Evidence map›Paper›PMID 34453055›Full record

ArticleNature communications2021

Copy number signatures predict chromothripsis and clinical outcomes in newly diagnosed multiple myeloma.

Kylee H Maclachlan, Even H Rustad, Andriy Derkach, Binbin Zheng-Lin, Venkata Yellapantula, Benjamin Diamond, Malin Hultcrantz, Bachisio Ziccheddu, Eileen M Boyle, Patrick Blaney and 7 more

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Micronuclei: origins, assays, mechanisms, diseases and treatments.Signal transduction and targeted therapy · 2026
    Review
  7. Article
  8. Genomics Define Malignant Transformation in Myeloma Precursor Conditions.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2026
    Article
  9. Defining High-Risk Disease Biology in Multiple Myeloma: A Narrative Review.Blood and lymphatic cancer : targets and therapy · 2026
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Chromoanagenesis in Multiple Myeloma: A Comprehensive Overview.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  15. Article
  16. Artificial Intelligence and Chromothripsis.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  17. A review on trends in development and translation of omics signatures in cancer.Computational and structural biotechnology journal · 2024
    Review
  18. Genomic Profiling to Contextualize the Results of Intervention for Smoldering Multiple Myeloma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  19. Genomic Classification and Individualized Prognosis in Multiple Myeloma.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Article
  20. Review
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

17 authors.

Kylee H MaclachlanMyeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0001-7873-4854
Even H RustadMyeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Andriy DerkachDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0003-2178-8493
Binbin Zheng-LinMyeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Venkata YellapantulaMyeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Benjamin DiamondMyeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0002-8638-9365
Malin HultcrantzMyeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0002-9045-6495
Bachisio ZicchedduMyeloma Service, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA.
Eileen M BoyleMyeloma Research Program, NYU Langone, Perlmutter Cancer Center, New York, NY, USA.
Patrick BlaneyMyeloma Research Program, NYU Langone, Perlmutter Cancer Center, New York, NY, USA.
Niccolò BolliDepartment of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.
Yanming ZhangCytogenetics Laboratory, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Ahmet DoganHematopathology Service, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0001-6576-5256
Alexander M LesokhinMyeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Gareth J MorganMyeloma Research Program, NYU Langone, Perlmutter Cancer Center, New York, NY, USA.ORCID 0000-0002-4271-6360
Ola LandgrenMyeloma Service, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA.ORCID 0000-0001-6485-4839
Francesco MauraMyeloma Service, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA. fxm557@med.miami.edu.ORCID 0000-0002-5017-1620

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Tumor Biology Research ProgramP30CA240139 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Daniel Bilbao · 2019 to 2026
$24.1M
NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA240139
6 · The paper itself

Abstract

Chromothripsis is detectable in 20-30% of newly diagnosed multiple myeloma (NDMM) patients and is emerging as a new independent adverse prognostic factor. In this study we interrogate 752 NDMM patients using whole genome sequencing (WGS) to investigate the relationship of copy number (CN) signatures to chromothripsis and show they are highly associated. CN signatures are highly predictive of the presence of chromothripsis (AUC = 0.90) and can be used identify its adverse prognostic impact. The ability of CN signatures to predict the presence of chromothripsis is confirmed in a validation series of WGS comprised of 235 hematological cancers (AUC = 0.97) and an independent series of 34 NDMM (AUC = 0.87). We show that CN signatures can also be derived from whole exome data (WES) and using 677 cases from the same series of NDMM, we are able to predict both the presence of chromothripsis (AUC = 0.82) and its adverse prognostic impact. CN signatures constitute a flexible tool to identify the presence of chromothripsis and is applicable to WES and WGS data.

Indexed as

ChromothripsisGene DosageExome SequencingHumansMultiple MyelomaPrognosisWhole Genome Sequencing

Identifiers

PMID34453055
PMCPMC8397708

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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.