BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

114 related articles for article (PubMed ID: 38773913)

  • 1. Identification of potential biomarkers for pancreatic ductal adenocarcinoma: a bioinformatics analysis.
    G J; A S
    Comput Methods Biomech Biomed Engin; 2024 May; ():1-15. PubMed ID: 38773913
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Integrated bioinformatics analysis of potential biomarkers for pancreatic cancer.
    Shi H; Xu H; Chai C; Qin Z; Zhou W
    J Clin Lab Anal; 2022 May; 36(5):e24381. PubMed ID: 35403252
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of Metastasis-Associated Biomarkers in Synovial Sarcoma Using Bioinformatics Analysis.
    Song Y; Liu X; Wang F; Wang X; Cheng G; Peng C
    Front Genet; 2020; 11():530892. PubMed ID: 33061942
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of prognostic risk factors for pancreatic cancer using bioinformatics analysis.
    Jin D; Jiao Y; Ji J; Jiang W; Ni W; Wu Y; Ni R; Lu C; Qu L; Ni H; Liu J; Xu W; Xiao M
    PeerJ; 2020; 8():e9301. PubMed ID: 32587798
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identifying
    Ding J; Liu Y; Lai Y
    PeerJ; 2020; 8():e10419. PubMed ID: 33282565
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of a five genes prognosis signature for triple-negative breast cancer using multi-omics methods and bioinformatics analysis.
    Ma J; Chen C; Liu S; Ji J; Wu D; Huang P; Wei D; Fan Z; Ren L
    Cancer Gene Ther; 2022 Nov; 29(11):1578-1589. PubMed ID: 35474355
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis.
    Zhou Z; Li Y; Hao H; Wang Y; Zhou Z; Wang Z; Chu X
    Cell Transplant; 2019 Dec; 28(1_suppl):76S-86S. PubMed ID: 31822116
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bioinformatics Analysis of Candidate Genes and Pathways Related to Hepatocellular Carcinoma in China: A Study Based on Public Databases.
    Zhang P; Feng J; Wu X; Chu W; Zhang Y; Li P
    Pathol Oncol Res; 2021; 27():588532. PubMed ID: 34257537
    [No Abstract]   [Full Text] [Related]  

  • 9. Identification of Hub Genes as Potential Prognostic Biomarkers in Cervical Cancer Using Comprehensive Bioinformatics Analysis and Validation Studies.
    Xue H; Sun Z; Wu W; Du D; Liao S
    Cancer Manag Res; 2021; 13():117-131. PubMed ID: 33447084
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Integrated Bioinformatics Analysis for the Screening of Hub Genes and Therapeutic Drugs in Hepatocellular Carcinoma.
    Su Q; Li W; Zhang X; Wu R; Zheng K; Zhou T; Dong Y; He Y; Wang D; Ran J
    Curr Pharm Biotechnol; 2023; 24(8):1035-1058. PubMed ID: 35762549
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Integrated bioinformatics analysis of microarray data from the GEO database to identify the candidate genes linked to poor prognosis in lung adenocarcinoma.
    Liu X; Li L; Xie X; Zhuang D; Hu C
    Technol Health Care; 2023; 31(2):579-592. PubMed ID: 36336945
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Screening and identification of hub genes in pancreatic cancer by integrated bioinformatics analysis.
    Chen Q; Yu D; Zhao Y; Qiu J; Xie Y; Tao M
    J Cell Biochem; 2019 Dec; 120(12):19496-19508. PubMed ID: 31297881
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Elevated TOP2A and UBE2C expressions correlate with poor prognosis in patients with surgically resected lung adenocarcinoma: a study based on immunohistochemical analysis and bioinformatics.
    Guo W; Sun S; Guo L; Song P; Xue X; Zhang H; Zhang G; Wang Z; Qiu B; Tan F; Xue Q; Gao Y; Gao S; He J
    J Cancer Res Clin Oncol; 2020 Apr; 146(4):821-841. PubMed ID: 32103339
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification of hub genes and regulators associated with pancreatic ductal adenocarcinoma based on integrated gene expression profile analysis.
    Shang M; Zhang L; Chen X; Zheng S
    Discov Med; 2019 Sep; 28(153):159-172. PubMed ID: 31926587
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of hub genes associated with bladder cancer using bioinformatic analyses.
    Zheng W; Zhao Y; Wang T; Zhao X; Tan Z
    Transl Cancer Res; 2022 May; 11(5):1330-1343. PubMed ID: 35706790
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of KIF4A and its effect on the progression of lung adenocarcinoma based on the bioinformatics analysis.
    Song Y; Tang W; Li H
    Biosci Rep; 2021 Jan; 41(1):. PubMed ID: 33398330
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Bioinformatics Analysis based on Multiple Databases Identifies Hub Genes Associated with Hepatocellular Carcinoma.
    Zeng L; Fan X; Wang X; Deng H; Zhang K; Zhang X; He S; Li N; Han Q; Liu Z
    Curr Genomics; 2019 Aug; 20(5):349-361. PubMed ID: 32476992
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Integrative bioinformatics approaches for identifying potential biomarkers and pathways involved in non-obstructive azoospermia.
    Hu T; Luo S; Xi Y; Tu X; Yang X; Zhang H; Feng J; Wang C; Zhang Y
    Transl Androl Urol; 2021 Jan; 10(1):243-257. PubMed ID: 33532314
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 6.