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 *

342 related articles for article (PubMed ID: 32351322)

  • 1. Identification of Hub Genes Related to Carcinogenesis and Prognosis in Colorectal Cancer Based on Integrated Bioinformatics.
    Gong B; Kao Y; Zhang C; Sun F; Gong Z; Chen J
    Mediators Inflamm; 2020; 2020():5934821. PubMed ID: 32351322
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of biomarkers associated with diagnosis and prognosis of colorectal cancer patients based on integrated bioinformatics analysis.
    Chen L; Lu D; Sun K; Xu Y; Hu P; Li X; Xu F
    Gene; 2019 Apr; 692():119-125. PubMed ID: 30654001
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 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. Identification of a five-gene signature with prognostic value in colorectal cancer.
    Sun G; Li Y; Peng Y; Lu D; Zhang F; Cui X; Zhang Q; Li Z
    J Cell Physiol; 2019 Apr; 234(4):3829-3836. PubMed ID: 30132881
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. Identification and clinicopathological analysis of potential p73-regulated biomarkers in colorectal cancer via integrative bioinformatics.
    Bareja C; Dwivedi K; Uboveja A; Mathur A; Kumar N; Saluja D
    Sci Rep; 2024 Apr; 14(1):9894. PubMed ID: 38688978
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. Identification of Critical Genes and Five Prognostic Biomarkers Associated with Colorectal Cancer.
    Huang Z; Yang Q; Huang Z
    Med Sci Monit; 2018 Jul; 24():4625-4633. PubMed ID: 29973580
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A network-based predictive gene expression signature for recurrence risks in stage II colorectal cancer.
    Yang WJ; Wang HB; Wang WD; Bai PY; Lu HX; Sun CH; Liu ZS; Guan DK; Yang GW; Zhang GL
    Cancer Med; 2020 Jan; 9(1):179-193. PubMed ID: 31724326
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Bioinformatics Analysis of Prognosis-Related Genes and Expression of CXCL8 in Colorectal Cancer.
    Yao Z; Pan X; Chen W; Pei Y; Chen C; Huang Y; Liu S; Liu Y
    Biomed Res Int; 2022; 2022():3149887. PubMed ID: 35845924
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction and Validation of Hub Genes Associated with Colorectal Cancer by Integrating PPI Network and Gene Expression Data.
    Xiong Y; You W; Wang R; Peng L; Fu Z
    Biomed Res Int; 2017; 2017():2421459. PubMed ID: 29209625
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of hub genes in colorectal cancer based on weighted gene co-expression network analysis and clinical data from The Cancer Genome Atlas.
    Zhang Y; Luo J; Liu Z; Liu X; Ma Y; Zhang B; Chen Y; Li X; Feng Z; Yang N; Feng D; Wang L; Song X
    Biosci Rep; 2021 Jul; 41(7):. PubMed ID: 34308980
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of IMPA2 as the hub gene associated with colorectal cancer and liver metastasis by integrated bioinformatics analysis.
    Wang L; Liu D; Liu S; Liao T; Jiao Y; Jiang X; Wang Y; Chen Y; Ma H; Cai H
    Transl Oncol; 2022 Jul; 21():101435. PubMed ID: 35483170
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Follistatin-Like 3 Correlates With Lymph Node Metastasis and Serves as a Biomarker of Extracellular Matrix Remodeling in Colorectal Cancer.
    Yang C; Cao F; Huang S; Zheng Y
    Front Immunol; 2021; 12():717505. PubMed ID: 34335633
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification and validation of a pyroptosis-related prognostic model for colorectal cancer.
    Li R; Zhang S; Liu G
    Funct Integr Genomics; 2022 Dec; 23(1):21. PubMed ID: 36564624
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of Genes Related to Clinicopathological Characteristics and Prognosis of Patients with Colorectal Cancer.
    Gao X; Yang J
    DNA Cell Biol; 2020 Apr; 39(4):690-699. PubMed ID: 32027181
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 18.