BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

213 related articles for article (PubMed ID: 35957912)

  • 1. A distinct lipid metabolism signature of acute myeloid leukemia with prognostic value.
    Li D; Liang J; Yang W; Guo W; Song W; Zhang W; Wu X; He B
    Front Oncol; 2022; 12():876981. PubMed ID: 35957912
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A novel prognostic classification integrating lipid metabolism and immune co-related genes in acute myeloid leukemia.
    Li D; Wu X; Cheng C; Liang J; Liang Y; Li H; Guo X; Li R; Zhang W; Song W
    Front Immunol; 2023; 14():1290968. PubMed ID: 38022627
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Comprehensive Metabolism-Related Gene Signature Predicts the Survival of Patients with Acute Myeloid Leukemia.
    Zhai Y; Shen H; Wei H
    Genes (Basel); 2023 Dec; 15(1):. PubMed ID: 38254953
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of an Immune-Related Gene Signature Based on Immunogenomic Landscape Analysis to Predict the Prognosis of Adult Acute Myeloid Leukemia Patients.
    Zhu R; Tao H; Lin W; Tang L; Hu Y
    Front Oncol; 2020; 10():574939. PubMed ID: 33330048
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Integrated bioinformatic analysis of mitochondrial metabolism-related genes in acute myeloid leukemia.
    Tong X; Zhou F
    Front Immunol; 2023; 14():1120670. PubMed ID: 37138869
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of m6A-Related lncRNAs Associated With Prognoses and Immune Responses in Acute Myeloid Leukemia.
    Li D; Liang J; Cheng C; Guo W; Li S; Song W; Song Z; Bai Y; Zhang Y; Wu X; Zhang W
    Front Cell Dev Biol; 2021; 9():770451. PubMed ID: 34869365
    [No Abstract]   [Full Text] [Related]  

  • 7. Construction of a Pyroptosis-Related Signature for Prognostic Prediction and Characterization of Immune Microenvironment in Acute Myelogenous Leukemia.
    Liu S; Luo D; Luo J; Liang H; Zhi Y; Wang D; Xu N
    Int J Gen Med; 2022; 15():2913-2927. PubMed ID: 35308573
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Establishment and validation of a carbohydrate metabolism-related gene signature for prognostic model and immune response in acute myeloid leukemia.
    Yang Y; Yang Y; Liu J; Zeng Y; Guo Q; Guo J; Guo L; Lu H; Liu W
    Front Immunol; 2022; 13():1038570. PubMed ID: 36544784
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prognosis and Characterization of Immune Microenvironment in Acute Myeloid Leukemia Through Identification of an Autophagy-Related Signature.
    Fu D; Zhang B; Wu S; Zhang Y; Xie J; Ning W; Jiang H
    Front Immunol; 2021; 12():695865. PubMed ID: 34135913
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of a Mitochondria-Related Gene Signature to Predict the Prognosis in AML.
    Jiang N; Zhang X; Chen Q; Kantawong F; Wan S; Liu J; Li H; Zhou J; Lu B; Wu J
    Front Oncol; 2022; 12():823831. PubMed ID: 35359394
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Systematic Analysis of Autophagy-Related Signature Uncovers Prognostic Predictor for Acute Myeloid Leukemia.
    Chen XX; Li ZP; Zhu JH; Xia HT; Zhou H
    DNA Cell Biol; 2020 Sep; 39(9):1595-1605. PubMed ID: 32783661
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A novel fatty acid metabolism-related signature identifies features of the tumor microenvironment and predicts clinical outcome in acute myeloid leukemia.
    Zhang HB; Sun ZK; Zhong FM; Yao FY; Liu J; Zhang J; Zhang N; Lin J; Li SQ; Li MY; Jiang JY; Cheng Y; Xu S; Cheng XX; Huang B; Wang XZ
    Lipids Health Dis; 2022 Aug; 21(1):79. PubMed ID: 36002858
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Immune-related gene signature predicts clinical outcomes and immunotherapy response in acute myeloid leukemia.
    Xu Q; Cao D; Fang B; Yan S; Hu Y; Guo T
    Cancer Med; 2022 Sep; 11(17):3364-3380. PubMed ID: 35355427
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification and analysis of methylation signature genes and association with immune infiltration in pediatric acute myeloid leukemia.
    Zhu H; Xu Y; Xia J; Guo X; Fang Y; Fan J; Li F; Wu J; Zheng G; Liu Y
    J Cancer Res Clin Oncol; 2023 Nov; 149(16):14965-14982. PubMed ID: 37606761
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Development and Validation of an Individualized Metabolism-Related Prognostic Model for Adult Acute Myeloid Leukemia Patients.
    Wei C; Ding L; Luo Q; Li X; Zeng X; Kong D; Yu X; Feng J; Ye Y; Wang L; Huang H
    Front Oncol; 2022; 12():829007. PubMed ID: 35785164
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Construction and validation of an NAD + metabolism-related lncRNA signature for predicting the prognosis and immune landscape of acute myeloid leukemia.
    Zhu Y; Jian J; Niu Y; Yang X; Guo Y; Zhao L; Liu B
    Hematology; 2023 Dec; 28(1):2231760. PubMed ID: 37417449
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A novel 4-mRNA signature predicts the overall survival in acute myeloid leukemia.
    Chen Z; Song J; Wang W; Bai J; Zhang Y; Shi J; Bai J; Zhou Y
    Am J Hematol; 2021 Nov; 96(11):1385-1395. PubMed ID: 34339537
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Novel Fatty Acid Metabolism-Associated Risk Model for Prognosis Prediction in Acute Myeloid Leukaemia.
    Wang N; Bai X; Wang X; Wang D; Ma G; Zhang F; Ye J; Lu F; Ji C
    Curr Oncol; 2023 Feb; 30(2):2524-2542. PubMed ID: 36826154
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Development and validation of a novel lipid metabolism-related gene prognostic signature and candidate drugs for patients with bladder cancer.
    Zhu K; Xiaoqiang L; Deng W; Wang G; Fu B
    Lipids Health Dis; 2021 Oct; 20(1):146. PubMed ID: 34706720
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Construction and validation of a fatty acid metabolism risk signature for predicting prognosis in acute myeloid leukemia.
    Chen M; Tao Y; Yue P; Guo F; Yan X
    BMC Genom Data; 2022 Dec; 23(1):85. PubMed ID: 36550404
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.