基于双硫死亡相关lncRNAs的急性髓系白血病预后模型构建及多维度验证

熊佳丽; 吕菁君

doi:10.14188/j.1671-8852.2025.0032

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基于双硫死亡相关lncRNAs的急性髓系白血病预后模型构建及多维度验证

肿瘤学研究 | 更新时间：2026-11-05

- 基于双硫死亡相关lncRNAs的急性髓系白血病预后模型构建及多维度验证
- Construction and multidimensional validation of a prognostic model for acute myeloid leukemia based on disulfidptosis‑associated lncRNAs
- 武汉大学学报（医学版） 2025年46卷第11期页码：1413-1421
- 作者机构：
  
  1.武汉大学人民医院，全科医学科，湖北武汉 430060
  2.武汉大学人民医院，急诊科，湖北武汉 430060
- 作者简介：
  
  熊佳丽，女，1998—，医学硕士生，主要从事脓毒血症及免疫炎症相关研究，E‑mail: 2022283020083@whu.edu.cn
  吕菁君，女，1973—，医学博士，教授，博士生导师，主要从事心肺脑复苏、脓毒血症及心血管急症急救相关研究，E‑mail: lvjingjun@whu.edu.cn
- 基金信息：
  
  湖北省重点研发计划(2023BCB017);国家重点研发计划主动健康和人口老龄化科技应对专项(2023YFC3604700);国家重点研发计划诊疗装备与生物医用技术专项(2022YFC2401900)
- DOI：10.14188/j.1671-8852.2025.0032
  中图分类号： R733.7
- 收稿：2025-01-08，
  
  纸质出版：2025-11-25
- 稿件说明：
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熊佳丽,吕菁君.基于双硫死亡相关lncRNAs的急性髓系白血病预后模型构建及多维度验证[J].武汉大学学报（医学版）,2025,46(11):1413-1421.

XIONG Jiali,LÜ Jingjun.Construction and multidimensional validation of a prognostic model for acute myeloid leukemia based on disulfidptosis‑associated lncRNAs[J].Medical Journal of Wuhan University,2025,46(11):1413-1421.
熊佳丽,吕菁君.基于双硫死亡相关lncRNAs的急性髓系白血病预后模型构建及多维度验证[J].武汉大学学报（医学版）,2025,46(11):1413-1421. DOI： 10.14188/j.1671-8852.2025.0032.

XIONG Jiali,LÜ Jingjun.Construction and multidimensional validation of a prognostic model for acute myeloid leukemia based on disulfidptosis‑associated lncRNAs[J].Medical Journal of Wuhan University,2025,46(11):1413-1421. DOI： 10.14188/j.1671-8852.2025.0032.

摘要

目的

探索双硫死亡相关长链非编码RNAs（DRLs）在急性髓系白血病（AML）中的表达特征及其预后价值，并构建有效的预后模型。

方法

从癌症基因组图谱网站（TCGA）下载AML相关转录组数据和相应临床信息，筛选出与双硫死亡相关的lncRNA。通过多变量Cox回归分析构建预后模型，并使用Kaplan‑Meier生存分析、ROC曲线和C指数进行模型验证，同时进行基因富集分析、免疫微环境分析、突变谱分析及药物敏感性预测，以探讨高低风险组的生物学差异和临床特征。

结果

筛选的风险模型DRLs包括AC007556.1、AC020916.2、AC105345.1、AL139423.1、AL627171.2和SNHG12，并构建了具有良好预后预测能力的多变量Cox回归模型。

结论

揭示了DRLs在AML中的重要作用，并提供了一个有效的预后模型，具有潜在的临床应用价值。

Abstract

Objective

To explore the expression profiles and prognostic value of double‑strand RNA death‑related long non‑coding RNAs (DRLs) in acute myeloid leukemia (AML) and to construct an effective prognostic model.

Methods

AML‑related transcriptomic data and corresponding clinical information were downloaded from The Cancer Genome Atlas (TCGA) website. DRLs associated with double‑strand RNA death were identified. A prognostic model was constructed using multivariable Cox regression analysis

and the model was validated through Kaplan‑Meier survival analysis

ROC curves

and concordance index (C‑index). Gene enrichment analysis

immune microenvironment analysis

mutation spectrum analysis

and drug sensitivity prediction were also conducted to investigate the biological differences and clinical characteristics between high‑ and low‑risk groups.

Results

The identified DRLs in the risk model included AC007556.1

AC020916.2

AC105345.1

AL139423.1

AL627171.2

and SNHG12

and a multivariable Cox regression model with good prognostic predictive ability was constructed.

Conclusion

The study revealed the significant role of DRLs in AML and provided an effective prognostic model with potential clinical application value.

关键词

Keywords

references

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