| Literature DB >> 34963056 |
Alexis J Combes1, Bushra Samad2, Jessica Tsui2, Nayvin W Chew2, Peter Yan2, Gabriella C Reeder2, Divyashree Kushnoor2, Alan Shen2, Brittany Davidson3, Andrea J Barczak4, Michael Adkisson4, Austin Edwards2, Mohammad Naser2, Kevin C Barry5, Tristan Courau2, Taymour Hammoudi2, Rafael J Argüello6, Arjun Arkal Rao2, Adam B Olshen7, Cathy Cai2, Jenny Zhan2, Katelyn C Davis2, Robin K Kelley8, Jocelyn S Chapman9, Chloe E Atreya10, Amar Patel11, Adil I Daud12, Patrick Ha13, Aaron A Diaz14, Johannes R Kratz15, Eric A Collisson10, Gabriela K Fragiadakis16, David J Erle17, Alexandre Boissonnas18, Saurabh Asthana19, Vincent Chan20, Matthew F Krummel21.
Abstract
Cancers display significant heterogeneity with respect to tissue of origin, driver mutations, and other features of the surrounding tissue. It is likely that individual tumors engage common patterns of the immune system-here "archetypes"-creating prototypical non-destructive tumor immune microenvironments (TMEs) and modulating tumor-targeting. To discover the dominant immune system archetypes, the University of California, San Francisco (UCSF) Immunoprofiler Initiative (IPI) processed 364 individual tumors across 12 cancer types using standardized protocols. Computational clustering of flow cytometry and transcriptomic data obtained from cell sub-compartments uncovered dominant patterns of immune composition across cancers. These archetypes were profound insofar as they also differentiated tumors based upon unique immune and tumor gene-expression patterns. They also partitioned well-established classifications of tumor biology. The IPI resource provides a template for understanding cancer immunity as a collection of dominant patterns of immune organization and provides a rational path forward to learn how to modulate these to improve therapy.Entities:
Keywords: Pan Cancer analysis; immune profiling; solid tumor microenvironement; system immunology; tumor immunology; unsupervised clustering
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Year: 2021 PMID: 34963056 PMCID: PMC8862608 DOI: 10.1016/j.cell.2021.12.004
Source DB: PubMed Journal: Cell ISSN: 0092-8674 Impact factor: 41.582