BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

131 related articles for article (PubMed ID: 37154991)

  • 1. Centrosome amplification-related signature correlated with immune microenvironment and treatment response predicts prognosis and improves diagnosis of hepatocellular carcinoma by integrating machine learning and single-cell analyses.
    Liu Y; He M; Ke X; Chen Y; Zhu J; Tan Z; Chen J
    Hepatol Int; 2024 Feb; 18(1):108-130. PubMed ID: 37154991
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Construction and validation of a novel lysosomal signature for hepatocellular carcinoma prognosis, diagnosis, and therapeutic decision-making.
    Chen J; Gao G; He Y; Zhang Y; Wu H; Dai P; Zheng Q; Huang H; Weng J; Zheng Y; Huang Y
    Sci Rep; 2023 Dec; 13(1):22624. PubMed ID: 38114725
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Characterizing the key genes of COVID-19 that regulate tumor immune microenvironment and prognosis in hepatocellular carcinoma.
    Gao S; Zhang L; Wang H
    Funct Integr Genomics; 2023 Aug; 23(3):262. PubMed ID: 37540264
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Mitochondrial-Related Transcriptome Feature Correlates with Prognosis, Vascular Invasion, Tumor Microenvironment, and Treatment Response in Hepatocellular Carcinoma.
    Wang Y; Song F; Zhang X; Yang C
    Oxid Med Cell Longev; 2022; 2022():1592905. PubMed ID: 35535359
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Overweight/obesity-related transcriptomic signature as a correlate of clinical outcome, immune microenvironment, and treatment response in hepatocellular carcinoma.
    Feng NN; Du XY; Zhang YS; Jiao ZK; Wu XH; Yang BM
    Front Endocrinol (Lausanne); 2022; 13():1061091. PubMed ID: 36714595
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Signature construction and molecular subtype identification based on cuproptosis-related genes to predict the prognosis and immune activity of patients with hepatocellular carcinoma.
    Peng X; Zhu J; Liu S; Luo C; Wu X; Liu Z; Li Y; Yuan R
    Front Immunol; 2022; 13():990790. PubMed ID: 36248822
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comprehensive analysis of the amino acid metabolism-related gene signature for prognosis, tumor immune microenvironment, and candidate drugs in hepatocellular carcinoma.
    Li Y; Mo H; Jia S; Wang J; Ma Y; Liu X; Tu K
    Front Immunol; 2022; 13():1066773. PubMed ID: 36582227
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Construction and validation of an angiogenesis-related scoring model to predict prognosis, tumor immune microenvironment and therapeutic response in hepatocellular carcinoma.
    Tang B; Zhang X; Yang X; Wang W; Li R; Liu Y
    Front Immunol; 2022; 13():1013248. PubMed ID: 36466855
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Cuproptosis-Related Signature Predicts the Prognosis, Tumor Microenvironment, and Drug Sensitivity of Hepatocellular Carcinoma.
    Qi X; Guo J; Chen G; Fang C; Hu L; Li J; Zhang C
    J Immunol Res; 2022; 2022():3393027. PubMed ID: 36438201
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Exploration and validation of a combined Hypoxia and m6A/m5C/m1A regulated gene signature for prognosis prediction of liver cancer.
    Ren M; Fan B; Cao G; Zong R; Feng L; Sun H
    BMC Genomics; 2023 Dec; 24(1):776. PubMed ID: 38097948
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Bioinformatics Analysis of Prognostic Tumor Microenvironment-Related Genes in the Tumor Microenvironment of Hepatocellular Carcinoma.
    Tian Z; Wang Z; Chen Y; Qu S; Liu C; Chen F; Ma L; Zhu J
    Med Sci Monit; 2020 Mar; 26():e922159. PubMed ID: 32231177
    [TBL] [Abstract][Full Text] [Related]  

  • 12. T-cell exhaustion signatures characterize the immune landscape and predict HCC prognosis
    Chi H; Zhao S; Yang J; Gao X; Peng G; Zhang J; Xie X; Song G; Xu K; Xia Z; Chen S; Zhao J
    Front Immunol; 2023; 14():1137025. PubMed ID: 37006257
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Construction of a hepatocytes-related and protein kinase-related gene signature in HCC based on ScRNA-Seq analysis and machine learning algorithm.
    Zhang Z; Mou L; Pu Z; Zhuang X
    J Physiol Biochem; 2023 Nov; 79(4):771-785. PubMed ID: 37458958
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A comprehensive study based on exosome-related immunosuppression genes and tumor microenvironment in hepatocellular carcinoma.
    Yang Z; Li X; Pan C; Li Y; Lin L; Jin Y; Zheng J; Yu Z
    BMC Cancer; 2022 Dec; 22(1):1344. PubMed ID: 36550445
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Construction and systematic evaluation of a machine learning-based cuproptosis-related lncRNA score signature to predict the response to immunotherapy in hepatocellular carcinoma.
    Lu D; Liao J; Cheng H; Ma Q; Wu F; Xie F; He Y
    Front Immunol; 2023; 14():1097075. PubMed ID: 36761763
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification and Validation of a Novel Six-Gene Expression Signature for Predicting Hepatocellular Carcinoma Prognosis.
    Yan Z; He M; He L; Wei L; Zhang Y
    Front Immunol; 2021; 12():723271. PubMed ID: 34925311
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A hypoxia-related signature for clinically predicting diagnosis, prognosis and immune microenvironment of hepatocellular carcinoma patients.
    Zhang B; Tang B; Gao J; Li J; Kong L; Qin L
    J Transl Med; 2020 Sep; 18(1):342. PubMed ID: 32887635
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Development and validation of a novel prognostic signature based on m6A/m5C/m1A-related genes in hepatocellular carcinoma.
    Xiao Y; Li J; Wu J
    BMC Med Genomics; 2023 Jul; 16(1):177. PubMed ID: 37525171
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of chromatin organization-related gene signature for hepatocellular carcinoma prognosis and predicting immunotherapy response.
    Chen J; Chen X; Li T; Wang L; Lin G
    Int Immunopharmacol; 2022 Aug; 109():108866. PubMed ID: 35691273
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The identification of N6-methyladenosine-related miRNAs predictive of hepatocellular carcinoma prognosis and immunotherapy efficacy.
    Zou R; Liu Y; Qiu S; Lu Y; Chen Y; Yu H; Zhu H; Zhu W; Zhu L; Feng J; Han J
    Cancer Biomark; 2023; 38(4):551-566. PubMed ID: 38007640
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.