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Molecular network profiling of U373MG human glioblastoma cells following induction of apoptosis by novel marine-derived anti-cancer 1,2,3,4-tetrahydroisoquinoline alkaloids

Overview of attention for article published in Cancer Cell International, April 2012
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Title
Molecular network profiling of U373MG human glioblastoma cells following induction of apoptosis by novel marine-derived anti-cancer 1,2,3,4-tetrahydroisoquinoline alkaloids
Published in
Cancer Cell International, April 2012
DOI 10.1186/1475-2867-12-14
Pubmed ID
Authors

Hiroko Tabunoki, Naoki Saito, Khanit Suwanborirux, Kornvika Charupant, Jun-ichi Satoh

Abstract

Glioblastoma is the most aggressive form of brain tumors showing resistance to treatment with various chemotherapeutic agents. The most effective way to eradicate glioblastoma requires the concurrent inhibition of multiple signaling pathways and target molecules involved in the progression of glioblastoma. Recently, we obtained a series of 1,2,3,4-tetrahydroisoquinoline alkaloids with potent anti-cancer activities, including ecteinascidin-770 (ET-770; the compound 1a) and renieramycin M (RM; the compound 2a) from Thai marine invertebrates, together with a 2'-N-4"-pyridinecarbonyl derivative of ET-770 (the compound 3). We attempted to characterize the molecular pathways responsible for cytotoxic effects of these compounds on a human glioblastoma cell line U373MG.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 22%
Student > Master 6 17%
Researcher 5 14%
Student > Bachelor 4 11%
Student > Doctoral Student 2 6%
Other 2 6%
Unknown 9 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 17%
Pharmacology, Toxicology and Pharmaceutical Science 5 14%
Biochemistry, Genetics and Molecular Biology 5 14%
Chemistry 5 14%
Medicine and Dentistry 3 8%
Other 3 8%
Unknown 9 25%