BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

243 related articles for article (PubMed ID: 34373442)

  • 21. Identification of hub genes and regulators associated with pancreatic ductal adenocarcinoma based on integrated gene expression profile analysis.
    Shang M; Zhang L; Chen X; Zheng S
    Discov Med; 2019 Sep; 28(153):159-172. PubMed ID: 31926587
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. The pan-cancer analysis of the two types of uterine cancer uncovered clinical and prognostic associations with m6A RNA methylation regulators.
    Zou Z; Zhou S; Liang G; Tang Z; Li K; Tan S; Zhang X; Zhu X
    Mol Omics; 2021 Jun; 17(3):438-453. PubMed ID: 34110327
    [TBL] [Abstract][Full Text] [Related]  

  • 24. An Integrated Microarray Analysis Reveals Significant Diagnostic and Prognostic Biomarkers in Pancreatic Cancer.
    Yang ZQ; Liu YJ; Zhou XL
    Med Sci Monit; 2020 Apr; 26():e921769. PubMed ID: 32235821
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Identification of hub genes and construction of transcriptional regulatory network for the progression of colon adenocarcinoma hub genes and TF regulatory network of colon adenocarcinoma.
    Wei S; Chen J; Huang Y; Sun Q; Wang H; Liang X; Hu Z; Li X
    J Cell Physiol; 2020 Mar; 235(3):2037-2048. PubMed ID: 31612481
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A five-gene signature derived from m6A regulators to improve prognosis prediction of neuroblastoma.
    Wang Z; Cheng H; Xu H; Yu X; Sui D
    Cancer Biomark; 2020; 28(3):275-284. PubMed ID: 32176634
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Integrative Gene Expression Profiling Analysis to Investigate Potential Prognostic Biomarkers for Colorectal Cancer.
    Liu X; Bing Z; Wu J; Zhang J; Zhou W; Ni M; Meng Z; Liu S; Tian J; Zhang X; Li Y; Jia S; Guo S
    Med Sci Monit; 2020 Jan; 26():e918906. PubMed ID: 31893510
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Identification of Potential Hub Genes Related to Diagnosis and Prognosis of Hepatitis B Virus-Related Hepatocellular Carcinoma via Integrated Bioinformatics Analysis.
    Tang Y; Zhang Y; Hu X
    Biomed Res Int; 2020; 2020():4251761. PubMed ID: 33376723
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Identification of three m6A-related mRNAs signature and risk score for the prognostication of hepatocellular carcinoma.
    Li Z; Li F; Peng Y; Fang J; Zhou J
    Cancer Med; 2020 Mar; 9(5):1877-1889. PubMed ID: 31943856
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. Identification of candidate aberrantly methylated and differentially expressed genes in Esophageal squamous cell carcinoma.
    Han BA; Yang XP; Hosseini DK; Zhang P; Zhang Y; Yu JT; Chen S; Zhang F; Zhou T; Sun HY
    Sci Rep; 2020 Jun; 10(1):9735. PubMed ID: 32546690
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Microarray analysis of genes with differential expression of m6A methylation in lung cancer.
    Wu S; Lv X; Zhang Y; Xu X; Zhao F; Zhang Y; Chen L; Ou-Yang H; Ti X
    Biosci Rep; 2021 Sep; 41(9):. PubMed ID: 34308964
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. The Prognostic Value of m6A RNA Methylation Regulators in Colon Adenocarcinoma.
    Liu T; Li C; Jin L; Li C; Wang L
    Med Sci Monit; 2019 Dec; 25():9435-9445. PubMed ID: 31823961
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Screening and validating the core biomarkers in patients with pancreatic ductal adenocarcinoma.
    Li Y; Zhu YY; Dai GP; Wu DJ; Gao ZZ; Zhang L; Fan YH
    Math Biosci Eng; 2019 Nov; 17(1):910-927. PubMed ID: 31731384
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Identification of Differentially Expressed Genes and miRNAs Associated with Esophageal Squamous Cell Carcinoma by Integrated Analysis of Microarray Data.
    Zhang L; Chen J; Cheng T; Yang H; Pan C; Li H
    Biomed Res Int; 2020; 2020():1980921. PubMed ID: 32714975
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Identification of candidate biomarkers and therapeutic drugs of colorectal cancer by integrated bioinformatics analysis.
    Zheng Z; Xie J; Xiong L; Gao M; Qin L; Dai C; Liang Z; Wang Y; Xue J; Wang Q; Wang W; Li X
    Med Oncol; 2020 Oct; 37(11):104. PubMed ID: 33078282
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Comprehensive multi-omics analysis identified core molecular processes in esophageal cancer and revealed GNGT2 as a potential prognostic marker.
    Liu GM; Ji X; Lu TC; Duan LW; Jia WY; Liu Y; Sun ML; Luo YG
    World J Gastroenterol; 2019 Dec; 25(48):6890-6901. PubMed ID: 31908393
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. Comprehensive Analysis of Core Genes and Potential Mechanisms in Rectal Cancer.
    Liu BX; Huang GJ; Cheng HB
    J Comput Biol; 2019 Nov; 26(11):1262-1277. PubMed ID: 31211595
    [No Abstract]   [Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.