Evidence map›Paper›PMID 38711501›Full record

ArticleFrontiers in immunology2024

Higher TIGIT+ γδ T

Qi Hou, Penglin Wang, Xueting Kong, Junjie Chen, Chao Yao, Xiaodan Luo, Yangqiu Li, Zhenyi Jin, Xiuli Wu

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. [Indolent γδT-cell clone in Felty syndrome: a case report and literature review].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. 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

9 authors.

Qi Hou *Institute of Hematology, Medical Laboratory Center, School of Medicine, Jinan University, Guangzhou, China.
Penglin Wang *Department of Pathophysiology, School of Medicine, Jinan University, Guangzhou, China.
Xueting Kong *Institute of Hematology, Medical Laboratory Center, School of Medicine, Jinan University, Guangzhou, China.
Junjie ChenInstitute of Hematology, Medical Laboratory Center, School of Medicine, Jinan University, Guangzhou, China.
Chao YaoInstitute of Hematology, Medical Laboratory Center, School of Medicine, Jinan University, Guangzhou, China.
Xiaodan LuoDepartment of Hematology, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Yangqiu LiInstitute of Hematology, Medical Laboratory Center, School of Medicine, Jinan University, Guangzhou, China.
Zhenyi JinKey Laboratory of Viral Pathogenesis and Infection Prevention and Control (Jinan University), Ministry of Education, 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

Introduction: γδ T cells recognize and exert cytotoxicity against tumor cells. They are also considered potential immune cells for immunotherapy. Our previous study revealed that the altered expression of immune checkpoint T-cell immunoreceptor with immunoglobulin and ITIM domain (TIGIT) on γδ T cells may result in immunosuppression and is possibly associated with a poor overall survival in acute myeloid leukemia (AML). However, whether γδ T-cell memory subsets are predominantly involved and whether they have a relationship with clinical outcomes in patients with AML under the age of 65 remain unclear. Methods: In this study, we developed a multicolor flow cytometry-based assay to monitor the frequency and distribution of γδ T-cell subsets, including central memory γδ T cells (T Results: Compared with HIs, patients with AMLy-DN exhibited a significantly higher differentiation of γδ T cells, which was characterized by decreased T Conclusions: In this study, we investigated the distribution of γδ T cells and their memory subsets in patients with non-M3 AML and suggested TIGIT+ T

Indexed as

Receptors, Antigen, T-Cell, gamma-deltaReceptors, ImmunologicAdultAgedFemaleHumansImmunologic MemoryImmunophenotypingLeukemia, Myeloid, AcuteLeukemia, Promyelocytic, AcuteMaleMemory T CellsMiddle AgedPrognosisT-Lymphocyte SubsetsYoung AdultReceptors, Antigen, T-Cell, gamma-deltaReceptors, ImmunologicTIGIT protein, humanmemoryprognosisTIGITyounger AMLγδ T cells

Identifiers

PMID38711501
PMCPMC11070478

What OpenQuestion holds

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Registered trials

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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.