Abstract
Acute myeloid leukemia with complex karyotype (CK-AML) is associated with poor prognosis, which is only in part explained by underlying TP53 mutations. Especially in the presence of complex chromosomal rearrangements, such as chromothripsis, the outcome of CK-AML is dismal. However, this degree of complexity of genomic rearrangements contributes to the leukemogenic phenotype and treatment resistance of CK-AML remains largely unknown. Applying an integrative workflow for the detection of structural variants (SVs) based on Oxford Nanopore (ONT) genomic DNA long-read sequencing (gDNA-LRS) and high-throughput chromosome confirmation capture (Hi-C) in a well-defined cohort of CK-AML identified regions with an extreme density of SVs. These rearrangements consisted to a large degree of focal amplifications enriched in the proximity of mammalian-wide interspersed repeat elements, which often result in oncogenic fusion transcripts, such as USP7::MVD, or the deregulation of oncogenic driver genes as confirmed by RNA-seq and ONT direct complementary DNA sequencing. We termed this novel phenomenon chromocataclysm. Thus, our integrative SV detection workflow combing gDNA-LRS and Hi-C enables to unravel complex genomic rearrangements at a very high resolution in regions hard to analyze by conventional sequencing technology, thereby providing an important tool to identify novel important drivers underlying cancer with complex karyotypic changes.
| Originalsprache | Englisch |
|---|---|
| Zeitschrift | Blood Advances |
| Jahrgang | 7 |
| Ausgabenummer | 21 |
| Seiten (von - bis) | 6520-6531 |
| Seitenumfang | 12 |
| ISSN | 2473-9529 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 2023 |
Fördermittel
This study was supported in part by the Bundesministerium für Bildung und Forschung (ERA PerMed projects SYNtherapy 01KU1917 and MEET-AML 01KU2014 to L.B.). M.-K.K. was supported by an MD student research scholarship (Berlin Institute of Health) and a Peter-Scriba scholarship of the German Association for Internal Medicine. S.M. was supported by grant MU 880/ 16-1 from the Deutsche Forschungsgemeinschaft.
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
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SDG 3 – Gesundheit und Wohlergehen
Strategische Forschungsbereiche und Zentren
- Querschnittsbereich: Medizinische Genetik
DFG-Fachsystematik
- 2.22-03 Humangenetik
- 2.11-05 Allgemeine Genetik und funktionelle Genomforschung
- 2.23-06 Molekulare und zelluläre Neurologie und Neuropathologie
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