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 *

143 related articles for article (PubMed ID: 39145072)

  • 1. Exploring the effects of matrix metalloproteinase-13 on the malignant biological behavior of tongue squamous cell carcinoma via the TNF signaling pathway based on bioinformatics methods.
    Lu J; Zhu Y; Zhang J; Cao N
    Transl Cancer Res; 2024 Jul; 13(7):3814-3825. PubMed ID: 39145072
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Bioinformatics study of the TNFRSF1A mechanism involved in acute liver injury in sepsis through the mTOR signaling pathway.
    Chen Z; Tang K; Zhang H
    Histol Histopathol; 2024 Jul; ():18789. PubMed ID: 39044690
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Screening for biomarkers of tuberous sclerosis complex-associated epilepsy: a bioinformatics analysis.
    Sun Y; Ji H; Xu L; Gu R; Striano P; Winston GP; Li B; Zhou H
    Transl Pediatr; 2024 Jul; 13(7):1190-1200. PubMed ID: 39144436
    [TBL] [Abstract][Full Text] [Related]  

  • 5. SPP1 and FN1 are significant gene biomarkers of tongue squamous cell carcinoma.
    Xu XL; Liu H; Zhang Y; Zhang SX; Chen Z; Bao Y; Li TK
    Oncol Lett; 2021 Oct; 22(4):713. PubMed ID: 34457068
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of ferroptosis-related genes as potential biomarkers of tongue squamous cell carcinoma using an integrated bioinformatics approach.
    Zhu H; Tao Y; Huang Q; Chen Z; Jiang L; Yan H; Zhong J; Liang L
    FEBS Open Bio; 2022 Feb; 12(2):412-429. PubMed ID: 34878732
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of Key Biomarkers and Potential Molecular Mechanisms in Oral Squamous Cell Carcinoma by Bioinformatics Analysis.
    Yang B; Dong K; Guo P; Guo P; Jie G; Zhang G; Li T
    J Comput Biol; 2020 Jan; 27(1):40-54. PubMed ID: 31424263
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bioinformatics prediction and experimental verification of key biomarkers for diabetic kidney disease based on transcriptome sequencing in mice.
    Zhao J; He K; Du H; Wei G; Wen Y; Wang J; Zhou X; Wang J
    PeerJ; 2022; 10():e13932. PubMed ID: 36157062
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification of Key Biomarkers and Potential Molecular Mechanisms in Renal Cell Carcinoma by Bioinformatics Analysis.
    Li F; Guo P; Dong K; Guo P; Wang H; Lv X
    J Comput Biol; 2019 Nov; 26(11):1278-1295. PubMed ID: 31233342
    [No Abstract]   [Full Text] [Related]  

  • 10. Identification of key candidate genes and biological pathways in the synovial tissue of patients with rheumatoid arthritis.
    Yu F; Hu G; Li L; Yu B; Liu R
    Exp Ther Med; 2022 Jun; 23(6):368. PubMed ID: 35495609
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification and Analysis of Potential Key Genes Associated With Hepatocellular Carcinoma Based on Integrated Bioinformatics Methods.
    Li Z; Lin Y; Cheng B; Zhang Q; Cai Y
    Front Genet; 2021; 12():571231. PubMed ID: 33767726
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of Differentially Expressed Genes and miRNAs for Ulcerative Colitis Using Bioinformatics Analysis.
    Hu W; Fang T; Chen X
    Front Genet; 2022; 13():914384. PubMed ID: 35719390
    [No Abstract]   [Full Text] [Related]  

  • 13. Identification of key pathways and genes in nasopharyngeal carcinoma using bioinformatics analysis.
    Zhu HM; Fei Q; Qian LX; Liu BL; He X; Yin L
    Oncol Lett; 2019 May; 17(5):4683-4694. PubMed ID: 30988824
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
    Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
    J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of key genes for esophageal squamous cell carcinoma via integrated bioinformatics analysis and experimental confirmation.
    Hu J; Li R; Miao H; Wen Z
    J Thorac Dis; 2020 Jun; 12(6):3188-3199. PubMed ID: 32642240
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of latent biomarkers in connection with progression and prognosis in oral cancer by comprehensive bioinformatics analysis.
    Reyimu A; Chen Y; Song X; Zhou W; Dai J; Jiang F
    World J Surg Oncol; 2021 Aug; 19(1):240. PubMed ID: 34384424
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Bioinformatics analysis of differentially expressed genes and pathways in the development of cervical cancer.
    Wu B; Xi S
    BMC Cancer; 2021 Jun; 21(1):733. PubMed ID: 34174849
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma.
    Zhou L; Tang H; Wang F; Chen L; Ou S; Wu T; Xu J; Guo K
    Mol Med Rep; 2018 Nov; 18(5):4185-4196. PubMed ID: 30132538
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of key genes and immune infiltration in osteoarthritis through analysis of zinc metabolism-related genes.
    You X; Ye Y; Lin S; Zhang Z; Guo H; Ye H
    BMC Musculoskelet Disord; 2024 Mar; 25(1):227. PubMed ID: 38509535
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.