Evidence map›Paper›PMID 35045690›Full record

ArticleHaematologica2022

Comprehensive genomic analysis of refractory multiple myeloma reveals a complex mutational landscape associated with drug resistance and novel therapeutic vulnerabilities.

Nicola Giesen, Nagarajan Paramasivam, Umut H Toprak, Daniel Huebschmann, Jing Xu, Sebastian Uhrig, Mehmet Samur, Stella Bähr, Martina Fröhlich, Sadaf S Mughal and 9 more

Open access · goldAbstract read
In one paragraph

Article in Haematologica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
4.0field-weighted citation impact, top 5% 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. International Myeloma Society/International Myeloma Working Group Consensus Recommendations on the Definition of High-Risk Multiple Myeloma.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
    Guideline
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  14. Review
  15. Recent Advances in The Definition of the Molecular Alterations Occurring in Multiple Myeloma.Mediterranean journal of hematology and infectious diseases · 2024
    Review
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  20. Article
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

19 authors at 5 institutions in 2 countries.

Nicola GiesenDepartment of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany; Clinical Cooperation Unit Molecular Hematology/Oncology, Department of Internal Medicine V, Heidelberg University Hospital, and German Cancer Research Center (DKFZ), Heidelberg, Germany. nicola.giesen@med.uni-heidelberg.de.
Nagarajan ParamasivamBioinformatics and Omics Data Analytics, German Cancer Research Center (DKFZ), Heidelberg, Germany; Computational Oncology, Molecular Diagnostics Program, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ) Heidelberg, Germany.
Umut H ToprakBioinformatics and Omics Data Analytics, German Cancer Research Center (DKFZ), Heidelberg, Germany; Division of Neuroblastoma Genomics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Daniel HuebschmannComputational Oncology, Molecular Diagnostics Program, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ) Heidelberg, Germany; Heidelberg Institute for Stem cell Technology and Experimental Medicine (HI-STEM), Heidelberg, Germany; Department of Pediatric Immunology, Hematology and Oncology, Heidelberg University Hospital, Heidelberg, Germany; German Cancer Consortium (DKTK), Core Center Heidelberg, Germany.
Jing XuDepartment of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany; Clinical Cooperation Unit Molecular Hematology/Oncology, Department of Internal Medicine V, Heidelberg University Hospital, and German Cancer Research Center (DKFZ), Heidelberg, Germany; Division of Applied Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Sebastian UhrigComputational Oncology, Molecular Diagnostics Program, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ) Heidelberg, Germany; Division of Applied Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Mehmet SamurDepartment of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA; Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA.
Stella BährComputational Oncology, Molecular Diagnostics Program, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ) Heidelberg, Germany.
Martina FröhlichComputational Oncology, Molecular Diagnostics Program, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ) Heidelberg, Germany; Division of Applied Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Sadaf S MughalDivision of Applied Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Elias K MaiDepartment of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany.
Anna JauchInstitute for Human Genetics, Heidelberg University Hospital, Heidelberg, Germany.
Carsten Müller-TidowDepartment of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany; National Center for Tumor Diseases (NCT), Heidelberg, Germany.
Benedikt BrorsGerman Cancer Consortium (DKTK), Core Center Heidelberg, Germany; Division of Applied Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, Germany; National Center for Tumor Diseases (NCT), Heidelberg, Germany.
Nikhil MunshiJerome Lipper Multiple Myeloma Center, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Hartmut GoldschmidtDepartment of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany; National Center for Tumor Diseases (NCT), Heidelberg, Germany.
Niels WeinholdDepartment of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany.
Matthias SchlesnerBioinformatics and Omics Data Analytics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Marc S RaabDepartment of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany; Clinical Cooperation Unit Molecular Hematology/Oncology, Department of Internal Medicine V, Heidelberg University Hospital, and German Cancer Research Center (DKFZ), Heidelberg, Germany. m.raab@dkfz-heidelberg.de.
Heidelberg University · DEGerman Cancer Research Center · DEUniversity Hospital Heidelberg · DEDana-Farber Cancer Institute · USDana-Farber/Harvard Cancer Center · US

Funding

Trageting the Multiple Myeloma EpigenomeP50CA100707 · NCI · DANA-FARBER CANCER INSTITUTE · PI ANDERSON, KENNETH C. · 2003 to 2023
$45.0M
Targeting Genomic Instability and Evolution in MyelomaP01CA155258 · NCI · DANA-FARBER CANCER INST · PI Jill Corre · 2011 to 2026
$32.5M
NCI NIH HHS P01 CA155258NCI NIH HHS P50 CA100707
6 · The paper itself

Abstract

The outcomes of patients with multiple myeloma (MM) refractory to immunomodulatory agents (IMiDs) and proteasome inhibitors (PIs) remain poor. In this study, we performed whole genome and transcriptome sequencing of 39 heavily pretreated relapsed/refractory MM (RRMM) patients to identify mechanisms of resistance and potential therapeutic targets. We observed a high mutational load and indications of increased genomic instability. Recurrently mutated genes in RRMM, which had not been previously reported or only observed at a lower frequency in newly diagnosed MM, included NRAS, BRAF, TP53, SLC4A7, MLLT4, EWSR1, HCFC2, and COPS3. We found multiple genomic regions with bi-allelic events affecting tumor suppressor genes and demonstrated a significant adverse impact of bi-allelic TP53 alterations on survival. With regard to potentially resistance conferring mutations, recurrently mutated gene networks included genes with relevance for PI and IMiD activity; the latter particularly affecting members of the Cereblon and the COP9 signalosome complex. We observed a major impact of signatures associated with exposure to melphalan or impaired DNA double-strand break homologous recombination repair in RRMM. The latter coincided with mutations in genes associated with PARP inhibitor sensitivity in 49% of RRMM patients; a finding with potential therapeutic implications. In conclusion, this comprehensive genomic characterization revealed a complex mutational and structural landscape in RRMM and highlights potential implications for therapeutic strategies.

Indexed as

Multiple MyelomaDrug Resistance, NeoplasmGenomicsHumansMutationProteasome InhibitorsProteasome Inhibitors

Identifiers

PMID35045690
PMCPMC9335090
OpenAlexW4205862299

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.