In:
Cancer Research, American Association for Cancer Research (AACR), Vol. 73, No. 8_Supplement ( 2013-04-15), p. 2904-2904
Abstract:
It is a time-consuming procedure to find an effective drug under current drug development, but the response rates of most anti-cancer drugs were still not high. Furthermore, the survival time of malignant cancer patients were often not prolonged after treatment. Therefore, to facilitate the process of discovering promising drug treatment, we proposed a novel integrative analysis based on gene set enrichment and evaluate the proposed model in acute myeloid leukemia (AML). The analysis was comprised by two methods. First, the enriched biological functions of each drug were identified based on the enrichment analysis of connectivity map, which is an expression profile of more than 950 drug treatments in the HL60 AML cell line. Second, the tumor progression associated functions were identified by using survival analysis. Finally, we integrated the results of two methods to generate a “drug - biological function - cancer” network. Based on the identified network, the putative anti-cancer drugs can be further explored. We applied a AML cohort data set, GSE12417, which contains 163 expression profiles, to our analysis framework. The result showed 429 enriched biological functions were related to 948 drugs. Among them, 21 of the 429 functions were identified as tumor progression associated functions though cox regression analysis. By integrating the two results, finally 174 putative drugs for AML were discovered. Our preliminary results provide valuable information to revisit the putative drugs to “reposition” for cancer therapy through identified biological functions. Citation Format: Yu-Heng Chen, Tzu-Hung Hsiao, Hung-I Harry Chen, Yidong Chen, Eric Y Chuang. An integrative analysis to identify putative drugs for acute myeloid leukemia. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 2904. doi:10.1158/1538-7445.AM2013-2904 Note: This abstract was not presented at the AACR Annual Meeting 2013 because the presenter was unable to attend.
Type of Medium:
Online Resource
ISSN:
0008-5472
,
1538-7445
DOI:
10.1158/1538-7445.AM2013-2904
Language:
English
Publisher:
American Association for Cancer Research (AACR)
Publication Date:
2013
detail.hit.zdb_id:
2036785-5
detail.hit.zdb_id:
1432-1
detail.hit.zdb_id:
410466-3
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