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Understanding the tumor immune microenvironment (TIME) for effective therapy

  • Mikhail Binnewies
    ,
  • Edward W. Roberts
    ,
  • Kelly Kersten
    ,
  • Vincent Chan
    ,
  • Douglas F. Fearon
    ,
  • Miriam Merad
*Corresponding author for this work
  • University of California at San Francisco
    ,
  • Cold Spring Harbor Laboratory
    ,
  • Icahn School of Medicine at Mount Sinai
    ,
  • Oregon Health and Science University
    ,
  • Wistar Institute
    ,
  • University of Utah
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Abstract

The clinical successes in immunotherapy have been both astounding and at the same time unsatisfactory. Countless patients with varied tumor types have seen pronounced clinical response with immunotherapeutic intervention; however, many more patients have experienced minimal or no clinical benefit when provided the same treatment. As technology has advanced, so has the understanding of the complexity and diversity of the immune context of the tumor microenvironment and its influence on response to therapy. It has been possible to identify different subclasses of immune environment that have an influence on tumor initiation and response and therapy; by parsing the unique classes and subclasses of tumor immune microenvironment (TIME) that exist within a patient's tumor, the ability to predict and guide immunotherapeutic responsiveness will improve, and new therapeutic targets will be revealed.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 541-550 (10 pages)

Journal (Volume, Issue Number)

Nature Medicine (Volume 24, Issue 5)

Publication milestones

  • Published - 05/01/2018

Publication status

Published - 05/01/2018

ISSN

1078-8956

Publication IDs

  • Scopus: 85045833745
  • PubMed: 29686425

Publication metrics

Metrics

Scopus
citations
Fractional count
1
Fractional count
0.06
Fractional count
17
Fractional count
0.94
Fractional count
1
Fractional count
1

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Captures
4100
Citation count
5288
Mentions
28

Funding Details

FunderFunding number
NCI
R01CA202987