Literature DB >> 35085004

Urinary 3-Methoxytyramine Is a Biomarker for MYC Activity in Patients With Neuroblastoma.

Iedan R N Verly1,2, Yvette A H Matser1,2, René Leen2, Rutger Meinsma2, Marta Fiocco1,3,4, Jan Koster5, Richard Volckmann5, Dilara Savci-Heijink6, Giuliana Cangemi7, Sebastiano Barco7, Linda J Valentijn5, Godelieve A M Tytgat1, André B P van Kuilenburg2.   

Abstract

PURPOSE: Elevated urinary 3-methoxytyramine (3MT) level at diagnosis was recently put forward as independent risk factor for poor prognosis in neuroblastoma. Here, we investigated the biologic basis underlying the putative association between elevated 3MT levels and poor prognosis.
METHODS: Urinary 3MT levels and prognosis were investigated in both retrospective Italian (N = 90) and prospective Dutch (N = 95) cohorts. From the Dutch Cancer Oncology Group cohort (N = 122), patients with available urinary 3MT and gene expression data (n = 90) were used to generate a 3MT gene signature. The 3MT gene signature score was then used to predict survival outcome in the Children's Oncology Group (N = 247) and German Pediatric Oncology Group (N = 498) cohorts and compared with other known gene signatures. Immunohistochemistry of MYCN and dopamine β-hydroxylase proteins was performed on primary tumors.
RESULTS: Elevated urinary 3MT levels were associated with poor prognosis in a retrospective cohort and a prospective cohort. Moreover, elevated urinary 3MT levels were associated with eight differentially expressed genes, providing a 3MT gene signature that successfully predicted poor clinical outcome. Even among low-risk patients, high 3MT signature score was associated with poor 5-year overall survival (72% v 99% among low-risk patients with a low 3MT signature score), and the 3MT signature score was correlated with MYC activity in the tumor (R = 82%, P < .0001). Finally, a strong MYCN and weak dopamine β-hydroxylase staining of tumors derived from patients with elevated urinary 3MT levels was observed, linking MYC activity in the tumor to both catecholamine biosynthesis and elevated urinary 3MT levels.
CONCLUSION: Elevated urinary 3MT is a promising biomarker for poor prognosis and reflects increased MYC activity in the tumor. Therefore, urinary 3MT levels should be measured at diagnosis and may assist in assessing risk.

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Year:  2022        PMID: 35085004      PMCID: PMC8830522          DOI: 10.1200/PO.20.00447

Source DB:  PubMed          Journal:  JCO Precis Oncol        ISSN: 2473-4284


INTRODUCTION

Neuroblastoma is the most common extracranial pediatric solid tumor, accounting for approximately 15% of pediatric cancer‒related deaths.[1] Patients with neuroblastoma are typically allocated into specific risk groups on the basis of a variety of factors such as the disease stage, the patient's age at diagnosis, and amplification of the MYCN gene (MNA).[2,3] These risk groups were originally developed to optimize the match between expected disease severity—defined as event-free survival (EFS) and overall survival (OS)—and treatment intensity.[2,3] Nevertheless, new risk factors that might be correlated more accurately with disease severity are continually being investigated to improve upon the existing models used to assess risk.[2-6] Currently, tumor biopsy is routinely performed to confirm the diagnosis and to obtain material for molecular diagnostics (eg, MYCN status).[7,8] However, because a biopsy typically represents only a portion of the entire tumor, it may not necessarily reflect the biologic state of the entire tumor.[9] By contrast, tumor biomarkers such as metabolites and cell-free nucleic acids can be detected in blood and/or urine samples, thereby providing a more complete clinical picture with respect to the entire tumor.[10-12]

CONTEXT

Key Objective Urinary 3-methoxytyramine (3MT) has been put forward as a novel independent biomarker for poor prognosis in patients with neuroblastoma. In this study, we investigated the biologic rationale of the association of elevated urinary 3MT levels with poor outcome. Knowledge Generated We demonstrated that elevated urinary 3MT levels were associated with eight differentially expressed genes, providing a 3MT gene signature, which successfully predicted poor clinical outcome. The 3MT signature score proved to be correlated with MYC activity in the tumor and MYC activity affected the catecholamine metabolism resulting in elevated urinary 3MT levels. Relevance 3MT is a promising biomarker for poor prognosis and reflects increased MYC activity in the tumor. Given the increasing availability of therapies that target MYC/MYCN signaling, analyzing urinary 3MT levels may help identify patients who would likely benefit from these therapies. We previously reported that elevated levels of urinary 3-methoxytyramine (3MT) at time of diagnosis are correlated with poor outcome in patients with neuroblastoma, independent of other risk factors such as disease stage, the patient's age, and MNA status when tested in multivariate analyses.[11] Furthermore, even among high-risk patients and patients with MNA, elevated urinary 3MT levels were able to accurately identify patients with significantly worse prognosis.[11] The biologic basis underlying the association between elevated 3MT levels and poor prognosis is currently unknown, given that 3MT levels were not correlated with tumor burden[11] and given that 3MT is a degradation metabolite of dopamine with no known biologic activity.[13] Here, we analyzed matched tumor gene expression profiles and urinary 3MT levels and demonstrated that urinary 3MT levels strongly reflect MYC activity in the tumor.

METHODS

Patient Cohorts

Urinary 3MT levels were analyzed in a retrospective Italian cohort (N = 90) and a prospective Dutch cohort (N = 95, Fig 1A; for additional information, see the Data Supplement). All urine samples were collected at diagnosis. Urinary 3MT was extracted and analyzed as described previously,[14] and elevated 3MT was defined as exceeding the published prognostic cutoff value of a > 2.9-fold change,[11] which is calculated as 3MT concentrations per mmol creatinine divided by the upper limit of the age-related reference range. The Dutch Cancer Oncology Group (DCOG) cohort (N = 122; GSE16476 and GSE73537, Fig 1B) was used to establish a correlation between urinary 3MT levels and gene expression data. In 32 patients of this DCOG cohort, urinary 3MT levels were not available. Urinary and outcome data of these 90 patients were included in a previous publication.[11] Patients from whom both urine and gene expression data were available were allocated into a DCOG test cohort (n = 64, GEO accession number GSE16476) and a DCOG validation cohort (n = 26, GSE73537) on the basis of the expression data set that contained the profiling of their primary tumor. To investigate the correlation between the 3MT gene signature and outcome, we used gene expression data (Fig 1C) from the previously published Children's Oncology Group (COG, N = 247[15]) and German Pediatric Oncology Group (GPOH, N = 498, GSE62564).[16] The clinical characteristics of all cohorts are described in the Data Supplement. This study was approved by the local medical ethics committee.
FIG 1.

Flow chart depicting the analyses and cohorts included in this study. (A) The retrospective Italian cohort and the prospective Dutch cohort used to validate the putative association between elevated urinary 3MT levels and poor clinical outcome. (B) The DCOG cohort (N = 122; GSE16476 and GSE73537) that was used to generate the 3MT gene signature, by differential expression of genes in patients with and without elevated urinary 3MT levels. As in 32 patients urinary 3MT was not measured, the remaining 90 patients with neuroblastoma with urinary 3MT and gene expression data were allocated into a test cohort and a validation cohort on the basis of the expression data set that contained the profiling of their primary tumor (n = 64 GSE16476 and n = 26 GSE73537, respectively). The relation of the 3MT high and low signature, determined by k-means analysis, was next studied in this cohort. (C) The COG cohort[15] and the GPOH cohort (GSE62564) that were used to confirm the correlation between the 3MT gene signature with prognosis and MYC activity. The numbers of patients of each data set are given in parentheses. All data sets are available via the R2 platform, GEO web site, and Target web site (COG). aThe Italian and Dutch cohorts were significantly different for age (P = .02), disease stage (P = .002), risk group (P = .013), MYCN status (P = .02), LOH1p (P ≤ .0001), and deceased patients (P = .01). bNo statistically significant differences were observed between the DCOG test and validation cohorts. cThe COG consisted of 87% high-risk and the GPOH of 37% high-risk patients. P values of all clinical characteristics are described in the Data Supplement. Statistical significance was evaluated using the chi-square test. 3MT, 3-methoxytyramine; COG, Children's Oncology Group; DCOG, Dutch Cancer Oncology Group; GPOH, German Pediatric Oncology Group; LOH1p, loss of heterozygosity of chromosome 1p.

Flow chart depicting the analyses and cohorts included in this study. (A) The retrospective Italian cohort and the prospective Dutch cohort used to validate the putative association between elevated urinary 3MT levels and poor clinical outcome. (B) The DCOG cohort (N = 122; GSE16476 and GSE73537) that was used to generate the 3MT gene signature, by differential expression of genes in patients with and without elevated urinary 3MT levels. As in 32 patients urinary 3MT was not measured, the remaining 90 patients with neuroblastoma with urinary 3MT and gene expression data were allocated into a test cohort and a validation cohort on the basis of the expression data set that contained the profiling of their primary tumor (n = 64 GSE16476 and n = 26 GSE73537, respectively). The relation of the 3MT high and low signature, determined by k-means analysis, was next studied in this cohort. (C) The COG cohort[15] and the GPOH cohort (GSE62564) that were used to confirm the correlation between the 3MT gene signature with prognosis and MYC activity. The numbers of patients of each data set are given in parentheses. All data sets are available via the R2 platform, GEO web site, and Target web site (COG). aThe Italian and Dutch cohorts were significantly different for age (P = .02), disease stage (P = .002), risk group (P = .013), MYCN status (P = .02), LOH1p (P ≤ .0001), and deceased patients (P = .01). bNo statistically significant differences were observed between the DCOG test and validation cohorts. cThe COG consisted of 87% high-risk and the GPOH of 37% high-risk patients. P values of all clinical characteristics are described in the Data Supplement. Statistical significance was evaluated using the chi-square test. 3MT, 3-methoxytyramine; COG, Children's Oncology Group; DCOG, Dutch Cancer Oncology Group; GPOH, German Pediatric Oncology Group; LOH1p, loss of heterozygosity of chromosome 1p.

Statistics and Bioinformatics

Median follow-up was calculated using the reverse Kaplan-Meier method. EFS and OS were calculated using the Kaplan-Meier method in combination with the log-rank test (SPSS version 25.0; IBM Corp, Armonk, NY). Multivariate analyses were performed using Cox proportional regression (SPSS). All gene expression data sets used in this study are available in the R2 bioinformatics platform,[17] and all analyses were performed using R2 (see the Data Supplement for further information). Using the DCOG test cohort (n = 64), gene expression was compared between patients with elevated and nonelevated urinary 3MT. Differentially expressed genes with P < .001, after correction for multiple testing (false discovery rate), were selected to form the 3MT gene signature. To test the accuracy of the 3MT gene signature, the DCOG validation cohort (n = 26) was divided into a high and low 3MT signature score using k-means analysis, which was subsequently compared with the actual urinary 3MT status. Finally, the 3MT gene signature scores were compared with the actual urinary 3MT status using Pearson's correlation.

Immunohistochemistry

Sections of primary tumor samples were stained for MYCN and dopamine β-hydroxylase (DBH) using standard immunohistochemistry methods as previously described.[12,18]

RESULTS

Validation of Urinary 3MT As a Prognostic Biomarker

First, we confirmed the association between elevated urinary 3MT levels at diagnosis and poor clinical outcome in the retrospective Italian and the prospective Dutch cohorts, which had a median follow-up of 4.9 years (interquartile range: 1.7-9.0 years) and 2.2 years (interquartile range: 1.2-3.1 years), respectively. In the retrospective Italian cohort, patients with elevated urinary 3MT levels had significantly worse EFS (Fig 2A) and OS (Fig 2C) compared with patients without elevated 3MT levels. Similarly, in the prospective Dutch cohort, both EFS (Fig 2E) and OS (Fig 2G) were significantly lower among the patients with elevated urinary 3MT levels. Multivariate analysis in the prospective Dutch cohort (Figs 2F and 2H) confirmed that elevated urinary 3MT is a novel risk factor for poor EFS (P = .003), independent of expected risk factors like disease stage, the patient's age, MNA status, and loss of heterozygosity of chromosome 1p. These results support the association between elevated urinary 3MT levels and poor clinical outcome in neuroblastoma. Multivariate analyses in the retrospective Italian cohort could not confirm the independence of 3MT as risk factor for EFS and OS (Figs 2B and 2D).
FIG 2.

Patients with elevated 3MT have reduced EFS and OS compared with patients without elevated 3MT. (A) Kaplan-Meier curve of EFS and (B) forest plot on the basis of the results of the multivariate analysis for EFS for patients in the retrospective Italian cohort (N = 90). (C) Kaplan-Meier curve of OS and (D) forest plot on the basis of the results of the multivariate analysis for OS are plotted for patients in the retrospective Italian cohort (N = 90). (E) Kaplan-Meier curve of EFS and (F) forest plot on the basis of the results of the multivariate analyses of EFS for patients in the prospective Dutch cohort (N = 95). (G) Kaplan-Meier curve of OS and (H) forest plot on the basis of the results of the multivariate analysis for OS are plotted for patients in the prospective Dutch cohort (N = 95). Elevated urinary 3MT was defined as a > 2.9-fold increase at diagnosis. 3MT, 3-methoxytyramine; EFS, event-free survival; INSS, International Neuroblastoma Staging System; LOH1p, loss of heterozygosity of chromosome 1p; MNA, MYCN amplification; OS, overall survival.

Patients with elevated 3MT have reduced EFS and OS compared with patients without elevated 3MT. (A) Kaplan-Meier curve of EFS and (B) forest plot on the basis of the results of the multivariate analysis for EFS for patients in the retrospective Italian cohort (N = 90). (C) Kaplan-Meier curve of OS and (D) forest plot on the basis of the results of the multivariate analysis for OS are plotted for patients in the retrospective Italian cohort (N = 90). (E) Kaplan-Meier curve of EFS and (F) forest plot on the basis of the results of the multivariate analyses of EFS for patients in the prospective Dutch cohort (N = 95). (G) Kaplan-Meier curve of OS and (H) forest plot on the basis of the results of the multivariate analysis for OS are plotted for patients in the prospective Dutch cohort (N = 95). Elevated urinary 3MT was defined as a > 2.9-fold increase at diagnosis. 3MT, 3-methoxytyramine; EFS, event-free survival; INSS, International Neuroblastoma Staging System; LOH1p, loss of heterozygosity of chromosome 1p; MNA, MYCN amplification; OS, overall survival.

Urinary 3-MT Level Is Associated With a Specific Gene Expression Pattern

Next, we compared the gene expression profiles in the DCOG test cohort (n = 64 patients) between patients with elevated urinary 3MT and patients without elevated urinary 3MT, defined using our previously reported prognostic cutoff value.[11] We found that elevated urinary 3MT levels were significantly correlated (P < .01) with the downregulation and upregulation of 76 and 86 genes, respectively (Data Supplement). After adjusting the cutoff value to achieve a P value < .001, a total of eight differentially expressed genes remained and were used establish a 3MT gene signature; specifically, the SRR, PLXNC1, FBX O30, and CHD5 genes were downregulated, and the UTP4, EEF1AKNMT, NCBP2AS2, and CA5BP1 genes were upregulated (Fig 3A; see the Data Supplement for the function of these genes). We then performed a k-means analysis on the basis of the 3MT signature scores to predict urinary 3MT level in the DCOG cohort (n = 26 and 64 patients in the validation and test cohorts, respectively). Sensitivity, specificity, and accuracy of the 3MT gene signature to predict urinary 3MT level of the test cohort and validation cohort are shown in the Data Supplement. We found that the 3MT signature correctly predicted urinary 3MT level in 80 of 90 cases (89%; Fig 3B). Given that tyrosine hydroxylase (TH, encoded by the TH gene) is the rate-limiting enzyme in catecholamine biosynthesis,[12] we then measured TH expression in the four patient clusters defined by their 3MT signature score and 3MT level (Fig 3B) and found that the group with high 3MT signature scores but without elevated urinary 3MT (ie, the five patients in the top-left quadrant in Fig 3B) had significantly lower TH expression compared with the other three patient groups (P < .05, Data Supplement). Moreover, we found a strong positive correlation between the 3MT signature scores and urinary 3MT levels (Fig 3C). Finally, we examined EFS and OS in the entire DCOG cohort (N = 122) stratified by 3MT signature scores. We found that the 50 patients with a high 3MT signature score had significantly poorer survival compared with the 72 patients with a low 3MT signature score (Figs 3D and 3E). These results suggest that the 3MT gene signature score may serve as a surrogate marker for urinary 3MT levels.
FIG 3.

Elevated urinary 3MT levels are correlated with a unique tumoral 3MT gene sig. (A) The 3MT gene sig. generated on the basis of gene expression data obtained from patients in the DCOG test cohort (n = 64); gene expression was compared between patients with elevated urinary 3MT levels (black squares) and patients without elevated urinary 3MT (white squares), revealing that four genes (UTP4, METTL13, NCBP2AS2, and CA5BP1) were significantly upregulated, whereas four other genes (SRR, PLXNC1, FBX O30, and CHD5) were significantly downregulated in the patients with elevated urinary 3MT levels. (B) By applying k-means analysis to the DCOG validation cohort (n = 26; blue symbols), all 90 patients in the cohort were categorized as having either a high or low 3MT sig. score and are plotted against their corresponding binary urinary 3MT status (ie, elevated or nonelevated). (C) For each patient, the 3MT score is plotted against the corresponding urinary 3MT level; the correlation was determined using Pearson's correlation coefficient. (D) EFS and (E) OS are plotted for the subgroup of patients in the DCOG cohort with a low 3MT sig. and the subgroup of patients with a high 3MT sig. 3MT, 3-methoxytyramine; DCOG, Dutch Cancer Oncology Group; EFS, event-free survival; OS, overall survival; sig., signature.

Elevated urinary 3MT levels are correlated with a unique tumoral 3MT gene sig. (A) The 3MT gene sig. generated on the basis of gene expression data obtained from patients in the DCOG test cohort (n = 64); gene expression was compared between patients with elevated urinary 3MT levels (black squares) and patients without elevated urinary 3MT (white squares), revealing that four genes (UTP4, METTL13, NCBP2AS2, and CA5BP1) were significantly upregulated, whereas four other genes (SRR, PLXNC1, FBX O30, and CHD5) were significantly downregulated in the patients with elevated urinary 3MT levels. (B) By applying k-means analysis to the DCOG validation cohort (n = 26; blue symbols), all 90 patients in the cohort were categorized as having either a high or low 3MT sig. score and are plotted against their corresponding binary urinary 3MT status (ie, elevated or nonelevated). (C) For each patient, the 3MT score is plotted against the corresponding urinary 3MT level; the correlation was determined using Pearson's correlation coefficient. (D) EFS and (E) OS are plotted for the subgroup of patients in the DCOG cohort with a low 3MT sig. and the subgroup of patients with a high 3MT sig. 3MT, 3-methoxytyramine; DCOG, Dutch Cancer Oncology Group; EFS, event-free survival; OS, overall survival; sig., signature.

The 3MT Gene Signature Score As a Prognostic Factor

To confirm the putative association between a high 3MT signature score and poor outcome, we also performed a k-means analysis using the COG cohort (N = 247) and GPOH cohort (N = 498). In both the COG and GPOH cohorts, the patients with a high 3MT signature score had significantly poorer EFS (Figs 4A and 4C, respectively) and OS (Figs 4B and 4D, respectively) compared with patients with a low 3MT signature score (all P < .001). Multivariate analyses of both cohorts revealed that a high 3MT signature score is an independent risk factor for poor EFS (Figs 4I and 4K) and OS (Figs 4J and 4L). In addition, we repeated the analysis of EFS and OS separately for the subset of patients in the GPOH with localized disease (International Neuroblastoma Staging System stage 1-3) without MNA (Figs 4E and 4F) and for the subset of patients in the GPOH cohort with high-risk disease (Figs 4G and 4H). In both subsets, the patients with a high 3MT signature score had significantly poorer EFS and OS mortality compared with the patients with a low 3MT signature score. Similar results were obtained after we excluded patients with MNA from the high-risk patient group in the GPOH cohort (Data Supplement), consistent with our results obtained for the COG cohort, which consists primarily of high-risk patients. The results provided in this article show the association between a high 3MT signature score and poor outcome. Analysis on the basis of different cohorts suggest an association between 3MT gene signature score and survival outcomes among patients with either low-risk or high-risk neuroblastoma.
FIG 4.

The 3MT gene sig. and clinical outcome. (A) EFS and (B) OS are plotted for the patients in the COG cohort, stratified by 3MT sig. (N = 247 patients). (C) EFS and (D) OS are plotted for the patients in the GPOH cohort, stratified by 3MT sig. (N = 498). (E) EFS and (F) OS are plotted for the subgroup of patients in the GPOH cohort with localized disease without MNA, stratified by 3MT sig. (n = 239). (G) EFS and (F) OS are plotted for the subgroup patients in the GPOH cohort with high-risk disease, stratified by 3MT sig. (n = 193). Forest plot on the basis of the results of the multivariate analysis for (I) EFS and (J) OS in the COG cohort. Forest plot on the basis of the results of the multivariate analysis for (K) EFS and (L) OS in the GPOH cohort. Stage was removed from the multivariate analysis in the COG cohort since 90% of the patients in this cohort had stage 4 disease. The 3MT gene sig. score was defined as high or low using k-means analysis on the basis of the expression of the eight genes that comprise the 3MT gene sig. 3MT, 3-methoxytyramine; COG, Children's Oncology Group; EFS, event-free survival; GPOH, German Pediatric Oncology Group; INSS, International Neuroblastoma Staging System; MNA, MYCN amplification; OS, overall survival; sig., signature.

The 3MT gene sig. and clinical outcome. (A) EFS and (B) OS are plotted for the patients in the COG cohort, stratified by 3MT sig. (N = 247 patients). (C) EFS and (D) OS are plotted for the patients in the GPOH cohort, stratified by 3MT sig. (N = 498). (E) EFS and (F) OS are plotted for the subgroup of patients in the GPOH cohort with localized disease without MNA, stratified by 3MT sig. (n = 239). (G) EFS and (F) OS are plotted for the subgroup patients in the GPOH cohort with high-risk disease, stratified by 3MT sig. (n = 193). Forest plot on the basis of the results of the multivariate analysis for (I) EFS and (J) OS in the COG cohort. Forest plot on the basis of the results of the multivariate analysis for (K) EFS and (L) OS in the GPOH cohort. Stage was removed from the multivariate analysis in the COG cohort since 90% of the patients in this cohort had stage 4 disease. The 3MT gene sig. score was defined as high or low using k-means analysis on the basis of the expression of the eight genes that comprise the 3MT gene sig. 3MT, 3-methoxytyramine; COG, Children's Oncology Group; EFS, event-free survival; GPOH, German Pediatric Oncology Group; INSS, International Neuroblastoma Staging System; MNA, MYCN amplification; OS, overall survival; sig., signature.

The 3MT Gene Signature Score Can Predict MYC Activity

Performing a direct gene ontology analysis failed to link the 3MT gene signature with any specific biologic process (data not shown). Therefore, we looked for possible correlations between the 3MT gene signature and other known gene signatures from the Broad Institute (the Oncogenic, Hallmarks, and Curated databases) and the KEGG database and found, among other correlations (Data Supplement), several strong positive correlations with MYC-related processes (Fig 5A). We then examined the correlation between the 3MT gene signature and both a known MYCN activity signature[18] and the recently identified MYC activity signature.[19] We found strong positive correlations between our 3MT signature and both the MYCN (Fig 5B) and MYC (Fig 5C) signatures. Finally, we performed a k-means analysis to categorize the GPOH cohort into patients with high tumoral MYC activity and patients with low tumoral MYC activity. On the basis of their MYC activity status and 3MT signature, the patients were allocated into four distinct groups (Fig 5D), demonstrating that the 3MT signature accurately predicted MYC activity in the tumor in 436 of 498 patients, with a sensitivity of 87% and specificity of 88%.
FIG 5.

The 3MT sig. can accurately predict MYC activity in neuroblastoma. (A) The GPOH cohort (N = 498 patients) was used to compare the 3MT gene sig. to gene signatures from the Broad Institute (Oncogenic, Hallmarks, and Curated databases) and KEGG database. Only gene signatures that were correlated strongly with the 3MT sig. (defined as a correlation score > 0.75 or < −0.75) are shown. (B-C) The 3MT sig. score for each patient in the GPOH cohort was plotted against the corresponding MYCN sig. score[18] (B) and MYC sig. score[19] (C). (D) A k-means analysis was used to categorize the patients in the GPOH cohort as having a high 3MT sig. score or a low 3MT sig. score, and each patient is plotted against the corresponding MYC activity status. (E) EFS and (F) OS was plotted for the indicated patient subgroups. 3MT, 3-methoxytyramine; EFS, event-free survival; GPOH, German Pediatric Oncology Group; OS, overall survival; sig., signature. Elevated urinary 3-methoxytyramine (3MT) at diagnosis is an independent risk factor for poor event-free survival and poor overall survival in neuroblastoma. Our analysis including gene expression data and urinary 3MT showed that increased urinary 3MT corresponds with tumor MYC activity.

The 3MT sig. can accurately predict MYC activity in neuroblastoma. (A) The GPOH cohort (N = 498 patients) was used to compare the 3MT gene sig. to gene signatures from the Broad Institute (Oncogenic, Hallmarks, and Curated databases) and KEGG database. Only gene signatures that were correlated strongly with the 3MT sig. (defined as a correlation score > 0.75 or < −0.75) are shown. (B-C) The 3MT sig. score for each patient in the GPOH cohort was plotted against the corresponding MYCN sig. score[18] (B) and MYC sig. score[19] (C). (D) A k-means analysis was used to categorize the patients in the GPOH cohort as having a high 3MT sig. score or a low 3MT sig. score, and each patient is plotted against the corresponding MYC activity status. (E) EFS and (F) OS was plotted for the indicated patient subgroups. 3MT, 3-methoxytyramine; EFS, event-free survival; GPOH, German Pediatric Oncology Group; OS, overall survival; sig., signature. Elevated urinary 3-methoxytyramine (3MT) at diagnosis is an independent risk factor for poor event-free survival and poor overall survival in neuroblastoma. Our analysis including gene expression data and urinary 3MT showed that increased urinary 3MT corresponds with tumor MYC activity. Given that MNA can also provide an indication of high MYC activity in the tumor, we then focused on the subset of patients with MNA (indicated by the red symbols in Fig 5D). We found that MNA predicted high MYC activity tumor with a sensitivity of 59% and a specificity of nearly 100%; thus, the presence of a high 3MT gene signature score may be a more suitable biomarker than MNA with respect to high MYC activity in the tumor. As shown in Figure 5D, 8% of patients with a high 3MT signature score had low MYC activity, and 4% of patients with a low 3MT signature score high MYC activity. Strikingly, we also found that patients with a high 3MT signature score—regardless of their MYC activity status—had poorer EFS and OS compared with patients with a low 3MT signature score (Figs 5E and 5F). Interestingly, however, the OS of patients with a high 3MT signature score was significantly worse in the subset of patients with high MYC activity (P = .008; Fig 5F), whereas EFS was not affected by MYC activity in the subset of patients with a high 3MT signature score (Fig 5E).

Increased MYC Activity May Underlie the Increase in Urinary 3MT Levels

Previously, we reported that MNA was correlated with both elevated 3MT levels and decreased levels of the catecholamine metabolite vanillylmandelic acid in two independent cohorts.[14] Given our finding that the 3MT gene signature is strongly correlated with MYC activity in the tumor, we investigated whether high MYC activity is linked to catecholamine metabolism and elevated urinary 3MT levels. We found that patients with high tumoral MYC activity had significantly higher levels of urinary dopamine and 3MT and significantly lower levels of vanillylmandelic acid and the metabolite normetanephrine compared with patients with low tumoral MYC activity (Fig 6A). Taken together, these results suggest that high MYC activity may affect the conversion of dopamine to norepinephrine by downregulation of the enzyme DBH (Fig 6B). To tests this theory, MYCN was overexpressed in MYCN single-copy cell lines. High MYCN protein expression was accompanied by a profound decrease in DBH protein expression (Data Supplement). The presence of doxycycline itself resulted in only a small decrease in DBH suppression, which was much less profound when compared with that observed in clones with MYCN overexpression (Data Supplement). Classification of the DCOG, COG, and GPOH cohorts into high and low MYC activity groups using k-means analysis and subsequently comparing DBH expression between these two groups showed that high MYC activity was always accompanied by significantly lower DBH expression compared with the corresponding group with low MYC activity (Fig 6C). These results were confirmed by staining primary tumor samples for MYCN and DBH, which demonstrated that the majority of neuroblastoma tumors with high MYCN staining had low DBH staining, and vice versa (Fig 6E). For example, in patient 583, the tumor had strong MYCN staining and weak DBH staining, whereas the tumor in patient 105 had weak MYCN staining and strong DBH staining (Fig 6D). Thus, overall, the patients with elevated urinary 3MT levels had relatively low DBH expression, high MYC activity, and a generally poorer prognosis compared with patients without elevated urinary 3MT levels (Fig 6E).
FIG 6.

MYC activity affects catecholamine biosynthesis. (A) The indicated catecholamines and catecholamine metabolites levels were measured in the patients in the retrospective Dutch cohort with known MYC activity status and are plotted separately for patients with low MYC activity (blue) and patients with high MYC activity (red). Fold change is defined as metabolite concentration per mmol creatinine divided by the upper limit of the age-related reference range. *P < .05, ***P < .001, and NS. (B) Pathway depicting the biosynthesis of catecholamines from tyrosine, and the production of catecholamine metabolites. Note that the production of VMA from NMN requires additional steps not shown here. (C) DBH mRNA was measured in tumor samples obtained from the DCOG, COG, and GPOH cohorts, stratified for patients with low MYC activity (blue) or high MYC activity (red). **P < .01 and ***P < .001. (D) Representative examples of primary neuroblastoma samples obtained from patient 583 (a patient with elevated urinary 3MT) and patient 105 (a patient without elevated urinary 3MT) and stained for MYCN and DBH (scale bar: 100 μm). (E) Summary of 30 patients with neuroblastoma. For each patient, the vital status, MCA status, MYC activity, MYCN staining, DBH staining, urinary 3MT status, and 3MT signature are indicated. 3MT, 3-methoxytyramine; COG, Children's Oncology Group; COMT, catechol-O-methyltransferase; DA, dopamine; DBH, dopamine β-hydroxylase; DCOG, Dutch Cancer Oncology Group; DDC, dopa decarboxylase; DOPA, 3,4-dihydroxy-L-phenylalanine ((L)-DOPA); GPOH, German Pediatric Oncology Group; HVA, homovanillic acid; MAOA, monoamine oxidase A; NE, norepinephrine; NMN, normetanephrine; NS, not significant; TH, tyrosine hydroxylase; TYR, tyrosine; VMA, vanillylmandelic acid.

MYC activity affects catecholamine biosynthesis. (A) The indicated catecholamines and catecholamine metabolites levels were measured in the patients in the retrospective Dutch cohort with known MYC activity status and are plotted separately for patients with low MYC activity (blue) and patients with high MYC activity (red). Fold change is defined as metabolite concentration per mmol creatinine divided by the upper limit of the age-related reference range. *P < .05, ***P < .001, and NS. (B) Pathway depicting the biosynthesis of catecholamines from tyrosine, and the production of catecholamine metabolites. Note that the production of VMA from NMN requires additional steps not shown here. (C) DBH mRNA was measured in tumor samples obtained from the DCOG, COG, and GPOH cohorts, stratified for patients with low MYC activity (blue) or high MYC activity (red). **P < .01 and ***P < .001. (D) Representative examples of primary neuroblastoma samples obtained from patient 583 (a patient with elevated urinary 3MT) and patient 105 (a patient without elevated urinary 3MT) and stained for MYCN and DBH (scale bar: 100 μm). (E) Summary of 30 patients with neuroblastoma. For each patient, the vital status, MCA status, MYC activity, MYCN staining, DBH staining, urinary 3MT status, and 3MT signature are indicated. 3MT, 3-methoxytyramine; COG, Children's Oncology Group; COMT, catechol-O-methyltransferase; DA, dopamine; DBH, dopamine β-hydroxylase; DCOG, Dutch Cancer Oncology Group; DDC, dopa decarboxylase; DOPA, 3,4-dihydroxy-L-phenylalanine ((L)-DOPA); GPOH, German Pediatric Oncology Group; HVA, homovanillic acid; MAOA, monoamine oxidase A; NE, norepinephrine; NMN, normetanephrine; NS, not significant; TH, tyrosine hydroxylase; TYR, tyrosine; VMA, vanillylmandelic acid.

DISCUSSION

In this study, we investigated the biologic basis underlying the putative association between elevated urinary 3MT levels and poor prognosis in patients with neuroblastoma and identified a gene expression pattern associated with increased urinary 3MT levels and high MYC activity. Our results obtained from both retrospective Italian and prospective Dutch cohorts support our previous finding that an elevated urinary 3MT level above the prognostic cutoff defined as a > 2.9-fold change[11] is associated with poor prognosis. Our previous finding that elevated 3MT levels were associated with poor EFS[11] independent of disease stage, patient age, MNA status, and loss of heterozygosity of chromosome 1p was confirmed in our prospective Dutch cohort, but because of the relatively brief median follow-up time (2.2 years), this could not be demonstrated for OS. In the Italian cohort, with significantly more low-risk patients, the 3MT correlation with EFS and OS was demonstrated by Cox regression analyses only. Finally, because the Italian (SIOPEN) and Dutch (DCOG) protocols differ with respect to induction chemotherapy, consolidation chemotherapy, and radiotherapy dosage (Data Supplement), our results confirm our previous finding that the association between elevated urinary 3MT levels and poor prognosis is not therapy-dependent.[11] Importantly, our analysis revealed that urinary 3MT levels correspond to a specific gene expression pattern in the primary tumor—the so-called 3MT gene signature—in 89% of cases. We previously reported that non–catecholamine-excreting neuroblastoma tumors do not express the enzyme TH.[12] Consistent with this finding, the five patients in our study who had a high 3MT signature score but nonelevated urinary 3MT levels also had significantly lower expression of tumoral TH. With respect to the five patients who had a low 3MT signature score but elevated urinary 3MT levels, it is conceivable that the entire tumor may not have been represented, as only a small portion of the tumor was used to isolate RNA.[9] In using the 3MT gene signature as a proxy for urinary 3MT levels, we confirmed the association between elevated urinary 3MT levels and poor outcome in two international cohorts of patients with neuroblastoma. This association was observed for the entire cohort, which included all risk groups, as well as among patients with high-risk neuroblastoma, regardless of MNA status; moreover, high 3MT signature scores were associated with poor prognosis independent of disease stage, the patient's age, and MNA status. Importantly, our results provide the first evidence that urinary 3MT level has prognostic value in patients with low-risk neuroblastoma. Interestingly, a recent study described 3MT as a promising marker for monitoring disease activity.[20] The presence of elevated urinary 3MT levels in patients initially classified as low-risk might allow the upstaging of such patients ensuring that they receive the most suitable therapy.[5,6] Currently, prospective validation of these findings is carried out in a European cohort with the aim to assess whether and how urinary 3MT levels at diagnosis should be integrated into our risk-stratification model. Gene ontology analysis was unable to link the 3MT gene signature to any biologic process, likely because of the fact that the 3MT signature consists of only eight genes, of which only the CHD5 and PLXN1C genes were studied previously in the context of neuroblastoma.[21,22] The CHD5 gene is located on chromosomal region 1p36.31, which is frequently lost in high-risk neuroblastoma[21]; it is, therefore, conceivable that the 3MT gene signature reflects a specific chromosomal aberration. However, this is unlikely, given that all eight genes in the signature are located on different chromosomes and/or chromosomal arms. Moreover, comparing the 3MT gene signature to other cancer-related gene signatures revealed a strong positive correlation with MYC activity status in the tumor. High MYC activity is generally associated with a more aggressive clinical phenotype.[18,19] However, in neuroblastoma, only MNA has been used as a biomarker for MYC activity in risk-assessment models,[2,3] and MNA occurs in approximately 50% of patients with neuroblastoma with high MYC activity.[18] This finding is consistent with our own finding that only 59% of patients with high MYC activity had MNA; the remaining patients with increased MYC activity might be explained by an amplification of c-MYC, although this is very rare,[23] and/or increased stability of the MYCN protein or other genetic aberrations.[18,24] Furthermore, although rare, MNA status can differ between cells in the primary tumor, as well as between the primary tumor and its metastases.[25,26] Taken together, these results indicate the need for a more sensitive biomarker for determining MYC activity in neuroblastoma. In this respect, increased urinary 3MT levels provide a far more sensitive biomarker of high MYC activity in neuroblastoma. Thus, circulating biomarkers such as urinary 3MT may reflect the biology of the entire tumor more accurately than a genetic profile obtained from a biopsy.[10-12] Future studies in which urinary 3MT levels are compared with MNA status and MYC activity—determined either from solid biopsies or liquid biopsies—are warranted to support this correlation. Furthermore, given the increasing availability of therapies that target MYC/MYCN signaling,[27] analyzing urinary 3MT levels may help identify patients who would likely benefit from these therapies. Previously, MNA status was associated with specific patterns of urinary catecholamines[14,28] that were attributed to decreased DBH expression.[12,29] Here, we provide the first evidence that both MNA and high MYC activity are inversely correlated with DBH expression in neuroblastoma measured at both the mRNA and protein levels. Furthermore, we found that both elevated urinary 3MT levels and a high 3MT gene signature score were correlated with high MYC activity and inversely correlated with DBH expression, indicating that high MYC activity in neuroblastoma likely underlies the increase in urinary 3MT levels. Although we found high concordance (88%) between MYC activity status and 3MT signature scores, we also identified a subset of patients (8%) who had a high 3MT gene signature score but a low MYC activity, and poor outcome. It is therefore conceivable that other oncogenic mechanisms may also underlie the increase in urinary 3MT levels. In this respect, it is interesting to note that several studies identified telomere maintenance as a key feature of high-risk neuroblastoma associated with poor outcome.[5,30,31] Telomeres are maintained by both MYC activity‒related (eg, MNA) and MYC activity‒independent (eg, rearrangement of the TERT gene) genetic alterations.[30,31] Taken together, it is therefore possible that elevated urinary 3MT levels—similar to telomere maintenance—is a general feature of high-risk neuroblastoma associated with multiple genetic aberrations. In conclusion, using both retrospective and prospective cohorts, we found that an elevated urinary 3MT level at diagnosis predicts poor outcome in patients with neuroblastoma, independent of disease stage, the patient's age, and MNA status. This association can be attributed—at least to a large extent—to high MYC activity in the tumor. Thus, urinary 3MT levels, which can be readily measured using a variety of validated methods,[32] may provide a noninvasive method for determining MYC activity in the tumor, thereby improving risk assessment in neuroblastoma.
  30 in total

1.  Catecholamines 101.

Authors:  David S Goldstein
Journal:  Clin Auton Res       Date:  2010-07-11       Impact factor: 4.435

2.  A Myc Activity Signature Predicts Poor Clinical Outcomes in Myc-Associated Cancers.

Authors:  MoonSun Jung; Amanda J Russell; Bing Liu; Joshy George; Pei Yan Liu; Tao Liu; Anna DeFazio; David D L Bowtell; André Oberthuer; Wendy B London; Jamie I Fletcher; Michelle Haber; Murray D Norris; Michelle J Henderson
Journal:  Cancer Res       Date:  2016-12-06       Impact factor: 12.701

3.  Revised risk estimation and treatment stratification of low- and intermediate-risk neuroblastoma patients by integrating clinical and molecular prognostic markers.

Authors:  André Oberthuer; Dilafruz Juraeva; Barbara Hero; Ruth Volland; Carolina Sterz; Rene Schmidt; Andreas Faldum; Yvonne Kahlert; Anne Engesser; Shahab Asgharzadeh; Robert Seeger; Miki Ohira; Akira Nakagawara; Paola Scaruffi; Gian Paolo Tonini; Isabelle Janoueix-Lerosey; Olivier Delattre; Gudrun Schleiermacher; Jo Vandesompele; Frank Speleman; Rosa Noguera; Marta Piqueras; Jean Bénard; Alexander Valent; Smadar Avigad; Isaac Yaniv; Richard G Grundy; Monika Ortmann; Chunxuan Shao; Manfred Schwab; Roland Eils; Thorsten Simon; Jessica Theissen; Frank Berthold; Frank Westermann; Benedikt Brors; Matthias Fischer
Journal:  Clin Cancer Res       Date:  2014-09-17       Impact factor: 12.531

4.  Clinical validation of urine 3-methoxytyramine as a biomarker of neuroblastoma and comparison with other catecholamine-related biomarkers.

Authors:  Leo Lam; Gerald A Woollard; Lochie Teague; James S Davidson
Journal:  Ann Clin Biochem       Date:  2016-09-28       Impact factor: 2.057

5.  Accumulation of segmental alterations determines progression in neuroblastoma.

Authors:  Gudrun Schleiermacher; Isabelle Janoueix-Lerosey; Agnès Ribeiro; Jerzy Klijanienko; Jérôme Couturier; Gaëlle Pierron; Véronique Mosseri; Alexander Valent; Nathalie Auger; Dominique Plantaz; Hervé Rubie; Dominique Valteau-Couanet; Franck Bourdeaut; Valérie Combaret; Christophe Bergeron; Jean Michon; Olivier Delattre
Journal:  J Clin Oncol       Date:  2010-06-01       Impact factor: 44.544

6.  Functional MYCN signature predicts outcome of neuroblastoma irrespective of MYCN amplification.

Authors:  Linda J Valentijn; Jan Koster; Franciska Haneveld; Rachida Ait Aissa; Peter van Sluis; Marloes E C Broekmans; Jan J Molenaar; Johan van Nes; Rogier Versteeg
Journal:  Proc Natl Acad Sci U S A       Date:  2012-10-22       Impact factor: 11.205

7.  Heterogeneity of the MYCN oncogene in neuroblastoma.

Authors:  Jessica Theissen; Marc Boensch; Ruediger Spitz; David Betts; Sabine Stegmaier; Holger Christiansen; Felix Niggli; Freimut Schilling; Manfred Schwab; Thorsten Simon; Frank Westermann; Frank Berthold; Barbara Hero
Journal:  Clin Cancer Res       Date:  2009-03-10       Impact factor: 12.531

8.  Circulating MYCN DNA as a tumor-specific marker in neuroblastoma patients.

Authors:  Valérie Combaret; Carole Audoynaud; Isabelle Iacono; Marie-Christine Favrot; Matthias Schell; Christophe Bergeron; Alain Puisieux
Journal:  Cancer Res       Date:  2002-07-01       Impact factor: 12.701

Review 9.  Too many targets, not enough patients: rethinking neuroblastoma clinical trials.

Authors:  Jamie I Fletcher; David S Ziegler; Toby N Trahair; Glenn M Marshall; Michelle Haber; Murray D Norris
Journal:  Nat Rev Cancer       Date:  2018-06       Impact factor: 60.716

10.  Distinct transcriptional MYCN/c-MYC activities are associated with spontaneous regression or malignant progression in neuroblastomas.

Authors:  Frank Westermann; Daniel Muth; Axel Benner; Tobias Bauer; Kai-Oliver Henrich; André Oberthuer; Benedikt Brors; Tim Beissbarth; Jo Vandesompele; Filip Pattyn; Barbara Hero; Rainer König; Matthias Fischer; Manfred Schwab
Journal:  Genome Biol       Date:  2008-10-13       Impact factor: 13.583

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  1 in total

Review 1.  Biochemical Diagnosis of Catecholamine-Producing Tumors of Childhood: Neuroblastoma, Pheochromocytoma and Paraganglioma.

Authors:  Graeme Eisenhofer; Mirko Peitzsch; Nicole Bechmann; Angela Huebner
Journal:  Front Endocrinol (Lausanne)       Date:  2022-07-26       Impact factor: 6.055

  1 in total

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