Evidence map›Paper›PMID 30809292›Full record

ArticleTheranostics2019

Comprehensive characterization of the mutational landscape in multiple myeloma cell lines reveals potential drivers and pathways associated with tumor progression and drug resistance.

Veronika Vikova, Michel Jourdan, Nicolas Robert, Guilhem Requirand, Stéphanie Boireau, Angélique Bruyer, Laure Vincent, Guillaume Cartron, Bernard Klein, Olivier Elemento and 2 more

Abstract read
In one paragraph

Article in Theranostics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

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  14. Multiple myeloma with high expression of SLC7A11 is sensitive to erastin-induced ferroptosis.Apoptosis : an international journal on programmed cell death · 2024
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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

12 authors.

Veronika VikovaIGH, CNRS, Univ Montpellier, France.
Michel JourdanIGH, CNRS, Univ Montpellier, France.
Nicolas RobertCHU Montpellier, Department of Biological Hematology, Montpellier, France.
Guilhem RequirandCHU Montpellier, Department of Biological Hematology, Montpellier, France.
Stéphanie BoireauCHU Montpellier, Department of Biological Hematology, Montpellier, France.
Angélique BruyerIGH, CNRS, Univ Montpellier, France.
Laure VincentCHU Montpellier, Department of Clinical Hematology, Montpellier, France.
Guillaume CartronUniv Montpellier, UFR de Médecine, Montpellier, France.
Bernard KleinIGH, CNRS, Univ Montpellier, France.
Olivier ElementoEnglander Institute for Precision Medicine, Institute for Computational Biomedicine, Weill Cornell Medical College, 1305 York Avenue, New York, NY 10021, USA.
Alboukadel KassambaraIGH, CNRS, Univ Montpellier, France.
Jérôme MoreauxIGH, CNRS, Univ Montpellier, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human multiple myeloma tumor cell lines (HMCLs) have been a cornerstone of research in multiple myeloma (MM) and have helped to shape our understanding of molecular processes that drive tumor progression. A comprehensive characterization of genomic mutations in HMCLs will provide a basis for choosing relevant cell line models to study a particular aspect of myeloma biology, or to screen for an antagonist of certain cancer pathways.

Indexed as

Disease ProgressionDNA Mutational AnalysisDrug Resistance, NeoplasmCell Line, TumorExomeGene Expression RegulationHumansMetabolic Networks and PathwaysMultiple MyelomaSignal TransductionWhole Genome Sequencingexome sequencinghuman multiple myeloma cell linesmutational landscape

Identifiers

PMID30809292
PMCPMC6376179

What OpenQuestion holds

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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.