Evidence map›Paper›PMID 37511018›Full record

ReviewInternational journal of molecular sciences2023

Genetic Abnormalities in Extramedullary Multiple Myeloma.

Roisin McAvera, John Quinn, Philip Murphy, Siobhan Glavey

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
6.4field-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

19 citing papers in PubMed, 22 citations in OpenAlex.

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  18. Cancers · 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

4 authors at 2 institutions in 1 country.

Roisin McAveraDepartment of Pathology, Royal College of Surgeons in Ireland, D09 YD60 Dublin, Ireland.ORCID 0000-0002-1222-3047
John QuinnDepartment of Haematology, Beaumont Hospital, D09 V2N0 Dublin, Ireland.
Philip MurphyDepartment of Haematology, Beaumont Hospital, D09 V2N0 Dublin, Ireland.
Siobhan GlaveyDepartment of Pathology, Royal College of Surgeons in Ireland, D09 YD60 Dublin, Ireland.ORCID 0000-0002-8601-2090
Royal College of Surgeons in Ireland · IEBeaumont Hospital · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extramedullary multiple myeloma (or extramedullary disease, EMD) is an aggressive form of multiple myeloma (MM) that occurs when malignant plasma cells become independent of the bone marrow microenvironment. This may occur alongside MM diagnosis or in later stages of relapse and confers an extremely poor prognosis. In the era of novel agents and anti-myeloma therapies, the incidence of EMD is increasing, making this a more prevalent and challenging cohort of patients. Therefore, understanding the underlying mechanisms of bone marrow escape and EMD driver events is increasingly urgent. The role of genomics in MM has been studied extensively; however, much less is known about the genetic background of EMD. Recently there has been an increased focus on driver events for the establishment of distant EMD sites. Generally, high-risk cytogenetic abnormalities and gene signatures are associated with EMD, alongside mutations in RAS signalling pathways. More recently, changes in epigenetic regulation have also been documented, specifically the hypermethylation of DNA promoter regions. Therefore, the focus of this review is to summarize and discuss what is currently known about the genetic background of EMD in MM.

Indexed as

Multiple MyelomaBone MarrowEpigenesis, GeneticHumansNeoplasm Recurrence, LocalPlasma CellsTumor Microenvironmentextramedullary myelomagenomicshigh-riskmultiple myeloma

Identifiers

PMID37511018
PMCPMC10379577
OpenAlexW4383695155

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.