Informatics for cancer immunotherapy Journal Article


Authors: Hammerbacher, J.; Snyder, A.
Article Title: Informatics for cancer immunotherapy
Abstract: The rapid development of immunomodulatory cancer therapies has led to a concurrent increase in the application of informatics techniques to the analysis of tumors, the tumor microenvironment, and measures of systemic immunity. In this review, the use of tumors to gather genetic and expression data will first be explored. Next, techniques to assess tumor immunity are reviewed, including HLA status, predicted neoantigens, immune microenvironment deconvolution, and T-cell receptor sequencing. Attempts to integrate these data are in early stages of development and are discussed in this review. Finally, we review the application of these informatics strategies to therapy development, with a focus on vaccines, adoptive cell transfer, and checkpoint blockade therapies. © The Author 2017. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved.
Keywords: immunohistochemistry; single nucleotide polymorphism; somatic mutation; review; nonhuman; binding affinity; cancer immunotherapy; gene expression profiling; computational biology; genetic variability; clinical protocol; extracellular matrix; antigen presentation; molecular evolution; immunotherapy; antigen specificity; microarray analysis; immunogenicity; immunosurveillance; hla typing; bioinformatics; information science; cell transfer; genetic heterogeneity; phylogeny; adoptive cell transfer; tumor microenvironment; copy number variation; acute myeloid leukemia; checkpoint blockade; high throughput sequencing; human; priority journal; neoantigens; canopy
Journal Title: Annals of Oncology
Volume: 28
Issue: Suppl. 12
ISSN: 0923-7534
Publisher: Oxford University Press  
Date Published: 2017-12-01
Start Page: xii56
End Page: xii73
Language: English
DOI: 10.1093/annonc/mdx682
PROVIDER: scopus
PUBMED: 29253114
PMCID: PMC5834022
DOI/URL:
Notes: Review -- Export Date: 1 February 2018 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors