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, Matthew Albertolle, Jason M. Held, Demetris Iacovides, Dylan J. Sorensen, Obi L. Griffith, Eric Johansen, Anna M. Zawadzka, Michael P. Cusack, Simon Allen, Matthew GormleySteven C. Hall, H. Ewa Witkowska, Joe Gray, Fred Regnier, Bradford W. Gibson, Susan J. Fisher

Research output: Contribution to journalArticle

40 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)2508-2520
Number of pages13
JournalJournal of Proteome Research
Volume11
Issue number4
DOIs
StatePublished - Apr 6 2012

Fingerprint

Workflow
Biomarkers
Chromatography
Lectins
Mass spectrometry
Mass Spectrometry
Glycoproteins
Sambucus nigra
Cells
Breast Neoplasms
Sialyltransferases
Glycosylation
Cell Line
Gene encoding
Fucose
Agglutinins
N-Acetylneuraminic Acid
Cellular Structures
Scaffolds (biology)
Tumor Biomarkers

Keywords

  • AAL
  • breast cancer
  • fucose
  • lectin chromatography
  • lectins
  • sialic acid
  • SNA
  • triple-negative

ASJC Scopus subject areas

  • Biochemistry
  • Chemistry(all)

Cite this

Drake, P. M., Schilling, B., Niles, R. K., Prakobphol, A., Li, B., Jung, K., ... Fisher, S. J. (2012). Lectin chromatography/mass spectrometry discovery workflow identifies putative biomarkers of aggressive breast cancers. Journal of Proteome Research, 11(4), 2508-2520. https://doi.org/10.1021/pr201206w

Lectin chromatography/mass spectrometry discovery workflow identifies putative biomarkers of aggressive breast cancers. / Drake, Penelope M.; Schilling, Birgit; Niles, Richard K.; Prakobphol, Akraporn; Li, Bensheng; Jung, Kwanyoung; Cho, Wonryeon; Braten, Miles; Inerowicz, Halina D.; Williams, Katherine; Albertolle, Matthew; Held, Jason M.; Iacovides, Demetris; Sorensen, Dylan J.; Griffith, Obi L.; Johansen, Eric; Zawadzka, Anna M.; Cusack, Michael P.; Allen, Simon; Gormley, Matthew; Hall, Steven C.; Witkowska, H. Ewa; Gray, Joe; Regnier, Fred; Gibson, Bradford W.; Fisher, Susan J.

In: Journal of Proteome Research, Vol. 11, No. 4, 06.04.2012, p. 2508-2520.

Research output: Contribution to journalArticle

Drake, PM, Schilling, B, Niles, RK, Prakobphol, A, Li, B, Jung, K, Cho, W, Braten, M, Inerowicz, HD, Williams, K, Albertolle, M, Held, JM, Iacovides, D, Sorensen, DJ, Griffith, OL, Johansen, E, Zawadzka, AM, Cusack, MP, Allen, S, Gormley, M, Hall, SC, Witkowska, HE, Gray, J, Regnier, F, Gibson, BW & Fisher, SJ 2012, 'Lectin chromatography/mass spectrometry discovery workflow identifies putative biomarkers of aggressive breast cancers', Journal of Proteome Research, vol. 11, no. 4, pp. 2508-2520. https://doi.org/10.1021/pr201206w
Drake, Penelope M. ; Schilling, Birgit ; Niles, Richard K. ; Prakobphol, Akraporn ; Li, Bensheng ; Jung, Kwanyoung ; Cho, Wonryeon ; Braten, Miles ; Inerowicz, Halina D. ; Williams, Katherine ; Albertolle, Matthew ; Held, Jason M. ; Iacovides, Demetris ; Sorensen, Dylan J. ; Griffith, Obi L. ; Johansen, Eric ; Zawadzka, Anna M. ; Cusack, Michael P. ; Allen, Simon ; Gormley, Matthew ; Hall, Steven C. ; Witkowska, H. Ewa ; Gray, Joe ; Regnier, Fred ; Gibson, Bradford W. ; Fisher, Susan J. / Lectin chromatography/mass spectrometry discovery workflow identifies putative biomarkers of aggressive breast cancers. In: Journal of Proteome Research. 2012 ; Vol. 11, No. 4. pp. 2508-2520.
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AU - Li, Bensheng

AU - Jung, Kwanyoung

AU - Cho, Wonryeon

AU - Braten, Miles

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AU - Williams, Katherine

AU - Albertolle, Matthew

AU - Held, Jason M.

AU - Iacovides, Demetris

AU - Sorensen, Dylan J.

AU - Griffith, Obi L.

AU - Johansen, Eric

AU - Zawadzka, Anna M.

AU - Cusack, Michael P.

AU - Allen, Simon

AU - Gormley, Matthew

AU - Hall, Steven C.

AU - Witkowska, H. Ewa

AU - Gray, Joe

AU - Regnier, Fred

AU - Gibson, Bradford W.

AU - Fisher, Susan J.

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