Evidence map›Paper›PMID 35276027›Full record

ArticleEuropean journal of haematology2022

Highly expressed genes in multiple myeloma cells - what can they tell us about the disease?

Magne Børset, Samah Elsaadi, Esten N Vandsemb, Eli Svorkdal Hess, Ida J Steiro, Miguel Cocera Fernandez, Anne-Marit Sponaas, Pegah Abdollahi

Open access · hybridAbstract read
In one paragraph

Article in European journal of haematology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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  4. Review
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  6. Targeting PRL phosphatases in hematological malignancies.Expert opinion on therapeutic targets · 2024
    Review
  7. 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

8 authors at 1 institution in 1 country.

Magne BørsetDepartment of Clinical and Molecular Medicine, Center for Myeloma Research, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.ORCID https://orcid.org/0000-0001-5179-2835
Samah ElsaadiDepartment of Clinical and Molecular Medicine, Center for Myeloma Research, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Esten N VandsembDepartment of Clinical and Molecular Medicine, Center for Myeloma Research, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Eli Svorkdal HessDepartment of Clinical and Molecular Medicine, Center for Myeloma Research, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Ida J SteiroDepartment of Clinical and Molecular Medicine, Center for Myeloma Research, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.ORCID https://orcid.org/0000-0003-2681-2317
Miguel Cocera FernandezDepartment of Clinical and Molecular Medicine, Center for Myeloma Research, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Anne-Marit SponaasDepartment of Clinical and Molecular Medicine, Center for Myeloma Research, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Pegah AbdollahiDepartment of Clinical and Molecular Medicine, Center for Myeloma Research, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Norwegian University of Science and Technology · NO

Funding

Rakel and Otto Kr. Bruun's legacyThe Cancer Fund (Kreftfondet) at St. Olav's HospitalThe Joint Research Committee between St. Olav's Hospital and the Faculty of Medicine and Health Science, NTNU (Felles Forskningsutvalg)The Liaison Committee for education, research and innovation in Central Norway (Samarbeidsorganet)
6 · The paper itself

Abstract

Cancer cells can convert proto-oncoproteins into oncoproteins by increasing the expression of genes that are oncogenic when expressed at high levels. Such genes can promote oncogenesis without being mutated. To find overexpressed genes in cancer cells from patients with multiple myeloma, we retrieved mRNA expression data from the CoMMpass database and ranked genes by their expression levels. We grouped the most highly expressed genes based on a set of criteria and we discuss the role a selection of them can play in the disease pathophysiology. The list was highly concordant with a similar list based on mRNA expression data from the PADIMAC study. Many well-known "myeloma genes" such as MCL1, CXCR4, TNFRSF17, SDC1, SLAMF7, PTP4A3, and XBP1 were identified as highly expressed, and we believe that hitherto unrecognized key players in myeloma pathogenesis are also enriched on the list. Highly expressed genes in malignant plasma cells that were absent or expressed at only a low level in healthy plasma cells included IFI6, IFITM1, PTP4A3, SIK1, ALDOA, ATP5MF, ATP5ME, and PSMB4. The ambition of this article is not to validate the role of each gene but to serve as a guide for studies aiming at identifying promising treatment targets.

Indexed as

Multiple MyelomaHumansNeoplasm ProteinsOncogene ProteinsOncogenesPlasma CellsProteasome Endopeptidase ComplexProtein Tyrosine PhosphatasesRNA, MessengerNeoplasm ProteinsOncogene ProteinsProteasome Endopeptidase ComplexProtein Tyrosine PhosphatasesPSMB4 protein, humanPTP4A3 protein, humanRNA, MessengerB2MBCMACD74FOSHBBJUNmultiple myelomaTCTPTPT1β2-microglobulin

Identifiers

PMID35276027
PMCPMC9310595
OpenAlexW4220738835

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.