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ORIGINAL RESEARCH article

Front. Oncol.

Sec. Hematologic Malignancies

Volume 15 - 2025 | doi: 10.3389/fonc.2025.1435783

This article is part of the Research Topic Immunotherapy and Cell Therapy for Patients with Relapsed and Refractory Acute Myeloid Leukemia View all 6 articles

Complex causal association between genetically predicted 731 immunocyte phenotype and leukaemia: A bidirectional Two-sample mendelian randomization analysis

Provisionally accepted
Chenyang Fan Chenyang Fan 1,2*Pengying Yuan Pengying Yuan 3Weifeng Zhang Weifeng Zhang 1,2Haijing Chen Haijing Chen 1,2Xinli Zhou Xinli Zhou 1,2Yucheng Zhang Yucheng Zhang 1,2Gengda Zhu Gengda Zhu 1,2Chengyulong Zheng Chengyulong Zheng 1,2Lixiang Yan Lixiang Yan 1,2*Zhexin Shi Zhexin Shi 1,2*
  • 1 First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Nankai District, China
  • 2 National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, tianjing, China
  • 3 University Hospital of International Business and Economics, Beijing, China

The final, formatted version of the article will be published soon.

    Immunity and leukemia are closely related. However, the immune system encompasses a large and complex taxonomy, and observational studies have not fully elucidated the causal relationship between the two.This study intends to elucidate the causal relationship between 731 immunocyte phenotypes and leukemia by bidirectional Mendelian randomization (MR).Applying large-scale genome-wide association study (GWAS) pooled data, we selected 731 immunocyte phenotypes with three leukemia typologies for bidirectional Two-sample MR analysis. We applied inverse variance weighted (IVW) as the primary research method. Besides that, we applied four methods, MR Egger, Weighted median, Simple mode, and Weighted mode, to strengthen the persuasiveness of our findings. Finally, we confirmed the stability and credibility of the resulting data through sensitivity analysis.The results showed that nine immunocyte phenotypes were bidirectionally causally associated with acute myeloid leukemia (AML) (P<0.05). Among them, eight immunocyte phenotypes were positively correlated in both directions with the AML risk relationship (P<0.05, OR>1). In addition, when natural killer absolute count (NKAC) was used as an exposure factor, the positive MR results were negatively correlated (P<0.05, OR<1). When AML was used as an exposure factor, the inverse MR results were positively correlated (P<0.05, OR>1). There was a bidirectional causal association between 1 immunocyte phenotype (CD4+ CD8dim %lymphocyte) and chronic myeloid leukemia (CML) (P<0.05). When CD4+ CD8dim %lymphocyte was used as an exposure factor, positive MR results were positively correlated (P<0.05, OR>1). When CML was used as an exposure factor, the inverse MR results were negatively correlated (P<0.05, OR<1). No bidirectional causal association between immunocyte phenotypes and acute lymphoblastic leukemia was found in this study. None of the sensitivity analyses indicated multiplicity and heterogeneity of the included IVs (P>0.05).This study demonstrated a close and complex association between the immune system and leukemia progression through genetics. The setting of immune cell therapy against leukemia deserves further investigation.

    Keywords: Causally association, Immunity, immunocyte phenotype, Leukemia, Mendelian randomization

    Received: 21 May 2024; Accepted: 05 Mar 2025.

    Copyright: © 2025 Fan, Yuan, Zhang, Chen, Zhou, Zhang, Zhu, Zheng, Yan and Shi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Chenyang Fan, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Nankai District, China
    Lixiang Yan, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Nankai District, China
    Zhexin Shi, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Nankai District, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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