Evidence map›Paper›PMID 40236710›Full record

ArticleFrontiers in immunology2025

Heterogeneity of γδ T-cell subsets and their clinical correlation in patients with AML.

Siyuan Jiang, Shiyu Zheng, Chao Yao, Dengchong Ning, Shaoyun Zou, Jiannan Zhan, Tianbi Lan, Tingzhuang Yi, Zhenyi Jin, Xiuli Wu

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

10 authors.

Siyuan Jiang *Institute of Hematology, Medical Laboratory Center, School of Medicine, Jinan University, Guangzhou, China.
Shiyu Zheng *Institute of Hematology, Medical Laboratory Center, School of Medicine, Jinan University, Guangzhou, China.
Chao Yao *Institute of Hematology, Medical Laboratory Center, School of Medicine, Jinan University, Guangzhou, China.
Dengchong NingYoujiang Medical University for Nationalities, Baise, China.
Shaoyun ZouInstitute of Hematology, Medical Laboratory Center, School of Medicine, Jinan University, Guangzhou, China.
Jiannan ZhanInstitute of Hematology, Medical Laboratory Center, School of Medicine, Jinan University, Guangzhou, China.
Tianbi LanDongguan Institute of Clinical Cancer Research, Dongguan Key Laboratory of Precision Diagnosis and Treatment for Tumors, The Tenth Affiliated Hospital, Southern Medical University (Dongguan People's Hospital), Dongguan, China.
Tingzhuang YiDepartment of Oncology, Affiliated Hospital of YouJiang Medical University for Nationalities/Key Laboratory of Molecular Pathology in Tumors of Guangxi Higher Education Institutions, Baise, China.
Zhenyi JinDepartment of Pathology, School of Medicine, Jinan University, Guangzhou, China.
Xiuli WuInstitute of Hematology, Medical Laboratory Center, School of Medicine, Jinan University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: γδ T cells are integral elements of the immune system and have shown therapeutic potential in the treatment of acute myeloid leukemia (AML). Nevertheless, the influence of distinct functional subsets, including the activating marker NKG2D, the immune exhaustion marker TIGIT, and the regulatory marker Foxp3, on therapeutic outcomes in AML patients remains unknown. Methods: First, we analyzed RNA-seq data from 167 patients in The Cancer Genome Atlas (TCGA) database, concentrating on the correlations between Results: Based on data from TCGA database, we found that a high expression level of NKG2D in combination with a low expression level of TIGIT was significantly associated with longer overall survival (OS) in AML patients. Clinical data revealed that γδ T cells from AML-DN patients exhibited higher expression levels of TIGIT and Foxp3, whereas NKG2D expression was lower compared to that of HCs. Notably, the expression of the NKG2D Conclusion: This study indicates that NKG2D

Indexed as

Intraepithelial LymphocytesLeukemia, Myeloid, AcuteReceptors, Antigen, T-Cell, gamma-deltaT-Lymphocyte SubsetsAdultAgedFemaleForkhead Transcription FactorsHumansMaleMiddle AgedNK Cell Lectin-Like Receptor Subfamily KPrognosisReceptors, ImmunologicYoung AdultForkhead Transcription FactorsFOXP3 protein, humanKLRK1 protein, humanNK Cell Lectin-Like Receptor Subfamily KReceptors, Antigen, T-Cell, gamma-deltaReceptors, ImmunologicTIGIT protein, humanacute myeloid leukemiaFoxp3immune subsetsNKG2DprognosisTIGITγδ T cells

Identifiers

PMID40236710
PMCPMC11996841

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.