Prognosis Of Neuroblastoma Research Articles

Abstract 4517: Novel prognostic and predictive biomarker for neuroblastoma

Abstract Recently we showed that Retinal degeneration protein 3 (RD3) is constitutively expressed in healthy adult and fetal tissues beyond retina and, its gradient expression from high to low in ganglioneuroma, ganglioneuroblastoma and neuroblastoma (NB). Crucially, our sequential in vitro and in vivo studies identified that RD3 regulates NB progression and metastasis, and its loss prompts the evolution of therapy defying progressive disease (PD). Here we investigated the prognostic significance of RD3 in NB, its predictive benefit and, its association to clinical outcomes. RNA-Seq data mining (4 independent study cohorts, total n = 1013) indicated that high RD3 can predict good NB prognosis. RD3 expression (immunohistochemistry) gauged in our NB patient cohort (n = 100) showed a positive correlation with longer overall survival (OS, P = 1.0E-04) and relapse-free survival (RFS, P = 2.1E-02). Similarly, high RD3 correlated with longer OS (P = 1.2E-03) and RFS (P = 2.1-02) in children presented with high-risk NB (HR-NB), irrespective of MYCN amplification status (MYCN amplified, P = 1.4E-02; non-amplified, P = 5.5E-03) and patient age (<2Y age, P = 2.8E-02; >2Y age, P = 1.0E-04) groups. Significantly, we observed a gradient loss of RD3 with NB progression, from stage 1 through stage 4 disease. Consistently, RD3 loss was substantial in metastatic disease when compared to the primary neuroblastomas, and this loss associated with poor OS in patients presented with metastatic disease (P = 4.0E-02). More importantly, RD3 is significantly lost in therapy resistant progressive NB and corroborated significantly (P = 9.5E-03) with the poor progression free survival. Multivariate analysis identified RD3 as an independent (P = 4.4E-02) prognostic factor for NB. These results demonstrate that RD3-loss can forecast poor prognosis in NB, and further imply that assessing RD3 loss could serve as the good predictor for therapy response and/or PD evolution. Together, these data identify a novel prognostic and predictive factor for neuroblastoma. Funding: This work was partially or in full, funded by Oklahoma Center for the Advancement of Science and Technology, OCAST-HR19-045; National Institutes of Health, NIH-P20GM103639 and Department of Defense DoD-CA210339 Citation Format: Dinesh Babu Somasundaram, Zhongxin Yu, Ashley Baker, Natarajan Aravindan. Novel prognostic and predictive biomarker for neuroblastoma. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4517.

Construction of a novel anoikis-related prognostic model and analysis of its correlation with infiltration of immune cells in neuroblastoma.

Anoikis resistance (AR) plays an important role in the process of metastasis, which is an important factor affecting the risk stage of neuroblastoma (NB). This study aims to construct an anoikis-related prognostic model and analyze the characteristics of hub genes, important pathways and tumor microenvironment of anoikis-related subtypes of NB, so as to provide help for the clinical diagnosis, treatment and research of NB. We combined transcriptome data of GSE49710 and E-MTAB-8248, screened anoikis-related genes (Args) closely related to the prognosis of NB by univariate cox regression analysis, and divided the samples into anoikis-related subtypes by consistent cluster analysis. WGCNA was used to screen hub genes, GSVA and GSEA were used to analyze the differentially enriched pathways between anoikis-related subtypes. We analyzed the infiltration levels of immune cells between different groups by SsGSEA and CIBERSORT. Lasso and multivariate regression analyses were used to construct a prognostic model. Finally, we analyzed drug sensitivity through the GDSC database. 721 cases and 283 Args were included in this study. All samples were grouped into two subtypes with different prognoses. The analyses of WGCNA, GSVA and GSEA suggested the existence of differentially expressed hub genes and important pathways in the two subtypes. We further constructed an anoikis-related prognostic model, in which 15 Args participated. This model had more advantages in evaluating the prognoses of NB than other commonly used clinical indicators. The infiltration levels of 9 immune cells were significantly different between different risk groups, and 13 Args involved in the model construction were correlated with the infiltration levels of immune cells. There was a relationship between the infiltration levels of 6 immune cells and riskscores. Finally, we screened 15 drugs with more obvious effects on NB in high-risk group. There are two anoikis-related subtypes with different prognoses in the population of NB. The anoikis-related prognostic model constructed in this study can accurately predict the prognoses of children with NB, and has a good guiding significance for clinical diagnosis, treatment and research of NB.

MYCN Amplification, along with Wild-Type RB1 Expression, Enhances CDK4/6 Inhibitors' Efficacy in Neuroblastoma Cells.

Neuroblastoma (NB) is one of the primary causes of death for pediatric malignancies. Given the high heterogeneity in NB's mutation landscape, optimizing individualized therapies is still challenging. In the context of genomic alterations, MYCN amplification is the most correlated event with poor outcomes. MYCN is involved in the regulation of several cellular mechanisms, including cell cycle. Thus, studying the influence of MYCN overexpression in the G1/S transition checkpoint of the cell cycle may unveil novel druggable targets for the development of personalized therapeutical approaches. Here, we show that high expression of E2F3 and MYCN correlate with poor prognosis in NB despite the RB1 mRNA levels. Moreover, we demonstrate through luciferase reporter assays that MYCN bypasses RB function by incrementing E2F3-responsive promoter activity. We showed that MYCN overexpression leads to RB inactivation by inducing RB hyperphosphorylation during the G1 phase through cell cycle synchronization experiments. Moreover, we generated two MYCN-amplified NB cell lines conditionally knockdown (cKD) for the RB1 gene through a CRISPRi approach. Indeed, RB KD did not affect cell proliferation, whereas cell proliferation was strongly influenced when a non-phosphorylatable RB mutant was expressed. This finding revealed the dispensable role of RB in regulating MYCN-amplified NB's cell cycle. The described genetic interaction between MYCN and RB1 provides the rationale for using cyclin/CDK complexes inhibitors in NBs carrying MYCN amplification and relatively high levels of RB1 expression.

Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma

Neuroblastoma is a childhood neurological tumor which affects hundreds of thousands of children worldwide, and information about its prognosis can be pivotal for patients, their families, and clinicians. One of the main goals in the related bioinformatics analyses is to provide stable genetic signatures able to include genes whose expression levels can be effective to predict the prognosis of the patients. In this study, we collected the prognostic signatures for neuroblastoma published in the biomedical literature, and noticed that the most frequent genes present among them were three: AHCY, DPYLS3, and NME1. We therefore investigated the prognostic power of these three genes by performing a survival analysis and a binary classification on multiple gene expression datasets of different groups of patients diagnosed with neuroblastoma. Finally, we discussed the main studies in the literature associating these three genes with neuroblastoma. Our results, in each of these three steps of validation, confirm the prognostic capability of AHCY, DPYLS3, and NME1, and highlight their key role in neuroblastoma prognosis. Our results can have an impact on neuroblastoma genetics research: biologists and medical researchers can pay more attention to the regulation and expression of these three genes in patients having neuroblastoma, and therefore can develop better cures and treatments which can save patients’ lives.

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.

Identification of a novel eighteen-gene signature of recurrent metastasis neuroblastoma.

Neuroblastoma is the most common malignant tumor in childhood, and metastases occur in more than 30% patients. Recurrent metastasis is the main cause of poor prognosis and high mortality in neuroblastoma. In this regard, there is still a lack of sufficient biomarkers and effective therapies. Therefore, we performed a multi-omics analysis of neuroblastoma patients from Therapeutically Applicable Research To Generate Effective Treatments (TARGET). With clinical relapse site information, tumor samples derived from the primary site were divided into recurrent metastasis and primary tumor groups. The initial gene signature was obtained by comparing RNA-Seq and copy number variation differences. Survival data was used to further filter prognosis-related genes. This 18-gene signature consists of three clusters: tumor suppression, cell proliferation, and immunity. A super enhancer is involved in the enhanced expression of NCAPG in cluster2 together with IRF3. Based on the gene signature expression in primary neuroblastoma, it is possible to predict tumor metastasis before it occurs. According to the anticancer drug dataset of Genomics of Drug Sensitivity in Cancer (GDSC), vinorelbine and docetaxel were predicted to have high sensitivity against recurrent metastatic neuroblastoma. In conclusion, our study offers a novel metastasis biomarker and helps understand the mechanisms of tumor recurrent metastasis. KEY MESSAGES: We identified a novel eighteen-gene signature of recurrent metastasis neuroblastoma and build risk and classification models. We dissected the regulatory role of NCAPG in signatures. We found immune exhaustion and immunosuppression in recurrent metastasis neuroblastoma. Vinorelbine and docetaxel were predicted to have high sensitivity against recurrent metastatic neuroblastoma.

TRAF4 Silencing Induces Cell Apoptosis and Improves Retinoic Acid Sensitivity in Human Neuroblastoma.

Neuroblastoma (NB) is a pediatric malignancy that arises in the peripheral nervous system, and the prognosis in the high-risk group remains dismal, despite the breakthroughs in multidisciplinary treatments. The oral treatment with 13-cis-retinoic acid (RA) after high-dose chemotherapy and stem cell transplant has been proven to reduce the incidence of tumor relapse in children with high-risk neuroblastoma. However, many patients still have tumors relapsed following retinoid therapy, highlighting the need for the identification of resistant factors and the development of more effective treatments. Herein, we sought to investigate the potential oncogenic roles of the tumor necrosis factor (TNF) receptor-associated factor (TRAF) family in neuroblastoma and explore the correlation between TRAFs and retinoic acid sensitivity. We discovered that all TRAFs were efficiently expressed in neuroblastoma, but TRAF4, in particular, was found to be strongly expressed. The high expression of TRAF4 was associated with a poor prognosis in human neuroblastoma. The inhibition of TRAF4, rather than other TRAFs, improved retinoic acid sensitivity in two human neuroblastoma cell lines, SH-SY5Y and SK-N-AS cells. Further in vitro studies indicated that TRAF4 suppression induced retinoic acid-induced cell apoptosis in neuroblastoma cells, probably by upregulating the expression of Caspase 9 and AP1 while downregulating Bcl-2, Survivin, and IRF-1. Notably, the improved anti-tumor effects from the combination of TRAF4 knockdown and retinoic acid were confirmed in vivo using the SK-N-AS human neuroblastoma xenograft model. In conclusion, the highly expressed TRAF4 might be implicated in developing resistance to retinoic acid treatment in neuroblastoma, and the combination therapy with retinoic acid and TRAF4 inhibition may offer significant therapeutic advantages in the treatment of relapsed neuroblastoma.

More Abundant Superoxide Dismutase2 Protein Levels in Blood May Act as a Prognostic Marker for High-Risk Neuroblastoma Patients

Purpose: Determination of proteomic differences plays an important role in biomarker investigations. Due to its heterogenic molecular background, identification of certain biomarkers is still a demand both for diagnosis and for prognosis of neuroblastoma. In this study, it is aimed to identify some marker proteins/mechanisms that may play role in neuroblastoma prognosis. 
 Methods: A proteomic approach was performed for different risk groups of the disease by using matrix-assisted laser desorption ionization–time of flight (MALDI-TOF/TOF) approach. Mononuclear cell pools from blood samples of patients for risk groups were constructed and protein expression changes for different groups were identified. Real-time PCR analysis were performed for N-MYC, 11q, 1p and 17q status of these patients and risk groups were determined from tumor samples.
 Results: Manganese-superoxide dismutase (SOD2) protein was significantly increased in high-risk group of neuroblastoma patients. 
 Conclusion: SOD2 may play an important role in neuroblastoma progression and be a candidate prognostic peripheral blood marker for neuroblastoma patients.

P300 Interacted With N-Myc and Regulated Its Protein Stability via Altering Its Post-Translational Modifications in Neuroblastoma

MYCN amplification is an independent risk factor for poor prognosis in neuroblastoma (NB), but its protein product cannot be directly targeted because of protein structure. Thus, this study aimed to explore novel ways to indirectly target N-Myc by regulating its post-translational modifications (PTMs) and therefore protein stability. N-Myc coimmunoprecipitation combined with HPLC–MS/MS identified 16 PTM residues and 114 potential N-Myc-interacting proteins. Notably, both acetylation and ubiquitination were identified on lysine 199 of N-Myc. We then discovered that p300, which can interact with N-Myc, modulated the protein stability of N-Myc in MYCN-amplified NB cell lines and simultaneously regulated the acetylation level and ubiquitination level on lysine-199 of N-Myc protein in vitro. Furthermore, p300 correlated with poor prognosis in NB patients. Taken together, p300 can be considered as a potential therapeutic target to treat MYCN-amplified NB patients, and other identified PTMs and interacting proteins also provide potential targets for further study.

A Review of the Regulatory Mechanisms of N-Myc on Cell Cycle.

Neuroblastoma has obvious heterogeneity. It is one of the few undifferentiated malignant tumors that can spontaneously degenerate into completely benign tumors. However, for its high-risk type, even with various intensive treatment options, the prognosis is still unsatisfactory. At the same time, a large number of research data show that the abnormal amplification and high-level expression of the MYCN gene are positively correlated with the malignant progression, poor prognosis, and mortality of neuroblastoma. In this context, this article explores the role of the N-Myc, MYCN gene expression product on its target genes related to the cell cycle and reveals its regulatory network in promoting tumor proliferation and malignant progression. We hope it can provide ideas and direction for the research and development of drugs targeting N-Myc and its downstream target genes.

14-3-3 and Smad2/3 are crucial mediators of atypical-PKCs: Implications for neuroblastoma progression.

Neuroblastoma (NB) is a cancer that develops in the neuroblasts. It is the most common cancer in children under the age of 1 year, accounting for approximately 6% of all cancers. The prognosis of NB is linked to both age and degree of cell differentiation. This results in a range of survival rates for patients, with outcomes ranging from recurrence and mortality to high survival rates and tumor regression. Our previous work indicated that PKC-ι promotes cell proliferation in NB cells through the PKC-ι/Cdk7/Cdk2 cascade. We report on two atypical protein kinase inhibitors as potential therapeutic candidates against BE(2)-C and BE(2)-M17 cells: a PKC-ι-specific 5-amino-1-2,3-dihydroxy-4-(methylcyclopentyl)-1H-imidazole-4-carboxamide and a PKC-ζ specific 8-hydroxy-1,3,6-naphthalenetrisulfonic acid. Both compounds induced apoptosis and retarded the epithelial-mesenchymal transition (EMT) of NB cells. Proteins 14-3-3 and Smad2/3 acted as central regulators of aPKC-driven progression in BE(2)-C and BE(2)-M17 cells in relation to the Akt1/NF-κB and TGF-β pathways. Data indicates that aPKCs upregulate Akt1/NF-κB and TGF-β pathways in NB cells through an association with 14-3-3 and Smad2/3 that can be diminished by aPKC inhibitors. In summary, both inhibitors appear to be promising potential neuroblastoma therapeutics and merit further research.

Neuroblastoma-related severe hypoperfusion in the cerebellum of an infant: A case of opsoclonus-myoclonus syndrome.

A 2-year-old girl started to wobble without any specific triggers, so the patient was admitted to our hospital's pediatric department. The entire cerebellum showed severe atrophy on MRI and much lower uptake than that in the cerebral cortex on perfusion SPECT. The diagnosis of opsoclonus-myoclonus syndrome (OMS) was suspected. MRI visualized a small mass behind the inferior vena cava. Although its uptake on I-123 MIBG scintigraphy was inconclusive, the mass was surgically removed, and the diagnosis of neuroblastoma was pathologically confirmed. OMS is one of the paraneoplastic neurological syndromes with cerebellar ataxia, myoclonus of the trunk and extremities, and opsoclonus as its main symptoms. Approximately 50% of children cases with OMS are associated with neuroblastoma. The prognosis for neuroblastoma itself with OMS is relatively good, but the neurological prognosis is very poor. If there is decreased blood flow in the cerebellum of an infant, it may be necessary to search for neuroblastoma.

Inhibition of PI3 kinase isoform p110α suppresses neuroblastoma growth and induces the reduction of Anaplastic Lymphoma Kinase

BackgroundIn neuroblastoma, hyperactivation of the PI3K signaling pathway has been correlated with aggressive neuroblastomas, suggesting PI3Ks as promising targets for the treatment of neuroblastoma. However, the oncogenic roles of individual PI3K isoforms in neuroblastoma remain elusive.ResultsWe found that PI3K isoform p110α was expressed at higher levels in neuroblastoma tissues compared with normal tissues, and its high expression was correlated with an unfavorable prognosis of neuroblastoma. Accordingly, PI3K activation in neuroblastoma cells was predominantly mediated by p110α but not by p110β or p110δ. Suppression of p110α inhibited the growth of neuroblastoma cells both in vitro and in vivo, suggesting a crucial role of p110α in the tumorigenesis of neuroblastoma. Mechanistically, inhibition of p110α decreased anaplastic lymphoma kinase (ALK) in neuroblastoma cells by decreasing its protein stability.ConclusionsIn this study, we investigated the oncogenic roles of PI3K isoforms in neuroblastoma. Our data shed light on PI3K isoform p110α in the tumorigenesis of neuroblastoma, and strongly suggest the p110α inhibitors as potential drugs in treating neuroblastoma.

A novel ganglioside-related risk signature can reveal the distinct immune landscape of neuroblastoma and predict the immunotherapeutic response.

Gangliosides play an essential role in cancer development and progression. However, the involvement of gangliosides in the prognosis and tumor microenvironment (TME) of neuroblastoma is not entirely understood. Consensus clustering analysis was performed to identify ganglioside-mediated molecular subtypes. LASSO-Cox analysis was conducted to identify independent prognostic genes, and a novel risk signature was constructed. The risk signature was validated internally and externally. We further explored the independent prognosis value, immune landscape, drug susceptibility, and tumor dedifferentiation of the risk signature. The role of the signature gene B3GALT4 in neuroblastoma was explored in vitro. Seventeen ganglioside-related genes were differentially expressed between INSS stage 4 and other stages, and two ganglioside-related clusters with distinct prognoses were identified. A novel risk signature integrating ten ganglioside-related prognostic genes was established. Across the train set and external validation sets, the risk signature presented high predictive accuracy and discrimination. The risk signature was an independent prognostic factor and constructed a nomogram combining multiple clinical characteristics. In the high-score group, the deficiency in antigen processing and presenting machinery, lack of immune cell infiltration, and escaping NK cells contributed substantially to immune escape. The low-score group was more responsive to immune checkpoint blockade therapy, while the high-score group showed substantial sensitivity to multiple chemotherapeutic drugs. Besides, the risk score was significantly positively correlated with the stemness index and reduced considerably in all-trans retinoic acid-treated neuroblastoma cell lines, indicating high dedifferentiation in the high-score group. Additionally, neuroblastoma cells with downregulation of B3GALT4 present with increased proliferation, invasion, and metastasis abilities in vitro. The novel ganglioside-related risk signature highlights the role of ganglioside in neuroblastoma prognosis and immune landscape and helps optimize chemotherapy and immunotherapy for neuroblastoma.

Neuroblastoma survival in South African children is more influenced by biological than socioeconomic factors

Background: Optimal management of neuroblastoma depends on accurate risk stratification at diagnosis. Many low- and middle-income countries lack access to specific genetic tests used globally for this purpose.Aim: To determine whether socioeconomic factors predict prognosis in neuroblastoma and could therefore provide alternative measures for risk stratification in resource-constrained settings.Setting: The three main paediatric oncology units in Johannesburg, South Africa: Charlotte Maxeke Johannesburg Academic Hospital, Chris Hani Baragwanath Academic Hospital and Wits Donald Gordon Medical Centre.Methods: This retrospective record review included 145 patients presenting with biopsy-proven neuroblastoma between 01 January 2000 and 31 December 2018. Kaplan–Meier survival analysis was performed in relation to biological and socioeconomic factors, the latter including parental employment status, nationality, and distance of residence from treating facility. Cox proportional hazards regression analysis assessed the significance and effect of these prognostic factors.Results: Factors with significant effect on survival were age below 18 months (p 0.0001), extra-abdominal primary tumour site (p = 0.02), lower stage (p 0.001), serum ferritin level 0.0001) and favourable International Neuroblastoma Pathological Committee histology (p 0.0001), race (p = 0.005), nationality (p = 0.05) and paternal employment (p = 0.02). The association between distance from treating facility and stage at diagnosis was not significant (Tb = 0.108, p = 0.06).Conclusion: Biological factors exert a great influence on neuroblastoma survival than the socioeconomic factors analysed. This suggests that tumour biology exerts an overriding influence on prognosis in neuroblastoma.

Prediction to the prognosis of children with neuroblastoma by nomogram based on the first-diagnosed inflammatory markers.

Patients with high-risk neuroblastoma (NB) have a poor prognosis. The prognostic significance of inflammatory biomarker-based nomograms for children with NB has not been previously studied. Part of patients diagnosed with NB in our center from January 2016 to March 2022 were included in the study. Inflammatory biomarkers were primary outcome measures, including C-reactive protein (CRP), ferritin, neutrophil to lymphocyte ratio (NLR), and lymphocyte to monocyte ratio (LMR), platelet to lymphocyte ratio (PLR) and systemic immune-inflammation index (SII). Univariate and multivariate survival analyses were performed to assess the prognostic value of these indicators for overall survival (OS) in NB children, showing the Kaplan-Meier survival curves and plotting the nomogram. C-index were used to detect predictability. 93 NB patients were retrospectively analyzed. CRP, ferritin, NLR, PLR, and SII were significantly associated with OS of NB patients, while LMR were found to be not predictive of OS for NB patients. The established nomogram is well-calibrated, and the C-index is 0.731. Survival analysis found part of inflammatory biomarkers related to the prognosis of NB. The nomogram could be used as a convenient predictive tool in clinical practice to evaluate the prognosis of NB children at first diagnosis.

Identification of Key Genes Associated with Risk and Prognosis of Neuroblastoma.

Neuroblastoma is a childhood malignancy with high morbidity and mortality. We identified key biomarkers associated with neuroblastoma risk and prognosis. The gene modules most associated with neuroblastoma risk were derived by WGCNA. Modular genes were intersected with differentially expressed genes between patients with high-risk (HR) and non-high-risk (NHR) to obtain risk genes, and enrichment analysis was performed. After incorporating risk genes into Cox regression analysis, LASSO algorithm, and K-M survival analysis, key genes were identified and introduced into four external datasets for validation. We performed short time-series expression miner analysis and single-sample genome enrichment analysis. Finally, we evaluated the difference in DNA methylation levels to identify meaningful methylation marks. We identified 5 key genes (ANO6, CPNE2, DST, PLXNC1, SCN3A) for neuroblastoma risk and prognosis, which correlated closely with known neuroblastoma biomarkers. All key genes showed a progressive downregulation trend with increasing risk levels of neuroblastoma. The immune infiltration of 14 immune cells was significantly different between HR-NB and NHR-NB, and most immune cells were negatively correlated with key genes. Furthermore, the expression of ANO6, CPNE2, DST, and PLXNC1 was modified by DNA methylation. This study identified 5 key genes for neuroblastoma risk and prognosis that were potential biomarkers.

Expression of programmed cell death-1 on neuroblastoma cells in TH-MYCN transgenic mice.

Immunotherapy may improve the poor prognosis of high-risk neuroblastoma. Programmed cell death-1 (PD-1) is expressed in several cancers. The tyrosine hydroxylase MYCN (TH-MYCN) transgenic mouse model is widely used in neuroblastoma research, but detailed information on its immunological background is lacking. Therefore, we studied the immunological tumor microenvironment and tumor cell surface antigen expression in homozygote and hemizygote mice and effects of antibody therapy against PD-1. CD4, CD8, CD11b, and CD11c expression in immune cells from retroperitoneal lymph nodes and spleen was analyzed by flow cytometry. Tumor cell surface antigen expression was confirmed, and data from homozygote and hemizygote mice were compared. Effects of anti-PD-1 antibody were evaluated. CD4-, CD8-, CD11b-, and CD11c-positive cells were not significantly different in homozygote and hemizygote mice, and CD11b- and CD11c-positive cells were identified in the tumor microenvironment in both. Tumor cells expressed PD-1, and anti-PD-1 antibody had anti-tumor effects and significantly reduced the percentage of living tumor cells in cultures after 2h. The immunological background is similar in homozygote and hemizygote TH-MYCN transgenic mice, and both have PD-1-positive tumor cells. Anti-PD-1 antibody suppresses tumor growth. This mouse model may be a useful for studying immunotherapy of neuroblastoma.

A signature based on five immune-related genes to predict the survival and immune characteristics of neuroblastoma

BackgroundMYCN amplification (MNA) has been proved to be related to poor prognosis in neuroblastoma (NBL), but the MYCN-related immune signatures and genes remain unclear.MethodsEnrichment analysis was used to identify the significant enrichment pathways of differentially expressed immune-related genes (DEIRGs). Weight gene coexpression network analysis (WGCNA) was applied to reveal the correlation between these DEIRGs and MYCN status. Univariate and multivariate Cox analyses were used to construct risk model. The relevant fractions of immune cells were evaluated by CIBERSORT and single-sample gene set enrichment analysis (ssGSEA).ResultsFive genes, including CHGA, PTGER1, SHC3, PLXNC1, and TRIM55 were enrolled into the risk model. Kaplan–Meier survival analysis and receiver operating characteristic (ROC) curve showed that our model performed well in predicting the outcomes of NBL (3-years AUC = 0.720, 5-year AUC = 0.775, 10-years AUC = 0.782), which has been validated in the GSE49711 dataset and the E-MTAB-8248 dataset. By comparing with the tumor immune dysfunction and exclusion (TIDE) and tumor inflammation signature (TIS), we further proved that our model is reliable. Univariate and multivariate Cox regression analyses indicated that the risk score, age, and MYCN can serve as independent prognostic factors in the E-MATB-8248. Functional enrichment analysis showed the DEIRGs were enriched in leukocyte adhesion-related signaling pathways. Gene set enrichment analysis (GSEA) revealed the significantly enriched pathways of the five MYCN-related DEIRGs. The risk score was negatively correlated with the immune checkpoint CD274 (PD-L1) but no significant difference with the TMB. We also confirmed the prognostic value of our model in predicting immunotherapeutics.ConclusionWe constructed and verified a signature based on DEIRG that related to MNA and predicted the survival of NBL based on relevant immune signatures. These findings could provide help for predicting prognosis and developing immunotherapy in NBL.

Multi-omics integration reveals a six-malignant cell maker gene signature for predicting prognosis in high-risk neuroblastoma.

Neuroblastoma is the most common extracranial solid tumor of childhood, arising from the sympathetic nervous system. High-risk neuroblastoma (HRNB) remains a major therapeutic challenge with low survival rates despite the intensification of therapy. This study aimed to develop a malignant-cell marker gene signature (MMGS) that might serve as a prognostic indicator in HRNB patients. Multi-omics datasets, including mRNA expression (single-cell and bulk), DNA methylation, and clinical information of HRNB patients, were used to identify prognostic malignant cell marker genes. MMGS was established by univariate Cox analysis, LASSO, and stepwise multivariable Cox regression analysis. Kaplan-Meier (KM) curve and time-dependent receiver operating characteristic curve (tROC) were used to evaluate the prognostic value and performance of MMGS, respectively. MMGS further verified its reliability and accuracy in the independent validation set. Finally, the characteristics of functional enrichment, tumor immune features, and inflammatory activity between different MMGS risk groups were also investigated. We constructed a prognostic model consisting of six malignant cell maker genes (MAPT, C1QTNF4, MEG3, NPW, RAMP1, and CDT1), which stratified patients into ultra-high-risk (UHR) and common-high-risk (CHR) group. Patients in the UHR group had significantly worse overall survival (OS) than those in the CHR group. MMGS was verified as an independent predictor for the OS of HRNB patients. The area under the curve (AUC) values of MMGS at 1-, 3-, and 5-year were 0.78, 0.693, and 0.618, respectively. Notably, functional enrichment, tumor immune features, and inflammatory activity analyses preliminarily indicated that the poor prognosis in the UHR group might result from the dysregulation of the metabolic process and immunosuppressive microenvironment. This study established a novel six-malignant cell maker gene prognostic model that can be used to predict the prognosis of HRNB patients, which may provide new insight for the treatment and personalized monitoring of HRNB patients.