Spatial and temporal intratumour heterogeneity has potential consequences for single biopsy-based neuroblastoma treatment decisions.
Adolescent
Antineoplastic Combined Chemotherapy Protocols
/ pharmacology
Biopsy
Child
Child, Preschool
Clinical Decision-Making
/ methods
Clinical Trials, Phase III as Topic
Clonal Evolution
DNA Copy Number Variations
Drug Resistance, Neoplasm
/ genetics
Female
Gene Expression Profiling
Genetic Heterogeneity
Genomics
Humans
Infant
Male
Mutation
Neoadjuvant Therapy
/ methods
Neuroblastoma
/ diagnosis
Randomized Controlled Trials as Topic
Risk Assessment
/ methods
Spatio-Temporal Analysis
Journal
Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555
Informations de publication
Date de publication:
23 11 2021
23 11 2021
Historique:
received:
23
11
2020
accepted:
18
10
2021
entrez:
24
11
2021
pubmed:
25
11
2021
medline:
22
12
2021
Statut:
epublish
Résumé
Intratumour heterogeneity is a major cause of treatment failure in cancer. We present in-depth analyses combining transcriptomic and genomic profiling with ultra-deep targeted sequencing of multiregional biopsies in 10 patients with neuroblastoma, a devastating childhood tumour. We observe high spatial and temporal heterogeneity in somatic mutations and somatic copy-number alterations which are reflected on the transcriptomic level. Mutations in some druggable target genes including ALK and FGFR1 are heterogeneous at diagnosis and/or relapse, raising the issue whether current target prioritization and molecular risk stratification procedures in single biopsies are sufficiently reliable for therapy decisions. The genetic heterogeneity in gene mutations and chromosome aberrations observed in deep analyses from patient courses suggest clonal evolution before treatment and under treatment pressure, and support early emergence of metastatic clones and ongoing chromosomal instability during disease evolution. We report continuous clonal evolution on mutational and copy number levels in neuroblastoma, and detail its implications for therapy selection, risk stratification and therapy resistance.
Identifiants
pubmed: 34815394
doi: 10.1038/s41467-021-26870-z
pii: 10.1038/s41467-021-26870-z
pmc: PMC8611017
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
6804Informations de copyright
© 2021. The Author(s).
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