A novel molecular classification based on efferocytosis-related genes for predicting clinical outcome and treatment response in acute myeloid leukemia

被引:0
|
作者
Zhong, Fangmin [1 ]
Yao, Fangyi [1 ]
Bai, Qin [1 ]
Liu, Jing [1 ]
Li, Xiaolin [1 ]
Huang, Bo [1 ]
Wang, Xiaozhong [1 ]
机构
[1] Nanchang Univ, Affiliated Hosp 2, Jiangxi Prov Clin Res Ctr Lab Med,Jiangxi Med Coll, Dept Clin Lab,Jiangxi Prov Key Lab Immunol & Infla, Nanchang, Jiangxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Acute myeloid leukemia; Efferocytosis; Molecular subtypes; Immune landscape; Prognosis; Immunotherapy; TUMOR-ASSOCIATED MACROPHAGES; LINIFANIB ABT-869; CELLS; APOPTOSIS;
D O I
10.1007/s00011-024-01938-w
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
BackgroundPrevious studies have shown that macrophage-mediated efferocytosis is involved in immunosuppression in acute myeloid leukemia (AML). However, the regulatory role of efferocytosis in AML remains unclear and needs further elucidation.MethodsWe first identified the key efferocytosis-related genes (ERGs) based on the expression matrix. Efferocytosis-related molecular subtypes were obtained by consensus clustering algorithm. Differences in immune landscape and biological processes among molecular subtypes were further evaluated. The efferocytosis score model was constructed to quantify molecular subtypes and evaluate its value in prognosis prediction and treatment decision-making in AML.ResultsThree distinct efferocytosis-related molecular subtypes were identified and divided into immune activation, immune desert, and immunosuppression subtypes based on the characteristics of the immune landscape. We evaluated the differences in clinical and biological features among different molecular subtypes, and the construction of an efferocytosis score model can effectively quantify the subtypes. A low efferocytosis score is associated with immune activation and reduced mutation frequency, and patients have a better prognosis. A high efferocytosis score reflects immune exhaustion, increased activity of tumor marker pathways, and poor prognosis. The prognostic predictive value of the efferocytosis score model was confirmed in six AML cohorts. Patients exhibiting high efferocytosis scores may derive therapeutic benefits from anti-PD-1 immunotherapy, whereas those with low efferocytosis scores tend to exhibit greater sensitivity towards chemotherapy. Analysis of treatment data in ex vivo AML cells revealed a group of drugs with significant differences in sensitivity between different efferocytosis score groups. Finally, we validated model gene expression in a clinical cohort.ConclusionsThis study reveals that efferocytosis plays a non-negligible role in shaping the diversity and complexity of the AML immune microenvironment. Assessing the individual efferocytosis-related molecular subtype in individuals will help to enhance our understanding of the characterization of the AML immune landscape and guide the establishment of more effective clinical treatment strategies.
引用
收藏
页码:1889 / 1902
页数:14
相关论文
共 50 条
  • [1] Construction of an acute myeloid leukemia prognostic model based on m6A-related efferocytosis-related genes
    Wang, Ying
    Bin, Ting
    Tang, Jing
    Xu, Xiao-Jun
    Lin, Chao
    Lu, Bo
    Sun, Tian-Tian
    FRONTIERS IN IMMUNOLOGY, 2023, 14
  • [2] Clinical Characteristics and Treatment Outcome of Hypocellular Acute Myeloid Leukemia Based on WHO Classification
    Colovic, Natasa
    Dencic-Fekete, Marija
    Perunicic, Maja
    Jurisic, Vladimir
    INDIAN JOURNAL OF HEMATOLOGY AND BLOOD TRANSFUSION, 2020, 36 (01) : 59 - 63
  • [3] Clinical Characteristics and Treatment Outcome of Hypocellular Acute Myeloid Leukemia Based on WHO Classification
    Nataša Čolović
    Marija Denčić-Fekete
    Maja Peruničić
    Vladimir Jurišić
    Indian Journal of Hematology and Blood Transfusion, 2020, 36 : 59 - 63
  • [4] A novel immunogenic cell death-related classification indicates the immune landscape and predicts clinical outcome and treatment response in acute myeloid leukemia
    Zhong, Fangmin
    He, Shuyang
    Guo, Ni
    Shi, Luyi
    Zhang, Linlin
    Jin, Hua
    Kong, Guangyao
    CANCER CELL INTERNATIONAL, 2024, 24 (01)
  • [5] Genomic profiling and predicting treatment response in acute myeloid leukemia
    Isidori, Alessandro
    Loscocco, Federica
    Curti, Antonio
    Amadori, Sergio
    Visani, Giuseppe
    PHARMACOGENOMICS, 2019, 20 (07) : 467 - 470
  • [6] Toxicity and outcome of children with treatment related acute myeloid leukemia
    Tabori, Uri
    Revah, Giselle
    Nathan, Paul C.
    Strahm, Brigitte
    Rachlis, Alisa
    Shago, Mary
    Grant, Ronald
    Doyle, John
    Malkin, David
    PEDIATRIC BLOOD & CANCER, 2008, 50 (01) : 17 - 23
  • [7] Identification of a novel unfolded protein response related signature for predicting the prognosis of acute myeloid leukemia
    Long, Fei
    Lu, Wenjie
    Chu, Yanan
    Xiong, Hao
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [8] Genetic profiling in acute myeloid leukemia: a path to predicting treatment outcome
    Visani, Giuseppe
    Loscocco, Federica
    Isidori, Alessandro
    Piccaluga, Pier Paolo
    EXPERT REVIEW OF HEMATOLOGY, 2018, 11 (06) : 455 - 461
  • [9] Treatment and clinical outcome of patients with secondary acute myeloid leukemia (myelodysplastic syndrome-related).
    Galanopoulos, AG
    Tsourveloudis, I
    Leivada, A
    Kefalou, P
    Belechri, M
    Michalis, E
    Marinakis, T
    Gortzolidis, G
    Zomas, A
    Skandalis, A
    Anagnostopoulos, NI
    BLOOD, 2003, 102 (11) : 328B - 329B
  • [10] A nomogram based on clinical features and molecular abnormalities for predicting the prognosis of patients with acute myeloid leukemia
    Guo, Yuancheng
    Niu, Yujie
    Liang, Haiping
    Yang, Xiaoxiao
    Jian, Jinli
    Tang, Xiao
    Liu, Bei
    TRANSLATIONAL CANCER RESEARCH, 2023, 12 (12) : 3432 - 3442