Evidence map›Paper›PMID 31827071›Full record

ArticleBlood cancer journal2019

Comprehensive detection of recurring genomic abnormalities: a targeted sequencing approach for multiple myeloma.

Venkata Yellapantula, Malin Hultcrantz, Even H Rustad, Ester Wasserman, Dory Londono, Robert Cimera, Amanda Ciardiello, Heather Landau, Theresia Akhlaghi, Sham Mailankody and 10 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Blood cancer journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
5.7field-weighted citation impact, top 3% 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, 54 citations in OpenAlex.

  1. Review
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  4. Article
  5. Article
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  8. Review
  9. Review
  10. Genomic Classification and Individualized Prognosis in Multiple Myeloma.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Myeloma Genome Project Panel is a Comprehensive Targeted Genomics Panel for Molecular Profiling of Patients with Multiple Myeloma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Article
  16. Review
  17. Capture Rate of V(D)J Sequencing for Minimal Residual Disease Detection in Multiple Myeloma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Article
  18. Review
  19. Functional Impact of Genomic Complexity on the Transcriptome of Multiple Myeloma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 2 institutions in 3 countries.

Venkata YellapantulaMyeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Malin HultcrantzMyeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA. hultcram@mskcc.org.ORCID http://orcid.org/0000-0002-9045-6495
Even H RustadMyeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID http://orcid.org/0000-0002-9320-4963
Ester WassermanCytogenetics Laboratory, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Dory LondonoCytogenetics Laboratory, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Robert CimeraCytogenetics Laboratory, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Amanda CiardielloMyeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Heather LandauBone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Theresia AkhlaghiMyeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Sham MailankodyMyeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Minal PatelCenter for Hematological Malignancies, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Juan Santiago Medina-MartinezCenter for Hematological Malignancies, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID http://orcid.org/0000-0001-8444-153X
Juan Esteban Arango OssaCenter for Hematological Malignancies, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Max Fine LevineCenter for Hematological Malignancies, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Niccolo BolliUniversity of Milan, Department of Oncology and Onco-Hematology, Milan, Italy.
Francesco MauraMyeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Ahmet DoganHematopathology Laboratory, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID http://orcid.org/0000-0001-6576-5256
Elli PapaemmanuilCenter for Hematological Malignancies, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Yanming ZhangCytogenetics Laboratory, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. zhangy1@mskcc.org.
Ola LandgrenMyeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA. landgrec@mskcc.org.ORCID http://orcid.org/0000-0001-6485-4839
Memorial Sloan Kettering Cancer Center · USUniversity of Milan · IT

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Recent genomic research efforts in multiple myeloma have revealed clinically relevant molecular subgroups beyond conventional cytogenetic classifications. Implementing these advances in clinical trial design and in routine patient care requires a new generation of molecular diagnostic tools. Here, we present a custom capture next-generation sequencing (NGS) panel designed to identify rearrangements involving the IGH locus, arm level, and focal copy number aberrations, as well as frequently mutated genes in multiple myeloma in a single assay. We sequenced 154 patients with plasma cell disorders and performed a head-to-head comparison with the results from conventional clinical assays, i.e., fluorescent in situ hybridization (FISH) and single-nucleotide polymorphism (SNP) microarray. Our custom capture NGS panel had high sensitivity (>99%) and specificity (>99%) for detection of IGH translocations and relevant chromosomal gains and losses in multiple myeloma. In addition, the assay was able to capture novel genomic markers associated with poor outcome such as bi-allelic events involving TP53. In summary, we show that a multiple myeloma designed custom capture NGS panel can detect IGH translocations and CNAs with very high concordance in relation to FISH and SNP microarrays and importantly captures the most relevant and recurrent somatic mutations in multiple myeloma rendering this approach highly suitable for clinical application in the modern era.

Identifiers

PMID31827071
PMCPMC6906304
OpenAlexW2996700807

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.