EconPapers    
Economics at your fingertips  
 

Multi-omics analysis reveals neoantigen-independent immune cell infiltration in copy-number driven cancers

Daniel J. McGrail, Lorenzo Federico, Yongsheng Li, Hui Dai, Yiling Lu, Gordon B. Mills, Song Yi (), Shiaw-Yih Lin () and Nidhi Sahni ()
Additional contact information
Daniel J. McGrail: The University of Texas MD Anderson Cancer Center
Lorenzo Federico: The University of Texas MD Anderson Cancer Center
Yongsheng Li: The University of Texas MD Anderson Cancer Center
Hui Dai: The University of Texas MD Anderson Cancer Center
Yiling Lu: The University of Texas MD Anderson Cancer Center
Gordon B. Mills: The University of Texas MD Anderson Cancer Center
Song Yi: The University of Texas MD Anderson Cancer Center
Shiaw-Yih Lin: The University of Texas MD Anderson Cancer Center
Nidhi Sahni: The University of Texas MD Anderson Cancer Center

Nature Communications, 2018, vol. 9, issue 1, 1-13

Abstract: 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.

Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-018-03730-x Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-03730-x

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-018-03730-x

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-03730-x