Evidence map›Paper›PMID 18426791›Full record

ArticleMolecular & cellular proteomics : MCP2008

Protein profiling of human breast tumor cells identifies novel biomarkers associated with molecular subtypes.

Anthony Gonçalves, Emmanuelle Charafe-Jauffret, François Bertucci, Stéphane Audebert, Yves Toiron, Benjamin Esterni, Florence Monville, Carole Tarpin, Jocelyne Jacquemier, Gilles Houvenaeghel and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
5.6field-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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 85 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Adamantinomatous craniopharyngioma: advances in proteomic research.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2021
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. MET deregulation in breast cancer.Annals of translational medicine · 2015
    Review
  18. S100 proteins in cancer.Nature reviews. Cancer · 2015
    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

15 authors at 5 institutions in 1 country.

Anthony GonçalvesDepartment of Molecular Pharmacology, Marseille Research Cancer Center, Marseille, France.
Emmanuelle Charafe-Jauffret
François Bertucci
Stéphane Audebert
Yves Toiron
Benjamin Esterni
Florence Monville
Carole Tarpin
Jocelyne Jacquemier
Gilles Houvenaeghel
Christian Chabannon
Jean-Marc Extra
Patrice Viens
Jean-Paul Borg
Daniel Birnbaum
Institut Paoli-Calmettes · FRInserm · FRInstitut Pprime · FRInstitut de Neurobiologie de la Méditerranée · FRCentre de Recherche en Cancérologie de Marseille · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular subtypes of breast cancer with relevant biological and clinical features have been defined recently, notably ERBB2-overexpressing, basal-like, and luminal-like subtypes. To investigate the ability of mass spectrometry-based proteomics technologies to analyze the molecular complexity of human breast cancer, we performed a SELDI-TOF MS-based protein profiling of human breast cell lines (BCLs). Triton-soluble proteins from 27 BCLs were incubated with ProteinChip arrays and subjected to SELDI analysis. Unsupervised global hierarchical clustering spontaneously discriminated two groups of BCLs corresponding to "luminal-like" cell lines and to "basal-like" cell lines, respectively. These groups of BCLs were also different in terms of estrogen receptor status as well as expression of epidermal growth factor receptor and other basal markers. Supervised analysis revealed various protein biomarkers with differential expression in basal-like versus luminal-like cell lines. We identified two of them as a carboxyl terminus-truncated form of ubiquitin and S100A9. In a small series of frozen human breast tumors, we confirmed that carboxyl terminus-truncated ubiquitin is observed in primary breast samples, and our results suggest its higher expression in luminal-like tumors. S100A9 up-regulation was found as part of the transcriptionally defined basal-like cluster in DNA microarrays analysis of human tumors. S100A9 association with basal subtypes as well as its poor prognosis value was demonstrated on a series of 547 tumor samples from early breast cancer deposited in a tissue microarray. Our study shows the potential of integrated genomics and proteomics profiling to improve molecular knowledge of complex tumor phenotypes and identify biomarkers with valuable diagnostic or prognostic values.

Indexed as

Biomarkers, TumorGene Expression ProfilingBreast NeoplasmsCalgranulin BCell Line, TumorHumansOligonucleotide Array Sequence AnalysisProtein IsoformsProteomeSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationUbiquitinBiomarkers, TumorCalgranulin BProtein IsoformsProteomeUbiquitin

Identifiers

PMID18426791
PMCPMC2500227
OpenAlexW2133315981

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.