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Investigation of ovarian cancer associated sialylation changes in N-linked glycopeptides by quantitative proteomics
BACKGROUND: In approximately 80% of patients, ovarian cancer is diagnosed when the patient is already in the advanced stages of the disease. CA125 is currently used as the marker for ovarian cancer; however, it lacks specificity and sensitivity for detecting early stage disease. There is a critical...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3488482/ https://www.ncbi.nlm.nih.gov/pubmed/22856521 http://dx.doi.org/10.1186/1559-0275-9-10 |
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author | Shetty, Vivekananda Hafner, Julie Shah, Punit Nickens, Zacharie Philip, Ramila |
author_facet | Shetty, Vivekananda Hafner, Julie Shah, Punit Nickens, Zacharie Philip, Ramila |
author_sort | Shetty, Vivekananda |
collection | PubMed |
description | BACKGROUND: In approximately 80% of patients, ovarian cancer is diagnosed when the patient is already in the advanced stages of the disease. CA125 is currently used as the marker for ovarian cancer; however, it lacks specificity and sensitivity for detecting early stage disease. There is a critical unmet need for sensitive and specific routine screening tests for early diagnosis that can reduce ovarian cancer lethality by reliably detecting the disease at its earliest and treatable stages. RESULTS: In this study, we investigated the N-linked sialylated glycopeptides in serum samples from healthy and ovarian cancer patients using Lectin-directed Tandem Labeling (LTL) and iTRAQ quantitative proteomics methods. We identified 45 N-linked sialylated glycopeptides containing 46 glycosylation sites. Among those, ten sialylated glycopeptides were significantly up-regulated in ovarian cancer patients’ serum samples. LC-MS/MS analysis of the non-glycosylated peptides from the same samples, western blot data using lectin enriched glycoproteins of various ovarian cancer type samples, and PNGase F (+/−) treatment confirmed the sialylation changes in the ovarian cancer samples. CONCLUSION: Herein, we demonstrated that several proteins are aberrantly sialylated in N-linked glycopeptides in ovarian cancer and detection of glycopeptides with abnormal sialylation changes may have the potential to serve as biomarkers for ovarian cancer. |
format | Online Article Text |
id | pubmed-3488482 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Springer |
record_format | MEDLINE/PubMed |
spelling | pubmed-34884822012-11-05 Investigation of ovarian cancer associated sialylation changes in N-linked glycopeptides by quantitative proteomics Shetty, Vivekananda Hafner, Julie Shah, Punit Nickens, Zacharie Philip, Ramila Clin Proteomics Research BACKGROUND: In approximately 80% of patients, ovarian cancer is diagnosed when the patient is already in the advanced stages of the disease. CA125 is currently used as the marker for ovarian cancer; however, it lacks specificity and sensitivity for detecting early stage disease. There is a critical unmet need for sensitive and specific routine screening tests for early diagnosis that can reduce ovarian cancer lethality by reliably detecting the disease at its earliest and treatable stages. RESULTS: In this study, we investigated the N-linked sialylated glycopeptides in serum samples from healthy and ovarian cancer patients using Lectin-directed Tandem Labeling (LTL) and iTRAQ quantitative proteomics methods. We identified 45 N-linked sialylated glycopeptides containing 46 glycosylation sites. Among those, ten sialylated glycopeptides were significantly up-regulated in ovarian cancer patients’ serum samples. LC-MS/MS analysis of the non-glycosylated peptides from the same samples, western blot data using lectin enriched glycoproteins of various ovarian cancer type samples, and PNGase F (+/−) treatment confirmed the sialylation changes in the ovarian cancer samples. CONCLUSION: Herein, we demonstrated that several proteins are aberrantly sialylated in N-linked glycopeptides in ovarian cancer and detection of glycopeptides with abnormal sialylation changes may have the potential to serve as biomarkers for ovarian cancer. Springer 2012-08-02 /pmc/articles/PMC3488482/ /pubmed/22856521 http://dx.doi.org/10.1186/1559-0275-9-10 Text en Copyright ©2012 Shetty et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Shetty, Vivekananda Hafner, Julie Shah, Punit Nickens, Zacharie Philip, Ramila Investigation of ovarian cancer associated sialylation changes in N-linked glycopeptides by quantitative proteomics |
title | Investigation of ovarian cancer associated sialylation changes in N-linked glycopeptides by quantitative proteomics |
title_full | Investigation of ovarian cancer associated sialylation changes in N-linked glycopeptides by quantitative proteomics |
title_fullStr | Investigation of ovarian cancer associated sialylation changes in N-linked glycopeptides by quantitative proteomics |
title_full_unstemmed | Investigation of ovarian cancer associated sialylation changes in N-linked glycopeptides by quantitative proteomics |
title_short | Investigation of ovarian cancer associated sialylation changes in N-linked glycopeptides by quantitative proteomics |
title_sort | investigation of ovarian cancer associated sialylation changes in n-linked glycopeptides by quantitative proteomics |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3488482/ https://www.ncbi.nlm.nih.gov/pubmed/22856521 http://dx.doi.org/10.1186/1559-0275-9-10 |
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