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2013 ; 7 Suppl 5
(Suppl 5
): S5
Nephropedia Template TP
gab.com Text
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English Wikipedia
BRCA-Monet: a breast cancer specific drug treatment mode-of-action network for
treatment effective prediction using large scale microarray database
#MMPMID24564956
Ma C
; Chen HI
; Flores M
; Huang Y
; Chen Y
BMC Syst Biol
2013[]; 7 Suppl 5
(Suppl 5
): S5
PMID24564956
show ga
BACKGROUND: Connectivity map (cMap) is a recent developed dataset and algorithm
for uncovering and understanding the treatment effect of small molecules on
different cancer cell lines. It is widely used but there are still remaining
challenges for accurate predictions. METHOD: Here, we propose BRCA-MoNet, a
network of drug mode of action (MoA) specific to breast cancer, which is
constructed based on the cMap dataset. A drug signature selection algorithm
fitting the characteristic of cMap data, a quality control scheme as well as a
novel query algorithm based on BRCA-MoNet are developed for more effective
prediction of drug effects. RESULT: BRCA-MoNet was applied to three independent
data sets obtained from the GEO database: Estrodial treated MCF7 cell line,
BMS-754807 treated MCF7 cell line, and a breast cancer patient microarray
dataset. In the first case, BRCA-MoNet could identify drug MoAs likely to share
same and reverse treatment effect. In the second case, the result demonstrated
the potential of BRCA-MoNet to reposition drugs and predict treatment effects for
drugs not in cMap data. In the third case, a possible procedure of personalized
drug selection is showcased. CONCLUSIONS: The results clearly demonstrated that
the proposed BRCA-MoNet approach can provide increased prediction power to cMap
and thus will be useful for identification of new therapeutic candidates.
|*Databases, Genetic
[MESH]
|Antineoplastic Agents/pharmacology/therapeutic use
[MESH]