Evidence map›Paper›PMID 29723108›Full record

ReviewCancer biology & therapy2018

Animal models for studying tumor microenvironment (TME) and resistance to lymphocytic infiltration.

Ryuji Yamaguchi, Guy Perkins

Open access · hybridAbstract readReview
In one paragraph

Review in Cancer biology & therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.7field-weighted citation impact, top 12% 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

22 citing papers in PubMed, 36 citations in OpenAlex.

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  14. Beyond cancer cells: Targeting the tumor microenvironment with gene therapy and armed oncolytic virus.Molecular therapy : the journal of the American Society of Gene Therapy · 2021
    Review
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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 2 countries.

Ryuji Yamaguchia Anesthesiology, Kansai Medical University, 2-5-1, shinmachi , Hirakata , Osaka , Japan.ORCID 0000-0002-1706-7063
Guy Perkinsb National Center for Microscopy and Imaging Research, Biomedical Science Building Room 1000, School of Medicine, University of California San Diego , La Jolla , California , United States.
Kansai Medical University · JPUniversity of California San Diego · US

Funding

IVEM and Image Analysis ResourceP41GM103412 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELLISMAN, MARK H · 2012 to 2019
$17.9M
NIGMS NIH HHS P41 GM103412
6 · The paper itself

Abstract

In cancer immunotherapy, cytotoxic T or NK cells need to engage cancer cells to initiate the killing. However, in clinical studies and in mouse models, some solid tumors are found with no lymphocytes. It is likely that these tumors will be resistant to all sorts of immunotherapies. Thus, restoring lymphocytic infiltration will be vital to the success of immunotherapies on solid tumors. In order to understand the complex interaction between cancer cells and stromal cells, we propose to establish animal models for studying the tumor microenvironment and to develop and test therapies to restore lymphocytic infiltration of tumors Without lymphocytes infiltrating tumors, all immunotherapies on solid tumors become ineffective.

Indexed as

AnimalsAnimals, Genetically ModifiedBiomarkersDisease Models, AnimalGene Expression ProfilingHumansImmunotherapyKiller Cells, NaturalLymphocytes, Tumor-InfiltratingMiceNeoplasmsT-Lymphocytes, CytotoxicTumor MicroenvironmentXenograft Model Antitumor AssaysBiomarkerscancer biologyCAR Tchemokineimmunotherapyinterferon gammaJak kinaseskeratinmelanomatumor immunologytumor infiltrating lymphocytestumor microenvironment

Identifiers

PMID29723108
PMCPMC6154837
OpenAlexW2801748719

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.