NBPF1 independently determine the risk stratification and prognosis of patients with neuroblastoma

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

PURPOSE

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.

METHODS

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.

RESULTS

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.

CONCLUSION

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.

Contrast computed tomography-based radiomics is correlation with COG risk stratification of neuroblastoma

PURPOSE

Although a risk stratification strategy for neuroblastoma (NB) has been proposed, precise and convenient clinical risk estimation remains challenging. This study aimed to investigate the correlation of contrast computed tomography (CT)-based radiomics with NB risk stratification.

METHODS

Patients with NB (n = 289) from two centers (244 and 45 patients in the training/testing and external validation cohorts, respectively) were divided into nonhigh- and high-risk groups. A total of 1648 radiomics features were extracted from the arterial phase, and the radiomics signature was constructed using rad scores, whereas the clinical model was established based on clinical factors. Further, a combined nomogram was developed based on the clinical factors and radiomics signatures. Finally, receiver operating characteristic curve and decision curve analyses (DCA) were used to assess the performance of the established models.

RESULTS

Seventeen radiomics features were used to construct the radiomics signature. A significant difference was observed in the rad score between the two groups in the training (0.540 vs. 0.704, P < 0.001) and testing (0.563 vs. 0.969, P < 0.001) cohorts. The nomogram showed a higher area under the curve (AUC) in the training (AUC = 0.87), testing (AUC = 0.83), and external validation (AUC = 0.84) cohorts than other models. The Hosmer-Lemeshow test and calibration curves indicated that the nomogram fit perfectly. DCA demonstrated that the clinical-radiomics nomogram was more beneficial.

CONCLUSIONS

Contrast CT-based radiomics shows correlation with COG risk stratification of NB. Radiomics features combined with clinical factors showed the best performance, which may improve the management of patients with NB.

Exome sequencing reveals novel rare variants in Iranian familial multiple sclerosis: The importance of POLD2 in the disease pathogenesis

The prevalence of familial multiple sclerosis (FMS) is increasing worldwide which endorses the heritability of the disease. Given that many genome variations are ethnicity-specific and consanguineous marriage could affect genetic diseases, hereditary disease gene analysis among FMS patients from Iran, a country with high rates of parental consanguinity, could be highly effective in finding mutations underlying disease pathogenesis. To examine rare genetic mutations, we selected three Iranian FMS cases with ≥3 MS patients in more than one generation and performed whole exome sequencing. We identified a homozygous rare missense variant in POLD2 (p. Arg141Cys; rs372336011). Molecular dynamics analysis showed reduced polar dehydration energy and conformational changes in POLD2 mutant. Further, we found a heterozygote rare missense variant in NBFP1 (p. Gly487Asp; rs778806175). Our study revealed the possible role of novel rare variants in FMS. Molecular dynamic simulation provided the initial evidence of the structural changes behind POLD2 mutant.