Lectin chromatography/mass spectrometry discovery workflow identifies putative biomarkers of aggressive breast cancers.
Lectin chromatography/mass spectrometry discovery workflow identifies putative biomarkers of aggressive breast cancers.
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DOI:
10.1021/pr201206w
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发表时间:
2012-04-06
影响因子:
4.4
通讯作者:
Fisher SJ
中科院分区:
文献类型:
--
作者:
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 JW;Regnier F;Gibson BW;Fisher SJ
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 upregulated 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.
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影响因子:
3
作者:
Akasaka-Manya, Keiko;Manya, Hiroshi;Endo, Tamao
通讯作者:
Endo, Tamao
影响因子:
4.8
作者:
Garrigue-Antar, L;Hartigan, N;Kadler, KE
通讯作者:
Kadler, KE
影响因子:
2
作者:
Bast, RC;Xu, FJ;Mills, GB
通讯作者:
Mills, GB
DOI:
10.1111/j.2517-6161.1995.tb02031.x
发表时间:
1995-01-01
影响因子:
5.8
作者:
BENJAMINI, Y;HOCHBERG, Y
通讯作者:
HOCHBERG, Y
影响因子:
56.9
作者:
Bergers, G;Javaherian, K;Hanahan, D
通讯作者:
Hanahan, D