These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

470 related articles for article (PubMed ID: 33221751)

  • 1. Development and validation of a nomogram with an epigenetic signature for predicting survival in patients with lung adenocarcinoma.
    Wang J; He L; Tang Y; Li D; Yang Y; Zeng Z
    Aging (Albany NY); 2020 Nov; 12(22):23200-23216. PubMed ID: 33221751
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of a methylomics-associated nomogram for predicting overall survival of stage I-II lung adenocarcinoma.
    Wang H; Wei C; Pan P; Yuan F; Cheng J
    Sci Rep; 2021 May; 11(1):9938. PubMed ID: 33976305
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Seven-Gene Signature with Close Immune Correlation Was Identified for Survival Prediction of Lung Adenocarcinoma.
    Zou X; Hu Z; Huang C; Chang J
    Med Sci Monit; 2020 Jul; 26():e924269. PubMed ID: 32613949
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Development and validation of a novel epigenetic-related prognostic signature and candidate drugs for patients with lung adenocarcinoma.
    Wang Z; Embaye KS; Yang Q; Qin L; Zhang C; Liu L; Zhan X; Zhang F; Wang X; Qin S
    Aging (Albany NY); 2021 Jul; 13(14):18701-18717. PubMed ID: 34285141
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Clinical Significance and Immunologic Landscape of a Five-IL(R)-Based Signature in Lung Adenocarcinoma.
    Fan T; Pan S; Yang S; Hao B; Zhang L; Li D; Geng Q
    Front Immunol; 2021; 12():693062. PubMed ID: 34497605
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. A large cohort study identifying a novel prognosis prediction model for lung adenocarcinoma through machine learning strategies.
    Li Y; Ge D; Gu J; Xu F; Zhu Q; Lu C
    BMC Cancer; 2019 Sep; 19(1):886. PubMed ID: 31488089
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Profiles of immune infiltration in lung adenocarcinoma and their clinical significant: A gene-expression-based retrospective study.
    Chen G; Dong Z; Wu D; Chen Y
    J Cell Biochem; 2020 Nov; 121(11):4431-4439. PubMed ID: 32003059
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Development and validation of a robust immune-related prognostic signature in early-stage lung adenocarcinoma.
    Wu P; Zheng Y; Wang Y; Wang Y; Liang N
    J Transl Med; 2020 Oct; 18(1):380. PubMed ID: 33028329
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Establishment and validation of an immune-associated signature in lung adenocarcinoma.
    Wang Z; Chen X
    Int Immunopharmacol; 2020 Nov; 88():106867. PubMed ID: 32799112
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A ferroptosis-related gene signature predicts overall survival in patients with lung adenocarcinoma.
    Gao X; Tang M; Tian S; Li J; Liu W
    Future Oncol; 2021 Apr; 17(12):1533-1544. PubMed ID: 33432837
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Significance of novel PANoptosis genes to predict prognosis and therapy effect in the lung adenocarcinoma.
    Miao Z; Yu W
    Sci Rep; 2024 Sep; 14(1):20934. PubMed ID: 39251701
    [TBL] [Abstract][Full Text] [Related]  

  • 13. DNA methylation profiling to predict recurrence risk in stage Ι lung adenocarcinoma: Development and validation of a nomogram to clinical management.
    Ma X; Cheng J; Zhao P; Li L; Tao K; Chen H
    J Cell Mol Med; 2020 Jul; 24(13):7576-7589. PubMed ID: 32530136
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Construction and Validation of Prognostic Risk Score Model of Autophagy Related Genes in Lung Adenocarcinoma].
    Zhou J; Wang X; Li Z; Jiang R
    Zhongguo Fei Ai Za Zhi; 2021 Aug; 24(8):557-566. PubMed ID: 34256900
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Systematic construction and validation of an epithelial-mesenchymal transition risk model to predict prognosis of lung adenocarcinoma.
    Tang Y; Jiang Y; Qing C; Wang J; Zeng Z
    Aging (Albany NY); 2020 Dec; 13(1):794-812. PubMed ID: 33340396
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of a four-gene panel predicting overall survival for lung adenocarcinoma.
    Li C; Long Q; Zhang D; Li J; Zhang X
    BMC Cancer; 2020 Dec; 20(1):1198. PubMed ID: 33287749
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prognostic signature of lung adenocarcinoma based on stem cell-related genes.
    Huang Z; Shi M; Zhou H; Wang J; Zhang HJ; Shi J-
    Sci Rep; 2021 Jan; 11(1):1687. PubMed ID: 33462260
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A methylation-based nomogram for predicting survival in patients with lung adenocarcinoma.
    Wang X; Zhou B; Xia Y; Zuo J; Liu Y; Bi X; Luo X; Zhang C
    BMC Cancer; 2021 Jul; 21(1):801. PubMed ID: 34247575
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A gene-based survival score for lung adenocarcinoma by multiple transcriptional datasets analysis.
    Xiong Y; Lei J; Zhao J; Lu Q; Feng Y; Qiao T; Xin S; Han Y; Jiang T
    BMC Cancer; 2020 Oct; 20(1):1046. PubMed ID: 33129284
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A ten-gene signature-based risk assessment model predicts the prognosis of lung adenocarcinoma.
    Jiang H; Xu S; Chen C
    BMC Cancer; 2020 Aug; 20(1):782. PubMed ID: 32819300
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 24.