BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

212 related articles for article (PubMed ID: 38654239)

  • 1. A novel TCGA-validated programmed cell-death-related signature of ovarian cancer.
    Cai X; Lin J; Liu L; Zheng J; Liu Q; Ji L; Sun Y
    BMC Cancer; 2024 Apr; 24(1):515. PubMed ID: 38654239
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A novel tumor mutational burden-based risk model predicts prognosis and correlates with immune infiltration in ovarian cancer.
    Wang H; Liu J; Yang J; Wang Z; Zhang Z; Peng J; Wang Y; Hong L
    Front Immunol; 2022; 13():943389. PubMed ID: 36003381
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Construction of a novel mRNA-signature prediction model for prognosis of bladder cancer based on a statistical analysis.
    Li J; Cao J; Li P; Yao Z; Deng R; Ying L; Tian J
    BMC Cancer; 2021 Jul; 21(1):858. PubMed ID: 34315402
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Immunogenic cell death-related gene landscape predicts the overall survival and immune infiltration status of ovarian cancer.
    Zhang W; Liu T; Jiang L; Chen J; Li Q; Wang J
    Front Genet; 2022; 13():1001239. PubMed ID: 36425071
    [No Abstract]   [Full Text] [Related]  

  • 5. A prognostic model based on immune-related long noncoding RNAs for patients with epithelial ovarian cancer.
    Peng Y; Wang H; Huang Q; Wu J; Zhang M
    J Ovarian Res; 2022 Jan; 15(1):8. PubMed ID: 35031063
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Development of a necroptosis-related gene signature and the immune landscape in ovarian cancer.
    Nie S; Ni N; Chen N; Gong M; Feng E; Liu J; Liu Q
    J Ovarian Res; 2023 Apr; 16(1):82. PubMed ID: 37095524
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Combination of tumor mutation burden and immune infiltrates for the prognosis of lung adenocarcinoma.
    Zhao Z; He B; Cai Q; Zhang P; Peng X; Zhang Y; Xie H; Wang X
    Int Immunopharmacol; 2021 Sep; 98():107807. PubMed ID: 34175739
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multi-omics analysis of tumor mutational burden combined with prognostic assessment in epithelial ovarian cancer based on TCGA database.
    Liu J; Xu W; Li S; Sun R; Cheng W
    Int J Med Sci; 2020; 17(18):3200-3213. PubMed ID: 33173439
    [No Abstract]   [Full Text] [Related]  

  • 9. Identification of the prognostic value of ferroptosis-related gene signature in breast cancer patients.
    Wang D; Wei G; Ma J; Cheng S; Jia L; Song X; Zhang M; Ju M; Wang L; Zhao L; Xin S
    BMC Cancer; 2021 May; 21(1):645. PubMed ID: 34059009
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of prognostic biomarkers for cervical cancer based on programmed cell death-related genes and assessment of their immune profile and response to drug therapy.
    Feng S; Wang Z; Zhang H; Hou B; Xu Y; Hao S; Lu Y
    J Gene Med; 2024 Jan; 26(1):e3643. PubMed ID: 38044747
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Development and validation of a model based on immunogenic cell death related genes to predict the prognosis and immune response to bladder urothelial carcinoma.
    Chen L; Lin J; Wen Y; Chen Y; Chen CB
    Front Oncol; 2023; 13():1291720. PubMed ID: 38023241
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Assessing of programmed cell death gene signature for predicting ovarian cancer prognosis and treatment response.
    Lian X; Liu B; Wang C; Wang S; Zhuang Y; Li X
    Front Endocrinol (Lausanne); 2023; 14():1182776. PubMed ID: 37342266
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A nomogram model based on the number of examined lymph nodes-related signature to predict prognosis and guide clinical therapy in gastric cancer.
    Li H; Lin D; Yu Z; Li H; Zhao S; Hainisayimu T; Liu L; Wang K
    Front Immunol; 2022; 13():947802. PubMed ID: 36405735
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification of copper metabolism-related subtypes and establishment of the prognostic model in ovarian cancer.
    Zhao S; Zhang X; Gao F; Chi H; Zhang J; Xia Z; Cheng C; Liu J
    Front Endocrinol (Lausanne); 2023; 14():1145797. PubMed ID: 36950684
    [TBL] [Abstract][Full Text] [Related]  

  • 15. High expression of S100A2 predicts poor prognosis in patients with endometrial carcinoma.
    Zhang Q; Xia T; Qi C; Du J; Ye C
    BMC Cancer; 2022 Jan; 22(1):77. PubMed ID: 35042454
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Risk Score Signature Consisting of Six Immune Genes Predicts Overall Survival in Patients with Lower-Grade Gliomas.
    Wu Y; Peng Z; Gu S; Wang H; Xiang W
    Comput Math Methods Med; 2022; 2022():2558548. PubMed ID: 35186111
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification and validation of a seven m6A-related lncRNAs signature predicting prognosis of ovarian cancer.
    Song Y; Qu H
    BMC Cancer; 2022 Jun; 22(1):633. PubMed ID: 35676619
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of a glycolysis- and lactate-related gene signature for predicting prognosis, immune microenvironment, and drug candidates in colon adenocarcinoma.
    Liu C; Liu D; Wang F; Xie J; Liu Y; Wang H; Rong J; Xie J; Wang J; Zeng R; Zhou F; Peng J; Xie Y
    Front Cell Dev Biol; 2022; 10():971992. PubMed ID: 36081904
    [No Abstract]   [Full Text] [Related]  

  • 19. Integrated clinical characteristics and omics analysis identifies a ferroptosis and iron-metabolism-related lncRNA signature for predicting prognosis and therapeutic responses in ovarian cancer.
    Feng S; Yin H; Zhang K; Shan M; Ji X; Luo S; Shen Y
    J Ovarian Res; 2022 Jan; 15(1):10. PubMed ID: 35057848
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification and verification of a ten-gene signature predicting overall survival for ovarian cancer.
    Liu J; Xu F; Cheng W; Gao L
    Exp Cell Res; 2020 Oct; 395(2):112235. PubMed ID: 32805252
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.