Evidence map›Paper›PMID 41372872›Full record

ArticleBMC cancer2025

New drug targets for acute myeloid leukemia identified through a comprehensive analysis of the plasma protein.

Yaonan Hong, Xu Wang, Jingjie Dong, Qi Liu, Yingying Shen, Xiawan Yang, Peicheng Wang, Wenjie Li, Baodong Ye, Keding Shao and 2 more

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Yaonan Hong *Department of Hematology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, 310006, P. R. China.
Xu Wang *The First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Jingjie Dong *Department of Hematology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, 310006, P. R. China.
Qi LiuDepartment of Hematology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, 310006, P. R. China.
Yingying ShenDepartment of Hematology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, 310006, P. R. China.
Xiawan YangDepartment of Hematology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, 310006, P. R. China.
Peicheng WangDepartment of Hematology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, 310006, P. R. China.
Wenjie LiThe First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Baodong YeDepartment of Hematology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, 310006, P. R. China.
Keding ShaoDepartment of Hematology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, 310006, P. R. China.
Ya-Huei KuoDepartment of Hematological Malignancies Translational Science, Gehr Family Center for Leukemia Research, Hematologic Malignancies and Stem Cell Transplantation Institute, Beckman Research Institute, City of Hope Medical Center, Duarte, CA, 91010, USA. YKuo@coh.org.
Dijiong WuDepartment of Hematology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, 310006, P. R. China. wudijiong@zcmu.edu.cn.

Funding

National Natural Science Foundation of China 81503296Project of Academic Inheritance Studio of Famous and Aged Chinese Medicine Experts in Zhejiang Province GZS2021022Science and Technological Innovation Project for College Students in Zhejiang Province (Xinmiao Talent Plan) 2023R410003Specific Program of Scientific Research of Zhejiang Chinese Medicine University for Affiliated Hospital 2023FSYYZZ04the Zhejiang Provincial Natural Science Foundation LY21H290003Zhejiang Scientific Research Fund of Traditional Chinese Medicine 2020ZB085
6 · The paper itself

Abstract

objectiveAcute myeloid leukemia (AML) is a malignant blood disease with a poor prognosis. With the development of targeted therapies, many refractory/relapsed or unfit AML patients have achieved better survival rates. However, primary or acquired resistance frequently occurs, and some targets become unavailable. This study aimed to identify and verify novel targets for AML using Mendelian Randomization (MR) analysis.

methodThe association between plasma protein quantitative trait loci (pQTL), expression quantitative trait loci (eQTL), and AML was examined via MR. Bayesian co-localization analysis was used to detect common segments of TCL1A and AML. Bioinformatics technology was used to explore the relationship between TCL1A and AML, and quantitative real-time PCR (RT-qPCR) analysis was used to detect the expression of TCL1A in various cell lines. Furthermore, high-throughput virtual screening (HTVS) and molecular dynamics (MD) simulation was used to identify potential TCL1A inhibitors. Further verification was carried out by AML cell experiments.

resultsOur study found a strong association between plasma TCL1A protein levels and AML (OR: 1.66; 95% CI: 1.46–1.88), and rs78986913 was the same variant in both TCL1A and AML. High TCL1A expression was associated with low overall survival rates in AML patients (P < 0.001), especially in the FAB M0 and M2 subgroups. Additionally, TCL1A was abnormally highly expressed in many AML cell lines (including MOLM-13, MV4-11, THP-1) compared to normal bone marrow stromal cells (HS-5) and other solid tumor cells. We also identified 19 small molecules, finding that Bletilloside A (id number: 2292159-89-6) is one of the most fitting small molecules for the TCL1A protein pocket. MD simulation confirmed the good stability of the Bletilloside A-TCL1A complex. And Bletilloside A could inhibit the proliferation of AML by inhibiting TCL1A.

conclusionThere is a causal relationship between TCL1A and AML. The expression level of TCL1A deserves further monitoring in clinical settings, and the benefits of targeting TCL1A should be further validated.

Indexed as

Antineoplastic AgentsLeukemia, Myeloid, AcuteProto-Oncogene ProteinsBayes TheoremCell Line, TumorHumansMolecular Dynamics SimulationPolymorphism, Single NucleotideQuantitative Trait LociAntineoplastic AgentsProto-Oncogene ProteinsTCL1A protein, humanAcute myeloid leukemiaBletilloside AHigh-throughput virtual screeningMendelian randomizationTCL1 family AKT coactivator A

Identifiers

PMID41372872
PMCPMC12822165

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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.