Evidence map›Paper›PMID 34992684›Full record

ArticleOncology letters2022

CD155 and CD112 as possible therapeutic targets of

Yuta Kaito, Mitsuhito Hirano, Muneyoshi Futami, Masanori Nojima, Hideto Tamura, Arinobu Tojo, Yoichi Imai

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

15 citing papers in PubMed, 18 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

7 authors at 3 institutions in 1 country.

Yuta KaitoDepartment of Hematology/Oncology, Research Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan.
Mitsuhito HiranoDepartment of Molecular Therapy, Advanced Clinical Research Center, The University of Tokyo, Tokyo 108-8639, Japan.
Muneyoshi FutamiDepartment of Molecular Therapy, Advanced Clinical Research Center, The University of Tokyo, Tokyo 108-8639, Japan.
Masanori NojimaDepartment of Translational Research, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan.
Hideto TamuraDepartment of Hematology, Saitama Medical Center, Dokkyo Medical University, Saitama 343-8555, Japan.
Arinobu TojoDepartment of Hematology/Oncology, Research Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan.
Yoichi ImaiDepartment of Hematology/Oncology, Research Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan.
The University of Tokyo · JPUniversity of Tokyo Hospital · JPDokkyo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myeloid leukemia (AML) relapse is considered to be related to escape from antitumor immunity. Changes in the expression of immune checkpoints, including B7 homolog (H)1 and B7-H2, have been reported to contribute to AML progression. Binding of T cell immunoglobulin and immunoreceptor tyrosine-based inhibitory motif domain (TIGIT) among other immune checkpoints on natural killer (NK) and T cells to CD155/CD112 in tumors is supposed to be inhibitory; however, the mechanism by which changes in CD155 and CD112 expression affect tumor immunity remains unclear. When the increased expression of CD155 and CD112 activates Raf-MEK-ERK pathway and Raf-MEK-ERK pathway is one of the targets of FMS-like tyrosine kinase 3 (

Indexed as

acute myeloid leukemiaCD112CD155FMS-like tyrosine kinase 3 inhibitorimmune checkpointnatural killer cell

Identifiers

PMID34992684
PMCPMC8721849
OpenAlexW4200608305

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.