Cheng-Cheng Liu1,2,3, Hua Wang1,2,3, Wei-da Wang1,2,3, Liang Wang1,2,3, Wen-Jian Liu1,2,3, Jing-Hua Wang1,2,3, Qi-Rong Geng1,2,3, Yue Lu1,2,3. 1. Department of Hematologic Oncology. Sun Yat-sen University Cancer Center, Guangzhou, China. 2. State Key Laboratory of Oncology in South China, Guangzhou, China. 3. Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Abstract
BACKGROUND/AIMS: The metabolic features of cancer cells have long been acknowledged to be altered and to provide new therapeutic opportunities. The expression of glycolytic enzyme enolase 2 (ENO2) was found to be closely associated with the clinical features of acute lymphoblastic leukemia (ALL) patients, but its functions remain unclear in ALL. METHODS: We evaluated the association between ENO2 mRNA expression in bone marrow mononuclear cells (BM-MNCs) and the efficacy of chemotherapy, and further explored the function of ENO2 in ALL. The molecular mechanisms of ENO2 expression and its effects on cell growth, glycolysis and glucocorticoid resistance were explored by Cell Counting Kit-8, glucose-consumption assay, Quantitative RT-PCR, Western blotting and in vivo tumorigenesis in NOD/SCID mice. RESULTS: The results showed that ENO2 mRNA expression in BM-MNCs was significantly decreased when patients completed induction chemotherapy and reached complete remission (CR). ENO2 mRNA expression was increased when patients suffered relapse. Functional studies demonstrated that ENO2 promoted cell growth, glycolysis, and glucocorticoid resistance, all of which were effectively inhibited when ENO2 was silenced with shRNAs. Further studies revealed that ENO2 up-regulated various glycolysis-related genes and enhanced Akt activity with subsequent glycogen synthase kinase3β (GSK-3β) phosphorylation, inducing cell proliferation and glycolysis. The combination of silencing ENO2 and 2-deoxyglucose (2-DG) synergistically inhibited leukemia cell survival. CONCLUSIONS: These results indicate that ENO2 may be a biological marker for monitoring chemotherapeutic efficacy and relapse in ALL. ENO2 may provide a potential therapeutic strategy for ALL.
BACKGROUND/AIMS: The metabolic features of cancer cells have long been acknowledged to be altered and to provide new therapeutic opportunities. The expression of glycolytic enzyme enolase 2 (ENO2) was found to be closely associated with the clinical features of acute lymphoblastic leukemia (ALL) patients, but its functions remain unclear in ALL. METHODS: We evaluated the association between ENO2 mRNA expression in bone marrow mononuclear cells (BM-MNCs) and the efficacy of chemotherapy, and further explored the function of ENO2 in ALL. The molecular mechanisms of ENO2 expression and its effects on cell growth, glycolysis and glucocorticoid resistance were explored by Cell Counting Kit-8, glucose-consumption assay, Quantitative RT-PCR, Western blotting and in vivo tumorigenesis in NOD/SCIDmice. RESULTS: The results showed that ENO2 mRNA expression in BM-MNCs was significantly decreased when patients completed induction chemotherapy and reached complete remission (CR). ENO2 mRNA expression was increased when patients suffered relapse. Functional studies demonstrated that ENO2 promoted cell growth, glycolysis, and glucocorticoid resistance, all of which were effectively inhibited when ENO2 was silenced with shRNAs. Further studies revealed that ENO2 up-regulated various glycolysis-related genes and enhanced Akt activity with subsequent glycogen synthase kinase3β (GSK-3β) phosphorylation, inducing cell proliferation and glycolysis. The combination of silencing ENO2 and 2-deoxyglucose (2-DG) synergistically inhibited leukemia cell survival. CONCLUSIONS: These results indicate that ENO2 may be a biological marker for monitoring chemotherapeutic efficacy and relapse in ALL. ENO2 may provide a potential therapeutic strategy for ALL.
Authors: Yujie He; Lot D de Witte; Lotte C Houtepen; Danny M Nispeling; Zhida Xu; Qiong Yu; Yaqin Yu; Elly M Hol; René S Kahn; Marco P Boks Journal: Clin Epigenetics Date: 2019-05-16 Impact factor: 6.551
Authors: Shang Song; Danielle Amores; Cheng Chen; Kelly McConnell; Byeongtaek Oh; Ada Poon; Paul M George Journal: Sci Rep Date: 2019-12-20 Impact factor: 4.379