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Published in: Cancer Immunology, Immunotherapy 7/2018

Open Access 01-07-2018 | Review

Quantifying tumor-infiltrating immune cells from transcriptomics data

Authors: Francesca Finotello, Zlatko Trajanoski

Published in: Cancer Immunology, Immunotherapy | Issue 7/2018

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Abstract

By exerting pro- and anti-tumorigenic actions, tumor-infiltrating immune cells can profoundly influence tumor progression, as well as the success of anti-cancer therapies. Therefore, the quantification of tumor-infiltrating immune cells holds the promise to unveil the multi-faceted role of the immune system in human cancers and its involvement in tumor escape mechanisms and response to therapy. Tumor-infiltrating immune cells can be quantified from RNA sequencing data of human tumors using bioinformatics approaches. In this review, we describe state-of-the-art computational methods for the quantification of immune cells from transcriptomics data and discuss the open challenges that must be addressed to accurately quantify immune infiltrates from RNA sequencing data of human bulk tumors.
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Literature
25.
go back to reference Lee DD, Seung HS (2001) Algorithms for non-negative matrix factorization. In: Advances in neural information processing systems 13. MIT press, pp 556–562 Lee DD, Seung HS (2001) Algorithms for non-negative matrix factorization. In: Advances in neural information processing systems 13. MIT press, pp 556–562
38.
go back to reference Blei DM, Ng AY, Jordan MI (2003) Latent dirichlet allocation. J Mach Learn Res 3:993–1022 Blei DM, Ng AY, Jordan MI (2003) Latent dirichlet allocation. J Mach Learn Res 3:993–1022
49.
go back to reference Venet D, Pecasse F, Maenhaut C, Bersini H (2001) Separation of samples into their constituents using gene expression data. Bioinformatics 17(Suppl 1):S279–S287CrossRefPubMed Venet D, Pecasse F, Maenhaut C, Bersini H (2001) Separation of samples into their constituents using gene expression data. Bioinformatics 17(Suppl 1):S279–S287CrossRefPubMed
Metadata
Title
Quantifying tumor-infiltrating immune cells from transcriptomics data
Authors
Francesca Finotello
Zlatko Trajanoski
Publication date
01-07-2018
Publisher
Springer Berlin Heidelberg
Published in
Cancer Immunology, Immunotherapy / Issue 7/2018
Print ISSN: 0340-7004
Electronic ISSN: 1432-0851
DOI
https://doi.org/10.1007/s00262-018-2150-z

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