Title |
Gut microbiome influences efficacy of PD-1–based immunotherapy against epithelial tumors
|
---|---|
Published in |
Science, November 2017
|
DOI | 10.1126/science.aan3706 |
Pubmed ID | |
Authors |
Bertrand Routy, Emmanuelle Le Chatelier, Lisa Derosa, Connie P M Duong, Maryam Tidjani Alou, Romain Daillère, Aurélie Fluckiger, Meriem Messaoudene, Conrad Rauber, Maria P Roberti, Marine Fidelle, Caroline Flament, Vichnou Poirier-Colame, Paule Opolon, Christophe Klein, Kristina Iribarren, Laura Mondragón, Nicolas Jacquelot, Bo Qu, Gladys Ferrere, Céline Clémenson, Laura Mezquita, Jordi Remon Masip, Charles Naltet, Solenn Brosseau, Coureche Kaderbhai, Corentin Richard, Hira Rizvi, Florence Levenez, Nathalie Galleron, Benoit Quinquis, Nicolas Pons, Bernhard Ryffel, Véronique Minard-Colin, Patrick Gonin, Jean-Charles Soria, Eric Deutsch, Yohann Loriot, François Ghiringhelli, Gérard Zalcman, François Goldwasser, Bernard Escudier, Matthew D Hellmann, Alexander Eggermont, Didier Raoult, Laurence Albiges, Guido Kroemer, Laurence Zitvogel |
Abstract |
Immune checkpoint inhibitors (ICI) targeting the PD-1/PD-L1 axis induce sustained clinical responses in a sizeable minority of cancer patients. Here, we show that primary resistance to ICI can be due to abnormal gut microbiome composition. Antibiotics (ATB) inhibited the clinical benefit of ICI in patients with advanced cancer. Fecal microbiota transplantation (FMT) from cancer patients who responded to ICI (but not from non-responding patients) into germ-free or ATB-treated mice ameliorated the antitumor effects of PD-1 blockade. Metagenomics of patient stools at diagnosis revealed correlations between clinical responses to ICI and the relative abundance of Akkermansia muciniphila Oral supplementation with A. muciniphila post-FMT with non-responder feces restored the efficacy of PD-1 blockade in an IL-12-dependent manner, by increasing the recruitment of CCR9(+)CXCR3(+)CD4(+) T lymphocytes into tumor beds. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 204 | 26% |
Spain | 58 | 7% |
United Kingdom | 53 | 7% |
France | 28 | 4% |
Australia | 21 | 3% |
Canada | 17 | 2% |
Italy | 13 | 2% |
Germany | 9 | 1% |
Brazil | 8 | 1% |
Other | 97 | 12% |
Unknown | 281 | 36% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 462 | 59% |
Scientists | 224 | 28% |
Practitioners (doctors, other healthcare professionals) | 82 | 10% |
Science communicators (journalists, bloggers, editors) | 21 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3188 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 564 | 18% |
Student > Ph. D. Student | 434 | 14% |
Student > Bachelor | 295 | 9% |
Student > Master | 291 | 9% |
Other | 187 | 6% |
Other | 482 | 15% |
Unknown | 935 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 567 | 18% |
Medicine and Dentistry | 505 | 16% |
Immunology and Microbiology | 352 | 11% |
Agricultural and Biological Sciences | 339 | 11% |
Pharmacology, Toxicology and Pharmaceutical Science | 91 | 3% |
Other | 271 | 9% |
Unknown | 1063 | 33% |