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A literature-proposed predictive gene list for breast cancer is benchmarked against a separate gene list using the above methods.
Therefore, we utilized a previously described microarray data set combining method (Distance Weighted Discrimination) to create a large validation test set of over 300 tumors, and used it to validate a newly derived gene list for breast cancer prognostication and prediction.
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We sought to determine whether this phenomenon was occurring with prognostic gene lists for breast cancer metastases.
The multiple prognostic gene lists for breast cancer that have been described have little overlap in their gene composition.
For example, individual microarray studies have identified differentially expressed gene lists for distinguishing breast cancer subtypes and normal breast tissue [ 5, 6, 8, 9].
We provide in Table 5 the list of the top 50 genes based on their predictive score in cancerous breast tissues and similar lists for normal breast, lung and colon tissues in Additional file 12.
PALB2 can be added to the list of breast cancer susceptibility genes for which founder mutations have been identified in the French Canadian population.
Although mutations are infrequent, PALB2 can be added to the list of breast cancer susceptibility genes for which founder mutations have been identified in the French-Canadian population.
These five ranked lists were integrated by averaging the rank of each drug compound across the five lists for each breast cancer cell line.
Approximately 50% of participants thought that there were long waiting lists for tests for breast cancer, with those over 75 years old more likely to report this belief than participants under 45 (χ=13.03, df=6, P<0.05).
Expression of the genes, selected from the gene list for classification of normal breast samples and breast tumors encompassing both the ILC and IDC subtypes were tested on 10 independent primary IDC samples and matched non-tumor controls by real-time qRT-PCR.
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