Growth factor signaling predicts therapy resistance mechanisms and defines neuroblastoma subtypes.


Journal

Oncogene
ISSN: 1476-5594
Titre abrégé: Oncogene
Pays: England
ID NLM: 8711562

Informations de publication

Date de publication:
11 2021
Historique:
received: 04 03 2021
accepted: 10 09 2021
revised: 25 08 2021
pubmed: 25 9 2021
medline: 30 12 2021
entrez: 24 9 2021
Statut: ppublish

Résumé

Neuroblastoma (NB) has a low frequency of recurrent mutations compared to other cancers, which hinders the development of targeted therapies and novel risk stratification strategies. Multikinase inhibitors have shown potential in treating high-risk NB, but their efficacy is likely impaired by the cancer cells' ability to adapt to these drugs through the employment of alternative signaling pathways. Based on the expression of 48 growth factor-related genes in 1189 NB tumors, we have developed a model for NB patient survival prediction. This model discriminates between stage 4 NB tumors with favorable outcomes (>80% overall survival) and very poor outcomes (<10%) independently from MYCN-amplification status. Using signaling pathway analysis and gene set enrichment methods in 60 NB patients with known therapy response, we identified signaling pathways, including EPO, NGF, and HGF, upregulated in patients with no or partial response. In a therapeutic setting, we showed that among six selected growth factors, EPO, and NGF showed the most pronounced protective effects in vitro against several promising anti-NB multikinase inhibitors: imatinib, dasatinib, crizotinib, cabozantinib, and axitinib. Mechanistically kinase inhibitors potentiated NB cells to stronger ERK activation by EPO and NGF. The protective action of these growth factors strongly correlated with ERK activation and was ERK-dependent. ERK inhibitors combined with anticancer drugs, especially with dasatinib, showed a synergistic effect on NB cell death. Consideration of growth factor signaling activity benefits NB outcome prediction and tailoring therapy regimens to treat NB.

Identifiants

pubmed: 34556815
doi: 10.1038/s41388-021-02018-7
pii: 10.1038/s41388-021-02018-7
pmc: PMC8566230
doi:

Substances chimiques

EPO protein, human 0
NGF protein, human 0
Protein Kinase Inhibitors 0
Erythropoietin 11096-26-7
Nerve Growth Factor 9061-61-4

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

6258-6272

Informations de copyright

© 2021. The Author(s).

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Auteurs

Timofey Lebedev (T)

Department of Cancer Cell Biology, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia. lebedevtd@gmail.com.
Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia. lebedevtd@gmail.com.

Elmira Vagapova (E)

Department of Cancer Cell Biology, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.

Pavel Spirin (P)

Department of Cancer Cell Biology, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.

Petr Rubtsov (P)

Department of Cancer Cell Biology, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.

Olga Astashkova (O)

Department of Cancer Cell Biology, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Moscow Institute of Physics and Technology (National Research University), Moscow Region, Russia.

Alesya Mikheeva (A)

Department of Cancer Cell Biology, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Moscow Institute of Physics and Technology (National Research University), Moscow Region, Russia.

Maxim Sorokin (M)

Group for Genomic Regulation of Cell Signaling Systems, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia.
Department of Bioinformatics and Molecular Networks, OmicsWay Corporation, Walnut, CA, USA.
Institute of Personalized Medicine, Sechenov First Moscow State Medical University, Moscow, Russia.

Uliana Vladimirova (U)

Institute of Personalized Medicine, Sechenov First Moscow State Medical University, Moscow, Russia.

Maria Suntsova (M)

Institute of Personalized Medicine, Sechenov First Moscow State Medical University, Moscow, Russia.

Dmitry Konovalov (D)

D. Rogachyov Federal Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia.

Alexander Roumiantsev (A)

D. Rogachyov Federal Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia.

Carol Stocking (C)

Research Department Cell and Gene Therapy, Department of Stem Cell Transplantation, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.
Heinrich-Pette-Institute, Leibniz Institute for Experimental Virology, Hamburg, Germany.

Anton Buzdin (A)

Moscow Institute of Physics and Technology (National Research University), Moscow Region, Russia.
Group for Genomic Regulation of Cell Signaling Systems, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia.
Department of Bioinformatics and Molecular Networks, OmicsWay Corporation, Walnut, CA, USA.
Institute of Personalized Medicine, Sechenov First Moscow State Medical University, Moscow, Russia.

Vladimir Prassolov (V)

Department of Cancer Cell Biology, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.

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Classifications MeSH