Resolving therapy resistance mechanisms in multiple myeloma by multi-omics subclone analysis.
Alexandra M PoosNina ProkophMoritz Jakob PrzybillaJan-Philipp MallmSimon SteigerIsabelle SeufertLukas JohnStephan M TirierKatharina BauerAnja BaumannJennifer RohlederUmair MunawarLeo RascheKlaus Martin KortümNicola GiesenPhilipp ReichertStefanie HuhnCarsten Muller-TidowHartmut GoldschmidtOliver StegleMarc S RaabKarsten RippeNiels WeinholdPublished in: Blood (2023)
Intratumor heterogeneity becomes most evident after several treatment lines when multi-drug resistant subclones accumulate. To address this clinical challenge, the characterization of resistance mechanisms at the subclonal level is key to identify common vulnerabilities. Here, we integrate whole genome sequencing, single-cell transcriptomics (scRNA-seq) and chromatin accessibility (scATAC-seq) together with mitochondrial DNA (mtDNA) mutations to define subclonal architecture and evolution for longitudinal samples from 15 relapsed/refractory multiple myeloma (RRMM) patients. We assess transcriptomic and epigenomic changes to resolve the multifactorial nature of therapy resistance and relate it to the parallel occurrence of different mechanisms: (i) Pre-existing epigenetic profiles of subclones associated with survival advantages, (ii) converging phenotypic adaptation of genetically distinct subclones, and (iii) subclone-specific interactions of myeloma and bone marrow microenvironment cells. Our study showcases how an integrative multi-omics analysis can be applied to track and characterize distinct multi-drug resistant subclones over time for the identification of novel molecular targets against them.
Keyphrases
- single cell
- drug resistant
- multiple myeloma
- rna seq
- mitochondrial dna
- multidrug resistant
- acinetobacter baumannii
- copy number
- high throughput
- bone marrow
- newly diagnosed
- end stage renal disease
- ejection fraction
- gene expression
- genome wide
- stem cells
- mesenchymal stem cells
- risk assessment
- chronic kidney disease
- prognostic factors
- acute myeloid leukemia
- peritoneal dialysis
- hodgkin lymphoma
- cystic fibrosis
- cell death
- cell cycle arrest
- smoking cessation
- patient reported