BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

203 related articles for article (PubMed ID: 33021972)

  • 1. Creation of a Prognostic Risk Prediction Model for Lung Adenocarcinoma Based on Gene Expression, Methylation, and Clinical Characteristics.
    Ke H; Wu Y; Wang R; Wu X
    Med Sci Monit; 2020 Oct; 26():e925833. PubMed ID: 33021972
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Prognostic 14-Gene Expression Signature for Lung Adenocarcinoma: A Study Based on TCGA Data Mining.
    Liu J; Hou S; Wang J; Chai Z; Hong X; Zhao T; Sun Z; Bai L; Gao H; Gao J; Chen G
    Oxid Med Cell Longev; 2020; 2020():8847226. PubMed ID: 33414898
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Screening of Methylation Gene Sites as Prognostic Signature in Lung Adenocarcinoma.
    Dong M; Yang Z; Li X; Zhang Z; Yin A
    Yonsei Med J; 2020 Dec; 61(12):1013-1023. PubMed ID: 33251775
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Identification of four methylation-driven genes as candidate biomarkers for monitoring single-walled carbon nanotube-induced malignant transformation of the lung.
    Xie D; Luo X
    Toxicol Appl Pharmacol; 2021 Feb; 412():115391. PubMed ID: 33387576
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Predicting the Lung Squamous Cell Carcinoma Diagnosis and Prognosis Markers by Unique DNA Methylation and Gene Expression Profiles.
    Wang W; Wang S; Chu X; Liu H; Xiang M
    J Comput Biol; 2020 Jul; 27(7):1041-1054. PubMed ID: 31710242
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Construction of the optimization prognostic model based on differentially expressed immune genes of lung adenocarcinoma.
    Zhai Y; Zhao B; Wang Y; Li L; Li J; Li X; Chang L; Chen Q; Liao Z
    BMC Cancer; 2021 Mar; 21(1):213. PubMed ID: 33648465
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification of diagnostic DNA methylation biomarkers specific for early-stage lung adenocarcinoma.
    Cai Q; Zhang P; He B; Zhao Z; Zhang Y; Peng X; Xie H; Wang X
    Cancer Genet; 2020 Aug; 246-247():1-11. PubMed ID: 32805686
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Construction of prognostic risk prediction model of oral squamous cell carcinoma based on co-methylated genes.
    Zhu Q; Tian G; Gao J
    Int J Mol Med; 2019 Sep; 44(3):787-796. PubMed ID: 31198983
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Construction of Novel DNA Methylation-Based Prognostic Model to Predict Survival in Glioblastoma.
    Zhao J; Wang L; Kong D; Hu G; Wei B
    J Comput Biol; 2020 May; 27(5):718-728. PubMed ID: 31460783
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Genetic analyses of differences between solid and nonsolid predominant lung adenocarcinomas.
    Luo J; Ma K; Shi Y; Chen Z; Zhao M; Huang Y; Wang S; Xi J; Zhan C; Xu S; Wang Q
    Thorac Cancer; 2018 Dec; 9(12):1656-1663. PubMed ID: 30276966
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Comprehensive Analysis of Candidate Diagnostic and Prognostic Biomarkers Associated with Lung Adenocarcinoma.
    Li J; Liu X; Cui Z; Han G
    Med Sci Monit; 2020 Jun; 26():e922070. PubMed ID: 32578582
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Six-Gene Signature Predicts Survival of Adenocarcinoma Type of Non-Small-Cell Lung Cancer Patients: A Comprehensive Study Based on Integrated Analysis and Weighted Gene Coexpression Network.
    Xie H; Xie C
    Biomed Res Int; 2019; 2019():4250613. PubMed ID: 31886214
    [No Abstract]   [Full Text] [Related]  

  • 16. Bioinformatic analysis revealing mitotic spindle assembly regulated NDC80 and MAD2L1 as prognostic biomarkers in non-small cell lung cancer development.
    Wei R; Wang Z; Zhang Y; Wang B; Shen N; E L; Li X; Shang L; Shang Y; Yan W; Zhang X; Ma W; Wang C
    BMC Med Genomics; 2020 Aug; 13(1):112. PubMed ID: 32795325
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Development of a gene signature associated with iron metabolism in lung adenocarcinoma.
    Qin J; Xu Z; Deng K; Qin F; Wei J; Yuan L; Sun Y; Zheng T; Li S
    Bioengineered; 2021 Dec; 12(1):4556-4568. PubMed ID: 34323652
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Methylation and transcriptome analysis reveal lung adenocarcinoma-specific diagnostic biomarkers.
    Li R; Yang YE; Yin YH; Zhang MY; Li H; Qu YQ
    J Transl Med; 2019 Sep; 17(1):324. PubMed ID: 31558162
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Predicting the Clinical Outcome of Lung Adenocarcinoma Using a Novel Gene Pair Signature Related to RNA-Binding Protein.
    Meng L; He X; Zhang X; Zhang X; Wei Y; Wu B; Li J; Xiao Y
    Biomed Res Int; 2020; 2020():8896511. PubMed ID: 33195699
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    Liu J; Han X; Chen L; Han D; Mu X; Hu X; Wu H; Wu H; Liu W; Zhao Y
    Aging (Albany NY); 2020 Oct; 12(20):20308-20331. PubMed ID: 33091876
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.