| Literature DB >> 29017060 |
Fabiana Perna1, Samuel H Berman1, Rajesh K Soni2, Jorge Mansilla-Soto1, Justin Eyquem1, Mohamad Hamieh1, Ronald C Hendrickson2, Cameron W Brennan3, Michel Sadelain4.
Abstract
Chimeric antigen receptor (CAR) therapy targeting CD19 has yielded remarkable outcomes in patients with acute lymphoblastic leukemia. To identify potential CAR targets in acute myeloid leukemia (AML), we probed the AML surfaceome for overexpressed molecules with tolerable systemic expression. We integrated large transcriptomics and proteomics datasets from malignant and normal tissues, and developed an algorithm to identify potential targets expressed in leukemia stem cells, but not in normal CD34+CD38- hematopoietic cells, T cells, or vital tissues. As these investigations did not uncover candidate targets with a profile as favorable as CD19, we developed a generalizable combinatorial targeting strategy fulfilling stringent efficacy and safety criteria. Our findings indicate that several target pairings hold great promise for CAR therapy of AML.Entities:
Keywords: CAR T cell; acute myeloid leukemia (AML); algorithm; combinatorial strategies; high-throughput annotation; immunotherapy; leukemia; proteomics; surfaceome; target discovery
Mesh:
Substances:
Year: 2017 PMID: 29017060 PMCID: PMC7025434 DOI: 10.1016/j.ccell.2017.09.004
Source DB: PubMed Journal: Cancer Cell ISSN: 1535-6108 Impact factor: 31.743