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

被引:1
作者
Yuan, Ye [1 ]
Alzrigat, Mohammad [1 ]
Rodriguez-Garcia, Aida [1 ]
Wang, Xueyao [1 ]
Bexelius, Tomas Sjoberg [2 ,3 ]
Johnsen, John Inge [3 ]
Arsenian-Henriksson, Marie [1 ]
Liano-Pons, Judit [1 ]
Bedoya-Reina, Oscar C. [1 ]
机构
[1] Karolinska Inst, Dept Microbiol Tumor & Cell Biol MTC, Biomedicum, SE-17165 Stockholm, Sweden
[2] Astrid Lindgrens Children Hosp, Paediat Oncol Unit, SE-17164 Solna, Sweden
[3] Karolinska Inst, Dept Womens & Childrens Hlth, SE-17177 Stockholm, Sweden
关键词
neuroblastoma; c-MYC; MYCN; prognosis; gene signature; sympathoadrenal development; N-MYC; CLASSIFICATION-SYSTEM; LASSO METHOD; RNA-SEQ; CHILDREN; PROTEIN; MODELS; PROGRESSION; ONCOGENE; THERAPY;
D O I
10.3390/cancers15184599
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Simple Summary More than 40% of high-risk neuroblastoma (NB) cases are characterized by aberrations in the transcription factors MYCN and c-MYC. Nevertheless, the developmental stage and mechanisms through which MYCN and c-MYC contribute to the onset and progression of the malignancy are not fully understood. In this study, we selected different c-MYC and MYCN targets with clinical or biological relevance and prognostic value to model multigene transcriptional risk scores. We found that the modeled scores accurately classify patients into groups with different outcomes, with high-risk-scoring patients exhibiting worse clinical features. Furthermore, target genes associated with poor prognosis showed a higher expression in sympathoblasts than in chromaffin cells during the sympathoadrenal development.Abstract 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.
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页数:25
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  • [1] MYCN Amplification Is Associated with Reduced Expression of Genes Encoding γ-Secretase Complex and NOTCH Signaling Components in Neuroblastoma
    Agarwal, Prasoon
    Glowacka, Aleksandra
    Mahmoud, Loay
    Bazzar, Wesam
    Larsson, Lars-Gunnar
    Alzrigat, Mohammad
    [J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2023, 24 (09)
  • [2] Second Malignancies in Patients With Neuroblastoma: The Effects of Risk-Based Therapy
    Applebaum, Mark A.
    Henderson, Tara O.
    Lee, Sang Mee
    Pinto, Navin
    Volchenboum, Samuel L.
    Cohn, Susan L.
    [J]. PEDIATRIC BLOOD & CANCER, 2015, 62 (01) : 128 - 133
  • [3] Chromosome 1p and 11q deletions and outcome in neuroblastoma
    Attiyeh, EF
    London, WB
    Mossé, YP
    Wang, Q
    Winter, C
    Khazi, D
    McGrady, PW
    Seeger, RC
    Look, AT
    Shimada, H
    Brodeur, GM
    Cohn, SL
    Matthay, KK
    Maris, JM
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2005, 353 (21) : 2243 - 2253
  • [4] Polyamine synthesis as a target of MYC oncogenes
    Bachmann, Andre S.
    Geerts, Dirk
    [J]. JOURNAL OF BIOLOGICAL CHEMISTRY, 2018, 293 (48) : 18757 - 18769
  • [5] jvenn: an interactive Venn diagram viewer
    Bardou, Philippe
    Mariette, Jerome
    Escudie, Frederic
    Djemiel, Christophe
    Klopp, Christophe
    [J]. BMC BIOINFORMATICS, 2014, 15
  • [6] Translational development of difluoromethylornithine (DFMO) for the treatment of neuroblastoma
    Bassiri, Hamid
    Benavides, Adriana
    Haber, Michelle
    Gilmour, Susan K.
    Norris, Murray D.
    Hogarty, Michael D.
    [J]. TRANSLATIONAL PEDIATRICS, 2015, 4 (03): : 226 - 238
  • [7] HIF and MYC signaling in adrenal neoplasms of the neural crest: implications for pediatrics
    Bechmann, Nicole
    Westermann, Frank
    Eisenhofer, Graeme
    [J]. FRONTIERS IN ENDOCRINOLOGY, 2023, 14
  • [8] Single-nuclei transcriptomes from human adrenal gland reveal distinct cellular identities of low and high-risk neuroblastoma tumors
    Bedoya-Reina, O. C.
    Li, W.
    Arceo, M.
    Plescher, M.
    Bullova, P.
    Pui, H.
    Kaucka, M.
    Kharchenko, P.
    Martinsson, T.
    Holmberg, J.
    Adameyko, I
    Deng, Q.
    Larsson, C.
    Juhlin, C. C.
    Kogner, P.
    Schlisio, S.
    [J]. NATURE COMMUNICATIONS, 2021, 12 (01)
  • [9] THE ORNITHINE DECARBOXYLASE GENE IS A TRANSCRIPTIONAL TARGET OF C-MYC
    BELLOFERNANDEZ, C
    PACKHAM, G
    CLEVELAND, JL
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1993, 90 (16) : 7804 - 7808
  • [10] CONTROLLING THE FALSE DISCOVERY RATE - A PRACTICAL AND POWERFUL APPROACH TO MULTIPLE TESTING
    BENJAMINI, Y
    HOCHBERG, Y
    [J]. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1995, 57 (01) : 289 - 300