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 *

385 related articles for article (PubMed ID: 36927770)

  • 1. In silico analysis to identify miR-1271-5p/PLCB4 (phospholipase C Beta 4) axis mediated oxaliplatin resistance in metastatic colorectal cancer.
    Lee CC; Lee AW; Wei PL; Liu YS; Chang YJ; Huang CY
    Sci Rep; 2023 Mar; 13(1):4366. PubMed ID: 36927770
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of Novel miRNAs, Targeting Genes, Signaling Pathway, and the Small Molecule for Overcoming Oxaliplatin Resistance of Metastatic Colorectal Cancer.
    Misbah M; Kumar M; Lee KH; Shen SC
    Biomed Res Int; 2022; 2022():3825760. PubMed ID: 36193307
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Study on potential differentially expressed genes in stroke by bioinformatics analysis.
    Yang X; Wang P; Yan S; Wang G
    Neurol Sci; 2022 Feb; 43(2):1155-1166. PubMed ID: 34313877
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of key biomarkers and functional pathways in osteosarcomas with lung metastasis: Evidence from bioinformatics analysis.
    Liu D; Zhou R; Zhou A
    Medicine (Baltimore); 2021 Feb; 100(6):e24471. PubMed ID: 33578541
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prognostic values and prospective pathway signaling of MicroRNA-182 in ovarian cancer: a study based on gene expression omnibus (GEO) and bioinformatics analysis.
    Li Y; Li L
    J Ovarian Res; 2019 Nov; 12(1):106. PubMed ID: 31703725
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Employing bioinformatics analysis to identify hub genes and microRNAs involved in colorectal cancer.
    Ebadfardzadeh J; Kazemi M; Aghazadeh A; Rezaei M; Shirvaliloo M; Sheervalilou R
    Med Oncol; 2021 Aug; 38(9):114. PubMed ID: 34390411
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of crucial miRNAs and genes in esophageal squamous cell carcinoma by miRNA-mRNA integrated analysis.
    Zhong X; Huang G; Ma Q; Liao H; Liu C; Pu W; Xu L; Cai Y; Guo X
    Medicine (Baltimore); 2019 Jul; 98(27):e16269. PubMed ID: 31277149
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
    Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
    J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of Hub Genes for Colorectal Cancer with Liver Metastasis Using miRNA-mRNA Network.
    Zhang SM; Shen C; Li J; Wang XD; Zhai SQ; Shi LL; Lu DL; Jiang XH; Qiu J
    Dis Markers; 2023; 2023():2295788. PubMed ID: 36798788
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Bioinformatics Analysis Identifies the Estrogen Receptor 1 (ESR1) Gene and hsa-miR-26a-5p as Potential Prognostic Biomarkers in Patients with Intrahepatic Cholangiocarcinoma.
    Qin X; Song Y
    Med Sci Monit; 2020 May; 26():e921815. PubMed ID: 32435051
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of the key genes and microRNAs in adult acute myeloid leukemia with FLT3 mutation by bioinformatics analysis.
    Chen S; Chen Y; Zhu Z; Tan H; Lu J; Qin P; Xu L
    Int J Med Sci; 2020; 17(9):1269-1280. PubMed ID: 32547322
    [No Abstract]   [Full Text] [Related]  

  • 14. Identification and prediction of novel non-coding and coding RNA-associated competing endogenous RNA networks in colorectal cancer.
    Liang Y; Zhang C; Ma MH; Dai DQ
    World J Gastroenterol; 2018 Dec; 24(46):5259-5270. PubMed ID: 30581274
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. Identification of key miRNAs and their targets in peripheral blood mononuclear cells of IgA nephropathy using bioinformatics analysis.
    Liu L; Yang Y; Yu D
    Medicine (Baltimore); 2021 Jul; 100(26):e26495. PubMed ID: 34190177
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Construction of the miRNA-mRNA regulatory network and analysis of hub genes in oral squamous cell carcinoma.
    Cui Z; Song Q; Chen Y; Yang K
    Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub; 2022 Sep; 166(3):280-289. PubMed ID: 35132271
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identifying hub genes and miRNAs in Crohn's disease by bioinformatics analysis.
    Sun Y; Cai D; Hu W; Fang T
    Front Genet; 2022; 13():950136. PubMed ID: 36118873
    [No Abstract]   [Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 20.