Abstract
We have applied an in-depth quantitative proteomic approach, combining isotopic labeling extensive intact protein separation and mass spectrometry, for high confidence identification of protein changes in plasmas from a mouse model of breast cancer. We hypothesized that a wide spectrum of proteins may be up-regulated in plasma with tumor development and that comparisons with proteins expressed in human breast cancer cell lines may identify a subset of up-regulated proteins in common with proteins expressed in breast cancer cell lines that may represent candidate biomarkers for breast cancer. Plasma from PyMT transgenic tumor-bearing mice and matched controls were obtained at two time points during tumor growth. A total of 133 proteins were found to be increased by 1.5-fold or greater at one or both time points. A comparison of this set of proteins with published findings from proteomic analysis of human breast cancer cell lines yielded 49 proteins with increased levels in mouse plasma that were identified in breast cancer cell lines. Pathway analysis comparing the subset of up-regulated proteins known to be expressed in breast cancer cell lines with other up-regulated proteins indicated a cancer related function for the former and a host-response function for the latter. We conclude that integration of proteomic findings from mouse models of breast cancer and from human breast cancer cell lines may help identify a subset of proteins released by breast cancer cells into the circulation and that occur at increased levels in breast cancer.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1481-1489 |
| Number of pages | 9 |
| Journal | Journal of Proteome Research |
| Volume | 7 |
| Issue number | 4 |
| DOIs | |
| State | Published - Apr 1 2008 |
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Keywords
- Breast cancer
- Fractionation
- Mass spectrometry
- Mouse model
- Proteomics
- Quantitative analysis
ASJC Scopus subject areas
- Biochemistry
- Chemistry(all)
Cite this
Plasma proteome profiling of a mouse model of breast cancer identifies a set of up-regulated proteins in common with human breast cancer Cells. / Pitteri, Sharon J.; Faca, Vitor M.; Kelly-Spratt, Karen S.; Kasarda, A. Erik; Wang, Hong; Zhang, Qing; Newcomb, Lisa; Krasnoselsky, Alexei; Paczesny, Sophie; Choi, Gina; Fitzgibbon, Matthew; Mcintosh, Martin W.; Kemp, Christopher J.; Hanash, Samir M.
In: Journal of Proteome Research, Vol. 7, No. 4, 01.04.2008, p. 1481-1489.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Plasma proteome profiling of a mouse model of breast cancer identifies a set of up-regulated proteins in common with human breast cancer Cells
AU - Pitteri, Sharon J.
AU - Faca, Vitor M.
AU - Kelly-Spratt, Karen S.
AU - Kasarda, A. Erik
AU - Wang, Hong
AU - Zhang, Qing
AU - Newcomb, Lisa
AU - Krasnoselsky, Alexei
AU - Paczesny, Sophie
AU - Choi, Gina
AU - Fitzgibbon, Matthew
AU - Mcintosh, Martin W.
AU - Kemp, Christopher J.
AU - Hanash, Samir M.
PY - 2008/4/1
Y1 - 2008/4/1
N2 - We have applied an in-depth quantitative proteomic approach, combining isotopic labeling extensive intact protein separation and mass spectrometry, for high confidence identification of protein changes in plasmas from a mouse model of breast cancer. We hypothesized that a wide spectrum of proteins may be up-regulated in plasma with tumor development and that comparisons with proteins expressed in human breast cancer cell lines may identify a subset of up-regulated proteins in common with proteins expressed in breast cancer cell lines that may represent candidate biomarkers for breast cancer. Plasma from PyMT transgenic tumor-bearing mice and matched controls were obtained at two time points during tumor growth. A total of 133 proteins were found to be increased by 1.5-fold or greater at one or both time points. A comparison of this set of proteins with published findings from proteomic analysis of human breast cancer cell lines yielded 49 proteins with increased levels in mouse plasma that were identified in breast cancer cell lines. Pathway analysis comparing the subset of up-regulated proteins known to be expressed in breast cancer cell lines with other up-regulated proteins indicated a cancer related function for the former and a host-response function for the latter. We conclude that integration of proteomic findings from mouse models of breast cancer and from human breast cancer cell lines may help identify a subset of proteins released by breast cancer cells into the circulation and that occur at increased levels in breast cancer.
AB - We have applied an in-depth quantitative proteomic approach, combining isotopic labeling extensive intact protein separation and mass spectrometry, for high confidence identification of protein changes in plasmas from a mouse model of breast cancer. We hypothesized that a wide spectrum of proteins may be up-regulated in plasma with tumor development and that comparisons with proteins expressed in human breast cancer cell lines may identify a subset of up-regulated proteins in common with proteins expressed in breast cancer cell lines that may represent candidate biomarkers for breast cancer. Plasma from PyMT transgenic tumor-bearing mice and matched controls were obtained at two time points during tumor growth. A total of 133 proteins were found to be increased by 1.5-fold or greater at one or both time points. A comparison of this set of proteins with published findings from proteomic analysis of human breast cancer cell lines yielded 49 proteins with increased levels in mouse plasma that were identified in breast cancer cell lines. Pathway analysis comparing the subset of up-regulated proteins known to be expressed in breast cancer cell lines with other up-regulated proteins indicated a cancer related function for the former and a host-response function for the latter. We conclude that integration of proteomic findings from mouse models of breast cancer and from human breast cancer cell lines may help identify a subset of proteins released by breast cancer cells into the circulation and that occur at increased levels in breast cancer.
KW - Breast cancer
KW - Fractionation
KW - Mass spectrometry
KW - Mouse model
KW - Proteomics
KW - Quantitative analysis
UR - http://www.scopus.com/inward/record.url?scp=45549102800&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=45549102800&partnerID=8YFLogxK
U2 - 10.1021/pr7007994
DO - 10.1021/pr7007994
M3 - Article
C2 - 18311905
AN - SCOPUS:45549102800
VL - 7
SP - 1481
EP - 1489
JO - Journal of Proteome Research
JF - Journal of Proteome Research
SN - 1535-3893
IS - 4
ER -