained by receiver operating characteristic curve (ROC).ResultsDuring follow up, 27 (28.4%) patients died, 21 (22.1%) patients relapsed and 47 (49.5%) patients remained progression-free survival, with a median follow-up of 35.0 months. In survival analysis, WMTV and WTLG were independent indicators of PFS, and WMH was an independent risk factor of PFS and OS. However, IMH only showed association with PFS and OS. In addition to metabolic parameters, the International Neuroblastoma Staging System (INSS) was identified as an independent risk factor for PFS, and neuron-specific enolase (NSE) served as an independent predictor of OS.ConclusionWMH was an independent risk factor for PFS and OS, suggesting its potential as a novel prognostic marker for newly diagnosed NB patients.

AI/ML-derived mechanistically interpretable whole-genome biomarkers of patient survival in pre-treatment primary neuroblastoma tumors and whole blood.

10043 Background: Prediction, understanding, and management, of neuroblastoma (NBL) outcomes, from spontaneous regression to relapse and death, remain limited, and rely mostly on the International Neuroblastoma Staging System (INSS) stage, age, and the one-gene test for MYCN amplification. The entire multi-ome affects every aspect of the disease. But typical artificial intelligence and machine learning (AI/ML) cannot discover effective biomarkers from real-life, small-cohort, multi-omic, and noisy data. Methods: We use our AI/ML to identify two whole-genome biomarkers from open-source pre-treatment NBL patient-matched primary tumor and whole blood DNA copy numbers, and primary tumor mRNA expression. Our data-agnostic, unsupervised algorithms extend the mathematics that underlies quantum mechanics to overcome the limitations of typical AI/ML [1,2]. Our platform- and reference genome-agnostic biomarkers in astrocytoma, including glioblastoma, and lung, ovarian, and uterine adenocarcinomas, were mathematically discovered, and computationally and experimentally validated, repeatedly, in federated, imbalanced datasets from as few as 50–100 patients [3]. Results: We discover the biomarkers in “skinny” datasets of minimally preprocessed ≈3M-bin whole-genome sequences from tumors and blood of a set of 101 patients. Blindly, i.e., label-free, we separate both biomarkers from the normal X chromosome-number variation, demonstrating sex-agnostic learning. Combined, the biomarkers are statistically independent of all standard-of-care indicators, with the univariate Cox hazard ratio of 4.0 (log-rank P-value=2.3×10–5) within the 95% confidence intervals of the bivariate ratios. The risk that the tumor’s whole genome confers upon outcome, as is reflected by the bivariate ratios, is greater than that conferred by all standard-of-care indicators, including DNA ploidy, the Children’s Oncology Group (COG) risk, and the mitosis-karyorrhexis index (MKI), except for histopathology. We validate the biomarkers in ≈10K-bin target-capture sequences of a mutually-exclusive set of 419 patients, demonstrating generalizability as well as site-, platform-, and protocol-agnostic transfer learning. At 73–80% concordance, in both the tumor and blood profiles of both the discovery and validation sets, the biomarkers combined are more accurate than MYCN. We show that the biomarkers identify known and previously unrecognized disease mechanisms and druggable gene alterations, including co-amplification of MYCN with genes encoding for extra-embryonic transcripts, as well as the hijacking of embryonic development toward aneuploidy, which can spontaneously regress via embryonic self-correction. Conclusions: Our AI/ML is uniquely suited for personalized medicine. 1. doi: 10.1063/1.5099268 2. doi: 10.1073/pnas.0530258100 3. doi: 10.1063/1.5142559.

Serum cholesterol level as a predictive biomarker for prognosis of Neuroblastoma

BackgroundNeuroblastoma (NB), a type of solid tumor in children, has a poor prognosis. Few blood biomarkers can accurately predict the prognosis, including recurrence and survival, in children with NB. In this study, we found that the serum total cholesterol (Tchol) level was associated with the prognosis of patients through a retrospective study.MethodsMultivariate Cox regression model was used to identify the independent risk factors in the children with NB. Kaplan–Meier method was used to analyze the correlation between the common biomarkers, including the serum Tchol level, and the prognosis of the patients. ROC curves were used to predict the accuracy of the International Neuroblastoma Staging System (INSS) stage and Children’s Oncology Group (COG) risk stratification after adding the serum Tchol level.ResultsCompared with the other patients, serum Tchol level was significantly increased in the relapsed and died patients (P < 0.05). Subsequently, serum Tchol level was found as an independent risk factor to affect the outcome of patients (P < 0.05). Finally, we added serum Tchol level into traditional stage and risk classification system to form the new INSS stage and COG risk classification system. It was found that the areas under the ROC curve (AUC) of recurrence-free survival in the new INSS stage and COG risk classification system were increased to 0.691 (95%CI: 0.535–0.847) and 0.748 (95%CI: 0.622–0.874), respectively. Moreover, the AUC areas of overall survival in the new INSS stage and COG risk classification system were increased to 0.722 (95%CI: 0.561–0.883) and 0.668 (95%CI: 0.496–0.819), respectively.ConclusionWe found that serum Tchol level, a clinical biomarker, is a risk factor for recurrence and death among the children with NB. The serum Tchol level could significantly increase the accuracy of the prediction for NB prognosis.

Spontaneously Regressing Retropharyngeal Neuroblastoma – A Rare Cause of Upper Airway Obstruction in a Neonate: A Case Report with Review of Literature

Abstract Background: Retropharyngeal masses may rarely cause persistent respiratory distress, stridor, and feeding difficulties in a neonate. We report a rare case of a primary cervical neuroblastoma presenting as a retropharyngeal mass, which underwent spontaneous regression. Clinical Description: A 29-day-old male baby was referred for recurrent vomiting since day 10 of life followed by severe difficulty in breathing since day 14 of life. At admission, the baby had stridor, cyanosis with respiratory failure, without any facial dysmorphism or cardiovascular involvement. Management and Outcome: After initial stabilization, investigations showed pneumonia in chest X-ray, with no evidence of sepsis. On intubation, a retropharyngeal bulge was noticed which was later confirmed by direct laryngoscopy. Later, computed tomography delineated the soft-tissue mass extending from C2–C5. Endoscopy with marsupialization of the tumor was done, and on histopathological examination, it was diagnosed as a small round blue cell tumor, suggestive of neuroblastoma, along with positive immunohistochemistry. According to the International Neuroblastoma Staging System, the tumor belonged to Stage I. As the baby had started improving clinically, further management by a multidisciplinary team was collectively decided to continue conservative observation. On follow-up, there was spontaneous regression in size of tumor with no recurrence of symptoms till the last follow-up at 11 months. Conclusion: Neuroblastoma, the most common solid tumor malignancy in children, may rarely have a primary cervical presentation, causing breathing and feeding difficulties. Depending on the course of symptoms, a strategy of observation and close monitoring by a multidisciplinary team can be taken, as such tumors may regress spontaneously.

Neuroblastoma estágio 4S e hepatomegalia maciça: relato de caso

Objective: To report a case of stage 4S neuroblastoma and massive hepatomegaly that worsened the disease prognosis. Case Description: A 3-month-old male infant presented with 7 days of worsening abdominal distension, significant sweating, incessant crying, and irritability. His abdomen was globular and exhibited massive hepatomegaly. Imaging examinations detected multiple nodules in the liver parenchyma and a hypoechoic nodule in the right adrenal gland. The lesions were biopsied, with findings revealing infiltrative neuroblastoma in the liver tissue. The patient was diagnosed with International Neuroblastoma Staging System stage 4S, and treatment was started according to the International Society of Paediatric Oncology - Paediatric Oncology in Developing Countries protocol. During the first chemotherapy cycle, his condition required prolonged mechanical ventilation and hemodialysis. It was then decided to switch to the POG 9341-Modified regimen in an emergency mode. A significant clinical improvement response was observed after the third chemotherapy cycle. Subsequent cycles were administered based on the initial proposed protocol. Complete remission was achieved after the eighth cycle. Comment: Stage 4S neuroblastoma usually has a good prognosis; however, when associated with massive hepatomegaly, the prognosis becomes unfavorable. Complications during the first chemotherapy cycle required a change in management to the POG 9341-Modified regimen, which resulted in a reduction in the number and size of hepatic and adrenal nodules. Owing to significant clinical improvement, the remaining cycles were performed using the initial protocol. Despite the uncommon association and the lack of consensus for a specific treatment, complete remission was achieved by combining therapeutic regimens.

Histone Methyltransferases G9a/Ehmt2 and GLP/Ehmt1 Are Associated with Cell Viability and Poorer Prognosis in Neuroblastoma and Ewing Sarcoma.

Changes in epigenetic programming have been proposed as being key events in the initiation and progression of childhood cancers. HMT euchromatic histone lysine methyltransferase 2 (G9a, EHMT2), which is encoded by the G9a (Ehmt2) gene, as well as its related protein GLP, which is encoded by the GLP/Ehmt1 gene, participate in epigenetic regulation by contributing to a transcriptionally repressed chromatin state. G9a/GLP activation has been reported in several cancer types. Herein, we evaluated the role of G9a in two solid pediatric tumors: neuroblastoma (NB) and Ewing sarcoma (ES). Our results show that G9a/Ehmt2 and GLP/Ehmt1 expression is higher in tumors with poorer prognosis, including St4 International Neuroblastoma Staging System (INSS) stage, MYCN amplified NB, and metastatic ES. Importantly, higher G9a and GLP levels were associated with shorter patient overall survival (OS) in both NB and ES. Moreover, pharmacological inhibition of G9a/GLP reduced cell viability in NB and ES cells. These findings suggest that G9a and GLP are associated with more aggressive NB and ES tumors and should be further investigated as being epigenetic targets in pediatric solid cancers.

Musashi-2 (MSI2) promotes neuroblastoma tumorigenesis through targeting MYC-mediated glucose-6-phosphate dehydrogenase (G6PD) transcriptional activation.

Neuroblastoma (NB) is the deadliest pediatric solid tumor due to its rapid proliferation. Aberrant expression of MYCN is deemed as the most remarkable feature for the predictive hallmark of NB progression and recurrence. However, the phenomenon that only detection of MYCN in the nearly 20% of NB patients hints that there should be other vital oncogenes in the progression of NB. Here, we firstly show that MSI2 mRNA is augmented by analyzing public GEO datasets in the malignant stage according to International Neuroblastoma Staging System (INSS) stages. Although accumulating evidences uncover the emerging roles of MSI2 in several cancers, the regulatory functions and underlying mechanisms of MSI2 in NB remain under-investigated. Herein, we identified that high-expressed MSI2 and low-expressed n-Myc group account for 43.1% of total NB clinical samples (n = 65). Meanwhile, MSI2 expression is profoundly upregulated along with NB malignancy and negatively associated with the survival outcome of NB patients in the NB tissue microarray (NB: n = 65; Ganglioneuroblastoma: n = 31; Ganglioneuroma: n = 27). In vitro, our results revealed that MSI2 promoted migration, invasion, and proliferation of NB cells via enhancing pentose phosphate pathway. Mechanistically, MSI2 upregulated the key enzyme glucose-6-phosphate dehydrogenase (G6PD) via directly binding to 3'-untranslated regions of c-Myc mRNA to facilitate its stability, resulting in enhancing pentose phosphate pathway. Our findings reveal that MSI2 promotes pentose phosphate pathway via activating c-Myc-G6PD signaling, suggesting that MSI2 exhibits a novel and powerful target for the diagnosis and treatment of NB.

Impact of BCL-2 Expression on Course of Disease in Neuroblastoma.

The antiapoptotic BCL-2 protein has implications for maturation and differentiation of neural tissue and acts as a strong modulator of carcinogenesis in different tumors. Recent research focuses not only on its benefit as a prognostic factor, but also as a potential therapeutic target. The role of BCL-2 in neuroblastoma, the most common extracranial solid tumor in childhood, remains controversial. The aim of our study was to determine the gene expression level of BCL-2 in a large cohort of neuroblastoma patients and its correlation with clinical parameters. Tumor samples and clinical data were collected from 100 neuroblastoma patients treated according to the NB2004 protocol of the German Society of Pediatric Oncology and Hematology. BCL-2 gene expression levels were measured by quantitative reverse transcription polymerase chain reaction and correlated with clinical parameters. BCL-2 expression was detected in all tumor samples. Relative BCL-2 expression levels were higher in females versus males (1.839 vs. 1.342; p = 0.0143), in patients with low versus high International Neuroblastoma Staging System stage (2.051 vs. 1.463; p = 0.0206), in nonmetastatic versus metastatic disease (1.801 vs. 1.342; p = 0.0242), as well as in patients without presurgical chemotherapy (2.145 vs. 1.402; p = 0.0016), but was not associated with overall survival and MYCN amplification. Our study demonstrates the ubiquitous expression of BCL-2 in neuroblastoma and suggests the possibility for targeted therapy with BCL-2 inhibitors, even in lower-stage neuroblastoma. It also underlines the need for further research on concomitant genetic alterations for a better understanding of the impact of BCL-2 on this pediatric tumor type.

A novel clinical tool and risk stratification system for predicting the event-free survival of neuroblastoma patients: A TARGET-based study.

Neuroblastoma (NB), considered the most common non-intracranial solid tumor in children, accounts for nearly 8% of pediatric malignancies. This study aimed to develop a simple and practical nomogram to predict event-free survival (EFS) in NB patients and establish a new risk stratification system. In this study, 763 patients primarily diagnosed with NB in the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) database were included and randomly assigned to a training set (70%) and a validation set (30%) in a 7:3 ratio. First, the independent prognostic factors of EFS for NB patients were identified through univariate and multivariate Cox regression analyses. Second, a nomogram was created based on these factors and was validated for calibration capability, discriminative, and clinical significance by C-curves, receiver operating characteristic (ROC) curves, and decision curve analysis. Finally, a new risk stratification system was established for NB patients based on the nomogram. The univariate Cox analysis demonstrated that NB patients with age at diagnosis >318 days, International Neuroblastoma Staging System (INSS) stage 4, DNA diploidy, MYCN amplification status, and children oncology group (COG) high-risk group had a relatively poor prognosis. However, according to the multivariate Cox regression analysis, only age, INSS stage, and DNA ploidy were independent predictive factors in NB patients regarding EFS, and a nomogram was created based on these factors. The area under the curve (AUC) values of the ROC curves for the 3-, 5-, and 10-year EFS of this nomogram were 0.681, 0.706, and 0.720, respectively. Additionally, the AUC values of individual independent prognostic factors of EFS were lower than those of the nomogram, suggesting that the developed nomogram had a higher predictive reliability for prognosis. In addition, a new risk stratification system was developed to better stratify NB patients and provide clinical practitioners with a better reference for clinical decision-making. NB patients' EFS could be predicted more accurately and easily through the constructed nomogram and event-occurrence risk stratification system, allowing clinicians to better differentiate NB patients and establish individualized treatment plans to maximize patient benefits.

Integration of clinical characteristics and molecular signatures of the tumor microenvironment to predict the prognosis of neuroblastoma.

This study aimed to analyze the clinical characteristics, cell types, and molecular characteristics of the tumor microenvironment to better predict the prognosis of neuroblastoma (NB).The gene expression data and corresponding clinical information of 498 NB patients were obtained from the Gene Expression Omnibus (GEO: GSE62564) and ArrayExpress (accession: E-MTAB-8248). The relative cell abundances were estimated using single-sample gene set enrichment analysis (ssGSEA) with the R gene set variation analysis (GSVA) package. We performed Cox regression analyses to identify marker genes indicating cell subsets and combined these with prognostically relevant clinical factors to develop a new prognostic model. Data from the E-MTAB-8248 cohort verified the predictive accuracy of the prognostic model. Single-cell RNA-seq data were analyzed by using the R Seurat package.Multivariate survival analysis for each gene, using clinical characteristics as cofactors, identified 34 prognostic genes that showed a significant correlation with both event-free survival (EFS) and overall survival (OS) (log-rank test, P value < 0.05). The pathway enrichment analysis revealed that these prognostic genes were highly enriched in the marker genes of NB cells with mesenchymal features and protein translation. Ultimately, USP39, RPL8, IL1RAPL1, MAST4, CSRP2, ATP5E, International Neuroblastoma Staging System (INSS) stage, age, and MYCN status were selected to build an optimized Cox model for NB risk stratification. These samples were divided into two groups using the median of the risk score as a cutoff. The prognosis of samples in the poor prognosis group (PP) was significantly worse than that of samples in the good prognosis group (GP) (log-rank test, P value < 0.0001, median EFS: 640.5 vs. 2247days, median OS: 1279.5 vs. 2519days). The risk model was also regarded as a prognostic indicator independent of MYCN status, age, and stage. Finally, through scRNA-seq data, we found that as an important prognostic marker, USP39 might participate in the regulation of RNA splicing in NB.Our study established a multivariate Cox model based on gene signatures and clinical characteristics to better predict the prognosis of NB and revealed that mesenchymal signature genes of NB cells, especially USP39, were more abundant in patients with a poor prognosis than in those with a good prognosis. KEY MESSAGES: Our study established a multivariate Cox model based on gene signatures and clinical characteristics to better predict the prognosis of NB and revealed that mesenchymal signature genes of NB cells, especially USP39, were more abundant in patients with a poor prognosis than in those with a good prognosis. USP39, RPL8, IL1RAPL1, MAST4, CSRP2, ATP5E, International Neuroblastoma Staging System (INSS) stage, age, and MYCN status were selected to build an optimized Cox model for NB risk stratification. These samples were divided into two groups using the median of the risk score as a cutoff. The prognosis of samples in the poor prognosis group (PP) was significantly worse than that of samples in the good prognosis group (GP). Finally, through scRNA-seq data, we found that as an important prognostic marker, USP39 might participate in the regulation of RNA splicing in NB.

Development and validation of a nomogram for predicting survival in intermediate- and high-risk neuroblastoma of the Children's Oncology Group risk stratification.

To develop and validate a nomogram for predicting survival in intermediate- and high-risk neuroblastoma patients and to compare the accuracy of the nomogram in predicting survival with Children's Oncology Group (COG) risk stratification. A total of 885 intermediate- and high-risk neuroblastoma patients were enrolled in this study, including 243 patients from our hospital (the training set) and 642 patients from the TARGET database (the validation set). The factors related to event-free survival (EFS) and overall survival (OS) in neuroblastoma were determined to construct the nomogram by Cox regression analysis. The C-index, calibration curves, and area under the time-dependent receiver operating characteristic curves (AUCs) were used to assess the predictive performance of the nomogram. International Neuroblastoma Staging System stage and Mitosis-karyorrhexis index (MKI) were significant unfavorable factors for EFS, while MKI and MYCN status were significant unfavorable factors for OS. The C-index of the nomogram was 0.621 and 0.586 for predicting EFS, 0.650 and 0.570 for predicting OS in the training and validation sets, respectively. The calibration curves revealed good agreement in the EFS and OS predicted by the nomogram. The AUCs of the nomogram for 1-, 2-, 3-year EFS and OS were 0.633, 0.669, 0.604 and 0.672, 0.670, 0.702 in the training set, respectively. Moreover, the nomogram was able to classify patients into two groups according to risk scores, with the "high-risk" group having a lower survival rate than the "intermediate-risk" group. And the nomogram performed better than the COG risk stratification, which had a C-index of 0.537, 0.502 and 0.565, 0.572 for predicting EFS, OS in the training and validation sets, respectively. We developed and validated a prognostic nomogram for intermediate- and high-risk neuroblastoma patients that clinicians can use to make more informed decisions for individual patients.

Prognosis, Survival and Management of Pediatric Patients With Neuroblastoma: A 12-Year Experience From a Single Center Study

In this cross-sectional study, we aimed to evaluate epidemiologic data, survival, and prognosis of pediatric patients diagnosed with neuroblastoma who were referred to Mahak Pediatric Cancer Treatment and Research Center (MPCTRC). One-hundred thirty-seven children younger than 15 years with neuroblastoma from April 2008 to March 2020 were included in this study. Data were retrospectively extracted from their documents, and follow-up was done for alive individuals. Collected data were analyzed using SPSS software version 25 for parametric and non-parametric variables. Of all patients, 51.82% (n=71) were male (M/F ratio was 1.07:1) with a mean age of 2.48±0.26 years. According to the International Neuroblastoma Staging System (INSS), more than 70% of patients were diagnosed with stages 3, 4, and 4S. Primary tumors were located mostly in the adrenal glands (42.34%) and abdomen (29.20%), respectively. Additionally, 62% of children experienced metastasis, with the most common site being bone marrow. Moreover, patients' overall survival, progression-free survival, and event-free survival were 55.2%±5.6, 41.0%±7.9, and 30.0%±5.1, respectively. Early diagnosis and effective treatment of neuroblastoma can directly influence patients' survival, and those who are diagnosed with neuroblastoma within one month of its symptoms onset are more likely to have higher survival rates.

Image-defined risk factors in localized thoracic neuroblastoma and ganglioneuroma.

The pretreatment International Neuroblastoma Risk Group Staging System (INRGSS) discriminates localized tumors L1/L2 depending on the absence/presence of image-defined risk factors (IDRFs) at diagnosis. Referring to this new staging system, we assessed initial imaging of localized thoracic neuroblastoma (NB) and ganglioneuroma (GN) and the extent of initial tumor resection. Patients with localized thoracic NB/GN from the German clinical trials NB97 and NB2004 were included. Imaging at diagnosis and operative reports were reviewed retrospectively. IDRFs were assessed centrally and correlated to International Neuroblastoma Staging System (INSS) stage and extent of tumor resection. Additionally, we analyzed data on surgery-related complications. Imaging series of 88 patients were available for central review. In 18 children, no IDRF was present, 28 exhibited one IDRF, 42 two or more IDRFs, resulting in 70 patients with L2 disease. The most frequently observed IDRF was encasement of any vessel (n=38). Initial surgical resection was aimed for in 45 patients (L1: n=11; L2: n=34). Complete and gross total resection rates were higher children with L2 NB (n=8/25 L1, n=17/25 L2 vs. n=2/15 L1, n=13/15 L2, respectively). The proportion of surgical complications was very similar between INRGSS L1 and L2 (n=4/11 vs. n=17/34). All complications were manageable, and no surgery-related deaths were observed. In this retrospective cohort, the extent of resection and the rate of surgical complications did not differ substantially between patients classified as L1/L2, indicating that INRGSS L2 does not equate unresectability. It appeared that individual IDRFs differ in value. Larger studies are needed to assess the significance and therapeutic/prognostic impact of such findings.

Integrative analysis of multi-omics data for discovery of ferroptosis-related gene signature predicting immune activity in neuroblastoma.

Immunotherapy for neuroblastoma remains unsatisfactory due to heterogeneity and weak immunogenicity. Exploring powerful signatures for the evaluation of immunotherapy outcomes remain the primary purpose. We constructed a ferroptosis-related gene (FRG) signature by least absolute shrinkage and selection operator and Cox regression, identified 10 independent prognostic FRGs in a training cohort (GSE62564), and then verified them in an external validation cohort (TCGA). Associated with clinical factors, the signature accurately predicts overall survival of 3, 5, and 10years. An independent prognostic nomogram, which included FRG risk, age, stage of the International Neuroblastoma Staging System, and an MYCN status, was constructed. The area under the curves showed satisfactory prognostic predicting performance. Through bulk RNA-seq and proteomics data, we revealed the relationship between hub genes and the key onco-promoter MYCN gene and then validated the results in MYCN-amplified and MYCN-non-amplified cell lines with qRT-PCR. The FRG signature significantly divided patients into high- and low-risk groups, and the differentially expressed genes between the two groups were enriched in immune actions, autophagy, and carcinogenesis behaviors. The low-risk group embodied higher positive immune component infiltration and a higher expression of immune checkpoints with a more favorable immune cytolytic activity (CYT). We verified the predictive power of this signature with data from melanoma patients undergoing immunotherapy, and the predictive power was satisfactory. Gene mutations were closely related to the signature and prognosis. AURKA and PRKAA2 were revealed to be nodal hub FRGs in the signature, and both were shown to have significantly different expressions between the INSS stage IV and other stages after immunohistochemical validation. With single-cell RNA-seq analysis, we found that genes related to T cells were enriched in TNFA signaling and interferon-γ hallmark. In conclusion, we constructed a ferroptosis-related gene signature that can predict the outcomes and work in evaluating the effects of immunotherapy.

Effectiveness of autologous hematopoietic stem cell transplantation in the treatment of high-risk neuroblastoma in children: a single-center clinical study

To investigate the effectiveness of high-dose chemotherapy combined with autologous hematopoietic stem cell transplantation (ASCT) in the treatment of children with high-risk neuroblastoma (NB). A retrospective analysis was performed on 29 children with high-risk NB who were admitted to Shanghai Children's Hospital and were treated with high-dose chemotherapy combined with ASCT from January 2013 to December 2021, and their clinical features and prognosis were analyzed. Among the 29 children treated by high-dose chemotherapy combined with ASCT, there were 18 boys (62%) and 11 girls (38%), with a median age of onset of 36 (27, 59) months. According to the International Neuroblastoma Staging System, 6 children (21%) had stage III NB and 23 children (79%) had stage IV NB, and the common metastatic sites at initial diagnosis were bone in 22 children (76%), bone marrow in 21 children (72%), and intracalvarium in 4 children (14%). All 29 children achieved reconstruction of hematopoietic function after ASCT. After being followed up for a median time of 25 (17, 45) months, 21 children (72%) had continuous complete remission and 8 (28%) experienced recurrence. The 3-year overall survival rate and event-free survival rate were 68.9%±16.1% and 61.4%±14.4%, respectively. Presence of bone marrow metastasis, neuron-specific enolase ≥370 ng/mL and positive bone marrow immunophenotyping might reduce the 3-year event-free survival rate (P<0.05). Children with high-risk NB who have bone marrow metastasis at initial diagnosis tend to have a poor prognosis. ASCT combined with high-dose chemotherapy can effectively improve the prognosis of children with NB with a favorable safety profile.

Survival of Patients With Neuroblastoma After Assignment to Reduced Therapy Because of the 12- to 18-Month Change in Age Cutoff in Children's Oncology Group Risk Stratification.

In 2006, Children's Oncology Group (COG) reclassified subgroups of toddlers diagnosed with neuroblastoma from high-risk to intermediate-risk, when the age cutoff for high-risk assignment was raised from 365 days (12 months) to 547 days (18 months). The primary aim of this retrospective study was to determine if excellent outcome was maintained after assigned reduction of therapy. Children <3 years old at diagnosis, enrolled on a COG biology study from 1990 to 2018, were eligible (n = 9,189). Assigned therapy was reduced for two cohorts of interest on the basis of the age cutoff change: 365-546 days old with International Neuroblastoma Staging System (INSS) stage 4, MYCN not amplified (MYCN-NA), favorable International Neuroblastoma Pathology Classification (INPC), hyperdiploid tumors (12-18mo/Stage4/FavBiology), and 365-546 days old with INSS stage 3, MYCN-NA, and unfavorable INPC tumors (12-18mo/Stage3/MYCN-NA/Unfav). Log-rank tests compared event-free survival (EFS) and overall survival (OS) curves. For 12-18mo/Stage4/FavBiology, 5-year EFS/OS (± SE) before (≤2006; n = 40) versus after (>2006; n = 55) assigned reduction in therapy was similar: 89% ± 5.1%/89% ± 5.1% versus 87% ± 4.6%/94% ± 3.2% (P = .7; P = .4, respectively). For 12-18mo/Stage3/MYCN-NA/Unfav, the 5-year EFS and OS were both 100%, before (n = 6) and after (n = 4) 2006. The 12-18mo/Stage4/FavBiology plus 12-18mo/Stage3/MYCN-NA/Unfav classified as high-risk ≤2006 had an EFS/OS of 91% ± 4.4%/91% ± 4.5% versus 38% ± 1.3%/43% ± 1.3% for all other high-risk patients <3 years old (P < .0001; P < .0001, respectively). The 12-18mo/Stage4/FavBiology plus 12-18mo/Stage3/MYCN-NA/Unfav classified as intermediate-risk >2006 had an EFS/OS of 88% ± 4.3%/95% ± 2.9% versus 88% ± 0.9%/95% ± 0.6% for all other intermediate-risk patients <3 years old (P = .87; P = .85, respectively). Excellent outcome was maintained among subsets of toddlers with neuroblastoma assigned to reduced treatment after reclassification of risk group from high to intermediate on the basis of new age cutoffs. Importantly, as documented in prior trials, intermediate-risk therapy is not associated with the degree of acute toxicity and late effects commonly observed with high-risk regimens.

Survival effect of complete surgical resection of the primary tumor in patients with metastatic, high-risk neuroblastoma in a large Canadian cohort.

To determine whether extent of surgical resection of the primary tumor correlates with survival in patients with International Neuroblastoma Staging System (INSS) stage 4, high-risk neuroblastoma. Data were extracted for patients with newly diagnosed INSS stage 4, high-risk neuroblastoma between 2001 and 2019 from the national Cancer in Young People in Canada (CYPC) database. Complete resection was defined as gross total resection of primary tumor based on operative reports. Primary endpoints were 3 and 5-year event-free (EFS) and overall survival (OS). Survival analyses were completed using log-rank test and Cox proportional hazards regression including covariates of age, sex, decade of treatment (2001-2009vs. 2010-2019), immunotherapy, and tandem stem cell transplant (SCT). One-hundred and forty patients with complete surgical data were included. On univariate analysis, 3-year EFS and OS for patients that had complete versus incomplete resection was 71% (95% CI 57-80%) vs. 48% (36-60%) and 86% (75-93%) vs. 64% (51-74%), p=.008 and p=.002, respectively. 5-year EFS and OS for patients with complete resection also demonstrated significantly improved survival. On Cox Proportional Hazards models adjusted for age, immunotherapy, tandem SCT, and surgical resection, only complete resection was associated with statistically significant improved 3year EFS and OS, HR=0.48 (0.29-0.81; p=.006) and HR=0.42 (0.24-0.73; p=.002). In a large Canadian INSS stage 4 high-risk neuroblastoma cohort, complete surgical resection was associated with increased EFS and OS. Within the constraints of a retrospective study, these results suggest that the ability to achieve primary tumor complete resection in patients with metastatic high-risk disease is associated with improved survival.

Tumor dormancy is closely related to prognosis prediction and tumor immunity in neuroblastoma.

Neuroblastoma (NB), which is the most frequent and fatal solid tumor in early childhood, lacks an accurate approach to prevent or forecast its recurrence. Dormant NB cells are responsible for metastasis, drug resistance, and suppressive activity in the immune system. However, there is a lack of systematic research on the interaction between dormancy and NB prognosis and its potential associations with tumor immunity. We downloaded NB gene expression data and clinical information from the Gene Expression Omnibus and ArrayExpres databases. Based on consensus clustering of the expression of dormancy-associated genes, the NB samples were classified into different groups, and differentially expressed genes (DEGs) were explored in each group. Functional analyses of DEGs were performed, followed by the establishment of a predictive dormancy signature and the assessment of tumor immunity. Finally, sex, age, International Neuroblastoma Staging System (INSS) stage, and MYCN status were identified as independent overall survival-related variables, which were incorporated into the nomogram. A dormancy-associated gene signature, including CDKN2A, BHLHB3, CDKN2B, MAPK14, CDKN1B, and BMP7, was established. The gene signature showed a strong correlation with NB immune infiltration and capacity to predict NB patient prognosis. A nomogram including MYCN status, INSS stage, age and gene signature risk score was established which further divided NB into high, medium and low-risk groups. This nomogram had certain guiding significance in decision-making for clinical treatment. Our results suggested that the 6-gene genetic signature for NB based on dormancy could predict NB survival and response to immunotherapy.