BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

781 related articles for article (PubMed ID: 33602168)

  • 1. Mining prognostic markers of Asian hepatocellular carcinoma patients based on the apoptosis-related genes.
    Yan J; Cao J; Chen Z
    BMC Cancer; 2021 Feb; 21(1):175. PubMed ID: 33602168
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification and Validation of a Prognostic Model Based on Three Autophagy-Related Genes in Hepatocellular Carcinoma.
    Qin F; Zhang J; Gong J; Zhang W
    Biomed Res Int; 2021; 2021():5564040. PubMed ID: 33778066
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A prognostic model for hepatocellular carcinoma based on apoptosis-related genes.
    Liu R; Wang G; Zhang C; Bai D
    World J Surg Oncol; 2021 Mar; 19(1):70. PubMed ID: 33712023
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Seven-senescence-associated gene signature predicts overall survival for Asian patients with hepatocellular carcinoma.
    Xiang XH; Yang L; Zhang X; Ma XH; Miao RC; Gu JX; Fu YN; Yao Q; Zhang JY; Liu C; Lin T; Qu K
    World J Gastroenterol; 2019 Apr; 25(14):1715-1728. PubMed ID: 31011256
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Construction of a prognostic model for hepatocellular carcinoma based on pyroptosis-related genes].
    Rong HC; Zhao WF; Zheng N; Guo ZH; Wang YW; Huang XP
    Zhonghua Gan Zang Bing Za Zhi; 2023 May; 31(5):509-517. PubMed ID: 37365028
    [No Abstract]   [Full Text] [Related]  

  • 7. Combination of ferroptosis and pyroptosis to construct a prognostic classifier and predict immune landscape, chemotherapeutic efficacy and immunosuppressive molecules in hepatocellular carcinoma.
    Xu L; Zheng Q; Liu W
    BMC Cancer; 2022 Mar; 22(1):229. PubMed ID: 35236323
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Construction and Validation of a Prognostic Gene-Based Model for Overall Survival Prediction in Hepatocellular Carcinoma Using an Integrated Statistical and Bioinformatic Approach.
    Dessie EY; Tu SJ; Chiang HS; Tsai JJP; Chang YS; Chang JG; Ng KL
    Int J Mol Sci; 2021 Feb; 22(4):. PubMed ID: 33562824
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A novel five-gene signature predicts overall survival of patients with hepatocellular carcinoma.
    Wang Z; Pan L; Guo D; Luo X; Tang J; Yang W; Zhang Y; Luo A; Gu Y; Pan Y
    Cancer Med; 2021 Jun; 10(11):3808-3821. PubMed ID: 33934539
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of a Liver Progenitor Cell-Related Genes Signature Predicting Overall Survival for Hepatocellular Carcinoma.
    Li X; Lin J; Pan Y; Cui P; Xia J
    Technol Cancer Res Treat; 2021; 20():15330338211041425. PubMed ID: 34866477
    [No Abstract]   [Full Text] [Related]  

  • 11. Identification of an RNA binding protein-related gene signature in hepatocellular carcinoma patients.
    Wang L; Zhou N; Qu J; Jiang M; Zhang X
    Mol Med; 2020 Dec; 26(1):125. PubMed ID: 33297932
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Identification of Prognostic Genes in the Tumor Microenvironment of Hepatocellular Carcinoma.
    Xiang S; Li J; Shen J; Zhao Y; Wu X; Li M; Yang X; Kaboli PJ; Du F; Zheng Y; Wen Q; Cho CH; Yi T; Xiao Z
    Front Immunol; 2021; 12():653836. PubMed ID: 33897701
    [No Abstract]   [Full Text] [Related]  

  • 14. Identification of immune infiltration-related genes as prognostic indicators for hepatocellular carcinoma.
    Dai K; Liu C; Guan G; Cai J; Wu L
    BMC Cancer; 2022 May; 22(1):496. PubMed ID: 35513781
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Diagnostic and prognostic values of pyroptosis-related genes for the hepatocellular carcinoma.
    Xing M; Li J
    BMC Bioinformatics; 2022 May; 23(1):177. PubMed ID: 35562678
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comprehensive analysis of an autophagy-related prognostic model for predicting survival based on TCGA and ICGC database in hepatocellular carcinoma patients.
    An LN; Du L; Wang LL; Chen J; Wang XR; Duan JP
    J Gastrointest Oncol; 2022 Dec; 13(6):3154-3168. PubMed ID: 36636069
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Normal tissue adjacent to tumor expression profile analysis developed and validated a prognostic model based on Hippo-related genes in hepatocellular carcinoma.
    Pan Q; Qin F; Yuan H; He B; Yang N; Zhang Y; Ren H; Zeng Y
    Cancer Med; 2021 May; 10(9):3139-3152. PubMed ID: 33818013
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Weighted correlation gene network analysis reveals a new stemness index-related survival model for prognostic prediction in hepatocellular carcinoma.
    Zhang Q; Wang J; Liu M; Zhu Q; Li Q; Xie C; Han C; Wang Y; Gao M; Liu J
    Aging (Albany NY); 2020 Jul; 12(13):13502-13517. PubMed ID: 32644941
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Construction and validation of a prognostic model based on autophagy-related genes for hepatocellular carcinoma in the Asian population.
    Wang Y; Huang S; Zhang Y; Cheng Y; Dai L; Gao W; Feng Z; Tao J; Zhang Y
    BMC Genomics; 2023 Jun; 24(1):357. PubMed ID: 37370041
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 40.