| Literature DB >> 30827861 |
Johanna Chiche1, Julie Reverso-Meinietti2, Annabelle Mouchotte1, Camila Rubio-Patiño1, Rana Mhaidly1, Elodie Villa1, Jozef P Bossowski1, Emma Proics1, Manuel Grima-Reyes1, Agnès Paquet3, Konstantina Fragaki4, Sandrine Marchetti1, Josette Briere5, Damien Ambrosetti6, Jean-François Michiels7, Thierry Jo Molina8, Christiane Copie-Bergman9, Jacqueline Lehmann-Che10, Isabelle Peyrottes11, Frederic Peyrade11, Eric de Kerviler12, Bruno Taillan13, Georges Garnier13, Els Verhoeyen1, Véronique Paquis-Flucklinger4, Laetitia Shintu14, Vincent Delwail15, Celine Delpech-Debiais16, Richard Delarue17, André Bosly18, Tony Petrella19, Gabriel Brisou20, Bertrand Nadel20, Pascal Barbry3, Nicolas Mounier21, Catherine Thieblemont22, Jean-Ehrland Ricci23.
Abstract
Diffuse large B cell lymphoma (DLBCL) is a heterogeneous disease treated with anti-CD20-based immuno-chemotherapy (R-CHOP). We identified that low levels of GAPDH predict a poor response to R-CHOP treatment. Importantly, we demonstrated that GAPDHlow lymphomas use OxPhos metabolism and rely on mTORC1 signaling and glutaminolysis. Consistently, disruptors of OxPhos metabolism (phenformin) or glutaminolysis (L-asparaginase) induce cytotoxic responses in GAPDHlow B cells and improve GAPDHlow B cell-lymphoma-bearing mice survival, while they are low or not efficient on GAPDHhigh B cell lymphomas. Ultimately, we selected four GAPDHlow DLBCL patients, who were refractory to all anti-CD20-based therapies, and targeted DLBCL metabolism using L-asparaginase (K), mTOR inhibitor (T), and metformin (M) (called KTM therapy). Three out of the four patients presented a complete response upon one cycle of KTM. These findings establish that the GAPDH expression level predicts DLBCL patients' response to R-CHOP treatment and their sensitivity to specific metabolic inhibitors.Entities:
Keywords: DLBCL; GAPDH; L-asparaginase; OxPhos; R-CHOP; glycolysis; mTOR; predictive marker
Year: 2019 PMID: 30827861 DOI: 10.1016/j.cmet.2019.02.002
Source DB: PubMed Journal: Cell Metab ISSN: 1550-4131 Impact factor: 27.287