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Serial analysis of 38 proteins during the progression of human breast tumor in mice using an antibody colocalization microarray.

Li H, Bergeron S, Annis MG, Siegel PM, Juncker D - Mol. Cell Proteomics (2015)

Bottom Line: The profiles of 38 proteins detected in sera from these animals were analyzed by clustering, and we identified 10 proteins with the greatest relative increase in serum concentration that correlated with growth of the primary mammary tumor.Next, the sensitivity and specificity of individual and optimal protein panels were calculated, showing high accuracy as early as week 2.These results provide a foundation for studies of tumor growth through measuring serial changes of protein concentration in animal models.

View Article: PubMed Central - PubMed

Affiliation: From the ‡Biomedical Engineering Department, §McGill University and Genome Quebec Innovation Centre.

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Comparison between tumor volume and protein concentration of the six proteins G-CSF, IL-8, TNF-RI, uPA, uPAR, and GM-CSF in serum for each of the 11 mice along with linear regression curves. Despite the genetic homogeneity of the mice, important variations are seen among mice. A high or low excretion rate for one protein is often mirrored by the excretion rate for other proteins, suggesting that metabolic differences between tumors underlie this variation.
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Figure 4: Comparison between tumor volume and protein concentration of the six proteins G-CSF, IL-8, TNF-RI, uPA, uPAR, and GM-CSF in serum for each of the 11 mice along with linear regression curves. Despite the genetic homogeneity of the mice, important variations are seen among mice. A high or low excretion rate for one protein is often mirrored by the excretion rate for other proteins, suggesting that metabolic differences between tumors underlie this variation.

Mentions: With mice, it becomes possible to track the time course of tumor size and protein concentration in blood for an extended period of time, allowing one to directly probe a model linking the two. We plotted the six proteins whose levels increased continuously along with the growth of the tumor burdens for each of the 11 tumor-bearing mice (Fig. 4). We found that the protein levels and the tumor volumes were linearly correlated for all mice (supplemental Table 2).


Serial analysis of 38 proteins during the progression of human breast tumor in mice using an antibody colocalization microarray.

Li H, Bergeron S, Annis MG, Siegel PM, Juncker D - Mol. Cell Proteomics (2015)

Comparison between tumor volume and protein concentration of the six proteins G-CSF, IL-8, TNF-RI, uPA, uPAR, and GM-CSF in serum for each of the 11 mice along with linear regression curves. Despite the genetic homogeneity of the mice, important variations are seen among mice. A high or low excretion rate for one protein is often mirrored by the excretion rate for other proteins, suggesting that metabolic differences between tumors underlie this variation.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4390249&req=5

Figure 4: Comparison between tumor volume and protein concentration of the six proteins G-CSF, IL-8, TNF-RI, uPA, uPAR, and GM-CSF in serum for each of the 11 mice along with linear regression curves. Despite the genetic homogeneity of the mice, important variations are seen among mice. A high or low excretion rate for one protein is often mirrored by the excretion rate for other proteins, suggesting that metabolic differences between tumors underlie this variation.
Mentions: With mice, it becomes possible to track the time course of tumor size and protein concentration in blood for an extended period of time, allowing one to directly probe a model linking the two. We plotted the six proteins whose levels increased continuously along with the growth of the tumor burdens for each of the 11 tumor-bearing mice (Fig. 4). We found that the protein levels and the tumor volumes were linearly correlated for all mice (supplemental Table 2).

Bottom Line: The profiles of 38 proteins detected in sera from these animals were analyzed by clustering, and we identified 10 proteins with the greatest relative increase in serum concentration that correlated with growth of the primary mammary tumor.Next, the sensitivity and specificity of individual and optimal protein panels were calculated, showing high accuracy as early as week 2.These results provide a foundation for studies of tumor growth through measuring serial changes of protein concentration in animal models.

View Article: PubMed Central - PubMed

Affiliation: From the ‡Biomedical Engineering Department, §McGill University and Genome Quebec Innovation Centre.

Show MeSH
Related in: MedlinePlus