Title |
Nicotinic Acid Phosphoribosyltransferase Regulates Cancer Cell Metabolism, Susceptibility to NAMPT Inhibitors, and DNA Repair
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Published in |
Cancer Research, July 2017
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DOI | 10.1158/0008-5472.can-16-3079 |
Pubmed ID | |
Authors |
Francesco Piacente, Irene Caffa, Silvia Ravera, Giovanna Sociali, Mario Passalacqua, Valerio G Vellone, Pamela Becherini, Daniele Reverberi, Fiammetta Monacelli, Alberto Ballestrero, Patrizio Odetti, Antonia Cagnetta, Michele Cea, Aimable Nahimana, Michel Duchosal, Santina Bruzzone, Alessio Nencioni |
Abstract |
In the last decade, substantial efforts have been made to identify NAD+ biosynthesis inhibitors, specifically against nicotinamide phosphoribosyltransferase (NAMPT), as preclinical studies indicate their potential efficacy as cancer drugs. However, the clinical activity of NAMPT inhibitors has proven limited, suggesting that alternative NAD+ production routes exploited by tumors confer resistance. Here we show the gene encoding nicotinic acid phosphoribosyltransferase (NAPRT), a second NAD+ producing enzyme, is amplified and overexpressed in a subset of common types of cancer, including ovarian cancer, where NAPRT expression correlates with a BRCAness gene expression signature. Both NAPRT and NAMPT increased intracellular NAD+ levels. NAPRT silencing reduced energy status, protein synthesis, and cell size in ovarian and pancreatic cancer cells. NAPRT silencing sensitized cells to NAMPT inhibitors both in vitro and in vivo; similar results were obtained with the NAPRT inhibitor 2-hydroxynicotinic acid. Reducing NAPRT levels in a BRCA2-deficient cancer cell line exacerbated DNA damage in response to chemotherapeutics. In conclusion, NAPRT-dependent NAD+ biosynthesis contributes to cell metabolism and to the DNA repair process in a subset of tumors. This knowledge could be used to increase the efficacy of NAMPT inhibitors and chemotherapy. |
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Italy | 4 | 57% |
Unknown | 3 | 43% |
Demographic breakdown
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Members of the public | 6 | 86% |
Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
Geographical breakdown
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Unknown | 83 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 20 | 24% |
Student > Ph. D. Student | 12 | 14% |
Student > Master | 8 | 10% |
Student > Bachelor | 7 | 8% |
Professor | 4 | 5% |
Other | 12 | 14% |
Unknown | 20 | 24% |
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Medicine and Dentistry | 9 | 11% |
Agricultural and Biological Sciences | 9 | 11% |
Pharmacology, Toxicology and Pharmaceutical Science | 5 | 6% |
Chemistry | 3 | 4% |
Other | 6 | 7% |
Unknown | 22 | 27% |