Evidence map›Paper›PMID 28574425›Full record

ArticleCancers2017

Local Immune Responsiveness of Mice Bearing Premalignant Oral Lesions to PD-1 Antibody Treatment.

Corinne A Levingston, M Rita I Young

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

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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

2 authors at 2 institutions in 1 country.

Corinne A LevingstonResearch Service, Ralph H. Johnson VA Medical Center, Charleston, SC 29401, USA. cos25@musc.edu.
M Rita I YoungResearch Service, Ralph H. Johnson VA Medical Center, Charleston, SC 29401, USA. youngmr@musc.edu.
Medical University of South Carolina · USRalph H. Johnson VA Medical Center · US

Funding

Sustaining a Th17 Phenotype to Prevent Premalignant Lesion Progression to CancerI01CX000851 · VA · RALPH H JOHNSON VA MEDICAL CENTER · PI YOUNG, M. RITA · 2013 to 2016
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CSRD VA I01 CX000851
6 · The paper itself

Abstract

A carcinogen-induced premalignant oral lesion model that progresses to oral cancer was used to examine the immunological impact of a 5-week treatment regimen to block programmed cell death protein 1 (PD-1). PD-1 antibody treatment resulted in concurrent, but transient, increases in interleukin (IL)-2, IFN-γ and IL-17, and delayed increases in IL-6 and IL-10 within the lesion-bearing tongue epithelium. In contrast, cytokine secretion by lymph node cells of PD-1 antibody-treated mice was lower than for mice treated with control antibodies, with the exception of interferon (IFN)-γ, whose secretion increased late in the treatment period. This delayed secretion of IFN-γ coincided with an increase in CD4⁺ lymph node cells expressing IFN-γ. Lymph node cells of PD-1 antibody-treated mice reacted to a challenge with lysates of lesions or cancer by early production of IFN-γ, but this rapidly subsided. There also was increased production IL-17 and tumor necrosis factor (TNF)-α in response to the challenge, but the response was greatest by cells of control lesion-bearing mice. Clinical assessment showed an early but transient, stabilization of disease in mice treated with PD-1 antibody. These results show an early beneficial, but time-limited, response to PD-1 antibody treatment, which then fails with continued lesion progression.

Indexed as

cytokineshead and neck cancerhead and neck squamous cell carcinomaimmunotherapyPD-1premalignant oral lesionsT cell

Identifiers

PMID28574425
PMCPMC5483881
OpenAlexW2621189473

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.