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ORIGINAL RESEARCH article

Front. Oncol.
Sec. Pediatric Oncology
Volume 14 - 2024 | doi: 10.3389/fonc.2024.1494777
This article is part of the Research Topic The Immunosuppressive Microenvironment in Pediatric Cancers: Applications and Considerations in Immunotherapy View all 3 articles

Development of a prognostic model incorporating a cuproptosis-related signature and CNN3 as a predictor in childhood acute myelocytic leukemia

Provisionally accepted
Jiafan Cao Jiafan Cao Xie Mengyun Xie Mengyun Kexin Sun Kexin Sun Yijun Zhao Yijun Zhao Jiayin Zheng Jiayin Zheng Ying Wang Ying Wang Yucan Zheng Yucan Zheng Si-xi Liu Si-xi Liu *Uet Yu Uet Yu *
  • Department of Hematology and Oncology, Shenzhen Children's Hospital, Shenzhen, China

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

    Background: Childhood acute myeloid leukemia (cAML) is the second most common pediatric blood cancer, with high heterogeneity and poor prognosis. Recent studies have highlighted cuproptosis, a newly discovered form of programmed cell death triggered by the accumulation of intracellular copper ions, as a critical mechanism influencing cancer survival and resistance. Given its emerging role in cancer biology, we investigated cuproptosis-related genes (CRGs) in cAML to explore their potential in prognostic prediction and therapeutic targeting.Methods: Gene expression data from publicly available sources were analyzed to identify differentially expressed CRGs. Samples were categorized based on their expression profiles, followed by the development of a prognostic risk model using multivariable Cox regression, LASSO, and univariable analyses. The model's performance was evaluated through Kaplan-Meier survival analysis and ROC analysis. Immune infiltration in the tumor microenvironment was assessed using ssGSEA, validated by CIBERSORT. Drug sensitivity correlations were analyzed, and functional validation experiments were conducted on THP-1 and MOLM13 cell lines to assess the role of CNN3.Results: A set of 12 differential CRGs was used to build a robust prognostic risk model, with high accuracy in predicting patient outcomes (P < 0.001). Significant differences in immune cell composition were identified between risk groups, particularly in T cells, B cells, monocytes, and dendritic cells. Drug sensitivity analysis revealed altered IC50 values for drugs like 5-fluorouracil and bortezomib. Knockdown of CNN3 in leukemia cell lines led to reduced cell proliferation.Our CRGs-based prognostic model shows potential for guiding personalized treatment strategies in cAML. The differences in immune cell infiltration between risk groups suggest that immune modulation is key in cAML progression. CNN3 and LGR4 were identified as modulators of cAML progression, making them potential therapeutic targets. Future studies with larger cohorts are essential to validate these findings and further explore CRGs-targeted therapies.

    Keywords: Acute myelocytic leukemia, cuproptosis, CNN3, Prognostic model, Immune cell phenotypes

    Received: 11 Sep 2024; Accepted: 10 Oct 2024.

    Copyright: © 2024 Cao, Mengyun, Sun, Zhao, Zheng, Wang, Zheng, Liu and Yu. 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:
    Si-xi Liu, Department of Hematology and Oncology, Shenzhen Children's Hospital, Shenzhen, 518000, China
    Uet Yu, Department of Hematology and Oncology, Shenzhen Children's Hospital, Shenzhen, 518000, China

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