Evidence map›Paper›PMID 25322877›Full record

ArticleBMC genomics2014

Identification of proteins found to be significantly altered when comparing the serum proteome from Multiple Myeloma patients with varying degrees of bone disease.

Paul Dowling, Catriona Hayes, Kay Reen Ting, Abdul Hameed, Justine Meiller, Constantine Mitsiades, Kenneth C Anderson, Martin Clynes, Colin Clarke, Paul Richardson and 1 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.5field-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

21 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Protein Digestion for 2D-DIGE Analysis.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Proteomics-inspired precision medicine for treating and understanding multiple myeloma.Expert review of precision medicine and drug development · 2020
    Article
  13. Article
  14. Article
  15. Differential expression of serum proteins in multiple myeloma.Experimental and therapeutic medicine · 2019
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Towards Stratified Medicine in Plasma Cell Myeloma.International journal of molecular sciences · 2016
    Review
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

11 authors at 5 institutions in 2 countries.

Paul DowlingDepartment of Biology, National University of Ireland, Maynooth, Co, Kildare, Ireland. paul.dowling@nuim.ie.
Catriona Hayes
Kay Reen Ting
Abdul Hameed
Justine Meiller
Constantine Mitsiades
Kenneth C Anderson
Martin Clynes
Colin Clarke
Paul Richardson
Peter O'Gorman
Dublin City University · IEHarvard University · USMater Misericordiae University Hospital · IEDana-Farber Cancer Institute · USNational University of Ireland, Maynooth · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBone destruction is a feature of multiple myeloma, characterised by osteolytic bone destruction due to increased osteoclast activity and suppressed or absent osteoblast activity. Almost all multiple myeloma patients develop osteolytic bone lesions associated with severe and debilitating bone pain, pathologic fractures, hypercalcemia, and spinal cord compression, as well as increased mortality. Biomarkers of bone remodelling are used to identify disease characteristics that can help select the optimal management of patients. However, more accurate biomarkers are needed to effectively mirror the dynamics of bone disease activity.

resultsA label-free mass spectrometry-based strategy was employed for discovery phase analysis of fractionated patient serum samples associated with no or high bone disease. A number of proteins were identified which were statistically significantly correlated with bone disease, including enzymes, extracellular matrix glycoproteins, and components of the complement system.

conclusionsEnzyme-linked immunosorbent assay of complement C4 and serum paraoxonase/arylesterase 1 indicated that these proteins were associated with high bone disease in a larger independent cohort of patient samples. These biomolecules may therefore be clinically useful in assessing the extent of bone disease.

Indexed as

ProteomicsArea Under CurveBone DiseasesHumansMultiple MyelomaProteomeProteome

Identifiers

PMID25322877
PMCPMC4213504
OpenAlexW2140513123

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.