Identification of differentially secreted biomarkers using LC-MS/MS in isogenic cell lines representing a progression of breast cancer.

Identification of differentially secreted biomarkers using LC-MS/MS in isogenic cell lines representing a progression of breast cancer. Research Abstract Details 

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Identification of differentially secreted biomarkers using LC-MS/MS in isogenic cell lines representing a progression of breast cancer. Abstract Text:

Flaubert Mbeunkui,Brandon J Metge,Lalita A Shevde,Lewis K Pannell,

Proteins secreted (the secretome) from cancer cells are potentially useful as biomarkers of the disease. Using LC-MS/MS, the secreted proteomes from a series of isogenic breast cancer cell lines varying in aggressiveness were analyzed by mass spectrometry: nontumorigenic MCF10A, premalignant/tumorigenic MCF10AT, tumorigenic/locally invasive MCF10 DCIS.com, and tumorigenic/metastatic MCF 10CA cl. D. Proteomes were obtained from conditioned serum-free media, partially fractionated using a small reverse phase C2 column, and digested with trypsin for analysis by LC-MS/MS, using a method previously shown to give highly enriched secreted proteomes (Mbeunkui et al. J. Proteome Res. 2006, 5, 899-906). The search files produced from five analyses (three separate preparations) were combined for database searching (Mascot) which produced a list of over 250 proteins from each cell line. The aim was to discover highly secreted proteins which changed significantly in abundance corresponding with aggressiveness. The most apparent changes were observed for alpha-1-antichymotrypsin and galectin-3-binding protein which were highly secreted proteins from MCF10 DCIS.com and MCF10CA cl. D, yet undetected in the MCF10A and MCF10AT cell lines. Other proteins showing increasing abundance in the more aggressive cell lines included alpha-1-antitrypsin, cathepsin D, and lysyl oxidase. The S100 proteins, often associated with metastasis, showed variable changes in abundance. While the cytosolic proteins were low (e.g., actin and tubulin), there was significant secretion of proteins often associated with the cytoplasm. These proteins were all predicted as products of nonclassical secretion (SecretomeP, Center for Biological Sequence Analysis). The LC-MS/MS results were verified for five selected proteins by western blot analysis, and the relevance of other significant proteins is discussed. Comparisons with two other aggressive breast cancer cell lines are included. The protein with consistent association with aggressiveness in all lines, and in unrelated cancer cells, was the galectin-3-binding protein which has been associated with breast, prostate, and colon cancer earlier, supporting the approach and findings. This analysis of an isogenic series of cell lines suggests the potential usefulness of the secretome for identifying prospective markers for the early detection and aggressiveness/progression of cancer.

Identification of differentially secreted biomarkers using LC-MS/MS in isogenic cell lines representing a progression of breast cancer. Publishing Authors By Initials

F Mbeunkui,BJ Metge,LA Shevde,LK Pannell,

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Identification of differentially secreted biomarkers using LC-MS/MS in isogenic cell lines representing a progression of breast cancer. Journal Published:

PUBLICATION TYPE: Research Support, Non-U.S. Gov

Journal: Journal of proteome research

VOLUME: 6

Page Numbers: 2993-3002

Journal Abbreviation: J. Proteome Res.

ISSN: 1535-3893

DAY: 4

MONTH: 07

YEAR: 2007

Identification of differentially secreted biomarkers using LC-MS/MS in isogenic cell lines representing a progression of breast cancer. Information

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LANGUAGE: eng

NlmUniqueID: 101128775

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Grant and Affiliation Information for Identification of differentially secreted biomarkers using LC-MS/MS in isogenic cell lines representing a progression of breast cancer.

AFFILIATION: Mitchell Cancer Institute, University of South Alabama, Mobile, Alabama 36688, USA.

Country: United States

AGENCY: United States NCI

GRANT: 5R21CA116070

ACRONYM: CA

MEDLINETA: J Proteome Res

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