| Literature DB >> 28638737 |
Dipti Vijayan1, Deborah S Barkauskas1, Kimberley Stannard1, Erin Sult2, Rebecca Buonpane2, Kazuyoshi Takeda3, Michele W L Teng4, Kris Sachsenmeier5, Carl Hay2, Mark J Smyth1,6.
Abstract
The emerging role for CD73 in driving cancer growth and metastasis has presented opportunities to develop anti-CD73 monoclonal antibodies (mAbs) in the treatment of human cancers. Blockade of CD73 by antagonistic CD73 mAbs ameliorates tumor growth and metastasis via the inhibition of enzymatic and non-enzymatic CD73 pathways. In this study, we investigated whether Fc-receptor cross-linking represented a non-redundant mechanism by which anti-CD73 mAbs exert potent suppression of solid tumors and metastases. We engineered four anti-CD73 mAbs, each different in their ability to modulate CD73 enzymatic function and bind Fc receptors. mAbs recognizing a similar epitope of CD73 (CD73-04, TY/23 and 2C5) displayed the greatest antitumor activity. Importantly, we observed that the optimal control of metastasis by anti-CD73 mAbs involved primarily Fc receptor engagement, while suppression of solid tumors required both, enzyme inhibition and activation of Fc receptors. Engagement of Fc-receptors was also essential for optimal anti-metastatic effect in combination with either A2AR inhibitor or anti-PD-1 mAb treatment. The control of experimental metastases relied on the activation of host NK cells and IFNγ, while NK cells, CD8+ T cells and IFNγ were needed for effective antitumor effect in the spontaneous metastases model. These observations advance our understanding of the enzymatic and non-enzymatic functions of anti-CD73 mAbs in solid tumors and metastases. Altogether, these findings will greatly assist in the design of anti-CD73 mAbs to be used as either single agents or in combination with other immunotherapeutic molecules or targeted therapies.Entities:
Keywords: Adenosine; CD73; combination therapy; immunotherapy; tumor
Year: 2017 PMID: 28638737 PMCID: PMC5467999 DOI: 10.1080/2162402X.2017.1312044
Source DB: PubMed Journal: Oncoimmunology ISSN: 2162-4011 Impact factor: 8.110