TY - JOUR
T1 - Integrated bioinformatical analysis for identificating the therapeutic targets of aspirin in small cell lung cancer
AU - Gong, Liuyun
AU - Zhang, Dan
AU - Dong, Yiping
AU - Lei, Yutiantian
AU - Qian, Yuanjie
AU - Tan, Xinyue
AU - Han, Suxia
AU - Wang, Jiquan
N1 - Publisher Copyright:
© 2018
PY - 2018/12
Y1 - 2018/12
N2 - Purpose: We explored the mechanism of aspirin in SCLC by dissecting many publicly available databases. Methods and results: Firstly, 11 direct protein targets (DPTs) of aspirin were identified by DrugBank 5.0. Then protein–protein interaction (PPI) network and signaling pathways of aspirin DPTs were analyzed. We found that aspirin was linked with many kinds of cancer, and the most significant one is SCLC. Next, we classified the mutation of 4 aspirin DPTs in SCLC (IKBKB, NFKBIA, PTGS2 and TP53) using cBio Portal. Further, we identified top 50 overexpressed genes of SCLC by Oncomine, and the interconnected genes with the 4 aspirin DPTs in SCLC (IKBKB, NFKBIA, PTGS2 and TP53) by STRING. Lastly, we figured out 5 consistently genes as potential therapeutic targets of aspirin in SCLC. Conclusion: The integrated bioinformatical analysis could improve our understanding of the underlying molecular mechanism about how aspirin working in SCLC. Integrated bioinformatical analysis may be considered as a new paradigm for guiding future studies about interaction in drugs and diseases.
AB - Purpose: We explored the mechanism of aspirin in SCLC by dissecting many publicly available databases. Methods and results: Firstly, 11 direct protein targets (DPTs) of aspirin were identified by DrugBank 5.0. Then protein–protein interaction (PPI) network and signaling pathways of aspirin DPTs were analyzed. We found that aspirin was linked with many kinds of cancer, and the most significant one is SCLC. Next, we classified the mutation of 4 aspirin DPTs in SCLC (IKBKB, NFKBIA, PTGS2 and TP53) using cBio Portal. Further, we identified top 50 overexpressed genes of SCLC by Oncomine, and the interconnected genes with the 4 aspirin DPTs in SCLC (IKBKB, NFKBIA, PTGS2 and TP53) by STRING. Lastly, we figured out 5 consistently genes as potential therapeutic targets of aspirin in SCLC. Conclusion: The integrated bioinformatical analysis could improve our understanding of the underlying molecular mechanism about how aspirin working in SCLC. Integrated bioinformatical analysis may be considered as a new paradigm for guiding future studies about interaction in drugs and diseases.
KW - Aspirin
KW - Integrated bioinformatical analysis
KW - Small cell lung cancer
KW - Therapeutic target genes
UR - https://www.scopus.com/pages/publications/85056567372
U2 - 10.1016/j.jbi.2018.11.001
DO - 10.1016/j.jbi.2018.11.001
M3 - 文章
C2 - 30414472
AN - SCOPUS:85056567372
SN - 1532-0464
VL - 88
SP - 20
EP - 28
JO - Journal of Biomedical Informatics
JF - Journal of Biomedical Informatics
ER -
