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 *

127 related articles for article (PubMed ID: 38376276)

  • 1. Integrated bioinformatics approach to unwind key genes and pathways involved in colorectal cancer.
    Mobeen SA; Saxena P; Jain AK; Deval R; Riazunnisa K; Pradhan D
    J Cancer Res Ther; 2023 Oct; 19(7):1766-1774. PubMed ID: 38376276
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. Identification of key genes for predicting colorectal cancer prognosis by integrated bioinformatics analysis.
    Dai GP; Wang LP; Wen YQ; Ren XQ; Zuo SG
    Oncol Lett; 2020 Jan; 19(1):388-398. PubMed ID: 31897151
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Identification of Hub Genes in Different Stages of Colorectal Cancer through an Integrated Bioinformatics Approach.
    Patil AR; Leung MY; Roy S
    Int J Environ Res Public Health; 2021 May; 18(11):. PubMed ID: 34070979
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. 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]  

  • 12. Delineating the underlying molecular mechanisms and key genes involved in metastasis of colorectal cancer via bioinformatics analysis.
    Qi C; Chen Y; Zhou Y; Huang X; Li G; Zeng J; Ruan Z; Xie X; Zhang J
    Oncol Rep; 2018 May; 39(5):2297-2305. PubMed ID: 29517105
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Hub Genes and Key Pathway Identification in Colorectal Cancer Based on Bioinformatic Analysis.
    Lv J; Li L
    Biomed Res Int; 2019; 2019():1545680. PubMed ID: 31781593
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Common gene signatures and key pathways in hypopharyngeal and esophageal squamous cell carcinoma: Evidence from bioinformatic analysis.
    Zhou R; Liu D; Zhu J; Zhang T
    Medicine (Baltimore); 2020 Oct; 99(42):e22434. PubMed ID: 33080677
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Complement C5 is a novel biomarker for liver metastasis of colorectal cancer.
    Chang H; Jin L; Xie P; Zhang B; Yu M; Li H; Liu S; Yan J; Zhou B; Li X; Xu Y; Xiao Y; Ye Q; Guo L
    J Gastrointest Oncol; 2022 Oct; 13(5):2351-2365. PubMed ID: 36388659
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. Identification and verification of key cancer genes associated with prognosis of colorectal cancer based on bioinformatics analysis.
    Qin Y; Chen L; Chen L
    Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2021 Oct; 46(10):1063-1070. PubMed ID: 34911835
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Bioinformatic Identification of Hub Genes and Analysis of Prognostic Values in Colorectal Cancer.
    Lei X; Jing J; Zhang M; Guan B; Dong Z; Wang C
    Nutr Cancer; 2021; 73(11-12):2568-2578. PubMed ID: 33153324
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 7.