Evidence map›Paper›PMID 40374899›Full record

ArticleNPJ precision oncology2025

Unlocking the potential of TIGIT in enhancing therapeutic strategies for acute myeloid leukemia through combined azacitidine therapy.

Yv-Yin Zhang, Jia-Jun He, Yi-Lin Liu, Ruo-Nan Shao, Kun-Hao Bai, Xue-Ping Li, Tao Guo, Pei-Hong Wang, Yu-Jun Dai

Abstract read
In one paragraph

Article in NPJ precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Reprogramming cancer immunity with next-generation combination therapies.Frontiers in cell and developmental biology · 2025
    Review
  5. Review
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.

Yv-Yin Zhang *Department of Hematology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Jia-Jun He *State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yi-Lin Liu *Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ruo-Nan ShaoState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Kun-Hao BaiState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xue-Ping LiState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Tao GuoInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Pei-Hong WangDepartment of Hematology, Guangzhou First People's Hospital, Institute of Blood Transfusion and Hematology, Guangzhou Medical University, Guangzhou, Guangdong, China. wangph91@163.com.
Yu-Jun DaiState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China. daiyj@sysucc.org.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint blockade (ICB) therapy has emerged as a pivotal advancement in cancer treatment, yet its efficacy varies among patients and resistance can develop. This study focuses on TIGIT, a newly identified immune checkpoint, to explore its expression, prognostic significance, and therapeutic potential in hematologic malignancies, particularly acute myeloid leukemia (AML). In this study, we found TIGIT highest expression levels in bone marrow and lymphoid tissues, with enrichment in immune cells such as NK-T cells and regulatory T cells (Tregs). A prognostic model incorporating TIGIT expression and other immune-related genes effectively stratified AML patients into high-risk and low-risk groups, with the former displaying significantly shorter overall survival times. Our model outperformed traditional prognostic factors, highlighting TIGIT's potential as a superior predictive biomarker. Additionally, our in vitro and in vivo studies showed that combining tiragolumab with azacitidine (AZA) synergistically enhanced anti-tumor efficacy, reducing tumor burden and extending survival in a murine AML model. Our findings underscore TIGIT's role in hematologic malignancies and its potential as a therapeutic target in AML. The combination of AZA with TIGIT inhibition offers a promising new approach for AML treatment, warranting further clinical evaluation.

Identifiers

PMID40374899
PMCPMC12081897

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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.