A model based on eight iron metabolism-related genes accurately predicts acute myeloid leukemia prognosis

作者全名："Liu, Zhanshu; Huang, Xi"

作者地址："[Liu, Zhanshu] Chongqing Med Univ, Yongchuan Hosp, Dept Hematol, Chongqing 402160, Peoples R China; [Huang, Xi] Chongqing Med Univ, Affiliated Hosp 2, Dept Hematol, Chongqing 400010, Peoples R China"

通信作者："Huang, X (通讯作者)，Chongqing Med Univ, Affiliated Hosp 2, Dept Hematol, Chongqing 400010, Peoples R China."

来源：BIOCELL

ESI学科分类：BIOLOGY & BIOCHEMISTRY

WOS号：WOS:000950611400004

JCR分区：Q3

影响因子：1.2

年份：2023

卷号：47

期号：3

开始页：593

结束页：605

文献类型：Article

关键词：Acute myeloid leukemia; IMRGs; Prognostic signature; Infiltrating immune cells; Bioinformatics

摘要："Purpose: Iron metabolism maintains the balance between iron absorption and excretion. Abnormal iron metabolism can cause numerous diseases, including tumor. This study determined the iron metabolism-related genes (IMRGs) signature that can predict the prognosis of acute myeloid leukemia (AML). The roles of these genes in the immune microenvironment were also explored. Methods: A total of 514 IMRGs were downloaded from the Molecular Characteristics Database (MSigDB). IMRGs related to AML prognosis were identified using Cox regression and LASSO analyses and were used to construct the risk score model. AML patients were stratified into high-risk groups (cluster 1) and low-risk groups (cluster 2) based on the mean value of the risk score. The accuracy and prognosis prediction potential of the risk-score model was evaluated using Kaplan-Meier and receiver operating characteristics analysis. The stromal score, immune scores, and immune cells infiltrated in AML samples were estimated using CIBERSORT, MCPcountre, and Xcell algorithms. The role of immune checkpoint genes in the AML microenvironment and the prognostic value of the IMRGs were also evaluated. Results: An AML prognosis prediction model was established based on the eight most critical IMRGs. Further analyses revealed that the model could accurately predict AML prognosis. The expression of IMRGs correlated with the infiltration of several immune cells and could influence response to certain chemotherapy drugs and immunotherapy. Conclusion: A model based on IMRGs can accurately predict the overall survival and disease-free survival of AML patients."

基金机构："Research Project of Yongchuan Hospital, Chongqing Medical University [YJJC202013]; Natural Science Foundation of Yongchuan District, Chongqing [2021yc-jckx20029]"

基金资助正文："Funding Statement: This work was supported by the Research Project of Yongchuan Hospital, Chongqing Medical University (YJJC202013) and the Natural Science Foundation of Yongchuan District, Chongqing (2021yc-jckx20029) ."