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 *

531 related articles for article (PubMed ID: 30195659)

  • 1. Identification of target gene and prognostic evaluation for lung adenocarcinoma using gene expression meta-analysis, network analysis and neural network algorithms.
    Selvaraj G; Kaliamurthi S; Kaushik AC; Khan A; Wei YK; Cho WC; Gu K; Wei DQ
    J Biomed Inform; 2018 Oct; 86():120-134. PubMed ID: 30195659
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification and Integrated Analysis of Key Biomarkers for Diagnosis and Prognosis of Non-Small Cell Lung Cancer.
    Liu X; Liu X; Li J; Ren F
    Med Sci Monit; 2019 Dec; 25():9280-9289. PubMed ID: 31805030
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Microarray analysis of the expression profile of immune-related gene in rapid recurrence early-stage lung adenocarcinoma.
    Liu J; Yang X; Zhang L; Yang B; Rao W; Li M; Dai N; Yang Y; Qian C; Zhang L; Xiao H; Wang D
    J Cancer Res Clin Oncol; 2020 Sep; 146(9):2299-2310. PubMed ID: 32556504
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Comprehensive analysis of TPX2-related ceRNA network as prognostic biomarkers in lung adenocarcinoma.
    Huo C; Zhang MY; Li R; Zhou XJ; Liu TT; Li JP; Liu X; Qu YQ
    Int J Med Sci; 2020; 17(16):2427-2439. PubMed ID: 33029085
    [No Abstract]   [Full Text] [Related]  

  • 6. Analysis of genes associated with prognosis of lung adenocarcinoma based on GEO and TCGA databases.
    Yu Y; Tian X
    Medicine (Baltimore); 2020 May; 99(19):e20183. PubMed ID: 32384511
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Bioinformatics analysis and experimental validation of TTK as a biomarker for prognosis in non-small cell lung cancer.
    Chen J; Wu R; Xuan Y; Jiang M; Zeng Y
    Biosci Rep; 2020 Oct; 40(10):. PubMed ID: 32969465
    [TBL] [Abstract][Full Text] [Related]  

  • 9. High Expression of
    Deng H; Huang Y; Wang L; Chen M
    Biomed Res Int; 2020; 2020():2071593. PubMed ID: 33134373
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
    Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
    Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Target gene screening and evaluation of prognostic values in non-small cell lung cancers by bioinformatics analysis.
    Piao J; Sun J; Yang Y; Jin T; Chen L; Lin Z
    Gene; 2018 Mar; 647():306-311. PubMed ID: 29305979
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of lung adenocarcinoma biomarkers based on bioinformatic analysis and human samples.
    Dong S; Men W; Yang S; Xu S
    Oncol Rep; 2020 May; 43(5):1437-1450. PubMed ID: 32323809
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Investigation of Potential Mechanisms Associated with Non-small Cell Lung Cancer.
    Shi Y; Zhu S; Yang J; Shao M; Ding W; Jiang W; Sun X; Yao N
    J Comput Biol; 2020 Sep; 27(9):1433-1442. PubMed ID: 32048869
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification of potential therapeutic target genes and mechanisms in non-small-cell lung carcinoma in non-smoking women based on bioinformatics analysis.
    Zhou W; Yin M; Cui H; Wang N; Zhao LL; Yuan LZ; Yang XP; Ding XM; Men FZ; Ma X; Na JR
    Eur Rev Med Pharmacol Sci; 2015 Sep; 19(18):3375-84. PubMed ID: 26439031
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Decreased HLF Expression Predicts Poor Survival in Lung Adenocarcinoma.
    Wang Z; Li X; Chen H; Han L; Ji X; Wang Q; Wei L; Miao Y; Wang J; Mao J; Zhang Z
    Med Sci Monit; 2021 May; 27():e929333. PubMed ID: 33979320
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of Key Biomarkers and Candidate Molecules in Non-Small-Cell Lung Cancer by Integrated Bioinformatics Analysis.
    Yu L; Liang X; Wang J; Ding G; Tang J; Xue J; He X; Ge J; Jin X; Yang Z; Li X; Yao H; Yin H; Liu W; Yin S; Sun B; Sheng J
    Genet Res (Camb); 2023; 2023():6782732. PubMed ID: 36688087
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification and validation of key genes with prognostic value in non-small-cell lung cancer via integrated bioinformatics analysis.
    Wang L; Qu J; Liang Y; Zhao D; Rehman FU; Qin K; Zhang X
    Thorac Cancer; 2020 Apr; 11(4):851-866. PubMed ID: 32059076
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification and validation of key genes associated with non-small-cell lung cancer.
    Ma Q; Xu Y; Liao H; Cai Y; Xu L; Xiao D; Liu C; Pu W; Zhong X; Guo X
    J Cell Physiol; 2019 Dec; 234(12):22742-22752. PubMed ID: 31127628
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Elevated mRNA Levels of AURKA, CDC20 and TPX2 are associated with poor prognosis of smoking related lung adenocarcinoma using bioinformatics analysis.
    Zhang MY; Liu XX; Li H; Li R; Liu X; Qu YQ
    Int J Med Sci; 2018; 15(14):1676-1685. PubMed ID: 30588191
    [No Abstract]   [Full Text] [Related]  

  • 20. The identification of key biomarkers in patients with lung adenocarcinoma based on bioinformatics.
    Ni KW; Sun GZ
    Math Biosci Eng; 2019 Aug; 16(6):7671-7687. PubMed ID: 31698633
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 27.