Evidence map›Paper›PMID 34642094›Full record

ReviewTrends in immunology2021

Archetypes of checkpoint-responsive immunity.

Kwok Im, Alexis J Combes, Matthew H Spitzer, Ansuman T Satpathy, Matthew F Krummel

Open access · greenAbstract readReview
In one paragraph

Review in Trends in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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  7. Review
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  9. Review
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  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Kwok ImDepartment of Pathology and ImmunoX Initiative, University of California at San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California at San Francisco, San Francisco, CA 94143, USA.
Alexis J CombesDepartment of Pathology and ImmunoX Initiative, University of California at San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California at San Francisco, San Francisco, CA 94143, USA.
Matthew H SpitzerDepartment of Otolaryngology, School of Medicine, University of California at San Francisco, San Franciso, CA 94143, USA.
Ansuman T SatpathyDepartment of Pathology, Stanford University, Stanford, CA 94305, USA.
Matthew F KrummelDepartment of Pathology and ImmunoX Initiative, University of California at San Francisco, San Francisco, CA 94143, USA. Electronic address: Matthew.Krummel@ucsf.edu.
University of California, San Francisco · USStanford University · USUniversity of St. Francis · US

Funding

Integrating targeted and immunotherapy to treat genetically heterogeneous cancersU01CA217864 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BALMAIN, ALLAN, KRUMMEL, MATTHEW F · 2017 to 2021
$5.1M
The Tumor Microenvironment Niche of Type I conventional Dendritic CellsR01CA197363 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MATTHEW F KRUMMEL · 2017 to 2026
$4.5M
NCI NIH HHS R01 CA197363NCI NIH HHS U01 CA217864
6 · The paper itself

Abstract

Responsiveness to immune checkpoint blockade (ICB) therapy in cancer is currently predicted by disparate individual measures - with varying degrees of accuracy - including tumor mutation burden, tumor-infiltrating T cell densities, dendritic cell frequencies, and the expression of checkpoint ligands. We propose that many of these individual parameters are linked, forming two distinct 'reactive' immune archetypes - collections of cells and gene expression - in ICB-responsive patients. We hypothesize that these are 'seeds' of antitumor immunity and are supported by specific elements of the tumor microenvironment (TME) and by actions of the microbiome. Although removing 'immunosuppressive' factors in the TME is important, understanding and parsing reactive immunity is crucial for optimal prognosis and for engaging this biology with candidate therapies to increase tumor cure rates.

Indexed as

NeoplasmsTumor MicroenvironmentBiomarkers, TumorHumansPrognosisT-LymphocytesBiomarkers, Tumor

Identifiers

PMID34642094
PMCPMC8724347
OpenAlexW3205602223

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.