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Discovering dominant tumor immune archetypes in a pan-cancer census. | LitMetric

Discovering dominant tumor immune archetypes in a pan-cancer census.

Cell

Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA. Electronic address:

Published: January 2022

AI Article Synopsis

  • Cancers can be very different from each other depending on where they start and their specific changes in genes.
  • * A research project at UCSF looked at 364 individual tumors from 12 types of cancer to find common patterns in how the immune system interacts with these tumors.
  • * The study found specific immune patterns (called archetypes) that can help doctors understand cancer better and figure out new ways to treat it.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8862608PMC
http://dx.doi.org/10.1016/j.cell.2021.12.004DOI Listing

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