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 *

169 related articles for article (PubMed ID: 38134110)

  • 1. Identification of potential key genes for colorectal cancer based on bioinformatics analysis.
    Li C; Cao S; Guo M; Guo A; Sun X
    Medicine (Baltimore); 2023 Dec; 102(51):e36615. PubMed ID: 38134110
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The identification of a common different gene expression signature in patients with colorectal cancer.
    Zhao ZW; Fan XX; Yang LL; Song JJ; Fang SJ; Tu JF; Chen MJ; Zheng LY; Wu FZ; Zhang DK; Ying XH; Ji JS
    Math Biosci Eng; 2019 Apr; 16(4):2942-2958. PubMed ID: 31137244
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of key pathways and genes in colorectal cancer using bioinformatics analysis.
    Liang B; Li C; Zhao J
    Med Oncol; 2016 Oct; 33(10):111. PubMed ID: 27581154
    [TBL] [Abstract][Full Text] [Related]  

  • 4. CDK1 and CDC20 overexpression in patients with colorectal cancer are associated with poor prognosis: evidence from integrated bioinformatics analysis.
    Li J; Wang Y; Wang X; Yang Q
    World J Surg Oncol; 2020 Mar; 18(1):50. PubMed ID: 32127012
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identifying the key genes and microRNAs in colorectal cancer liver metastasis by bioinformatics analysis and in vitro experiments.
    Zhang T; Guo J; Gu J; Wang Z; Wang G; Li H; Wang J
    Oncol Rep; 2019 Jan; 41(1):279-291. PubMed ID: 30542696
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Bioinformatics-based identification of key genes and pathways associated with colorectal cancer diagnosis, treatment, and prognosis.
    Wang C; Zhang L
    Medicine (Baltimore); 2022 Sep; 101(37):e30619. PubMed ID: 36123948
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. [Screening of differentially expressed genes for colorectal cancer and prediction of potential traditional Chinese medicine: based on bioinformatics].
    Yun ZJ; Wang HJ; Yu YX; Sun ZY; Yao SK
    Zhongguo Zhong Yao Za Zhi; 2022 Mar; 47(6):1666-1676. PubMed ID: 35347966
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Screening key genes and signaling pathways in colorectal cancer by integrated bioinformatics analysis.
    Yu C; Chen F; Jiang J; Zhang H; Zhou M
    Mol Med Rep; 2019 Aug; 20(2):1259-1269. PubMed ID: 31173250
    [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 potential biomarkers for colorectal cancer by clinical database analysis and Kaplan-Meier curves analysis.
    Li C; Gao Y; Lu C; Guo M
    Medicine (Baltimore); 2023 Feb; 102(6):e32877. PubMed ID: 36820595
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of potential therapeutic targets associated with diagnosis and prognosis of colorectal cancer patients based on integrated bioinformatics analysis.
    Sharma A; Yadav D; Rao P; Sinha S; Goswami D; Rawal RM; Shrivastava N
    Comput Biol Med; 2022 Jul; 146():105688. PubMed ID: 35680454
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification of Key Genes in Colorectal Cancer Regulated by miR-34a.
    Wang T; Xu H; Liu X; Chen S; Zhou Y; Zhang X
    Med Sci Monit; 2017 Dec; 23():5735-5743. PubMed ID: 29197895
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Investigating potential molecular mechanisms of serum exosomal miRNAs in colorectal cancer based on bioinformatics analysis.
    Wang H; Chen X; Bao L; Zhang X
    Medicine (Baltimore); 2020 Sep; 99(37):e22199. PubMed ID: 32925795
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Bioinformatics Analysis of Key Genes and Pathways in Colorectal Cancer.
    Qi Y; Qi H; Liu Z; He P; Li B
    J Comput Biol; 2019 Apr; 26(4):364-375. PubMed ID: 30810359
    [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 hub genes and pathways in lung metastatic colorectal cancer.
    Dai W; Guo C; Wang Y; Li Y; Xie R; Wu J; Yao B; Xie D; He L; Li Y; Huang H; Wang Y; Liu S
    BMC Cancer; 2023 Apr; 23(1):323. PubMed ID: 37024866
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification and Interaction Analysis of Molecular Markers in Colorectal Cancer by Integrated Bioinformatics Analysis.
    Han B; Feng D; Yu X; Zhang Y; Liu Y; Zhou L
    Med Sci Monit; 2018 Aug; 24():6059-6069. PubMed ID: 30168505
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.