Construction and analysis of a breast cancer gene-drug network model / 南方医科大学学报
Journal of Southern Medical University
; (12): 170-179, 2016.
Article
in Zh
| WPRIM
| ID: wpr-232489
Responsible library:
WPRO
ABSTRACT
<p><b>OBJECTIVE</b>To construct a breast cancer gene-drug network model for extracting and predicting the correlations between breast cancer-related genes and drugs.</p><p><b>METHODS</b>We developed an algorithm based on the ABC principle and the association rules to obtain the correlations between the biological entities. For breast cancer, we constructed 3 different correlations (gene-gene, drug-drug and gene-drug) and used the R language to implement the associated network model. The reliability of the algorithm was verified by ROC curve.</p><p><b>RESULTS</b>We identified 185 breast cancer-associated genes and 98 associations between them, 97 drugs and 170 associations between them. The breast cancer genes-drugs network contained 127 genes and 77 drugs with 384 associations between them.</p><p><b>CONCLUSIONS</b>We identified a large number of different correlations between the breast cancer-related genes and drugs and close correlations between some biological entity pairs that have not yet been reported, which may provide a new strategy for experimental design for testing personalized breast cancer treatment.</p>
Full text:
1
Index:
WPRIM
Main subject:
Pharmacology
/
Algorithms
/
Breast Neoplasms
/
Reproducibility of Results
/
ROC Curve
/
Genes, Neoplasm
/
Gene Regulatory Networks
/
Genetics
/
Antineoplastic Agents
Type of study:
Prognostic_studies
Limits:
Female
/
Humans
Language:
Zh
Journal:
Journal of Southern Medical University
Year:
2016
Type:
Article