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Journal of Clinical Oncology logoLink to Journal of Clinical Oncology
. 2014 Mar 24;32(12):1228–1235. doi: 10.1200/JCO.2013.53.6342

Metastatic Neuroblastoma Confined to Distant Lymph Nodes (stage 4N) Predicts Outcome in Patients With Stage 4 Disease: A Study From the International Neuroblastoma Risk Group Database

Daniel A Morgenstern 1, Wendy B London 1, Derek Stephens 1, Samuel L Volchenboum 1, Barbara Hero 1, Andrea Di Cataldo 1, Akira Nakagawara 1, Hiroyuki Shimada 1, Peter F Ambros 1, Katherine K Matthay 1, Susan L Cohn 1, Andrew DJ Pearson 1, Meredith S Irwin 1,
PMCID: PMC4876342  PMID: 24663047

Abstract

Purpose

The presence of distant metastases is one of the most powerful predictors of outcome in patients with neuroblastoma. However, the pattern of metastatic spread is not incorporated into current risk stratification systems. Small case series have suggested that patients with neuroblastoma who have metastatic disease limited to distant lymph nodes (4N disease) may have improved outcomes.

Patients and Methods

We analyzed retrospective data from the International Neuroblastoma Risk Group database for patients diagnosed from 1990 to 2002. 4N patients were compared with the remaining stage 4 patients (non-4N), excluding those with missing metastatic site data.

Results

In all, 2,250 International Neuroblastoma Staging System stage 4 patients with complete data were identified, of whom 146 (6.5%) had 4N disease. For 4N patients, event-free survival (EFS; 5-year, 77% ± 4%) and overall survival (OS; 5-year, 85% ± 3%) were significantly better than EFS (5-year, 35% ± 1%) and OS (5-year, 42% ± 1%) for non-4N stage 4 patients (P < .001). 4N patients were more likely to be younger (P < .001) and have tumors with favorable characteristics, including absence of MYCN amplification (89% v 69%; P < .001). In a multivariable analysis, 4N disease remained a significant predictor of outcome (hazard ratio for non-4N v 4N: 3.40 for EFS and 3.69 for OS). Within subgroups defined by age at diagnosis and tumor MYCN status, 4N disease was significantly associated with improved outcomes.

Conclusion

4N represents a subgroup with better outcome than that of other patients with metastatic disease. These findings suggest that the biology and treatment response of 4N tumors differ from other stage 4 tumors, and less intensive therapy should be considered for this cohort. Future exploration of biologic factors determining the pattern of metastatic spread is warranted.

INTRODUCTION

Risk stratification is a key principle of current neuroblastoma treatment protocols, and therapy is determined by prognostic factors, including patient age, tumor stage, histology, ploidy, and MYCN amplification (MNA) status.1 The value of incorporating additional genetic markers (ie, segmental chromosome aberrations [SCAs] such as loss of 11q) is currently being explored. Patients older than age 18 months with metastatic (stage 4) disease, most commonly involving bone and bone marrow, typically have a poor prognosis despite intensive multimodal therapy.1 Although the prognostic significance of metastatic spread to specific sites has not been extensively studied, case reports and small case series have raised the possibility that patients with metastatic disease confined to distant lymph nodes (4N disease; previously IV-N) may have a better outcome.26

In a single-institution series of six patients with Evans stage IV neuroblastoma and extensive lymph node metastases but no extranodal disease, three patients were long-term survivors in comparison to none of the 40 patients with standard stage IV disease (extranodal involvement).2 Subsequently, Yamada et al3 reported 52 patients with stage III to IV disease, of whom eight had N3 disease (distant nodal involvement). Three of these had metastatic disease that was limited to nodal sites. Among patients with stage IV disease, there was a trend toward better overall survival (OS) in those with N3 disease compared with other groups. There was also a trend toward an association between N3 stage IV disease and the absence of MNA (zero of four MNAs) compared with other stage IV patients (11 of 22 MNAs). Abramson et al4 reported a series of eight patients with abdominal primary tumors and specific distant node involvement of the left supraclavicular lymph nodes (Virchow's node). Four were long-term survivors (3 to 11 years). In a separate case report, a 10-year-old patient with stage IV-N, non-MNA neuroblastoma was also a long-term survivor.5 In an analysis of the prognostic impact of different metastatic sites in 434 patients older than 1 year of age with stage 4 neuroblastoma, 11 patients (2.5%) had 4N disease, with a nonsignificant trend toward improved event-free survival (EFS) for these individuals.6 Loss of heterozygosity (LOH) at 19q13 has been suggested as a marker for locoregional disease with reported increased frequency in patients with stage 3 or stage 4N disease.7 In that series, 19q LOH was detected in four (67%) of six stage 4N patients but in only four (7%) of 55 non-4N stage 4 patients. Finally, in an analysis of 218 patients with stage 4 disease treated with high-dose chemotherapy and stem-cell rescue, Hartmann et al8 reported the absence of bone marrow metastases at diagnosis as a favorable prognostic marker, although it is important to note that these patients cannot be formally identified as stage 4N (ie, they may have had extralymphatic metastases to other sites).

The International Neuroblastoma Risk Group (INRG) database brings together patient data from groups in North America, Europe, Australia, and Japan and is the largest single source of data on neuroblastoma, containing information on more than 8,800 children.1 This resource therefore provides a unique opportunity to establish whether stage 4N neuroblastoma represents a defined subgroup of patients with metastatic disease and to examine differences in prognostic factors and outcome for this rare cohort.

PATIENTS AND METHODS

Patient Cohort

The INRG database includes data from the Children's Oncology Group (COG; North America/Australia), Society of Paediatric Oncology European Neuroblastoma Group (SIOPEN; predominantly Europe), German, and Japanese cooperative study groups. Patients age younger than 21 years with pathologically confirmed neuroblastoma diagnosed between January 1, 1990, and December 31, 2002, are currently included. Of the total 8,800 patients, 3,244 (37%) had stage 4 disease. Of these, 994 were excluded because of incomplete or inconsistent metastatic site data, leaving 2,250 patients in the final analytic cohort (26% of all patients in the database). Patient age, site of primary tumor, and follow-up data were available for all patients. Other variables, including serum ferritin, lactate dehydrogenase (LDH), MNA, and cytogenetic characteristics, were analyzed for those patients for whom data were available. Histology was classified as favorable or unfavorable according to International Neuroblastoma Pathology Classification (INPC) or the Shimada system.1,9 The cohort of 4N patients was defined as those with positive distant lymph nodes, but no bone marrow, bone, liver, lung, CNS, skin, or other metastatic disease. Patients with missing or unknown pattern of metastatic disease were excluded. The INRG uses International Neuroblastoma Staging System (INSS)10 or Evans stage11 if INSS unknown, as the staging criteria.1,12 Consequently, patients with regional lymph node involvement were not considered to have metastatic disease and thus do not meet criteria for inclusion in this analysis.

Statistical Methods

Time to event for EFS was defined as time from diagnosis to first relapse, progression, second malignancy, or death or until time of last contact if no event occurred. Time to event for OS was similarly defined as time from diagnosis to death or time of last contact if patient was alive. Estimates for 5-year EFS and OS were generated by using the Kaplan-Meier method, and curves were compared by using a log-rank test.13 For univariable analyses to identify factors prognostic of EFS or OS, a 5% significance level was used without adjustment for multiple testing, except for primary tumor site for which Sidak adjustment for multiple comparisons was used. Patient characteristics and prognostic factors were compared by using t test or Mann-Whitney U test for continuous variables and Fisher's exact test or χ2 test for binary or other categorical variables as appropriate. Variables such as age, LDH, and ferritin were dichotomized as per previous INRG database analyses.1,14 Cox proportional hazards regression models were used to identify the most significant factors prognostic of outcome in multivariable analyses.

RESULTS

Stage 4N Cohort

Data from 3,244 patients with stage 4 disease from the INRG database were analyzed. Those with missing or inconsistent data relating to metastatic site (n = 994) were excluded, leaving a final cohort of 2,250 patients. Comparison of EFS and OS showed that these excluded patients had a significantly worse outcome compared with the final analytic cohort (P = .0024 for EFS; P < .001 for OS; Figure A1, online only). Of the final group, 146 (6.5%) had a 4N pattern of disease (metastatic spread limited to distant lymph nodes), and the remaining 2,104 non-4N stage 4 patients served as the comparison cohort. For the 4N patients, estimated 5-year EFS and OS were 77% ± 4% and 85% ± 3%, both significantly better than those for non-4N stage 4 patients (EFS, 35% ± 1%; OS, 42% ± 1%; P < .001 for both EFS and OS; Fig 1). Comparison of clinical features demonstrated important differences between the two groups (Table 1; Appendix Table A1, online only). Stage 4N patients were younger (median age, 423 v 929 days; P < .001) and had tumors with more favorable histology, including INPC/Shimada histologic classification, grade of tumor differentiation, and mitosis karyorrhexis index (MKI). MNA was less frequent in stage 4N patients (11% v 31%; P < .001). Other cytogenetic features, including ploidy, 1p or 11q loss, or 17q gain, were not significantly different between the 4N and non-4N groups, although data were unavailable for many patients (see Appendix, online only). Patients with 4N disease were less likely to have an adrenal primary (40% v 60% P < .001) and more likely to have a thoracic tumor (26% v 10%; P < .001), consistent with increased frequency of thoracic primary tumors in patients age younger than 547 days.15 Within the total stage 4 population, primary tumor was thoracic in 15% of patients age younger than 547 days versus 9.9% in those age ≥ 547 days (P < .001). Consistent with the more favorable outcome observed, 4N patients also had lower mean serum ferritin (147 v 324 ng/mL; P < .001) and LDH (1,207 v 1,763 U/L; P = .0192). Year of diagnosis was earlier for patients with 4N disease, with 77% diagnosed before 1996 (v 63% for non-4N patients; P < .001). In terms of therapy, 4N patients were less likely to receive intensive initial therapy than non-4N patients; therefore treatment differences are unlikely to account for the improved outcome of the 4N group (Appendix Table A2, online only).

Fig 1.

Fig 1.

Patients with stage 4 neuroblastoma. (A) Event-free survival and (B) overall survival curves for patients with 4N disease (metastatic spread limited to distant lymph nodes) versus the balance of stage 4 patients (non-4N). P < .001 for both event-free and overall survival. The numbers of patients at risk for an event are shown along the curves at years 4 and 8.

Table 1.

Comparison of Characteristics for 4N and Non-4N Stage 4 Patients

Characteristic 4N (n = 146)
Non-4N (n = 2,104)
P
No. % No. %
Age
    Median, days 423 929 < .001
    < 18 months 85 58 640 30
    ≥ 18 months 61 42 1,464 70 < .001
Year of diagnosis
    1990-1995 113 77 1,314 62
    1996-2002 33 23 790 38 < .001
Ferritin/LDH (± SD)
    Mean ferritin, ng/mL 147 ± 261 324 ± 461 < .001
    Mean LDH, U/L 1,207 ± 1,859 1,763 ± 2,236 .0192
Histologic category
    Favorable 45 63 219 26
    Unfavorable 27 37 609 74 < .001
Histologic grade
    Differentiating 9 21 44 8
    Undifferentiated/poorly differentiated 33 79 537 92 .0058
MKI
    Low 28 76 240 45
    Intermediate 6 16 158 29
    High 3 8 138 26 .0011
MYCN status
    Nonamplified 120 89 1,145 69
    Amplified 15 11 511 31 < .001
Cytogenetics
    Ploidy
        Hypodiploid/diploid 22 27 231 38
        Hyperdiploid 60 73 385 62 .0666
    1p loss
        Yes 7 35 183 36
        No 13 65 318 64 1.0
    17q gain
        Yes 3 50 100 64
        No 3 50 57 36 .6703
    11q loss
        Yes 3 30 114 42
        No 7 70 154 58 .5270
Site of primary*
    Adrenal 59 40 1273 60 < .001
    Abdomen 38 26 498 24 N/S
    Neck 6 4 25 1 N/S
    Thorax 38 26 220 10 < .001
    Pelvis 3 2 28 1 N/S
    Other 4 2 78 4 N/S
Initial treatment
    None/surgery/conventional 71 77 502 30
    Intensive ± SCT 21 23 1168 70 < .001

Abbreviations: LDH, lactate dehydrogenase; MKI, mitosis karyorrhexis index; N/S, not significant; SCT, stem cell transplantation; SD, standard deviation.

*

A small number of patients had primary tumors in multiple sites; therefore, totals vary from actual number of individual patients.

P values corrected by using Sidak adjustment for multiple comparisons.

The importance of the 4N pattern of disease as a prognostic factor was explored in a multivariable analysis by using Cox proportional hazards. A model incorporating known prognostic variables (INSS stage, age, MYCN status, year of diagnosis, serum ferritin, and LDH) for which adequate data were available (n = 952) confirmed that stage 4N is independently statistically significantly prognostic of improved EFS and OS after adjusting for these variables (Table 2). Similar results were obtained after the incorporation of histology, ploidy, grade, MKI, and 11q, 1p, and 17q status into the model, each with a category for unknown (Appendix Table A3, online only). The Cox model was also used to calculate the hazard ratios for stage 4N versus non-4N (range, 0.24 to 0.36) when tested individually with each prognostic factor in separate models (Appendix Table A4, online only).

Table 2.

Multivariable Cox Proportional Hazards Models (one model for EFS and one for OS) in 952 Patients Who Had Complete Data

Risk Factor* EFS
OS
HR 95% CI P HR 95% CI P
Stage
    4N disease 1 1
    Non-4N disease 3.40 2.00 to 5.81 < .001 3.69 2.02 to 6.71 < .001
Year of diagnosis
    1996-2002 1 1
    1990-1995 1.29 1.09 to 1.51 < .001 1.34 1.13 to 1.59 < .001
Age at diagnosis, days
    < 547 1 1
    ≥ 547 2.16 1.74 to 2.68 < .001 2.25 1.79 to 2.84 < .001
MYCN amplification
    Nonamplified 1 1
    Amplified 1.76 1.47 to 2.10 < .001 1.93 1.60 to 2.32 < .001
Serum ferritin, ng/mL
    < 92 1 1
    ≥ 92 1.54 1.26 to 1.89 < .001 1.48 1.19 to 1.84 < .001
Serum LDH, U/L
    < 580 1 1
    ≥ 580 1.32 1.08 to 1.60 .0062 1.58 1.27 to 1.95 < .001

Abbreviations: EFS, event-free survival; HR, hazard ratio; LDH, lactate dehydrogenase; OS, overall survival.

*

Other risk factors (histology, grade, mitosis karyorrhexis index, and ploidy) were not included in the model because missing data dramatically reduced the sample size and the model became uninformative.

Prognostic Factors Within 4N Cohort

Many of the factors previously reported to affect outcome within the whole neuroblastoma population were also prognostic when examined within the 4N cohort (Table 3). Most significant in a univariable analysis for factors determining OS were patient age (using a cutoff at 547 days14; P < .001), tumor MNA status (P < .001), and INPC/Shimada histology classification (P < .001). Serum ferritin, LDH, tumor MKI, and initial treatment were also significant at the 5% level. Year of diagnosis was not correlated with outcome within the 4N cohort.

Table 3.

Univariable Analyses of Prognostic Factors for 4N Patients

Characteristic Total
5-Year EFS
5-Year OS
No. % % SE P % SE P
Overall patients 146 77 4 85 3
Age, days
    < 547 85 58 91 3 < .001 98 2 < .001
    ≥ 547 61 42 59 6 69 6
Year of diagnosis
    1990-1995 113 77 78 4 .7646 86 3 .5466
    1996-2002 33 23 77 8 82 8
MYCN status
    Nonamplified 120 89 81 4 .0172 90 13 < .001
    Amplified 15 11 64 13 63 3
Ferritin, ng/mL
    < 92 38 49 89 6 .0012 93 5 .0021
    ≥ 92 39 51 62 8 70 8
LDH, U/L
    < 580 43 46 79 7 .1842 92 4 .0273
    ≥ 580 50 54 73 7 74 7
Ploidy
    Hyperdiploid 60 73 82 5 .2485 89 4 .0776
    Diploid/hypodiploid 22 27 73 10 73 11
Histology
    Favorable 45 62 89 5 .0127 98 2 < .001
    Unfavorable 27 38 61 10 68 10
Histologic grade
    Differentiating 9 21 78 14 .9454 100 .0864
    Undifferentiated/poorly differentiated 33 79 74 8 76 8
MKI
    Low/intermediate MKI 34 92 79 7 .0407 87 6 .0062
    High MKI 3 8 33 27 33 27
Initial treatment
    None/surgery only 35 38 91 5 97 3
    Conventional chemotherapy 36 39 80 7 91 5
    Intensive ± SCT 21 23 59 11 .0065 69 10 .0024

Abbreviations: EFS, event-free survival; LDH, lactate dehydrogenase; MKI, mitosis karyorrhexis index; OS, overall survival; SCT, stem cell transplantation; SE, standard error.

Subgroup Analysis

Because age and presence of MNA are independently prognostic of outcome within the INSS stage 4 population and are used for risk stratification within current international studies, we further evaluated the prognostic significance of 4N disease pattern in four subgroups defined by patient age (cutoff, 547 days) and tumor MYCN status. 4N patients had significantly improved EFS and OS compared with non-4N patients in each subgroup (Fig 2), except for patients age younger than 547 days with MNA tumors, a subgroup in which there were only four stage 4N patients. For patients age younger than 547 days with non-MNA tumors, 5-year EFS and OS were 92% ± 3% and 99% ± 1% for 4N disease compared with 83% ± 2% and 88% ± 2% for non-4N disease (P = .03 and P = .004, respectively; Fig 2A). The differences were more pronounced for patients age ≥ 547 days with non-MNA tumors; estimated 5-year EFS and OS were 63% ± 8% and 74% ± 7% for those with 4N disease, both significantly better than for non-4N patients (EFS, 27% ± 2%; OS, 38% ± 2%; P < .001 for both EFS and OS; Fig 2B). Within this subgroup of patients age ≥ 547 days with non-MNA tumors, comparison of characteristics between 4N and non-4N patients revealed no differences in patient age or site of primary tumor. However, patients with 4N disease were more likely to have tumors with favorable histologic characteristics, including Shimada/INPC classification, grade, and MKI (Table 4). Insufficient data were available to allow comparison of tumor ploidy or incidence of SCAs between 4N and non-4N patients. Finally, in the subgroup of patients age ≥ 547 days with MNA tumors, 5-year EFS and OS were again better for 4N patients (both 64% ± 15%) than for non-4N patients (EFS, 17% ± 2% [P = .0133]; OS, 22% ± 2% [P = .0278]).

Fig 2.

Fig 2.

Event-free survival curves for patients with 4N versus non-4N disease for subgroups based on patient age at diagnosis and tumor MYCN status. (A) Patients age younger than 547 days with MYCN nonamplified tumors (hazard ratio [HR] for 4N disease, 0.51; 95% CI, 0.28 to 0.95; P = .03). (B) Patients age ≥ 547 days with MYCN nonamplified tumors (HR, 0.49; 95% CI, 0.36 to 0.67; P < .001). (C) Patients age ≥ 547 days with MYCN amplified tumors (HR, 0.50; 95% CI, 0.29 to 0.87; P = .013). The numbers of patients at risk for an event are shown along the curves at years 4 and 8.

Table 4.

Comparison of Characteristics for 4N and Non-4N Stage 4 Patients Age ≥ 547 Days at Diagnosis and With MYCN Nonamplified Tumors

Characteristic Stage 4N (n = 42)
Non-4N (n = 785)
P
No. % No. %
Age, years
    Median 3.6 3.8 .5344
    < 5 28 67 558 71
    ≥ 5 14 33 227 29 .6012
Year of diagnosis
    1990-1995 32 76 460 59
    1996-2002 10 24 325 41 .0241
Ferritin/LDH (± SD)
    Mean ferritin, ng/mL 122 ± 153 349 ± 421 .0194
    Mean LDH, U/L 1032 ± 2361 1077 ± 1290 .8740
Ploidy
    Hypodiploid/diploid 7 37 103 42
    Hyperdiploid 12 73 144 58 .8107
Histologic category
    Favorable 10 45 33 10
    Unfavorable 12 55 285 90 < .001
Histologic grade
    Differentiating 5 45 15 8
    Undifferentiated/poorly differentiated 6 55 179 92 .0017
MKI
    Low 10 91 95 52
    Intermediate 1 9 60 33
    High 0 28 15 .0397
Initial treatment
    None/surgery/conventional 18 72 120 19
    Intensive ± SCT 7 28 502 81 < .001

Abbreviations: LDH, lactate dehydrogenase; MKI, mitosis karyorrhexis index; SCT, stem cell transplantation; SD, standard deviation.

DISCUSSION

Numerous prognostic factors for neuroblastoma have been identified, including patient characteristics (particularly age at diagnosis), disease extent (INSS stage), and tumor biology. The most significant predictive genetic factors are MNA1,16 and SCAs, including 1p and 11q deletions.17,18 For patients with stage 4 disease, the pattern of metastatic spread may also influence outcome, and several case reports and small case series have suggested that patients with only distant nodal metastatic involvement (4N disease) may have better outcomes.25 Although an analysis of the prognostic significance of specific metastatic sites demonstrated that the presence of bone marrow metastases was predictive of poor outcome,19 this report did not examine outcomes for patients with disease limited to a particular metastatic site, such as lymph nodes.

The INRG database represents the largest data set for patients with neuroblastoma, and the analysis presented here provides the most comprehensive analysis of 4N patients to date. These data demonstrate that patients with 4N disease have a markedly better outcome compared with other stage 4 patients. Although published cases suggested that 4N disease may be more common in older patients (median age of published cases, 4 years), this is not supported by our larger data set, in which more than half of 4N patients were infants age younger than 18 months. 4N disease is inversely correlated with MNA and, consequently, the prognostic significance of 4N disease can be at least partly explained by the association with younger age and absence of MNA—both factors strongly associated with improved outcome in stage 4 disease.1 Nevertheless, both the subgroup and multivariable analyses confirm that 4N disease remains independently associated with improved outcome even after adjusting for age and MYCN status. The hazard ratio for non-4N disease (compared with 4N) of approximately 3.5 for both EFS and OS is larger than for any of the other variables tested, which demonstrates that this metastatic pattern is powerfully prognostic of outcome within the stage 4 population. The overall frequency of 4N disease is low (6.5% of stage 4 patients); however, the risk reduction associated with 4N disease suggests that this metastatic pattern may need to be considered differently within the current risk stratification system. Recent efforts have attempted to identify subgroups of high-risk patients with the poorest outcomes, so-called “ultra-high-risk patients.” Our findings suggest that, in contrast, there may also be subsets of patients such as those with 4N disease in which further treatment intensification may not be warranted or treatment reduction may be considered. Current standard therapy for high-risk patients includes chemotherapy, surgery, myeloablative therapy with stem-cell rescue, radiotherapy, immunotherapy, and differentiation therapy and is associated with significant short- and long-term toxicities. The definition of high-risk disease has already undergone several revisions, with it long being recognized that infants (age younger than 12 months) with neuroblastoma have a considerably better outcome, even if presenting with metastatic disease.11 Consequently, these patients (provided their disease does not have MNA) are not considered high risk. More recently, the definition of high-risk disease has been further refined with those age 12 to 18 months with non-MNA metastatic disease (approximately 6% of all stage 4 patients) also excluded from the high-risk group.1,14 Patients older than age 18 months with 4N disease may represent another subgroup that could be reclassified.

The improved outcome for 4N patients likely represents underlying biologic differences in the tumor, with pattern of metastatic spread being a surrogate marker for these differences. Comparison of histologic features between 4N and non-4N populations (within both the entire cohort and in subgroups of patients age ≥ 547 days and without MNA) confirmed that 4N disease is associated with differentiating grade, low MKI, and favorable histology, all characteristics of a more favorable tumor biology.20 Ultimately, these variables likely reflect underlying genetic and chromosomal abnormalities, and 4N tumors may have a specific pattern of these abnormalities that distinguish them from other stage 4 neuroblastoma. There is limited cytogenetic information within the current INRG data set, and numbers were insufficient to demonstrate associations among 1p and 11q loss, 17q gain, or other SCAs and the 4N pattern of disease (see Appendix). Many preclinical studies and gene expression analyses in cancers, including breast cancer and melanoma, have demonstrated that specific messenger RNA expression signatures predict patterns or sites of metastases (eg, CNS v bone), lending insight into the molecular mechanisms governing metastases.21 Future studies to explore genomic and gene expression differences between 4N and non-4N tumors are planned and may provide important insights into the pathways regulating metastatic spread and organ-specific tropisms in neuroblastoma.

In addition to underlying biologic differences, consideration must also be given to potential confounders in explaining the improved outcome of 4N disease. For this analysis, patients with any missing metastatic site data were excluded. Comparison of EFS and OS showed that these excluded patients had a significantly worse outcome than the whole final analytic cohort (Appendix Figure A1). Thus, the observed differences between outcome for 4N and non-4N patients may be an underestimate because our analytic cohort represents a group with a better outcome than unselected stage 4 patients. Although the ideal analysis would have been conducted with all stage 4 patients, this was not feasible because 4N patients cannot be identified unless metastatic site data are known. In addition, patients within the INRG data set did not necessarily undergo a uniform set of investigations. In particular, although metaiodobenzylguanidine scintigraphy (MIBG scintigraphy) is now routinely used to characterize metastatic spread of neuroblastoma, the database includes patients diagnosed in the early 1990s, at which time the use of MIBG imaging was not universal. It is possible that without MIBG imaging, metastatic sites may not have been detected, leading to the understaging of patients as having 4N disease. Indeed, the frequency of 4N disease is greater among patients diagnosed before 1996 (7.9% v 4.0% for those diagnosed from 1996 to 2002; P < .001), suggesting that increased imaging sensitivity has led to identification of more metastatic sites of disease. However, any understaging of stage 4 patients as 4N would serve to reduce the observed effect size, non-4N patients having a worse prognosis than 4N patients. Furthermore, any bias introduced by 4N disease being more frequent in the early diagnostic period (1990 to 1995) would be countered by improved prognosis overall for later diagnostic years.1 Consequently, both factors would be anticipated to reduce, rather than increase, the effect size for 4N favorable outcome.

In conclusion, for patients with metastatic spread limited to distant lymph nodes, our data support use of this pattern as a prognostic factor. For those with 4N disease, outcome in terms of both EFS and OS is significantly better than for other stage 4 patients. Consideration should therefore be given to whether these 4N patients might be eligible for different classification in the current risk stratification system. In particular, they may not require further therapeutic escalation that is likely necessary to improve outcomes for the remaining high-risk stage 4 groups (those age ≥ 547 days or infants with metastatic MNA disease) and thus may reduce adverse late effects in these patients. Of further interest is the likelihood that the tumors of patients with 4N disease are biologically distinct. The data presented here indicate that MNA is particularly uncommon within the 4N group. Insufficient data limit the analysis of the potential role of established SCAs.22 However, future studies comparing chromosomal aberrations, messenger RNA expression profiles, and host genetic factors may reveal valuable insights into the processes governing neuroblastoma metastatic spread.

Acknowledgment

We acknowledge the assistance of James Whitlock, MD, and the Women's Auxiliary Millennium Chair in Hematology/Oncology for facilitating statistical support.

Glossary Terms

event-free survival:

calculated from the date of diagnosis to the date of the first event, which is resistance, relapse, death, or second malignant neoplasm.

loss of heterozygosity

a situation in which one chromosome has a normal allele of a gene and one chromosome has a mutant or deleted allele.

MIBG scintigraphy:

a nuclear medicine scan using iodine-123 metaiodobenzylguanidine (MIBG) scintigraphy to identify neuroblastoma or pheochromocytoma lesions.

overall survival:

the duration between random assignment and death.

Appendix

Future Development of the International Neuroblastoma Risk Group Database

The International Neuroblastoma Risk Group (INRG) database includes information relating to 36 prognostic variables for more than 11,500 children with neuroblastoma enrolled onto studies conducted in North America, Europe, Japan, and Australia between 1974 and 2002. Most published analyses, including the INRG classification system itself,1 are based on the subset of 8,800 patients diagnosed between 1990 and 2002. The aim is to update the follow-up data on the existing patients in the INRG database and to import the next set of data for patients diagnosed after 2002. For this cohort, more genomic and detailed treatment information will be included in the INRG database. In addition, the data are now available through a Web-based interface with an advanced query engine and technology that facilitates linkage with other databases, both on- and off-site. This will greatly improve the consistency in collection of data regarding sites of disease and other elements. We have successfully established a link to the Children's Oncology Group Biobank and are in the process of connecting to databases that contain host and tumor genomic information. This Interactive INRG database (iINRGdb) will provide a resource for complex biologic studies based on data generated from genome-wide assays and next-generation sequencing.

Table A1.

Comparison of Characteristics for 4N and Non-4N Stage 4 Patients and Those Stage 4 Patients Excluded From the Final Analysis Because of Missing/Inconsistent Metastatic Site Data

Characteristic 4N (n = 146)
Non-4N (n = 2,104)
Excluded (n = 994)
P Excluded v 4N P Excluded v Non-4N
No. % No. % No. %
Age
    Median, days 423 929 932
    < 18 months 85 58 640 30 259 26
    > 18 months 61 42 1,464 70 735 74 < .001 .0141
Year of diagnosis
    1990-1995 113 77 1,314 62 313 31
    1996-2002 33 23 790 38 681 69 < .001 < .001
Ferritin/LDH (± SD)
    Mean ferritin, ng/mL 147 ± 261 324 ± 461 360 ± 708 .0093 N/S
    Mean LDH, U/L 1,207 ± 1,859 1,763 ± 2,236 2,893 ± 4,284 < .001 < .001
Histologic category
    Favorable 45 63 219 26 98 24
    Unfavorable 27 37 609 74 303 76 < .001 N/S
Histologic grade
    Differentiating 9 21 44 8 24 5
    Undifferentiated/poorly differentiated 33 79 537 92 503 95 < .001 .0444
MKI
    Low 28 76 240 45 217 50
    Intermediate 6 16 158 29 101 23
    High 3 8 138 26 117 27 .0073 N/S
MYCN status
    Nonamplified 120 89 1,145 69 453 67
    Amplified 15 11 511 31 223 33 < .001 N/S
Cytogenetics
    Ploidy
        Hypodiploid/diploid 22 27 231 38 231 50
        Hyperdiploid 60 73 385 62 233 50 < .001 < .001
    1p loss
        Yes 7 35 183 36 83 43
        No 13 65 318 64 112 57 N/S N/S
    17q gain
        Yes 3 50 100 64 1
        No 3 50 57 36 0 N/S N/S
    11q loss
        Yes 3 30 114 42 36 33
        No 7 70 154 58 72 67 N/S N/S
Site of primary*
    Adrenal 59 40 1,273 60 554 60 < .001 N/S
    Abdomen 38 26 498 24 189 20 N/S N/S
    Neck 6 4 25 1 11 1 N/S N/S
    Thorax 38 26 220 10 57 6 < .001 .0018
    Pelvis 3 2 28 1 6 1 N/S N/S
    Other 4 2 78 4 109 12 .0018 < .001
Initial treatment
    None/surgery/conventional 71 77 502 30 73 11
    Intensive ± SCT 21 23 1,168 70 567 89 < .001 < .001

NOTE. The excluded patients are similar to the non-4N group on the basis of similar clinical and biological characteristics (age, ferritin, histology, mitosis karyorrhexis index [MKI], and MYCN status) and as reflected by their worse overall outcomes (Fig A1). They also have characteristics that correlate with aggressive disease (lactate dehydrogenase [LDH], grade, ploidy) and that are detected more commonly in the non-4N cohort. Thus, this analysis suggests that the excluded patients are unlikely to include substantial numbers of 4N patients. Furthermore, the fact that these excluded patients have a worse outcome than the final cohort would serve to reduce the observed effect of more favorable outcome for the 4N patients compared with the non-4N group. Thus, the exclusion of these 994 patients with incomplete data does not lead to a more pronounced effect.

Abbreviations: LDH, lactate dehydrogenase; MKI, mitosis karyorrhexis index; N/S, not significant; SCT, stem cell transplantation; SD, standard deviation.

*

A small number of patients had primary tumors in multiple sites; therefore, totals vary from actual number of individual patients.

P values corrected by using Sidak adjustment for multiple comparisons.

Table A2.

Comparison of Treatment Approaches for 4N and Non-4N Patients

Treatment Category* 4N (n = 146)
Non-4N (n = 2,104)
P
No. % No. %
Observation only 34 37 14 1 < .001
Surgery only 1 1 24 1 N/S
Conventional chemotherapy ± surgery 36 39 464 28 N/S
Intensive multimodal therapy, specific type unknown 7 8 265 16 N/S
Intensive multimodal therapy, no SCT 5 5 354 21 < .001
Intensive multimodal therapy plus SCT 9 10 549 33 < .001

NOTE. INRG data relating to treatment regimens must be interpreted with caution since patients included within the database were managed by several different cooperative groups during different periods, and a variety of clinical trials and protocols were used. Nevertheless, these data demonstrate that patients with 4N disease were significantly more likely than non-4N patients to be managed with observation alone, and non-4N patients were significantly more likely to receive intensive chemotherapy ± SCT. Consequently, the observed better outcome for 4N patients is not the result of more intensive treatment for this group.

Abbreviations: INRG, International Neuroblastoma Risk Group; N/S, not significant; SCT, stem-cell transplantation.

*

Treatment categories are according to INRG classification.

P values corrected using Sidak adjustment for multiple comparisons.

Table A3.

Multivariable Cox Proportional Hazards Model of EFS in the Overall Cohort of 2,250 Patients

Risk Factor* HR 95% CI P
Disease stage
    4N 1
    Non-4N 2.86 2.01 to 4.07 < .001
Year of diagnosis
    1996-2002 1
    1990-1995 1.28 1.13 to 1.45 < .001
Age at diagnosis, days
    < 547 1
    ≥ 547 1.89 1.64 to 2.19 < .001
MYCN amplification
    Nonamplified 0.68 0.59 to 0.78 < .001
    Amplified 1.30 1.11 to 1.51 .001
    Unknown 1
Serum ferritin, ng/mL
    < 92 0.77 0.63 to 0.95 .0124
    ≥ 92 1.30 1.12 to 1.51 < .001
    Unknown 1
Serum LDH, U/L
    < 580 0.74 0.61 to 0.89 .002
    ≥ 580 0.95 0.80 to 1.12 .5483
    Unknown 1
Histology
    Favorable 0.39 0.29 to 0.52 < .001
    Unfavorable 1.10 0.97 to 1.25 .1321
    Unknown 1

NOTE. To permit inclusion of all patients within the multivariable model, a dummy variable was created for unknown category of each factor for which there were missing data.

Abbreviations: EFS, event-free survival; HR, hazard ratio; LDH, lactate dehydrogenase.

*

Initial model also included ploidy, grade, mitosis karyorrhexis index, 1p loss, 17q gain, and 11q loss.

Table A4.

Univariable Cox Models of EFS Testing the Presence of Stage 4N Disease With Adjustment for Each Other Variable

Variable No. For Comparator Variable
For Stage 4N (v non-4N)
HR 95% CI P HR 95% CI P
Total 2,250 0.24 0.17 to 0.34 < .001
Age, days 2,250
    ≥ 547 2.59 2.26 to 2.98 < .001 0.29 0.20 to 0.42 < .001
    < 547 1
Year of diagnosis 2,250
    1996-2002 0.80 0.71 to 0.90 < .001 0.23 0.16 to 0.32 < .001
    1990-1995 1
MYCN status 1,791
    Amplified 2.31 2.04 to 2.62 < .001 0.26 0.17 to 0.37 < .001
    Nonamplified 1
Ferritin, ng/mL 1,255
    ≥ 92 2.32 1.94 to 2.77 < .001 0.31 0.19 to 0.50 < .001
    < 92 1
LDH, U/L 1,447
    ≥ 580 1.76 1.52 to 2.04 < .001 0.28 0.18 to 0.43 < .001
    < 580 1
Histologic category 900
    Unfavorable 5.25 3.95 to 6.96 < .001 0.36 0.22 to 0.61 < .001
    Favorable 1
Histologic grade 623
    Differentiating 0.58 0.37 to 0.93 .0225 0.32 0.17 to 0.60 < .001
    Undifferentiated or poorly differentiated 1
MKI 573
    High 1.77 1.40 to 2.25 < .001 0.33 0.17 to 0.65 .0011
    Low or intermediate 1
Ploidy 698
    Hypodiploid/diploid 1.55 1.26 to 1.90 < .001 0.24 0.15 to 0.40 < .001
    Hyperdiploid 1
1p LOH 521
    Present 1.70 1.36 to 2.14 < .001 N/S .7061
    Absent 1
17q aberration (present v absent) 163 N/S .1602 N/S .3303
11q aberration (present v absent) 278 N/S .9971 N/S .3158

NOTE. Each table row is a separate model.

Abbreviations: EFS, event-free survival; HR, hazard ratio; LDH, lactate dehydrogenase; LOH, loss of heterozygosity; MKI, mitosis karyorrhexis index; N/S, not shown because not statistically significant.

Fig A1.

Fig A1.

(A) Event-free survival and (B) overall survival curves for final analytic cohort of stage 4 patients (n = 2,250) versus stage 4 patients excluded from analysis because of missing/inconsistent metastatic site data (n = 994). P = .0024 for event-free survival; P < .001 for overall survival.

Terms in blue are defined in the glossary, found at the end of this article and online at www.jco.org.

Presented at the 49th Annual Meeting of the American Society of Clinical Oncology, Chicago, IL, May 31-June 4, 2013.

Authors' disclosures of potential conflicts of interest and author contributions are found at the end of this article.

Support

Supported in part by Hospital for Sick Children Research Training Competition, Sears Fellowship, and Hospital Corporation of America International Foundation (D.A.M.), by Canada Research Chair and James Birrell Fund for Neuroblastoma Research (M.S.I.), by a grant from the Cancer Research United Kingdom Life Chair and Programme, and by the National Institute for Health Research Royal Marsden/Institute of Cancer Research Biomedical Research Centre (A.D.J.P.). The International Neuroblastoma Risk Group database is supported by Forbeck Foundation, Little Heroes Pediatric Cancer Foundation, Children's Neuroblastoma Cancer Foundation, St. Baldrick's Foundation, and Super Jake Foundation.

AUTHORS' DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST

The author(s) indicated no potential conflicts of interest.

AUTHOR CONTRIBUTIONS

Conception and design: Daniel A. Morgenstern, Wendy B. London, Katherine K. Matthay, Meredith S. Irwin

Financial support: Meredith S. Irwin

Administrative support: Susan L. Cohn, Meredith S. Irwin

Provision of study materials or patients: Barbara Hero, Andrea Di Cataldo, Akira Nakagawara, Susan L. Cohn, Meredith S. Irwin

Collection and assembly of data: Wendy B. London, Samuel L. Volchenboum, Barbara Hero, Akira Nakagawara, Hiroyuki Shimada, Susan L. Cohn, Andrew D.J. Pearson

Data analysis and interpretation: Daniel A. Morgenstern, Wendy B. London, Derek Stephens, Barbara Hero, Andrea Di Cataldo, Peter F. Ambros, Susan L. Cohn, Andrew D.J. Pearson, Meredith S. Irwin

Manuscript writing: All authors

Final approval of manuscript: All authors

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