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 *

237 related articles for article (PubMed ID: 35483170)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. Identification of potential biomarkers with colorectal cancer based on bioinformatics analysis and machine learning.
    Hammad A; Elshaer M; Tang X
    Math Biosci Eng; 2021 Oct; 18(6):8997-9015. PubMed ID: 34814332
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of a novel prognostic signature correlated with epithelial-mesenchymal transition, N6-methyladenosine modification, and immune infiltration in colorectal cancer.
    Qu X; Tan H; Mao J; Yang M; Xu J; Yan X; Wu W
    Cancer Med; 2023 Mar; 12(5):5926-5938. PubMed ID: 36281556
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Differential analysis revealing APOC1 to be a diagnostic and prognostic marker for liver metastases of colorectal cancer.
    Shen HY; Wei FZ; Liu Q
    World J Clin Cases; 2021 Jun; 9(16):3880-3894. PubMed ID: 34141744
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Characterization of butyrate-metabolism in colorectal cancer to guide clinical treatment.
    Luo Q; Zhou P; Chang S; Huang Z; Zeng X
    Sci Rep; 2023 Mar; 13(1):5106. PubMed ID: 36991138
    [TBL] [Abstract][Full Text] [Related]  

  • 11. THBS1 facilitates colorectal liver metastasis through enhancing epithelial-mesenchymal transition.
    Liu X; Xu D; Liu Z; Li Y; Zhang C; Gong Y; Jiang Y; Xing B
    Clin Transl Oncol; 2020 Oct; 22(10):1730-1740. PubMed ID: 32052380
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of four novel hub genes as monitoring biomarkers for colorectal cancer.
    Luo D; Yang J; Liu J; Yong X; Wang Z
    Hereditas; 2022 Jan; 159(1):11. PubMed ID: 35093172
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of the prognostic biomarkers and their correlations with immune infiltration in colorectal cancer through bioinformatics analysis and
    Guo M; Li X; Li J; Li B
    Heliyon; 2023 Jun; 9(6):e17101. PubMed ID: 37389063
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification of key genes involved in the development and progression of early-onset colorectal cancer by co-expression network analysis.
    Mo X; Su Z; Yang B; Zeng Z; Lei S; Qiao H
    Oncol Lett; 2020 Jan; 19(1):177-186. PubMed ID: 31897128
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Identification of 10 Hub genes related to the progression of colorectal cancer by co-expression analysis.
    Meng J; Su R; Liao Y; Li Y; Li L
    PeerJ; 2020; 8():e9633. PubMed ID: 33240582
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification of Hub Genes in Colorectal Adenocarcinoma by Integrated Bioinformatics.
    Liu Y; Chen L; Meng X; Ye S; Ma L
    Front Cell Dev Biol; 2022; 10():897568. PubMed ID: 35693937
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification and verification of HCAR3 and INSL5 as new potential therapeutic targets of colorectal cancer.
    Yang X; Wei W; Tan S; Guo L; Qiao S; Yao B; Wang Z
    World J Surg Oncol; 2021 Aug; 19(1):248. PubMed ID: 34419055
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Differential Expression Analysis Revealing CLCA1 to Be a Prognostic and Diagnostic Biomarker for Colorectal Cancer.
    Wei FZ; Mei SW; Wang ZJ; Chen JN; Shen HY; Zhao FQ; Li J; Liu Z; Liu Q
    Front Oncol; 2020; 10():573295. PubMed ID: 33251137
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Integrated analysis of genes associated with poor prognosis of patients with colorectal cancer liver metastasis.
    Qian Z; Zhang G; Song G; Shi J; Gong L; Mou Y; Han Y
    Oncotarget; 2017 Apr; 8(15):25500-25512. PubMed ID: 28424419
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.