Evidence map›Paper›PMID 29662010›Full record

ReviewInternational journal of molecular sciences2018

Metabolic Features of Multiple Myeloma.

Chaima El Arfani, Kim De Veirman, Ken Maes, Elke De Bruyne, Eline Menu

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

47 citing papers in PubMed, 72 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Construction of a treatment response prediction model for multiple myeloma based on multi-omics and machine learning.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Targeting the βThe Journal of pathology · 2023
    Article
  18. Review
  19. Article
  20. Article
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

5 authors at 1 institution in 1 country.

Chaima El ArfaniDepartment of Hematology and Immunology, Myeloma Center Brussels, Vrije Universiteit Brussel (VUB), 1090 Brussels, Belgium. Chaima.El.Arfani@vub.be.
Kim De VeirmanDepartment of Hematology and Immunology, Myeloma Center Brussels, Vrije Universiteit Brussel (VUB), 1090 Brussels, Belgium. kdeveirm@vub.ac.be.
Ken MaesDepartment of Hematology and Immunology, Myeloma Center Brussels, Vrije Universiteit Brussel (VUB), 1090 Brussels, Belgium. ken.maes@vub.be.
Elke De BruyneDepartment of Hematology and Immunology, Myeloma Center Brussels, Vrije Universiteit Brussel (VUB), 1090 Brussels, Belgium. Elke.De.Bruyne@vub.be.
Eline MenuDepartment of Hematology and Immunology, Myeloma Center Brussels, Vrije Universiteit Brussel (VUB), 1090 Brussels, Belgium. Eline.Menu@vub.be.ORCID 0000-0002-0805-6581
Vrije Universiteit Brussel · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is known for its cellular changes contributing to tumour growth and cell proliferation. As part of these changes, metabolic rearrangements are identified in several cancers, including multiple myeloma (MM), which is a condition whereby malignant plasma cells accumulate in the bone marrow (BM). These metabolic changes consist of generation, inhibition and accumulation of metabolites and metabolic shifts in MM cells. Changes in the BM micro-environment could be the reason for such adjustments. Enhancement of glycolysis and glutaminolysis is found in MM cells compared to healthy cells. Metabolites and enzymes can be upregulated or downregulated and play a crucial role in drug resistance. Therefore, this review will focus on changes in glucose and glutamine metabolism linked with the emergence of drug resistance. Moreover, metabolites do not only affect other metabolic components to benefit cancer development; they also interfere with transcription factors involved in proliferation and apoptotic regulation.

Indexed as

AnimalsAntineoplastic AgentsBone MarrowDrug Resistance, NeoplasmGlucoseGlutamic AcidHumansMetabolic Networks and PathwaysMultiple MyelomaTumor MicroenvironmentAntineoplastic AgentsGlucoseGlutamic Acidbone marrow micro-environmentmetabolismmultiple myeloma

Identifiers

PMID29662010
PMCPMC5979361
OpenAlexW2797422331

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.