Rewiring carbohydrate catabolism differentially affects survival of pancreatic cancer cell lines with diverse metabolic profiles.
Rewiring carbohydrate catabolism differentially affects survival of pancreatic cancer cell lines with diverse metabolic profiles.
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DOI:
10.18632/oncotarget.17172
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发表时间:
2017-06-20
期刊:
影响因子:
--
通讯作者:
Piccoli C
中科院分区:
文献类型:
--
作者:
Tataranni T;Agriesti F;Ruggieri V;Mazzoccoli C;Simeon V;Laurenzana I;Scrima R;Pazienza V;Capitanio N;Piccoli C
An increasing body of evidence suggests that targeting cellular metabolism represents a promising effective approach to treat pancreatic cancer, overcome chemoresistance and ameliorate patient's prognosis and survival. In this study, following whole-genome expression analysis, we selected two pancreatic cancer cell lines, PANC-1 and BXPC-3, hallmarked by distinct metabolic profiles with specific concern to carbohydrate metabolism. Functional comparative analysis showed that BXPC-3 displayed a marked deficit of the mitochondrial respiratory and oxidative phosphorylation activity and a higher production of reactive oxygen species and a reduced NAD+/NADH ratio, indicating their bioenergetic reliance on glycolysis and a different redox homeostasis as compared to PANC-1. Both cell lines were challenged to rewire their metabolism by substituting glucose with galactose as carbon source, a condition inhibiting the glycolytic flux and fostering full oxidation of the sugar carbons. The obtained data strikingly show that the mitochondrial respiration-impaired-BXPC-3 cell line was unable to sustain the metabolic adaptation required by glucose deprivation/substitution, thereby resulting in a G2\M cell cycle shift, unbalance of the redox homeostasis, apoptosis induction. Conversely, the mitochondrial respiration-competent-PANC-1 cell line did not show clear evidence of cell sufferance. Our findings provide a strong rationale to candidate metabolism as a promising target for cancer therapy. Defining the metabolic features at time of pancreatic cancer diagnosis and likely of other tumors, appears to be crucial to predict the responsiveness to therapeutic approaches or coadjuvant interventions affecting metabolism.
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影响因子:
29
作者:
Pavlova NN;Thompson CB
通讯作者:
Thompson CB
影响因子:
2.9
作者:
Deer EL;González-Hernández J;Coursen JD;Shea JE;Ngatia J;Scaife CL;Firpo MA;Mulvihill SJ
通讯作者:
Mulvihill SJ
影响因子:
4.4
作者:
Cela, Olga;Piccoli, Claudia;Capitanio, Nazzareno
通讯作者:
Capitanio, Nazzareno
DOI:
10.1073/pnas.1501605112
发表时间:
2015-08-11
影响因子:
11.1
作者:
Daemen, Anneleen;Peterson, David;Evangelista, Marie
通讯作者:
Evangelista, Marie
影响因子:
7.3
作者:
Galli, Ubaldina;Travelli, Cristina;Genazzani, Armando A.
通讯作者:
Genazzani, Armando A.