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ORIGINAL RESEARCH article

Front. Oncol.
Sec. Molecular and Cellular Oncology
Volume 14 - 2024 | doi: 10.3389/fonc.2024.1473048
This article is part of the Research Topic Formation of Immunological Niches in Tumor Microenvironments: Mechanisms and Therapeutic Potential View all 3 articles

Characterization of Ligand-Receptor Pair in Acute Myeloid Leukemia: A Scoring Model for Prognosis, Therapeutic Response, and T Cell Dysfunction

Provisionally accepted
Chunlan Fu Chunlan Fu 1Di Qiu Di Qiu 1Mei Zhou Mei Zhou 1Shaobo Ni Shaobo Ni 1Xin Jin Xin Jin 2*
  • 1 Department of Hematology, Zhuji Affiliated Hospital of Wenzhou Medical University, Zhuji, China
  • 2 Department of Breast Surgery, Zhuji Affiliated Hospital of Wenzhou Medical University, Zhuji, China

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

    The significance of ligand-receptor (LR) pair interactions in the progression of acute myeloid leukemia (AML) has been the focus of numerous studies. However, the relationship between LR pairs and the prognosis of AML, as well as their impact on treatment outcomes, is not fully elucidated. Leveraging data from the TCGA-LAML cohort, we mapped out the LR pair interactions and distinguished specific molecular subtypes, with each displaying distinct biological characteristics. These subtypes exhibited varying mutation landscapes, pathway characteristics, and immune infiltration levels. Further insight into the immune microenvironment among these subtypes revealed disparities in immune cell abundance. Notably, one subtype showed a higher prevalence of CD8 T cells and plasma cells, suggesting increased adaptive immune activities. Leveraging a multivariate Lasso regression, we formulated an LR pair-based scoring model, termed "LR.score," to classify patients based on prognostic risk. Our findings underscored the association between elevated LR scores and T-cell dysfunction in AML. This connection highlights the LR score's potential as both a prognostic marker and a guide for personalized therapeutic interventions. Moreover, our LR.score revealed substantial survival prediction capacities in an independent AML cohort. We highlighted CLEC11A, ICAM4, ITGA4, and AVP as notably AML-specific. qRT-PCR analysis on AML versus normal bone marrow samples confirmed the significant downregulation of CLEC11A, ITGA4, ICAM4, and AVP in AML, suggesting their inverse biomarker potential in AML. In summary, this study illuminates the significance of the LR pair network in predicting AML prognosis, offering avenues for more precise treatment strategies tailored to individual patient profiles.

    Keywords: Ligand-receptor, Acute Myeloid Leukemia, prognosis, Therapeutic response, T cell

    Received: 30 Jul 2024; Accepted: 20 Sep 2024.

    Copyright: © 2024 Fu, Qiu, Zhou, Ni and Jin. 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: Xin Jin, Department of Breast Surgery, Zhuji Affiliated Hospital of Wenzhou Medical University, Zhuji, 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.