| Literature DB >> 29490947 |
Hideki Makinoshima1,2, Shigeki Umemura3, Ayako Suzuki1, Hiroki Nakanishi4, Ami Maruyama2, Hibiki Udagawa5, Sachiyo Mimaki1, Shingo Matsumoto1,5, Seiji Niho5, Genichiro Ishii6, Masahiro Tsuboi7, Atsushi Ochiai6, Hiroyasu Esumi8, Takehiko Sasaki4,9, Koichi Goto5, Katsuya Tsuchihara1.
Abstract
Comprehensive genomic analysis has revealed that the PI3K/AKT/mTOR pathway is a feasible therapeutic target in small-cell lung carcinoma (SCLC). However, biomarkers to identify patients likely to benefit from inhibitors of this pathway have not been identified. Here, we show that metabolic features determine sensitivity to the PI3K/mTOR dual inhibitor gedatolisib in SCLC cells. Substantial phosphatidyl lipid analysis revealed that a specific phosphatidylinositol (3,4,5)-trisphosphate (PIP3) subspecies lipid product PIP3 (38:4) is predictive in assessing sensitivity to PI3K/mTOR dual inhibitor. Notably, we found that higher amounts of purine-related aqueous metabolites such as hypoxanthine, which are characteristic of SCLC biology, lead to resistance to PI3K pathway inhibition. In addition, the levels of the mRNA encoding hypoxanthine phosphoribosyl transferase 1, a key component of the purine salvage pathway, differed significantly between SCLC cells sensitive or resistant to gedatolisib. Moreover, complementation with purine metabolites could reverse the vulnerability to targeting of the PI3K pathway in SCLC cells normally sensitive to gedatolisib. These results indicate that the resistance mechanism of PI3K pathway inhibitors is mediated by the activation of the purine salvage pathway, supplying purine resource to nucleotide biosynthesis. Metabolomics is a powerful approach for finding novel therapeutic biomarkers in SCLC treatment.Significance: These findings identify features that determine sensitivity of SCLC to PI3K pathway inhibition and support metabolomics as a tool for finding novel therapeutic biomarkers. Cancer Res; 78(9); 2179-90. ©2018 AACR. ©2018 American Association for Cancer Research.Entities:
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Year: 2018 PMID: 29490947 DOI: 10.1158/0008-5472.CAN-17-2109
Source DB: PubMed Journal: Cancer Res ISSN: 0008-5472 Impact factor: 12.701