BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

273 related articles for article (PubMed ID: 32399279)

  • 1. Could CTSK and COL4A2 be specific biomarkers of poor prognosis for patients with gastric cancer in Asia?-a microarray analysis based on regional population.
    Feng Z; Qiao R; Ren Z; Hou X; Feng J; He X; Chen D
    J Gastrointest Oncol; 2020 Apr; 11(2):386-401. PubMed ID: 32399279
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Integrated bioinformatics analysis reveals novel key biomarkers and potential candidate small molecule drugs in gastric cancer.
    Wu Q; Zhang B; Wang Z; Hu X; Sun Y; Xu R; Chen X; Wang Q; Ju F; Ren S; Zhang C; Qi F; Ma Q; Xue Q; Zhou YL
    Pathol Res Pract; 2019 May; 215(5):1038-1048. PubMed ID: 30975489
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of critical genes in gastric cancer to predict prognosis using bioinformatics analysis methods.
    Liu J; Ma L; Chen Z; Song Y; Gu T; Liu X; Zhao H; Yao N
    Ann Transl Med; 2020 Jul; 8(14):884. PubMed ID: 32793728
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Integrated bioinformatics analysis for differentially expressed genes and signaling pathways identification in gastric cancer.
    Yang C; Gong A
    Int J Med Sci; 2021; 18(3):792-800. PubMed ID: 33437215
    [No Abstract]   [Full Text] [Related]  

  • 5. The Analysis of Potential Diagnostic and Therapeutic Targets for the Occurrence and Development of Gastric Cancer Based on Bioinformatics.
    Ding C; Zhang Q; Jiang X; Wei D; Xu S; Li Q; Wu M; Wang H
    Comput Math Methods Med; 2022; 2022():4321466. PubMed ID: 35756405
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of survival-associated biomarkers based on three datasets by bioinformatics analysis in gastric cancer.
    Yin LK; Yuan HY; Liu JJ; Xu XL; Wang W; Bai XY; Wang P
    World J Clin Cases; 2023 Jul; 11(20):4763-4787. PubMed ID: 37584004
    [TBL] [Abstract][Full Text] [Related]  

  • 7. FN1, SPARC, and SERPINE1 are highly expressed and significantly related to a poor prognosis of gastric adenocarcinoma revealed by microarray and bioinformatics.
    Li L; Zhu Z; Zhao Y; Zhang Q; Wu X; Miao B; Cao J; Fei S
    Sci Rep; 2019 May; 9(1):7827. PubMed ID: 31127138
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Collagen family genes and related genes might be associated with prognosis of patients with gastric cancer: an integrated bioinformatics analysis and experimental validation.
    Weng K; Huang Y; Deng H; Wang R; Luo S; Wu H; Chen J; Long M; Hao W
    Transl Cancer Res; 2020 Oct; 9(10):6246-6262. PubMed ID: 35117235
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prognostic biomarkers and immune cell infiltration characteristics in small cell lung cancer.
    Ni J; Si X; Wang H; Zhang X; Zhang L
    Cancer Pathog Ther; 2023 Jan; 1(1):18-24. PubMed ID: 38328611
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of Potential Biomarkers Associated with Prognosis in Gastric Cancer via Bioinformatics Analysis.
    Li D; Yin Y; He M; Wang J
    Med Sci Monit; 2021 Feb; 27():e929104. PubMed ID: 33582701
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of key candidate genes and biological pathways in bladder cancer.
    Gao X; Chen Y; Chen M; Wang S; Wen X; Zhang S
    PeerJ; 2018; 6():e6036. PubMed ID: 30533316
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of hub genes and potential molecular mechanisms in gastric cancer by integrated bioinformatics analysis.
    Cao L; Chen Y; Zhang M; Xu DQ; Liu Y; Liu T; Liu SX; Wang P
    PeerJ; 2018; 6():e5180. PubMed ID: 30002985
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
    Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
    Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Identification of differentially expressed genes and signaling pathways in papillary thyroid cancer: a study based on integrated microarray and bioinformatics analysis.
    Sun T; Guan Q; Wang Y; Qian K; Sun W; Ji Q; Wu Y; Guo K; Xiang J
    Gland Surg; 2021 Feb; 10(2):629-644. PubMed ID: 33708546
    [TBL] [Abstract][Full Text] [Related]  

  • 16.
    Yan P; He Y; Xie K; Kong S; Zhao W
    PeerJ; 2018; 6():e6092. PubMed ID: 30568862
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification of differentially expressed mRNAs as novel predictive biomarkers for gastric cancer diagnosis and prognosis.
    Zhou JW; Zhang YB; Huang ZY; Yuan YP; Jin J
    World J Gastrointest Oncol; 2024 May; 16(5):1947-1964. PubMed ID: 38764850
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of potential key genes in gastric cancer using bioinformatics analysis.
    Wang W; He Y; Zhao Q; Zhao X; Li Z
    Biomed Rep; 2020 Apr; 12(4):178-192. PubMed ID: 32190306
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of hub genes with prognostic values in gastric cancer by bioinformatics analysis.
    Li T; Gao X; Han L; Yu J; Li H
    World J Surg Oncol; 2018 Jun; 16(1):114. PubMed ID: 29921304
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of Key Genes and Pathways in Tongue Squamous Cell Carcinoma Using Bioinformatics Analysis.
    Zhang H; Liu J; Fu X; Yang A
    Med Sci Monit; 2017 Dec; 23():5924-5932. PubMed ID: 29240723
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.