Outcome In Neuroblastoma Research Articles

Germline functional variants contribute to somatic mutation and outcomes in neuroblastoma.

Germline genetic context may play a significant role in the development and evolution of cancer, particularly in childhood cancers such as neuroblastoma. This study investigates the role of putatively functional germline variants in neuroblastoma, even if they do not directly increase disease risk. Our whole-exome sequencing analysis of 125 patients with neuroblastoma reveals a positive correlation between germline variant burden and somatic mutations. Moreover, patients with higher germline variant burden exhibit worse outcomes. Similar findings are observed in the independent neuroblastoma cohort where a higher germline variant burden correlates with a higher somatic mutational burden and a worse overall survival outcome. However, contrasting results emerge in adult-onset cancer, emphasizing the importance of germline genetics in neuroblastoma. The enrichment of putatively functional germline variants in cancer predisposition genes is borderline significant when compared to healthy populations (P = 0.077; Odds Ratio, 1.45; 95% confidence intervals, 0.94-2.21) and significantly more pronounced against adult-onset cancers (P = 0.016; Odds Ratio, 2.13; 95% confidence intervals, 1.10-3.91). Additionally, the presence of these variants proves to have prognostic significance in neuroblastoma (log-rank P < 0.001), and combining germline with clinical risk factors notably improves survival predictions.

Response-adapted consolidation therapy strategy for patients with metastatic high-risk neuroblastoma: Results of the SMC NB-2014 study.

Tandem high-dose chemotherapy and autologous stem cell transplantation (HDCT/auto-SCT) and incorporation of 131I-metaiodobenzylguanidine (131I-MIBG) treatment have shown positive outcomes in high-risk neuroblastoma. However, more optimized treatment strategies are still needed. The NB-2014 study was a nonrandomized, prospective trial that examined survival outcomes in metastatic high-risk neuroblastoma patients using response-adapted consolidation therapy. We used post-induction residual 123I-MIBG status at metastatic sites as a treatment response marker. Patients achieving complete resolution of MIBG uptake at metastatic sites underwent a reduced first HDCT/auto-SCT with a 20% dose reduction in HDCT. After the first HDCT/auto-SCT, patients with remaining MIBG uptake received dose-escalated (18mCi/kg) 131I-MIBG treatment. In contrast, those with complete resolution of MIBG at metastatic sites received a standard dose (12mCi/kg) of 131I-MIBG. We compared survival and toxicity outcomes with a historical control group from the NB-2009. Of 65 patients treated, 63% achieved complete resolution of MIBG uptake at metastatic sites following induction chemotherapy, while 29% of patients still had MIBG uptake at metastatic sites after the first HDCT/auto-SCT. The 3-year event-free survival (EFS) and overall survival (OS) rates were 68.2%±6.0% and 86.5%±4.5%, respectively. Compared to NB-2009, EFS was similar (p=.855); however, NB-2014 had a higher OS (p=.031), a lower cumulative incidence of treatment-related mortality (p=.036), and fewer acute and late toxicities. Our results suggest that response-adaptive consolidation therapy based on chemotherapy response at metastatic sites facilitates better treatment tailoring, and appears promising for patients with metastatic high-risk neuroblastoma.

KLF7 promotes neuroblastoma differentiation through the GTPase signaling pathway by upregulating neuroblast differentiation-associated protein AHNAKs and glycerophosphodiesterase GDPD5.

The arrest of neural crest-derived sympathoadrenal neuroblast differentiation contributes to neuroblastoma formation, and overriding this blocked differentiation is a clear strategy for treating high-risk neuroblastoma. A better understanding of neuroblast or neuroblastoma differentiation is essential for developing new therapeutic approaches. It has been proposed that Krueppel-like factor 7 (KLF7) is a neuroblastoma super-enhancer-associated transcription factor gene. Moreover, KLF7 was found to be intensely active in postmitotic neuroblasts of the developing nervous system during embryogenesis. However, the role of KLF7 in the differentiation of neuroblast or neuroblastoma is unknown. Here, we find a strong association between high KLF7 expression and favorable clinical outcomes in neuroblastoma. KLF7 induces differentiation of neuroblastoma cells independently of the retinoic acid (RA) pathway and acts cooperatively with RA to induce neuroblastoma differentiation. KLF7 alters the GTPase activity and multiple differentiation-related genes by binding directly to the promoters of neuroblast differentiation-associated protein (AHNAK and AHNAK2) and glycerophosphodiester phosphodiesterase domain-containing protein 5 (GDPD5) and regulating their expression. Furthermore, we also observe that silencing KLF7 in neuroblastoma cells promotes the adrenergic-to-mesenchymal transition accompanied by changes in enhancer-mediated gene expression. Our results reveal that KLF7 is an inducer of neuroblast or neuroblastoma differentiation with prognostic significance and potential therapeutic value.

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.

APPLICATION OF THE INTERNATIONAL NEUROBLASTOMA RISK GROUP STAGING SYSTEM 2009 (INRGSS 2009) IN DIAGNOSIS AND PROGNOSIS OF CHILDHOOD NEUROBLASTOMA

Background: Neuroblastoma is the most common extracranial solid tumor of childhood. INRGSS 2009 divides patients into stages L1, L2, M, Ms, from which, in combination with histopathology, molecular biology, each patient will be divided into risk groups from which to guide prognosis and suitable treatment. Objectives: Describe the clinical and laboratory features of neuroblastoma in children; distribution of pediatric neuroblastoma stages according to the INRGSS 2009 classification and its value in predicting survival outcomes. Methods: This was a cross-sectional study combined with retrospective and prospective. Patients were diagnosed with neuroblastoma and classified according to INRGSS 2009 at the Pediatric Center, Hue Central Hospital. Results: The age at the time of diagnosis ranged from 1 day old to 9 years old, with a mean of 35.4 ± 25.5 months. Regarding primary tumor, 73.5% of cases were found in the abdomen, the mediastinum region (22.4%), an undetermined region (4.1%). Systemic symptoms, local symptoms and symptoms caused by metastasis were frequently reported. At the time of diagnosis, 73.5% of the patients had distant metastases (stage M or MS). The EFS of the whole group at 12 and 24 months old were 86.3 % and 64.7% respectively. The OS was 77.9% at 24 months old. Most of these patients had a progressive disease: 6.1% were in stage L1; 20.4% were in stage L2; 69.4% were in stage M; and 4.1% were in stage MS. Estimated mean of event-free survival for L1 was 38.7 ± 3.5 months, L2 was 40.5 ± 4.2 months and M was 28.0 ± 2.5 months (p &lt; 0.05). Conclusions: Most neuroblastoma tumors are abdominal and have distant metastases. LDH and ferritin elevations are prevalent. Neuroblastoma outcomes can be predicted using the INRGSS 2009 classification.

Unsaturated Fatty Acid Synthesis Is Associated with Worse Survival and Is Differentially Regulated by MYCN and Tumor Suppressor microRNAs in Neuroblastoma.

MYCN amplification (MNA) and disruption of tumor suppressor microRNA (TSmiR) function are key drivers of poor outcomes in neuroblastoma (NB). While MYCN and TSmiRs regulate glucose metabolism, their role in de novo fatty acid synthesis (FAS) and unsaturated FAS (UFAS) remains poorly understood. Here, we show that FAS and UFAS (U/FAS) genes FASN, ELOVL6, SCD, FADS2, and FADS1 are upregulated in high-risk (HR) NB and that their expression is associated with lower overall survival. RNA-Seq analysis of human NB cell lines revealed parallel U/FAS gene expression patterns. Consistent with this, we found that NB-related TSmiRs were predicted to target these genes extensively. We further observed that both MYC and MYCN upregulated U/FAS pathway genes while suppressing TSmiR host gene expression, suggesting a possible U/FAS regulatory network between MYCN and TSmiRs in NB. NB cells are high in de novo synthesized omega 9 (ω9) unsaturated fatty acids and low in both ω6 and ω3, suggesting a means for NB to limit cell-autonomous immune stimulation and reactive oxygen species (ROS)-driven apoptosis from ω6 and ω3 unsaturated fatty acid derivatives, respectively. We propose a model in which MYCN and TSmiRs regulate U/FAS and play an important role in NB pathology, with implications for other MYC family-driven cancers.

The impact of multidisciplinary approaches on the outcomes of olfactory neuroblastoma treated with postoperative radiotherapy.

We investigated the outcomes of postoperative radiation therapy for olfactory neuroblastoma (ONB) and our cross-departmental collaboration to enhance the effectiveness of cancer treatment. We retrospectively evaluated 22 patients with ONB who underwent postoperative radiotherapy after tumor resection. En bloc resection was performed; pathology specimens were prepared in coronal sections; and irradiation fields were determined after discussion with radiation oncologists, head and neck surgeons, and pathologists. The overall survival and local control rates were 95.5% and 100%, respectively, at a median 37-month follow-up. The 3- and 5-year disease-free survival (DFS) rates were 64.4% and 56.3%, respectively. Of the 22 patients, 9 (8 Kadish C and 1 Kadish B) had disease recurrence. Of the nine patients, five had positive margins and two had closed margins; cervical lymph node recurrence occurred in six, and distant metastasis with or without cervical lymph node recurrence occurred in three. DFS analysis of risk factors showed no statistically significant differences, but positive margins were a significant recurrence factor in multivariate analysis. The local control rate of ONB treated with postoperative radiation therapy was 100%. This may be attributed to cross-departmental cooperation between head and neck surgeons, pathologists, and radiation oncologists, which resulted in accurate matching of CT images for treatment planning with the location of the tumor and positive margins. Longer follow-up periods are required to evaluate the effectiveness of our strategy.

AF1q is a universal marker of neuroblastoma that sustains N-Myc expression and drives tumorigenesis

Neuroblastoma is the most common extracranial malignant tumor of childhood, accounting for 15% of all pediatric cancer deaths. Despite significant advances in our understanding of neuroblastoma biology, five-year survival rates for high-risk disease remain less than 50%, highlighting the importance of identifying novel therapeutic targets to combat the disease. MYCN amplification is the most frequent and predictive molecular aberration correlating with poor outcome in neuroblastoma. N-Myc is a short-lived protein primarily due to its rapid proteasomal degradation, a potentially exploitable vulnerability in neuroblastoma. AF1q is an oncoprotein with established roles in leukemia and solid tumor progression. It is normally expressed in brain and sympathetic neurons and has been postulated to play a part in neural differentiation. However, no role for AF1q in tumors of neural origin has been reported. In this study, we found AF1q to be a universal marker of neuroblastoma tumors. Silencing AF1q in neuroblastoma cells caused proteasomal degradation of N-Myc through Ras/ERK and AKT/GSK3β pathways, activated p53 and blocked cell cycle progression, culminating in cell death via the intrinsic apoptotic pathway. Moreover, silencing AF1q attenuated neuroblastoma tumorigenicity in vivo signifying AF1q’s importance in neuroblastoma oncogenesis. Our findings reveal AF1q to be a novel regulator of N-Myc and potential therapeutic target in neuroblastoma.

Treatment Outcomes of Olfactory Neuroblastoma: A Multicenter Study by the Korean Sinonasal Tumor and Skull Base Surgery Study Group.

Due to the rarity of olfactory neuroblastoma (ONB), there is ongoing debate about optimal treatment strategies, especially for early-stage or locally advanced cases. Therefore, our study aimed to explore experiences from multiple centers to identify factors that influence the oncological outcomes of ONB. We retrospectively analyzed 195 ONB patients treated at nine tertiary hospitals in South Korea between December 1992 and December 2019. Kaplan-Meier survival analysis was used to evaluate oncological outcomes, and a Cox proportional hazards regression model was employed to analyze prognostic factors for survival outcomes. Furthermore, we conducted 1:1 nearest-neighbor matching to investigate differences in clinical outcomes according to the use of neoadjuvant chemotherapy. In our cohort, the 5-year overall survival (OS) rate was 78.6%, and the 5-year disease-free survival (DFS) rate was 62.4%. The Cox proportional hazards model revealed that the modified Kadish (mKadish) stage and Dulguerov T status were significantly associated with DFS, while the mKadish stage and Hyams grade were identified as prognostic factors for OS. The subgroup analyses indicated a trend toward improved 5-year DFS with dural resection in mKadish A and B cases, even though the result was statistically insignificant. Induction chemotherapy did not provide a survival benefit in this study after matching for the mKadish stage and nodal status. Clinical staging and pathologic grading are important prognostic factors in ONB. Dural resection in mKadish A and B did not show a significant survival benefit. Similarly, induction chemotherapy also did not show a survival benefit, even after stage matching.

Comparable post-transplant outcomes of high-risk neuroblastoma from a tertiary care unit of low- and middle-income country

Comparable post-transplant outcomes of high-risk neuroblastoma from a tertiary care unit of low- and middle-income country

Repurposing disulfiram, an alcohol-abuse drug, in neuroblastoma causes KAT2A downregulation and in vivo activity with a water/oil emulsion

Neuroblastoma, the most common type of pediatric extracranial solid tumor, causes 10% of childhood cancer deaths. Despite intensive multimodal treatment, the outcomes of high-risk neuroblastoma remain poor. We urgently need to develop new therapies with safe long-term toxicity profiles for rapid testing in clinical trials. Drug repurposing is a promising approach to meet these needs. Here, we investigated disulfiram, a safe and successful chronic alcoholism treatment with known anticancer and epigenetic effects. Disulfiram efficiently induced cell cycle arrest and decreased the viability of six human neuroblastoma cell lines at half-maximal inhibitory concentrations up to 20 times lower than its peak clinical plasma level in patients treated for chronic alcoholism. Disulfiram shifted neuroblastoma transcriptome, decreasing MYCN levels and activating neuronal differentiation. Consistently, disulfiram significantly reduced the protein level of lysine acetyltransferase 2A (KAT2A), drastically reducing acetylation of its target residues on histone H3. To investigate disulfiram’s anticancer effects in an in vivo model of high-risk neuroblastoma, we developed a disulfiram-loaded emulsion to deliver the highly liposoluble drug. Treatment with the emulsion significantly delayed neuroblastoma progression in mice. These results identify KAT2A as a novel target of disulfiram, which directly impacts neuroblastoma epigenetics and is a promising candidate for repurposing to treat pediatric neuroblastoma.

Computational intelligence analysis of high-risk neuroblastoma patient health records reveals time to maximum response as one of the most relevant factors for outcome prediction

ObjectiveSeek new candidate prognostic markers for neuroblastoma outcome, relapse or progression. Materials and methodsIn this multicentre and retrospective study, Random Forests coupled with recursive feature elimination techniques were applied to electronic records (55 clinical features) of 3034 neuroblastoma patients. To assess model performance and feature importance, dataset was split into a training set (80%) and a test set (20%). ResultsIn the test set, the mean Matthews correlation coefficient for the Random Forests models was greater than 0.46. Feature importance analysis revealed that, together with maximum response to first-line treatment (D_MAX_RESP), time to maximum response to first-line treatment (TIME_MAX_RESP.days) is a relevant predictor of both patients’ outcome and relapse\\progression. We showed the prognostic value of the max response to first-line treatment in clinically relevant subsets of high-, intermediate-, and low-risk patients for both overall and relapse-free survival (Log-rank p-value<0.0001). In high-risk patients older than 18 months and stage 4 tumour achieving a complete response or very good partial response, patients who exhibited a D_MAX_RESP greater than 9 months showed a better prognosis with respect to patients achieving D_MAX_RESP earlier than 9 months (overall survival): hazard ratio 3.3 95% confidence interval 1.8–5.9, Log-rank p-value p < 0.0001; relapse-free survival: 3.2 95%CI 1.8–5.6, Log-rank p-value p < 0.0001). ConclusionOur findings evidence the emerging role of the TIME_MAX_RESP.days in addition to the D_MAX_RESP as relevant predictors of outcome and relapse\\progression in neuroblastoma with potential clinical impact on the management and treatment of patients.

Cross-cohort analysis identified an immune checkpoint-based signature to predict the clinical outcomes of neuroblastoma

BackgroundNeuroblastoma (NB) places a substantial health burden on families worldwide. This study aimed to develop an immune checkpoint-based signature (ICS) based on the expression of immune checkpoints to better assess...

Abstract 1558: Targeting CDK9 via the small-molecule inhibitor enitociclib as a therapeutic strategy to treat MYCN-amplified rhabdomyosarcoma and neuroblastoma in children

Abstract Introduction: MYCN amplification is the genetic aberration most consistently associated with poor outcomes in alveolar rhabdomyosarcomas (aRMS) and neuroblastoma (NBL). It regulates key oncogenic processes including tumor cell survival, proliferation and metastasis. In aRMS, MYCN transcription is driven by the PAX3-FOXO1 gene fusion. MYCN and other short half-life mRNA transcripts depend on CDK9 to drive transcription of target genes to initiate and maintain the oncogenic program, making CDK9 blockade an effective therapeutic route against MYC-driven cancers. We have previously shown the activity and tolerability of enitociclib in tumor xenograft models. In this study, we investigated the activity of the selective small-molecule CDK9 inhibitor enitociclib (VIP152/BAY1521152) in preclinical models of pediatric MYCN-amplified aRMS and NBL. Methods: Cell-based viability assays were performed in aRMS (Rh30 and Rh41) and NBL (LAN1, SK-N-AS, SK-N-BE(2) and SK-N-MC) cell lines. Enitociclib antitumor activity was measured by Alamar Blue cell viability assay after 96 h exposure at 9 dose levels (8 nM-2 μM) with DMSO used as control. We performed combination screens of enitociclib with several FDA-approved drugs (n=215). Selected agents with IC50 values &amp;lt;1 μM were analyzed at constant dilution ratios of two inhibitors. Drug synergy was calculated by established methods using SynergyFinder 3.0. Target modulation was determined for RNA polymerase II (RNAPII), MYCN and apoptosis inducers caspase-3 and PARP, in addition to PAX3-FOXO1 and PLK1 protein levels in aRMS cells, by western blotting after continuous exposure with enitociclib for 24 h. Results: Significant cytotoxic activity, with IC50 values ranging from 48-182 nM and 39-123 nM was seen for aRMS cells and NBL cells, respectively. SynergyFinder found synergistic effects of enitociclib with irinotecan, carfilzomib, etoposide, bortezomib, selinexor or topotecan tested at clinically relevant concentrations in the aRMS cell line Rh41. Enitociclib induced apoptosis with cleavage of caspase-3 and PARP by western blotting in a dose- and time-dependent manner in addition to the depletion of phosphorylated RNAPII (Ser2) and MYCN protein levels. In aRMS cells, PAX3-FOXO1 fusion and PLK1 proteins were downregulated. Annexin V/propidium iodide staining confirmed a dose-dependent increase in apoptosis after enitociclib exposure. Conclusions: Our results suggest that CDK9 inhibition is potentially clinically relevant for MYCN-amplified solid tumors such as aRMS and NBL due to its significant antitumor activity and pharmacologic targetability. The data provide essential information on the distinct targets, biomarkers of activity and clinically feasible drug combinations for the development of enitociclib in clinical trials addressing an unmet need in pediatric oncology. Citation Format: Son Tran, Patrick Sipila, Melanie M. Frigault, Amy J. Johnson, Joseph Birkett, Raquel Izumi, Ahmed Hamdy, Beatrix Stelte-Ludwig, David P. Douglass, Anne-Marie Langevin, Norman J. Lacayo, Aru Narendran. Targeting CDK9 via the small-molecule inhibitor enitociclib as a therapeutic strategy to treat MYCN-amplified rhabdomyosarcoma and neuroblastoma in children [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 1558.

Association of image-defined risk factors with clinical features, tumor biology, and outcomes in neuroblastoma: a single-center retrospective study.

Image-defined risk factors (IDRF) in neuroblastoma have been developed to predict tumor resectability and surgical complications; however, the potential prognostic value of IDRF in neuroblastoma has been variably reported. Previous studies did not report the IDRF status separately from the International Neuroblastoma Risk Group (INRG) stage. Moreover, the association between IDRF and clinical and pathological factors has not been discussed further. In this retrospective study, we investigated the clinical and biological features of neuroblastoma at different INRG stages based on IDRF. Event-free survival (EFS) and overall survival (OS) related to the INRG stage were analyzed using log-rank tests, and the prognostic value of the IDRF number and type was also evaluated. Among 72 patients, 182 IDRF at diagnosis were found in 79.2%. The distribution of the INRG stages was 10 L1 (13.9.0%), 25 L2 (34.7%), and 37M/MS (51.4%). Patients with stage M/Ms had a larger tumor volume, a higher percentage of age ≥ 18months, elevated lactate dehydrogenase (LDH) level, elevated ferritin level, and a higher percentage of COG high-risk compared with stage L1 and L2 patients. EFS and OS were similar for stage L1 and L2 tumors but were significantly poorer for metastatic disease. However, EFS (P = 0.06) and OS (P = 0.07) were similar for IDRF-negative and positive neuroblastomas. Patients with stage M/Ms with IDRF-positive had poorer EFS (P = 0.001) and OS (P < 0.001) compared with patients in stage L2. An IDRF ≥ 4, vascular IDRF, and infiltrative IDRF of the tumor were significant indicators of poor prognosis. Conclusion: Our study indicates that increasing the INRG stages based on IDRF is associated with various unfavorable clinical features of neuroblastoma. The principal determinant of survival in neuroblastoma is the presence of metastatic disease more than IDRF alone at diagnosis. Both the number and type of IDRF have important clinical significance in the protocol planning of neuroblastoma, rather than just considering the absence or presence of IDRF. What is Known: • The International Neuroblastoma Risk Group Staging System (INRGSS) now employs image-defined risk factors (IDRFs) to stratify and stage disease. • The presence of IDRF at diagnosis are associated with higher rates of operative complications and incomplete surgical resection. What is New: • The principal determinant of survival from neuroblastoma is the presence of metastatic disease at diagnosis, more than IDRF alone. • IDRF number and type should also be considered during the diagnosis and treatment planning of neuroblastoma, rather than just considering the absence or presence of IDRF.

The results of concentration of care: Surgical outcomes of neuroblastoma in the Netherlands.

In the Netherlands pediatric oncological care for solid tumours is concentrated in one centre since November 2014. One of the most frequently diagnosed solid non-brain tumours in children is the neuroblastoma. Results of surgical treatment of neuroblastoma since the start of this centralization are presented and compared to a historic cohort. The new national cohort of neuroblastoma (n=111) consists of all consecutive patients treated between January 1st, 2015 and April 1st, 2021. The historic neuroblastoma cohort consists of all operated neuroblastoma patients in the Netherlands between 1998 and 2014 (n=244). Intra-operative complications and surgical outcome were registered. Post-operative complications were divided in short (<30 days after surgery) and long term (>30 days). The severity of complications was graded using the Clavien Dindo Classification (CDC) system. Intraoperative outcomes showed significant differences in favour of the new cohort with less blood loss (p<0.001), fewer vascular complications (p<0.001) and shorter duration of surgery (p<0.001). Short term complications were comparable in numbers, but significantly more patients had CDC grade 3/4/5 complications in the historic cohort (p=0.005). Long term complications did not differ. Estimated overall survival showed a better survival in the new cohort (log rank 0.022). Centralization of care for neuroblastoma patients has led to a significant improvement of both intraoperative outcomes and short term complications.

CCDC86 is a novel Ki-67-interacting protein important for cell division.

The chromosome periphery is a network of proteins and RNAs that coats the outer surface of mitotic chromosomes. Despite the identification of new components, the functions of this complex compartment are poorly characterised. In this study, we identified a novel chromosome periphery-associated protein, CCDC86 (also known as cyclon). Using a combination of RNA interference, microscopy and biochemistry, we studied the functions of CCDC86 in mitosis. CCDC86 depletion resulted in partial disorganisation of the chromosome periphery with alterations in the localisation of Ki-67 (also known as MKI67) and nucleolin (NCL), and the formation of abnormal cytoplasmic aggregates. Furthermore, CCDC86-depleted cells displayed errors in chromosome alignment, altered spindle length and increased apoptosis. These results suggest that, within the chromosome periphery, different subcomplexes that include CCDC86, nucleolin and B23 (nucleophosmin or NPM1) are required for mitotic spindle regulation and correct kinetochore-microtubule attachments, thus contributing to chromosome segregation in mitosis. Moreover, we identified CCDC86 as a MYCN-regulated gene, the expression levels of which represent a powerful marker for prognostic outcomes in neuroblastoma.

Integrating Bulk-seq and Single-cell-seq Reveals Estrogen and MAPK Pathways Associating with Neuroblastoma Outcome.

Neuroblastoma is the most common extracranial solid tumor in children. Patients with high-risk neuroblastoma have a 5-year survival rate less than 50% after extensive treatment. Signaling pathways control cell fate decisions that dictate the behavior of tumor cells. The deregulation of signaling pathways is etiological in cancer cells. Thus, we speculated that the pathway activity of neuroblastoma contains more prognostic information and therapeutic targets. Using a footprint-based method, we calculated the activity of fourteen pathways in neuroblastoma. Through stepwise Cox regression analyses, we established a three-gene prognostic signature whose predictive performance was evaluated by external validation. Combining a single-cell sequencing dataset, the most active pathways in high-risk neuroblastoma were found. We found that several pathway activities were correlated with neuroblastoma outcomes. We built a three-gene model comprising DLK1, FLT3, and NTRK1, which exhibited superior internal and external performances. We created a nomogram that combines clinical characteristics to aid in the selection and visualization of high-risk neuroblastoma patients. Furthermore, by integrating a single-cell sequencing dataset, we found that estrogen and MAPK were the most active pathways in high-risk neuroblastoma. Our findings suggest that pathway-related therapies may hold promise for the treatment of high-risk neuroblastoma.

A retrospective evaluation of the presentation, prognostic factors and outcomes of neuroblastoma in Ugandan children

Neuroblastoma (NB) is the most common extracranial solid tumor of childhood. The complete burden and outcomes in Uganda are unknown. The study was a multicenter retrospective chart review of children aged between 0 to 15 years diagnosed with NB from 2010 to 2020. Demographic, clinical and tumor-related characteristics were extracted for analysis. Kaplan-Meier survival curves and Cox regression models were used to determine the one-year overall survival (OS) and identify prognostic factors. Seventy-five patients were evaluated, with a median age at diagnosis of 48 months (IQR 26-108 months). Fever (74.7%), weight loss (74.7%), high blood pressure (70.3%) and abdominal swelling/mass (65.3%) were the most common features at diagnosis. Suprarenal tumors (52%) and stage 4 disease (70.7%) were also common. The one-year OS was 60.0% (95%CI 56.8%; 64.3%) with a median survival time of 12.6 months (95% CI: 8.1; 20.8). The one-year OS for non-metastatic and metastatic disease was 67.3% and 42.6% (p = 0.11) respectively. Leukocytosis (p < 0.001) at diagnosis was of prognostic significance while clinical remission after induction chemotherapy (p < 0.001) provided survival advantages. Children who received maintenance chemotherapy had a longer median survival time of 38.5 months (range 10.8–69.5). Age (p = 0.001), lung metastasis (p < 0.001), and leukocytosis (p < 0.001) remained significant on multivariate analysis. In this Ugandan study, leukocytosis was a clinical predictor of prognosis, metastatic disease had management challenges and maintenance chemotherapy prolonged the survival time but not OS.

Association of Image-Defined Risk Factors with Clinical, Biological Features and Outcome in Neuroblastoma.

Neuroblastoma (NB) is the most common pediatric extracranial solid tumor and the most common cancer encountered in children younger than 12 months of age. Localized tumors have a good prognosis, but some cases undergo treatment failure and recurrence. The aim of the study was to analyze the link between the neuroblastoma risk factors and the prognosis for patients diagnosed with NB. All patients admitted to the department of Pediatric Surgery, "Grigore Alexandrescu" Clinical Emergency Hospital for Children, between 1 January 2010 and 1 July 2022 were included in this analysis when diagnosed with neuroblastoma. Thirty-one patients with NB were admitted to the surgical department, 20 boys and 11 girls. We observed an association between large tumors and positive imaging-defined risk factor (IDRF) status; The Fisher test showed an association between the tumor's diameter when bigger than 8 cm and a positive IDRF status, with p &lt; 0.001. We supposed that positive IDRF status at diagnosis may be linked to other prognostic factors. We discovered that an NSE value over 300 was associated with IDRF status (p &lt; 0.001, phi = 0.692) and death. This study confirms the impact of IDRF status at diagnosis as it can be clearly correlated with other risk factors, such as a high level of NSE, MYCN amplification status, large tumor size, incomplete tumor resection, and an unfavorable outcome.