Literature DB >> 29490947

Metabolic Determinants of Sensitivity to Phosphatidylinositol 3-Kinase Pathway Inhibitor in Small-Cell Lung Carcinoma.

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.

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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


  14 in total

1.  Whole-body insulin resistance and energy expenditure indices, serum lipids, and skeletal muscle metabolome in a state of lipoprotein lipase overexpression.

Authors:  Yuichiro Nishida; Kazutoshi Nishijima; Yosuke Yamada; Hiroaki Tanaka; Akiko Matsumoto; Jianglin Fan; Yoichi Uda; Hajime Tomatsu; Hiroyuki Yamamoto; Kenjiro Kami; Shuji Kitajima; Keitaro Tanaka
Journal:  Metabolomics       Date:  2021-02-16       Impact factor: 4.290

Review 2.  Recent Advances in Dual PI3K/mTOR Inhibitors for Tumour Treatment.

Authors:  Xianbo Wu; Yihua Xu; Qi Liang; Xinwei Yang; Jianli Huang; Jie Wang; Hong Zhang; Jianyou Shi
Journal:  Front Pharmacol       Date:  2022-05-09       Impact factor: 5.988

3.  Survival-Associated Metabolic Genes and Risk Scoring System in HER2-Positive Breast Cancer.

Authors:  Chundi Gao; Huayao Li; Chao Zhou; Cun Liu; Jing Zhuang; Lijuan Liu; Changgang Sun
Journal:  Front Endocrinol (Lausanne)       Date:  2022-05-19       Impact factor: 6.055

Review 4.  PI3K Inhibitors in Cancer: Clinical Implications and Adverse Effects.

Authors:  Rosalin Mishra; Hima Patel; Samar Alanazi; Mary Kate Kilroy; Joan T Garrett
Journal:  Int J Mol Sci       Date:  2021-03-27       Impact factor: 5.923

Review 5.  Targeting PI3K in cancer: mechanisms and advances in clinical trials.

Authors:  Jing Yang; Ji Nie; Xuelei Ma; Yuquan Wei; Yong Peng; Xiawei Wei
Journal:  Mol Cancer       Date:  2019-02-19       Impact factor: 27.401

6.  Tracking longitudinal genetic changes of circulating tumor DNA (ctDNA) in advanced Lung adenocarcinoma treated with chemotherapy.

Authors:  Xiaohong Han; Ying Han; Qiaoyun Tan; Yu Huang; Jianliang Yang; Sheng Yang; Xiaohui He; Shengyu Zhou; Yan Song; Jinping Pi; Lijie Zuo; Jiarui Yao; Di Wu; Zhishang Zhang; Yuankai Shi
Journal:  J Transl Med       Date:  2019-10-10       Impact factor: 5.531

Review 7.  Targeting mTOR for cancer therapy.

Authors:  Hui Hua; Qingbin Kong; Hongying Zhang; Jiao Wang; Ting Luo; Yangfu Jiang
Journal:  J Hematol Oncol       Date:  2019-07-05       Impact factor: 17.388

8.  De novo deoxyribonucleotide biosynthesis regulates cell growth and tumor progression in small-cell lung carcinoma.

Authors:  Ami Maruyama; Yuzo Sato; Joji Nakayama; Junko Murai; Takamasa Ishikawa; Tomoyoshi Soga; Hideki Makinoshima
Journal:  Sci Rep       Date:  2021-06-29       Impact factor: 4.379

Review 9.  The Impact of Human Papilloma Viruses, Matrix Metallo-Proteinases and HIV Protease Inhibitors on the Onset and Progression of Uterine Cervix Epithelial Tumors: A Review of Preclinical and Clinical Studies.

Authors:  Giovanni Barillari; Paolo Monini; Cecilia Sgadari; Barbara Ensoli
Journal:  Int J Mol Sci       Date:  2018-05-09       Impact factor: 5.923

10.  Metabolic Characterization of Antifolate Responsiveness and Non-responsiveness in Malignant Pleural Mesothelioma Cells.

Authors:  Yuzo Sato; Shiori Matsuda; Ami Maruyama; Joji Nakayama; Tomoyuki Miyashita; Hibiki Udagawa; Shigeki Umemura; Kazuyoshi Yanagihara; Atsushi Ochiai; Masaru Tomita; Tomoyoshi Soga; Katsuya Tsuchihara; Hideki Makinoshima
Journal:  Front Pharmacol       Date:  2018-10-12       Impact factor: 5.810

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