Target Genes of c-MYC and MYCN with Prognostic Power in Neuroblastoma Exhibit Different Expressions during Sympathoadrenal Development

Deregulation of the MYC family of transcription factors c-MYC (encoded by MYC), MYCN, and MYCL is prevalent in most human cancers, with an impact on tumor initiation and progression, as well as response to therapy. In neuroblastoma (NB), amplification of the MYCN oncogene and over-expression of MYC characterize approximately 40% and 10% of all high-risk NB cases, respectively. However, the mechanism and stage of neural crest development in which MYCN and c-MYC contribute to the onset and/or progression of NB are not yet fully understood. Here, we hypothesized that subtle differences in the expression of MYCN and/or c-MYC targets could more accurately stratify NB patients in different risk groups rather than using the expression of either MYC gene alone. We employed an integrative approach using the transcriptome of 498 NB patients from the SEQC cohort and previously defined c-MYC and MYCN target genes to model a multigene transcriptional risk score. Our findings demonstrate that defined sets of c-MYC and MYCN targets with significant prognostic value, effectively stratify NB patients into different groups with varying overall survival probabilities. In particular, patients exhibiting a high-risk signature score present unfavorable clinical parameters, including increased clinical risk, higher INSS stage, MYCN amplification, and disease progression. Notably, target genes with prognostic value differ between c-MYC and MYCN, exhibiting distinct expression patterns in the developing sympathoadrenal system. Genes associated with poor outcomes are mainly found in sympathoblasts rather than in chromaffin cells during the sympathoadrenal development.

[1]  F. Westermann,et al.  HIF and MYC signaling in adrenal neoplasms of the neural crest: implications for pediatrics , 2023, Frontiers in Endocrinology.

[2]  L. Larsson,et al.  MYCN Amplification Is Associated with Reduced Expression of Genes Encoding γ-Secretase Complex and NOTCH Signaling Components in Neuroblastoma , 2023, International journal of molecular sciences.

[3]  N. Montemurro,et al.  Macrophages in Recurrent Glioblastoma as a Prognostic Factor in the Synergistic System of the Tumor Microenvironment , 2023, Neurology international.

[4]  F. Westermann,et al.  Neuroblastoma arises in early fetal development and its evolutionary duration predicts outcome , 2023, Nature Genetics.

[5]  D. Chicco,et al.  Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma , 2023, BioData Mining.

[6]  Florence T. Bourgeois,et al.  Systematic review of clinical drug development activities for neuroblastoma from 2011 to 2020 , 2022, Pediatric blood & cancer.

[7]  Nadezhda T. Doncheva,et al.  The STRING database in 2023: protein–protein association networks and functional enrichment analyses for any sequenced genome of interest , 2022, Nucleic Acids Res..

[8]  Laurent Guyon,et al.  Prognosis of lasso-like penalized Cox models with tumor profiling improves prediction over clinical data alone and benefits from bi-dimensional pre-screening , 2022, BMC Cancer.

[9]  M. Dyer,et al.  Neuroblastoma: When differentiation goes awry , 2022, Neuron.

[10]  P. Ambros,et al.  Amplification of CDK4 and MDM2: a detailed study of a high-risk neuroblastoma subgroup , 2022, Scientific Reports.

[11]  R. Ries,et al.  A ten-gene DNA-damage response pathway gene expression signature predicts gemtuzumab ozogamicin response in pediatric AML patients treated on COGAAML0531 and AAML03P1 trials , 2022, Leukemia.

[12]  Rameswari Chilamakuri,et al.  Inhibition of Polo-like Kinase 1 by HMN-214 Blocks Cell Cycle Progression and Inhibits Neuroblastoma Growth , 2022, Pharmaceuticals.

[13]  J. Li,et al.  Exaggerated false positives by popular differential expression methods when analyzing human population samples , 2022, Genome Biology.

[14]  R. Young,et al.  Retinoic acid rewires the adrenergic core regulatory circuitry of childhood neuroblastoma , 2021, bioRxiv.

[15]  A. Naranjo,et al.  Revised Neuroblastoma Risk Classification System: A Report From the Children's Oncology Group , 2021, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[16]  F. Westermann,et al.  FOXR2 Stabilizes MYCN Protein and Identifies Non–MYCN-Amplified Neuroblastoma Patients With Unfavorable Outcome , 2021, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[17]  C. Larsson,et al.  Single-nuclei transcriptomes from human adrenal gland reveal distinct cellular identities of low and high-risk neuroblastoma tumors , 2021, Nature Communications.

[18]  F. Westermann,et al.  Single-cell transcriptomic analyses provide insights into the developmental origins of neuroblastoma , 2021, Nature Genetics.

[19]  Senlin Xu,et al.  Alternative approaches to target Myc for cancer treatment , 2021, Signal Transduction and Targeted Therapy.

[20]  Shizhen Zhu,et al.  Zebrafish as a Neuroblastoma Model: Progress Made, Promise for the Future , 2021, Cells.

[21]  Matthew D. Young,et al.  Tumor to normal single-cell mRNA comparisons reveal a pan-neuroblastoma cancer cell , 2021, Science Advances.

[22]  Jörg Otte,et al.  MYCN Function in Neuroblastoma Development , 2021, Frontiers in Oncology.

[23]  D. Fairlie,et al.  Taking the Myc out of cancer: toward therapeutic strategies to directly inhibit c-Myc , 2020, Molecular Cancer.

[24]  Wayne H. Liang,et al.  Tailoring Therapy for Children With Neuroblastoma on the Basis of Risk Group Classification: Past, Present, and Future. , 2020, JCO clinical cancer informatics.

[25]  D. Grifoni,et al.  Exploring MYC relevance to cancer biology from the perspective of cell competition. , 2020, Seminars in cancer biology.

[26]  Meichao Zhang,et al.  MRE11-RAD50-NBS1 complex alterations and DNA damage response: implications for cancer treatment , 2019, Molecular Cancer.

[27]  Gregory P. Way,et al.  Epigenomic profiling of neuroblastoma cell lines , 2019, bioRxiv.

[28]  Morris J. Brown,et al.  ANO4 (Anoctamin 4) Is a Novel Marker of Zona Glomerulosa That Regulates Stimulated Aldosterone Secretion , 2019, Hypertension.

[29]  Chika Yokota,et al.  Spatiotemporal structure of cell fate decisions in murine neural crest , 2019, Science.

[30]  P. Sondel,et al.  Advances in Anti-GD2 Immunotherapy for Treatment of High-risk Neuroblastoma , 2019, Journal of pediatric hematology/oncology.

[31]  M. Madonna,et al.  Update on neuroblastoma. , 2019, Journal of pediatric surgery.

[32]  A. Davidoff,et al.  Implications of Image-Defined Risk Factors and Primary-Site Response on Local Control and Radiation Treatment Delivery in the Management of High-Risk Neuroblastoma: Is There a Role for De-escalation of Adjuvant Primary-Site Radiation Therapy? , 2019, International journal of radiation oncology, biology, physics.

[33]  D. Geerts,et al.  Polyamine synthesis as a target of MYC oncogenes , 2018, The Journal of Biological Chemistry.

[34]  A. Naranjo,et al.  Predictors of differential response to induction therapy in high-risk neuroblastoma: A report from the Children's Oncology Group (COG). , 2018, European journal of cancer.

[35]  Michael C. Heinold,et al.  The landscape of genomic alterations across childhood cancers , 2018, Nature.

[36]  Fabian J Theis,et al.  SCANPY: large-scale single-cell gene expression data analysis , 2018, Genome Biology.

[37]  D. Rickman,et al.  The Expanding World of N-MYC-Driven Tumors. , 2018, Cancer discovery.

[38]  P. Song,et al.  A LASSO Method to Identify Protein Signature Predicting Post-transplant Renal Graft Survival , 2017, Statistics in biosciences.

[39]  Igor Adameyko,et al.  Multipotent peripheral glial cells generate neuroendocrine cells of the adrenal medulla , 2017, Science.

[40]  Maria C. Lecca,et al.  Neuroblastoma is composed of two super-enhancer-associated differentiation states , 2017, Nature Genetics.

[41]  John T. Powers,et al.  Multiple mechanisms disrupt the let-7 microRNA family in neuroblastoma , 2016, Nature.

[42]  H. Pickett,et al.  MYC-Driven Neuroblastomas Are Addicted to a Telomerase-Independent Function of Dyskerin. , 2016, Cancer research.

[43]  M. Roussel,et al.  The Interaction of Myc with Miz1 Defines Medulloblastoma Subgroup Identity. , 2016, Cancer cell.

[44]  J. Mesirov,et al.  The Molecular Signatures Database Hallmark Gene Set Collection , 2015 .

[45]  Joseph L. Herman,et al.  Characterizing transcriptional heterogeneity through pathway and gene set overdispersion analysis , 2015, Nature Methods.

[46]  F. Speleman,et al.  Inhibition of CDK4/6 as a novel therapeutic option for neuroblastoma , 2015, Cancer Cell International.

[47]  M. Hogarty,et al.  Translational development of difluoromethylornithine (DFMO) for the treatment of neuroblastoma. , 2015, Translational pediatrics.

[48]  May D. Wang,et al.  Comparison of RNA-seq and microarray-based models for clinical endpoint prediction , 2015, Genome Biology.

[49]  Dietrich Büsselberg,et al.  The Role of Intracellular Calcium for the Development and Treatment of Neuroblastoma , 2015, Cancers.

[50]  S. Cohn,et al.  Second malignancies in patients with neuroblastoma: The effects of risk‐based therapy , 2015, Pediatric blood & cancer.

[51]  Wenwei Zhang,et al.  An investigation of biomarkers derived from legacy microarray data for their utility in the RNA-seq era , 2014, Genome Biology.

[52]  W. Huber,et al.  Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 , 2014, Genome Biology.

[53]  Philippe Bardou,et al.  jvenn: an interactive Venn diagram viewer , 2014, BMC Bioinformatics.

[54]  David P. Kreil,et al.  A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control consortium , 2014, Nature Biotechnology.

[55]  D. Felsher,et al.  MYC activation is a hallmark of cancer initiation and maintenance. , 2014, Cold Spring Harbor perspectives in medicine.

[56]  S. Keir,et al.  Initial testing (stage 1) of the polo‐like kinase inhibitor volasertib (BI 6727), by the Pediatric Preclinical Testing Program , 2014, Pediatric blood & cancer.

[57]  S. Dalton,et al.  Roles for MYC in the establishment and maintenance of pluripotency. , 2013, Cold Spring Harbor perspectives in medicine.

[58]  William A Weiss,et al.  Neuroblastoma and MYCN. , 2013, Cold Spring Harbor perspectives in medicine.

[59]  J. Maris,et al.  Children's Oncology Group's 2013 blueprint for research: Neuroblastoma , 2013, Pediatric blood & cancer.

[60]  Michael A. Dyer,et al.  Neuroblastoma: developmental biology, cancer genomics and immunotherapy , 2013, Nature Reviews Cancer.

[61]  F. Westermann,et al.  Hox-C9 activates the intrinsic pathway of apoptosis and is associated with spontaneous regression in neuroblastoma , 2013, Cell Death and Disease.

[62]  Jan Koster,et al.  Functional MYCN signature predicts outcome of neuroblastoma irrespective of MYCN amplification , 2012, Proceedings of the National Academy of Sciences.

[63]  Y. Mossé,et al.  Targeting ALK in neuroblastoma—preclinical and clinical advancements , 2012, Nature Reviews Clinical Oncology.

[64]  Chi V Dang,et al.  MYC on the Path to Cancer , 2012, Cell.

[65]  D. Neuberg,et al.  Activated ALK collaborates with MYCN in neuroblastoma pathogenesis. , 2012, Cancer cell.

[66]  D. Zwijnenburg,et al.  Sequencing of neuroblastoma identifies chromothripsis and defects in neuritogenesis genes , 2012, Nature.

[67]  J. Mora,et al.  A Three-Gene Expression Signature Model for Risk Stratification of Patients with Neuroblastoma , 2012, Clinical Cancer Research.

[68]  Sridhar Ramaswamy,et al.  MYC and metastasis. , 2011, Cancer research.

[69]  R Eils,et al.  Comparison of performance of one-color and two-color gene-expression analyses in predicting clinical endpoints of neuroblastoma patients , 2010, The Pharmacogenomics Journal.

[70]  Shinya Yamanaka,et al.  Promotion of direct reprogramming by transformation-deficient Myc , 2010, Proceedings of the National Academy of Sciences.

[71]  J. Maris Recent advances in neuroblastoma. , 2010, The New England journal of medicine.

[72]  S. Murray,et al.  myc maintains embryonic stem cell pluripotency and self-renewal. , 2010, Differentiation; research in biological diversity.

[73]  Gudrun Schleiermacher,et al.  Accurate Outcome Prediction in Neuroblastoma across Independent Data Sets Using a Multigene Signature , 2010, Clinical Cancer Research.

[74]  Trevor Hastie,et al.  Regularization Paths for Generalized Linear Models via Coordinate Descent. , 2010, Journal of statistical software.

[75]  Axel Benner,et al.  High‐Dimensional Cox Models: The Choice of Penalty as Part of the Model Building Process , 2010, Biometrical journal. Biometrische Zeitschrift.

[76]  M. Meng,et al.  Increasing Incidence of Neuroblastoma and Potentially Higher Associated Mortality of Children From Nonmetropolitan Areas: Analysis of the Surveillance, Epidemiology, and End Results Database , 2009, Journal of pediatric hematology/oncology.

[77]  Davis J. McCarthy,et al.  edgeR: a Bioconductor package for differential expression analysis of digital gene expression data , 2009, Bioinform..

[78]  Ruth Ladenstein,et al.  Predicting outcomes for children with neuroblastoma using a multigene-expression signature: a retrospective SIOPEN/COG/GPOH study. , 2009, The Lancet. Oncology.

[79]  Barbara Hero,et al.  The International Neuroblastoma Risk Group (INRG) classification system: an INRG Task Force report. , 2009, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[80]  Giovanni Cecchetto,et al.  The International Neuroblastoma Risk Group (INRG) staging system: an INRG Task Force report. , 2009, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[81]  W. London,et al.  ODC1 is a critical determinant of MYCN oncogenesis and a therapeutic target in neuroblastoma. , 2008, Cancer research.

[82]  Rainer König,et al.  Distinct transcriptional MYCN/c-MYC activities are associated with spontaneous regression or malignant progression in neuroblastomas , 2008, Genome Biology.

[83]  T. Thompson,et al.  Cancer Incidence Among Children and Adolescents in the United States, 2001–2003 , 2008, Pediatrics.

[84]  Jonghwan Kim,et al.  Global Identification of Myc Target Genes Reveals Its Direct Role in Mitochondrial Biogenesis and Its E-Box Usage In Vivo , 2008, PloS one.

[85]  Andrew G. Hall,et al.  Identification of candidate genes involved in neuroblastoma progression by combining genomic and expression microarrays with survival data , 2007, Oncogene.

[86]  B. Hero,et al.  Neuroblastoma , 2007, The Lancet.

[87]  Patrick Warnat,et al.  Customized oligonucleotide microarray gene expression-based classification of neuroblastoma patients outperforms current clinical risk stratification. , 2006, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[88]  N. Cheung,et al.  The MYCN enigma: significance of MYCN expression in neuroblastoma. , 2006, Cancer research.

[89]  Hiroyuki Shimada,et al.  Chromosome 1p and 11q deletions and outcome in neuroblastoma. , 2005, The New England journal of medicine.

[90]  Pablo Tamayo,et al.  Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[91]  M Schwab,et al.  N‐myc enhances the expression of a large set of genes functioning in ribosome biogenesis and protein synthesis , 2001, The EMBO journal.

[92]  T. Lumley,et al.  Time‐Dependent ROC Curves for Censored Survival Data and a Diagnostic Marker , 2000, Biometrics.

[93]  F. Speleman,et al.  Gain of chromosome arm 17q and adverse outcome in patients with neuroblastoma. , 1999, The New England journal of medicine.

[94]  G. Mohapatra,et al.  Targeted expression of MYCN causes neuroblastoma in transgenic mice , 1997, The EMBO journal.

[95]  R. Tibshirani The lasso method for variable selection in the Cox model. , 1997, Statistics in medicine.

[96]  J L Cleveland,et al.  The ornithine decarboxylase gene is a transcriptional target of c-Myc. , 1993, Proceedings of the National Academy of Sciences of the United States of America.

[97]  F. Berthold,et al.  Revisions of the international criteria for neuroblastoma diagnosis, staging and response to treatment. , 1993, Progress in clinical and biological research.

[98]  B. Futcher,et al.  Human D-type cyclin , 1991, Cell.

[99]  M. Schwab,et al.  Suppression of MYC by high expression of NMYC in human neuroblastoma cells , 1989, Journal of neuroscience research.

[100]  J. Bishop,et al.  Contrasting patterns of myc and N-myc expression during gastrulation of the mouse embryo. , 1989, Genes & development.

[101]  H. Sather,et al.  Association of multiple copies of the N-myc oncogene with rapid progression of neuroblastomas. , 1985, The New England journal of medicine.

[102]  H. Varmus,et al.  Amplification of N-myc in untreated human neuroblastomas correlates with advanced disease stage. , 1984, Science.

[103]  B. Vennstrom,et al.  Isolation and characterization of c-myc, a cellular homolog of the oncogene (v-myc) of avian myelocytomatosis virus strain 29 , 1982, Journal of virology.

[104]  Richard A. Young,et al.  MYC Drives a Subset of High-Risk Pediatric Neuroblastomas and Is Activated through Mechanisms Including Enhancer Hijacking and Focal Enhancer Amplification. , 2018, Cancer discovery.

[105]  M. Stratton,et al.  A census of amplified and overexpressed human cancer genes , 2010, Nature Reviews Cancer.

[106]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .

[107]  F. Alt,et al.  myc family oncogenes in the development of normal and neoplastic cells. , 1991, Advances in cancer research.

[108]  F. Alt,et al.  Differential expression of myc family genes during murine development , 1986, Nature.