Abstract

To realize the full potential of immunotherapy, it is critical to understand the drivers of tumor infiltration by immune cells. Previous studies have linked immune infiltration with tumor neoantigen levels, but the broad applicability of this concept remains unknown. Here, we find that while this observation is true across cancers characterized by recurrent mutations, it does not hold for cancers driven by recurrent copy number alterations, such as breast and pancreatic tumors. To understand immune invasion in these cancers, we developed an integrative multi-omics framework, identifying the DNA damage response protein ATM as a driver of cytokine production leading to increased immune infiltration. This prediction was validated in numerous orthogonal datasets, as well as experimentally in vitro and in vivo by cytokine release and immune cell migration. These findings demonstrate diverse drivers of immune cell infiltration across cancer lineages and may facilitate the clinical adaption of immunotherapies across diverse malignancies.

Details

Title
Multi-omics analysis reveals neoantigen-independent immune cell infiltration in copy-number driven cancers
Author
McGrail, Daniel J 1   VIAFID ORCID Logo  ; Lorenzo, Federico 2 ; Li, Yongsheng 1 ; Dai, Hui 1 ; Lu, Yiling 1 ; Mills, Gordon B 1 ; Song, Yi 3 ; Lin, Shiaw-Yih 1 ; Sahni, Nidhi 4   VIAFID ORCID Logo 

 Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA 
 Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA 
 Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Oncology, Livestrong Cancer Institutes, Dell Medical School, The University of Texas at Austin, Austin, TX, USA 
 Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX, USA; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA 
Pages
1-13
Publication year
2018
Publication date
Apr 2018
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2021295109
Copyright
© 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.