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Targeted glycoproteomic identification of biomarkers for human breast carcinoma.

ABSTRACT: Glycosylation is a dynamic post-translational modification that changes during the development and progression of various malignancies. During the oncogenesis of breast carcinoma, the glycosyltransferase known as N-acetylglucosaminyltransferase Va (GnT-Va) transcript levels and activity are increased due to activated oncogenic signaling pathways. Elevated GnT-V levels leads to increased beta(1,6)-branched N-linked glycan structures on glycoproteins that can be measured using a specific carbohydrate binding protein or lectin known as L-PHA. L-PHA does not bind to nondiseased breast epithelial cells, but during the progression to invasive carcinoma, cells show a progressive increase in L-PHA binding. We have developed a procedure for intact protein L-PHA-affinity enrichment, followed by nanospray ionization mass spectrometry (NSI-MS/MS), to identify potential biomarkers for breast carcinoma. We identified L-PHA reactive glycoproteins from matched normal (nondiseased) and malignant tissue isolated from patients with invasive ductal breast carcinoma. Comparison analysis of the data identified 34 proteins that were enriched by L-PHA fractionation in tumor relative to normal tissue for at least 2 cases of ductal invasive breast carcinoma. Of these 34 L-PHA tumor enriched proteins, 12 are common to all 4 matched cases analyzed. These results indicate that lectin enrichment strategies targeting a particular glycan change associated with malignancy can be an effective method of identifying potential biomarkers for breast carcinoma.

SUBMITTER: Abbott KL

PROVIDER: S-EPMC4932838 | biostudies-literature | 2008 Apr

REPOSITORIES: biostudies-literature

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Targeted glycoproteomic identification of biomarkers for human breast carcinoma.

Abbott Karen L KL Aoki Kazuhiro K Lim Jae-Min JM Porterfield Mindy M Johnson Rachelle R O'Regan Ruth M RM Wells Lance L Tiemeyer Michael M Pierce Michael M

Journal of proteome research 20080214 4

Glycosylation is a dynamic post-translational modification that changes during the development and progression of various malignancies. During the oncogenesis of breast carcinoma, the glycosyltransferase known as N-acetylglucosaminyltransferase Va (GnT-Va) transcript levels and activity are increased due to activated oncogenic signaling pathways. Elevated GnT-V levels leads to increased beta(1,6)-branched N-linked glycan structures on glycoproteins that can be measured using a specific carbohydr ...[more]

PMID: 18271524

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Project description:Breast carcinoma (BC) is the leading cause of death in women worldwide, making up 23% of all cancers in women, with 1.38 million new cases worldwide annually and responsible for 460,000 deaths. Despite the significant advances in the identification of molecular markers and different modalities of treatment in primary BC, the ability to predict the metastatic behavior in breast cancer is still limited. The purpose of this study was to help identify novel molecular markers associated with clinical outcome in a cohort of Brazilian BC patients. We generated global gene expression profiles from 24 patients with invasive ductal BC followed for â¥ 5-years, including 15 samples from patients classified as presenting good prognosis based on traditional markers and clinical criteria and 9 patients that developed metastasis. We identified a set of 58 differentially expressed genes (p â¤0.01) between groups of patients with good and poor prognosis. Up-regulation of B3GNT7, PPM1D, TNKS2, PHB and GTSE1 in patients with poor prognosis was confirmed by quantitative RT-PCR in an independent sample set from patients with BC (47 with good prognosis and 8 that presented metastasis). Expression of BAD protein was investigated by immunohistochemistry in 1276 BC samples and confirmed the reduced expression levels in metastatic cases observed in the oligoarray data. These findings point to novel prognostic markers that can distinguish breast carcinoma samples according to clinical course and progression of the disease. Global expression profiles from 38 ductal breast tumor patient samples were used to search for molecular signatures correlated with current prognostic markers. A subset of 24 cases comprising 15 patients that remained free of disease after surgery and 9 patients that developed metastasis was used to identify candidate biomarkers associated with metastatic progression. Candidates were subsequently validated in additional independent samples by RT-qPCR or immunohistochemistry.

Dataset Information

Targeted glycoproteomic identification of biomarkers for human breast carcinoma.

Publications

Targeted glycoproteomic identification of biomarkers for human breast carcinoma.

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