Evidence map›Paper›PMID 37081258›Full record

ArticleNature cancer2023

Ex vivo drug response heterogeneity reveals personalized therapeutic strategies for patients with multiple myeloma.

Klara Kropivsek, Paul Kachel, Sandra Goetze, Rebekka Wegmann, Yasmin Festl, Yannik Severin, Benjamin D Hale, Julien Mena, Audrey van Drogen, Nadja Dietliker and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Nature cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
10.8field-weighted citation impact, top 1% of its field
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

33 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. iScience · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 1 country.

Klara Kropivsek *Institute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland.ORCID 0000-0003-1866-4094
Paul Kachel *Department of Medical Oncology and Hematology, University Hospital Zurich and University of Zurich, Zurich, Switzerland.
Sandra GoetzeSwiss Institute of Bioinformatics, Lausanne, Switzerland.ORCID 0000-0001-6880-8020
Rebekka WegmannInstitute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland.ORCID 0000-0001-9616-3303
Yasmin FestlInstitute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland.
Yannik SeverinInstitute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland.
Benjamin D HaleInstitute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland.
Julien MenaInstitute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland.
Audrey van DrogenSwiss Institute of Bioinformatics, Lausanne, Switzerland.
Nadja DietlikerDepartment of Medical Oncology and Hematology, University Hospital Zurich and University of Zurich, Zurich, Switzerland.
Joëlle TchindaPediatric Oncology, Children's Research Centre, University Children's Hospital Zurich, Zurich, Switzerland.
Bernd WollscheidSwiss Institute of Bioinformatics, Lausanne, Switzerland.
Markus G ManzDepartment of Medical Oncology and Hematology, University Hospital Zurich and University of Zurich, Zurich, Switzerland.ORCID 0000-0002-4676-7931
Berend SnijderInstitute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland. snijder@imsb.biol.ethz.ch.ORCID 0000-0003-3386-6583
SIB Swiss Institute of Bioinformatics · CHUniversity of Zurich · CHUniversity Children's Hospital Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple myeloma (MM) is a plasma cell malignancy defined by complex genetics and extensive patient heterogeneity. Despite a growing arsenal of approved therapies, MM remains incurable and in need of guidelines to identify effective personalized treatments. Here, we survey the ex vivo drug and immunotherapy sensitivities across 101 bone marrow samples from 70 patients with MM using multiplexed immunofluorescence, automated microscopy and deep-learning-based single-cell phenotyping. Combined with sample-matched genetics, proteotyping and cytokine profiling, we map the molecular regulatory network of drug sensitivity, implicating the DNA repair pathway and EYA3 expression in proteasome inhibitor sensitivity and major histocompatibility complex class II expression in the response to elotuzumab. Globally, ex vivo drug sensitivity associated with bone marrow microenvironmental signatures reflecting treatment stage, clonality and inflammation. Furthermore, ex vivo drug sensitivity significantly stratified clinical treatment responses, including to immunotherapy. Taken together, our study provides molecular and actionable insights into diverse treatment strategies for patients with MM.

Indexed as

Multiple MyelomaBone MarrowHumansImmunotherapyPlasma CellsProteasome InhibitorsProteasome Inhibitors

Identifiers

PMID37081258
PMCPMC10212768
OpenAlexW4366590381

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.