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ORIGINAL RESEARCH article

Front. Cell Dev. Biol.
Sec. Stem Cell Research
Volume 12 - 2024 | doi: 10.3389/fcell.2024.1549294

Stem Cell status and Prognostic Applications of Cuproptosis-associated lncRNAs in Acute Myeloid Leukemia

Provisionally accepted
Zhuodong Chai Zhuodong Chai 1Zhongyue Yuan Zhongyue Yuan 2Yifei Chen Yifei Chen 3*
  • 1 Texas A and M University, College Station, Texas, United States
  • 2 Purdue University, West Lafayette, Indiana, United States
  • 3 Yangzhou University, Yangzhou, China

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

    Acute myeloid leukemia (AML), a highly heterogeneous hematological malignancy, remains a major challenge in adult oncology. Stem cell research has highlighted the crucial role of long noncoding RNA (lncRNA) in regulating cellular differentiation and self-renewal processes, which are pivotal in AML pathogenesis and therapy resistance. This study explores the relationship between cuproptosis-related lncRNAs and AML prognosis, providing novel insights into their impact on hematopoietic stem and progenitor cells. We collected clinical information from 214 AML patients in our center and analyzed the association between granulocyte recovery after chemotherapy, cuproptosis, and prognosis. Additionally, we developed a prognostic model-the cuproptosis-associated long noncoding RNA prognostic model (CRLPM)-by analyzing data from The Cancer Genome Atlas (TCGA). Patients were stratified into high-and low-risk groups based on CRLPM, revealing significant survival differences. High-risk patients demonstrated lower sensitivity to chemotherapeutic agents such as Axitinib, GSK429286A, Navitoclax, and ZM-447439, underscoring the need for alternative therapeutic strategies. CRLPM offers a promising framework for integrating stem cell-focused approaches into personalized treatment regimens, paving the way for precision medicine in AML management.

    Keywords: cuproptosis, lncRNA, AML Prognostic Model, Stem Cells, drug sensitivity, immune microenvironment

    Received: 20 Dec 2024; Accepted: 30 Dec 2024.

    Copyright: © 2024 Chai, Yuan and Chen. 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: Yifei Chen, Yangzhou University, Yangzhou, 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.