Evidence map›Paper›PMID 22309216›Full record

ArticleJournal of proteome research2012

Lectin chromatography/mass spectrometry discovery workflow identifies putative biomarkers of aggressive breast cancers.

Penelope M Drake, Birgit Schilling, Richard K Niles, Akraporn Prakobphol, Bensheng Li, Kwanyoung Jung, Wonryeon Cho, Miles Braten, Halina D Inerowicz, Katherine Williams and 16 more

Abstract read
In one paragraph

Article in Journal of proteome research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 49 citations in OpenAlex.

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  16. Oncology letters · 2014
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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

26 authors at 6 institutions in 2 countries.

Penelope M DrakeDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, 513 Parnassus Avenue, Box 0665, San Francisco, California 94143, United States.
Birgit Schilling
Richard K Niles
Akraporn Prakobphol
Bensheng Li
Kwanyoung Jung
Wonryeon Cho
Miles Braten
Halina D Inerowicz
Katherine Williams
Matthew Albertolle
Jason M Held
Demetris Iacovides
Dylan J Sorensen
Obi L Griffith
Eric Johansen
Anna M Zawadzka
Michael P Cusack
Simon Allen
Matthew Gormley
Steven C Hall
H Ewa Witkowska
Joe W Gray
Fred Regnier
Bradford W Gibson
Susan J Fisher
University of California, San Francisco · USBuck Institute for Research on Aging · USPurdue University West Lafayette · USLawrence Berkeley National Laboratory · USOregon Health & Science University · USWonkwang University · KR

Funding

Translational InformaticsP30CA082103 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Jennifer Leigh Clarke · 1999 to 2026
$209.7M
Tissue and Outcomes CoreP50CA058207 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRAY, JOE W. · 1992 to 2012
$32.7M
Systems-Based Predictions of Responses to Cancer TherapyU54CA112970 · NCI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI MILLS, GORDON B. · 2004 to 2014
$27.1M
Targeted and global proteomic strategies for early breast cancer detectionU24CA126477 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FISHER, SUSAN J. · 2006 to 2011
$8.7M
The Berkeley Cancer Genome CenterU24CA126551 · NCI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI GRAY, JOE W. · 2006 to 2009
$5.4M
QSTAR Elite Quadrupole-o-TOF LC/MS/MS SystemS10RR024615 · NCRR · BUCK INSTITUTE FOR RESEARCH ON AGING · PI GIBSON, BRADFORD WAYNE · 2007 to 2007
$466k
CIHRNCI NIH HHS P30 CA082103NCI NIH HHS P50 CA058207NCI NIH HHS P50 CA 58207NCI NIH HHS U24 CA 126477NCI NIH HHS U24 CA126477NCI NIH HHS U24 CA 126551NCI NIH HHS U24 CA126551NCI NIH HHS U54 CA 112970NCI NIH HHS U54 CA112970NCRR NIH HHS S10 RR024615
6 · The paper itself

Abstract

We used a lectin chromatography/MS-based approach to screen conditioned medium from a panel of luminal (less aggressive) and triple negative (more aggressive) breast cancer cell lines (n=5/subtype). The samples were fractionated using the lectins Aleuria aurantia (AAL) and Sambucus nigra agglutinin (SNA), which recognize fucose and sialic acid, respectively. The bound fractions were enzymatically N-deglycosylated and analyzed by LC-MS/MS. In total, we identified 533 glycoproteins, ∼90% of which were components of the cell surface or extracellular matrix. We observed 1011 glycosites, 100 of which were solely detected in ≥3 triple negative lines. Statistical analyses suggested that a number of these glycosites were triple negative-specific and thus potential biomarkers for this tumor subtype. An analysis of RNaseq data revealed that approximately half of the mRNAs encoding the protein scaffolds that carried potential biomarker glycosites were up-regulated in triple negative vs luminal cell lines, and that a number of genes encoding fucosyl- or sialyltransferases were differentially expressed between the two subtypes, suggesting that alterations in glycosylation may also drive candidate identification. Notably, the glycoproteins from which these putative biomarker candidates were derived are involved in cancer-related processes. Thus, they may represent novel therapeutic targets for this aggressive tumor subtype.

Indexed as

Biomarkers, TumorBreast NeoplasmsCell Line, TumorChromatography, AffinityFemaleGlycoproteinsHumansLectinsMass SpectrometryMembrane ProteinsProteomeBiomarkers, TumorGlycoproteinsLectinsMembrane ProteinsProteome

Identifiers

PMID22309216
PMCPMC3383053
OpenAlexW2047783413

What OpenQuestion holds

Textmetadata
LicenceTDM
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.