Evidence map›Paper›PMID 23406016›Full record

ArticleMolecular cancer2013

Combining phenotypic and proteomic approaches to identify membrane targets in a 'triple negative' breast cancer cell type.

Steven Rust, Sandrine Guillard, Kris Sachsenmeier, Carl Hay, Max Davidson, Anders Karlsson, Roger Karlsson, Erin Brand, David Lowne, John Elvin and 5 more

Open access · goldAbstract read
In one paragraph

Article in Molecular cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
7.7field-weighted citation impact, top 2% 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

30 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Sym024 Interacts with a Unique Epitope on the CD73 Homodimer, Favoring Effective Bivalent Binding to Improve Anti-PD-1 Therapy.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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  7. Deep Mining of Complex Antibody Phage Pools.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  8. Progesterone activates GPR126 to promote breast cancer development via the Gi pathway.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  9. Article
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  11. Article
  12. Review
  13. Article
  14. Discovery of internalizing antibodies to basal breast cancer cells.Protein engineering, design & selection : PEDS · 2018
    Article
  15. Review
  16. Review
  17. Article
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  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 2 institutions in 2 countries.

Steven RustMedImmune, Granta Park, Cambridge, CB21 6GH, UK. rusts@medimmune.com
Sandrine Guillard
Kris Sachsenmeier
Carl Hay
Max Davidson
Anders Karlsson
Roger Karlsson
Erin Brand
David Lowne
John Elvin
Matt Flynn
Gene Kurosawa
Robert Hollingsworth
Lutz Jermutus
Ralph Minter
Ericsson (Sweden) · SEFujita Health University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe continued discovery of therapeutic antibodies, which address unmet medical needs, requires the continued discovery of tractable antibody targets. Multiple protein-level target discovery approaches are available and these can be used in combination to extensively survey relevant cell membranomes. In this study, the MDA-MB-231 cell line was selected for membranome survey as it is a 'triple negative' breast cancer cell line, which represents a cancer subtype that is aggressive and has few treatment options.

methodsThe MDA-MB-231 breast carcinoma cell line was used to explore three membranome target discovery approaches, which were used in parallel to cross-validate the significance of identified antigens. A proteomic approach, which used membrane protein enrichment followed by protein identification by mass spectrometry, was used alongside two phenotypic antibody screening approaches. The first phenotypic screening approach was based on hybridoma technology and the second was based on phage display technology. Antibodies isolated by the phenotypic approaches were tested for cell specificity as well as internalisation and the targets identified were compared to each other as well as those identified by the proteomic approach. An anti-CD73 antibody derived from the phage display-based phenotypic approach was tested for binding to other 'triple negative' breast cancer cell lines and tested for tumour growth inhibitory activity in a MDA-MB-231 xenograft model.

resultsAll of the approaches identified multiple cell surface markers, including integrins, CD44, EGFR, CD71, galectin-3, CD73 and BCAM, some of which had been previously confirmed as being tractable to antibody therapy. In total, 40 cell surface markers were identified for further study. In addition to cell surface marker identification, the phenotypic antibody screening approaches provided reagent antibodies for target validation studies. This is illustrated using the anti-CD73 antibody, which bound other 'triple negative' breast cancer cell lines and produced significant tumour growth inhibitory activity in a MDA-MB-231 xenograft model.

conclusionsThis study has demonstrated that multiple methods are required to successfully analyse the membranome of a desired cell type. It has also successfully demonstrated that phenotypic antibody screening provides a mechanism for rapidly discovering and evaluating antibody tractable targets, which can significantly accelerate the therapeutic discovery process.

Indexed as

5'-NucleotidaseAnimalsAntineoplastic Agents, PhytogenicBiomarkers, TumorBreast NeoplasmsCell Line, TumorDrug CarriersErb-b2 Receptor Tyrosine KinasesFemaleGPI-Linked ProteinsHumansHybridomasMembrane ProteinsMiceMice, NudePeptide Library5'-NucleotidaseAntineoplastic Agents, PhytogenicBiomarkers, TumorDrug CarriersERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesGPI-Linked ProteinsMembrane ProteinsNT5E protein, humanPeptide LibraryProteomeReceptors, EstrogenReceptors, ProgesteroneRibosome Inactivating Proteins, Type 1SaporinsSingle-Chain Antibodies

Identifiers

PMID23406016
PMCPMC3582597
OpenAlexW2146577096

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.