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 *

324 related articles for article (PubMed ID: 32805489)

  • 21. DNA methylation profiling analysis identifies a DNA methylation signature for predicting prognosis and recurrence of lung adenocarcinoma.
    Wang R; Zhu H; Yang M; Zhu C
    Oncol Lett; 2019 Dec; 18(6):5831-5842. PubMed ID: 31788056
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Identification of an immune signature predicting prognosis risk of patients in lung adenocarcinoma.
    Song Q; Shang J; Yang Z; Zhang L; Zhang C; Chen J; Wu X
    J Transl Med; 2019 Mar; 17(1):70. PubMed ID: 30832680
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. A Novel Prognostic Model of Early-Stage Lung Adenocarcinoma Integrating Methylation and Immune Biomarkers.
    Ren J; Yang Y; Li C; Xie L; Hu R; Qin X; Zhang M
    Front Genet; 2020; 11():634634. PubMed ID: 33552145
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Multi-Omics Data Analyses Construct a Six Immune-Related Genes Prognostic Model for Cervical Cancer in Tumor Microenvironment.
    Xu F; Shen J; Xu S
    Front Genet; 2021; 12():663617. PubMed ID: 34108992
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Large-scale gene expression analysis reveals robust gene signatures for prognosis prediction in lung adenocarcinoma.
    Songyang Y; Zhu W; Liu C; Li LL; Hu W; Zhou Q; Zhang H; Li W; Li D
    PeerJ; 2019; 7():e6980. PubMed ID: 31198635
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Systematic identification of lincRNA-based prognostic biomarkers by integrating lincRNA expression and copy number variation in lung adenocarcinoma.
    Wang L; Zhao H; Xu Y; Li J; Deng C; Deng Y; Bai J; Li X; Xiao Y; Zhang Y
    Int J Cancer; 2019 Apr; 144(7):1723-1734. PubMed ID: 30226269
    [TBL] [Abstract][Full Text] [Related]  

  • 28. 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]  

  • 29. Systematical identifications of prognostic meaningful lung adenocarcinoma subtypes and the underlying mutational and expressional characters.
    Lv Z; Lei T
    BMC Cancer; 2020 Jan; 20(1):56. PubMed ID: 31987030
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Combining Genetic Mutation and Expression Profiles Identifies Novel Prognostic Biomarkers of Lung Adenocarcinoma.
    Liu Y; Liu F; Hu X; He J; Jiang Y
    Clin Med Insights Oncol; 2020; 14():1179554920966260. PubMed ID: 35153523
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Aberrant S100A16 expression might be an independent prognostic indicator of unfavorable survival in non-small cell lung adenocarcinoma.
    Chen D; Luo L; Liang C
    PLoS One; 2018; 13(5):e0197402. PubMed ID: 29746588
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Identification of a long non-coding RNA signature for predicting prognosis and biomarkers in lung adenocarcinoma.
    Yu X; Zhang Y
    Oncol Lett; 2020 Apr; 19(4):2793-2800. PubMed ID: 32218832
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. High ECT2 expression is an independent prognostic factor for poor overall survival and recurrence-free survival in non-small cell lung adenocarcinoma.
    Zhou S; Wang P; Su X; Chen J; Chen H; Yang H; Fang A; Xie L; Yao Y; Yang J
    PLoS One; 2017; 12(10):e0187356. PubMed ID: 29088286
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Overexpression of KIF18A promotes cell proliferation, inhibits apoptosis, and independently predicts unfavorable prognosis in lung adenocarcinoma.
    Zhong Y; Jiang L; Lin H; Li X; Long X; Zhou Y; Li B; Li Z
    IUBMB Life; 2019 Jul; 71(7):942-955. PubMed ID: 30817091
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Genome‑wide investigation of the clinical significance and prospective molecular mechanisms of kinesin family member genes in patients with lung adenocarcinoma.
    Zhang L; Zhu G; Wang X; Liao X; Huang R; Huang C; Huang P; Zhang J; Wang P
    Oncol Rep; 2019 Sep; 42(3):1017-1034. PubMed ID: 31322267
    [TBL] [Abstract][Full Text] [Related]  

  • 37. TP53 Status, Patient Sex, and the Immune Response as Determinants of Lung Cancer Patient Survival.
    Freudenstein D; Litchfield C; Caramia F; Wright G; Solomon BJ; Ball D; Keam SP; Neeson P; Haupt Y; Haupt S
    Cancers (Basel); 2020 Jun; 12(6):. PubMed ID: 32545367
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Identification of a novel glycolysis-related gene signature that can predict the survival of patients with lung adenocarcinoma.
    Liu C; Li Y; Wei M; Zhao L; Yu Y; Li G
    Cell Cycle; 2019 Mar; 18(5):568-579. PubMed ID: 30727821
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Elevated Expression of
    Hu P; Huang Y; Gao Y; Yan H; Li X; Zhang J; Wang Y; Zhao Y
    DNA Cell Biol; 2020 Apr; 39(4):522-532. PubMed ID: 32040344
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Incorporating deep learning and multi-omics autoencoding for analysis of lung adenocarcinoma prognostication.
    Lee TY; Huang KY; Chuang CH; Lee CY; Chang TH
    Comput Biol Chem; 2020 May; 87():107277. PubMed ID: 32512487
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 17.