BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

371 related articles for article (PubMed ID: 37502362)

  • 1. Prognostic model for hepatocellular carcinoma based on anoikis-related genes: immune landscape analysis and prediction of drug sensitivity.
    Zhang D; Liu S; Wu Q; Ma Y; Zhou S; Liu Z; Sun W; Lu Z
    Front Med (Lausanne); 2023; 10():1232814. PubMed ID: 37502362
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Anoikis patterns exhibit distinct prognostic and immune landscapes in Osteosarcoma.
    Zhang Z; Zhu Z; Fu J; Liu X; Mi Z; Tao H; Fan H
    Int Immunopharmacol; 2023 Feb; 115():109684. PubMed ID: 36630752
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An anoikis-based signature for predicting prognosis in hepatocellular carcinoma with machine learning.
    Guizhen Z; Weiwei Z; Yun W; Guangying C; Yize Z; Zujiang Y
    Front Pharmacol; 2022; 13():1096472. PubMed ID: 36686684
    [No Abstract]   [Full Text] [Related]  

  • 4. Identification and validation of SLCO4C1 as a biological marker in hepatocellular carcinoma based on anoikis classification features.
    Wang T; Guo K; Yang S; Zhang D; Cui H; Yin J; Yuan S; Wang Y; Qi Y; Wu W
    Aging (Albany NY); 2024 Jan; 16(2):1440-1462. PubMed ID: 38226966
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Comprehensive analysis of immune-related gene signature based on ssGSEA algorithms in the prognosis and immune landscape of hepatocellular carcinoma.
    Wang L; Wang L; He P
    Front Genet; 2022; 13():1064432. PubMed ID: 36568383
    [No Abstract]   [Full Text] [Related]  

  • 6. Identification and Validation of the Anoikis-Related Gene Signature as a Novel Prognostic Model for Cervical Squamous Cell Carcinoma, Endocervical Adenocarcinoma, and Revelation Immune Infiltration.
    Jin QQ; Mei J; Hong L; Wang R; Wu SY; Wang SL; Jiang XY; Yang YT; Yao H; Zhang WY; Zhu YT; Ying J; Tian L; Chen G; Zhou SG
    Medicina (Kaunas); 2023 Feb; 59(2):. PubMed ID: 36837559
    [No Abstract]   [Full Text] [Related]  

  • 7. A novel signature incorporating lipid metabolism- and immune-related genes to predict the prognosis and immune landscape in hepatocellular carcinoma.
    Yang T; Luo Y; Liu J; Liu F; Ma Z; Liu G; Li H; Wen J; Chen C; Zeng X
    Front Oncol; 2023; 13():1182434. PubMed ID: 37346073
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A novel anoikis-related gene signature can predict the prognosis of hepatocarcinoma patients.
    Yu X; Feng B; Wu J; Li M
    Transl Cancer Res; 2024 Apr; 13(4):1834-1847. PubMed ID: 38737687
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification and validation of a tyrosine metabolism-related prognostic prediction model and characterization of the tumor microenvironment infiltration in hepatocellular carcinoma.
    Zhou Y; Li X; Long G; Tao Y; Zhou L; Tang J
    Front Immunol; 2022; 13():994259. PubMed ID: 36341373
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of anoikis related subtypes and construction of prognostic model in hepatocellular carcinoma.
    Fang W; Chen Z
    Cell Mol Biol (Noisy-le-grand); 2023 Sep; 69(9):219-228. PubMed ID: 37807308
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An anoikis-related gene signature predicts prognosis and reveals immune infiltration in hepatocellular carcinoma.
    Chen Y; Lin QX; Xu YT; Qian FJ; Lin CJ; Zhao WY; Huang JR; Tian L; Gu DN
    Front Oncol; 2023; 13():1158605. PubMed ID: 37182175
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A novel anoikis-related gene signature predicts prognosis in patients with breast cancer and reveals immune infiltration.
    Tang C; Qin L; Li J
    Medicine (Baltimore); 2023 Oct; 102(43):e35732. PubMed ID: 37904416
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The multi-omics analysis identifies a novel cuproptosis-anoikis-related gene signature in prognosis and immune infiltration characterization of lung adenocarcinoma.
    Jiang G; Song C; Wang X; Xu Y; Li H; He Z; Cai Y; Zheng M; Mao W
    Heliyon; 2023 Mar; 9(3):e14091. PubMed ID: 36967927
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Development and validation of multi-omic prognostic signature of anoikis-related genes in liver hepatocellular carcinoma.
    Ding D; Wang D; Qin Y
    Medicine (Baltimore); 2023 Nov; 102(46):e36190. PubMed ID: 37986299
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prognostic signatures of sphingolipids: Understanding the immune landscape and predictive role in immunotherapy response and outcomes of hepatocellular carcinoma.
    Zhang X; Zhuge J; Liu J; Xia Z; Wang H; Gao Q; Jiang H; Qu Y; Fan L; Ma J; Tan C; Luo W; Luo Y
    Front Immunol; 2023; 14():1153423. PubMed ID: 37006285
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of a six-gene signature predicting overall survival for hepatocellular carcinoma.
    Liu GM; Zeng HD; Zhang CY; Xu JW
    Cancer Cell Int; 2019; 19():138. PubMed ID: 31139015
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Development of a prognostic signature based on anoikis-related genes in hepatocellular carcinoma with the utilization of LASSO-cox method.
    Yu Z; Shi FE; Mao Y; Song A; He L; Gao M; Wei H; Xiao F; Wei H
    Medicine (Baltimore); 2023 Jul; 102(29):e34367. PubMed ID: 37478222
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of Anoikis-Related Subgroups and Prognosis Model in Liver Hepatocellular Carcinoma.
    Chen Y; Huang W; Ouyang J; Wang J; Xie Z
    Int J Mol Sci; 2023 Feb; 24(3):. PubMed ID: 36769187
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Development of a prognostic model based on anoikis-related genes for predicting clinical prognosis and immunotherapy of hepatocellular carcinoma.
    Pang M; Sun X; He T; Liang H; Yang H; Chen J
    Aging (Albany NY); 2023 Oct; 15(19):10253-10271. PubMed ID: 37787988
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 19.