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Identification of cell surface markers for acute myeloid leukemia prognosis based on multi-model analysis

Journal of Biomedical Research 2024年第4期38卷 397-412页

作者： Jiaqi Tang Lin Luo Bakwatanisa Bosco Ning Li Bin Huang Rongrong Wu Zihan Lin Ming Hong Wenjie Liu Lingxiang Wu Wei Wu Mengyan Zhu Quanzhong Liu Peng Xia Miao Yu Diru Yao Sali Lv Ruohan Zhang Wentao Liu Qianghu Wang Kening Li Department of Bioinformatics School of Biomedical Engineering and InformaticsNanjing Medical UniversityNanjingJiangsu 211166China Department of Hematology of the Affiliated Huai'an No.1 People's Hospital of Nanjing Medical University Northern Jiangsu Institute of Clinical MedicineHuai'anJiangsu 223300China Collaborative Innovation Center for Personalized Cancer Medicine Jiangsu Key Lab of Cancer BiomarkersPrevention and TreatmentNanjing Medical UniversityNanjingJiangsu 211166China Department of Hematology the First Affiliated Hospital of Nanjing Medical UniversityJiangsu Province HospitalNanjingJiangsu 210029China Key Laboratory of Hematology of Nanjing Medical University NanjingJiangsu 210029China Department of Pharmacology School of Basic Medical SciencesNanjing Medical UniversityNanjingJiangsu 211166China The Affiliated Cancer Hospital of Nanjing Medical University Jiangsu Cancer HospitalJiangsu Institute of Cancer ResearchNanjingJiangsu 210002China

Given the extremely high inter-patient heterogeneity of acute myeloid leukemia(AML),the identification of biomarkers for prognostic assessment and therapeutic guidance is *** surface markers(CSMs)have been shown to play an important role in AML leukemogenesis and *** the current study,we evaluated the prognostic potential of all human CSMs in 130 AML patients from The Cancer Genome Atlas(TCGA)based on differential gene expression analysis and univariable Cox proportional hazards regression *** using multi-model analysis,including Adaptive LASSO regression,LASSO regression,and Elastic Net,we constructed a 9-CSMs prognostic model for risk stratification of the AML *** predictive value of the 9-CSMs risk score was further validated at the transcriptome and proteome *** Cox regression analysis showed that the risk score was an independent prognostic factor for the AML *** AML patients with high 9-CSMs risk scores had a shorter overall and event-free survival time than those with low ***,single-cell RNA-sequencing analysis indicated that patients with high 9-CSMs risk scores exhibited chemotherapy ***,PI3K inhibitors were identified as potential treatments for these high-risk *** conclusion,we constructed a 9-CSMs prognostic model that served as an independent prognostic factor for the survival of AML patients and held the potential for guiding drug therapy.

关键词： acute myeloid leukemia cell surface markers prognosis drug sensitivity multi-model analysis

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