Evidence map›Paper›PMID 30914633›Full record

ArticleBlood cancer journal2019

Deciphering the chronology of copy number alterations in Multiple Myeloma.

Anil Aktas Samur, Stephane Minvielle, Masood Shammas, Mariateresa Fulciniti, Florence Magrangeas, Paul G Richardson, Philippe Moreau, Michel Attal, Kenneth C Anderson, Giovanni Parmigiani and 3 more

Open 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. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

37 citing papers in PubMed, 63 citations in OpenAlex.

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  10. 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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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

13 authors at 5 institutions in 2 countries.

Anil Aktas SamurDepartment of Data Sciences, Dana Farber Cancer Institute, Boston, MA, 02215, USA.
Stephane MinvielleInserm UMR892, CNRS 6299, Université de Nantes; Centre Hospitalier Universitaire de Nantes, Unité Mixte de Genomique du Cancer, Nantes, France.
Masood ShammasDepartment of Medical Oncology, Dana Farber Cancer Institute, Harvard Medical School, Boston, MA, 02115, USA.
Mariateresa FulcinitiDepartment of Medical Oncology, Dana Farber Cancer Institute, Harvard Medical School, Boston, MA, 02115, USA.
Florence MagrangeasInserm UMR892, CNRS 6299, Université de Nantes; Centre Hospitalier Universitaire de Nantes, Unité Mixte de Genomique du Cancer, Nantes, France.
Paul G RichardsonDepartment of Medical Oncology, Dana Farber Cancer Institute, Harvard Medical School, Boston, MA, 02115, USA.
Philippe MoreauInserm UMR892, CNRS 6299, Université de Nantes; Centre Hospitalier Universitaire de Nantes, Unité Mixte de Genomique du Cancer, Nantes, France.
Michel AttalUniversity Cancer Center of Toulouse Institut National de la Santé, Toulouse, France.
Kenneth C AndersonDepartment of Medical Oncology, Dana Farber Cancer Institute, Harvard Medical School, Boston, MA, 02115, USA.
Giovanni ParmigianiDepartment of Data Sciences, Dana Farber Cancer Institute, Boston, MA, 02215, USA.
Hervé Avet-LoiseauUniversity Cancer Center of Toulouse Institut National de la Santé, Toulouse, France. avet-loiseau.h@chu-toulouse.fr.
Nikhil C MunshiDepartment of Medical Oncology, Dana Farber Cancer Institute, Harvard Medical School, Boston, MA, 02115, USA. nikhil_munshi@dfci.harvard.edu.
Mehmet Kemal SamurDepartment of Data Sciences, Dana Farber Cancer Institute, Boston, MA, 02215, USA. mehmet_samur@dfci.harvard.edu.
Harvard University · USDana-Farber Cancer Institute · USCentre National de la Recherche Scientifique · FRInserm · FRNantes Université · FR

Funding

Trageting the Multiple Myeloma EpigenomeP50CA100707 · NCI · DANA-FARBER CANCER INSTITUTE · PI ANDERSON, KENNETH C., MUNSHI, NIKHIL C. · 2003 to 2023
$45.0M
Targeting Genomic Instability and Evolution in MyelomaP01CA155258 · NCI · DANA-FARBER CANCER INST · PI RICHARD YOUNG · 2011 to 2026
$32.5M
MOLECULAR MANIPULATION TO ENHANCE ANTI-MYELOMA RESPONSEI01BX001584 · VA · VA BOSTON HEALTH CARE SYSTEM · PI MUNSHI, NIKHIL C. · 2013 to 2025
–
BLRD VA I01 BX001584NCI NIH HHS P01 CA155258NCI NIH HHS P50 CA100707
6 · The paper itself

Abstract

Multiple myeloma (MM) and its precursor condition MGUS are characterized by chromosomal aberrations. Here, we comprehensively characterize the order of occurrence of these complex genomic events underlying MM development using 500 MGUS, and MM samples. We identify hyperdiploid MM (HMM) and non-HMM as genomically distinct entities with different evolution of the copy number alterations. In HMM, gains of 9,15 or 19 are the first and clonal events observed as clonal even at MGUS stage. These events are thus early and may underlie initial transformation of normal plasma cells to MGUS cells. However, CNAs may not be adequate for progression to MM except in 15% of the patients in whom the complex subclonal deletion events are observed in MM but not MGUS. In NHMM, besides the driver translocations, clonal deletion of 13 and 1q gain are early events also observed in MGUS. We combined this information to propose a timeline for copy number alteration.

Indexed as

DNA Copy Number VariationsHumansMultiple Myeloma

Identifiers

PMID30914633
PMCPMC6435669
OpenAlexW2924887250

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.