Evidence map›Paper›PMID 37390336›Full record

ArticleBlood2023

Resolving therapy resistance mechanisms in multiple myeloma by multiomics subclone analysis.

Alexandra M Poos, Nina Prokoph, Moritz J Przybilla, Jan-Philipp Mallm, Simon Steiger, Isabelle Seufert, Lukas John, Stephan M Tirier, Katharina Bauer, Anja Baumann and 13 more

Abstract read
In one paragraph

Article in Blood, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors.

Alexandra M PoosDepartment of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany.
Nina ProkophDepartment of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany.ORCID 0000-0002-6429-9895
Moritz J PrzybillaDivision Computational Genomics and Systems Genetics, German Cancer Research Center, Heidelberg, Germany.ORCID 0000-0001-5645-9492
Jan-Philipp MallmSingle Cell Open Lab, German Cancer Research Center and BioQuant, Heidelberg, Germany.
Simon SteigerDivision of Chromatin Networks, German Cancer Research Center and BioQuant, Heidelberg, Germany.ORCID 0000-0002-4845-5042
Isabelle SeufertDivision of Chromatin Networks, German Cancer Research Center and BioQuant, Heidelberg, Germany.ORCID 0000-0001-9811-3836
Lukas JohnDepartment of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany.ORCID 0000-0001-8178-6890
Stephan M TirierDivision of Chromatin Networks, German Cancer Research Center and BioQuant, Heidelberg, Germany.
Katharina BauerSingle Cell Open Lab, German Cancer Research Center and BioQuant, Heidelberg, Germany.
Anja BaumannDepartment of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany.
Jennifer RohlederDepartment of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany.
Umair MunawarDepartment of Internal Medicine 2, University Hospital of Würzburg, Würzburg, Germany.
Leo RascheDepartment of Internal Medicine 2, University Hospital of Würzburg, Würzburg, Germany.ORCID 0000-0002-9536-9649
K Martin KortümDepartment of Internal Medicine 2, University Hospital of Würzburg, Würzburg, Germany.ORCID 0000-0002-7011-0286
Nicola GiesenDepartment of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany.ORCID 0000-0002-9615-2564
Philipp ReichertDepartment of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany.
Stefanie HuhnDepartment of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany.
Carsten Müller-TidowDepartment of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany.ORCID 0000-0002-7166-5232
Hartmut GoldschmidtDepartment of Internal Medicine V, GMMG-Study Group at University Hospital Heidelberg, Heidelberg, Germany.ORCID 0000-0003-0961-0035
Oliver StegleDivision Computational Genomics and Systems Genetics, German Cancer Research Center, Heidelberg, Germany.ORCID 0000-0002-8818-7193
Marc S RaabDepartment of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany.
Karsten RippeDivision of Chromatin Networks, German Cancer Research Center and BioQuant, Heidelberg, Germany.ORCID 0000-0001-9951-9395
Niels WeinholdDepartment of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intratumor heterogeneity as a clinical challenge becomes most evident after several treatment lines, when multidrug-resistant subclones accumulate. To address this challenge, the characterization of resistance mechanisms at the subclonal level is key to identify common vulnerabilities. In this study, we integrate whole-genome sequencing, single-cell (sc) transcriptomics (scRNA sequencing), and chromatin accessibility (scATAC sequencing) together with mitochondrial DNA mutations to define subclonal architecture and evolution for longitudinal samples from 15 patients with relapsed or refractory multiple myeloma. We assess transcriptomic and epigenomic changes to resolve the multifactorial nature of therapy resistance and relate it to the parallel occurrence of different mechanisms: (1) preexisting epigenetic profiles of subclones associated with survival advantages, (2) converging phenotypic adaptation of genetically distinct subclones, and (3) subclone-specific interactions of myeloma and bone marrow microenvironment cells. Our study showcases how an integrative multiomics analysis can be applied to track and characterize distinct multidrug-resistant subclones over time for the identification of molecular targets against them.

Indexed as

Multiple MyelomaHumansMultiomicsMutationTranscriptomeTumor Microenvironment

Identifiers

PMID37390336
PMCPMC10733835

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.