BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

626 related articles for article (PubMed ID: 33813720)

  • 21. Identification and interaction analysis of key genes and microRNAs in hepatocellular carcinoma by bioinformatics analysis.
    Mou T; Zhu D; Wei X; Li T; Zheng D; Pu J; Guo Z; Wu Z
    World J Surg Oncol; 2017 Mar; 15(1):63. PubMed ID: 28302149
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Bioinformatics Analyses of Potential miRNA-mRNA Regulatory Axis in HBV-related Hepatocellular Carcinoma.
    Huang DP; Zeng YH; Yuan WQ; Huang XF; Chen SQ; Wang MY; Qiu YJ; Tong GD
    Int J Med Sci; 2021; 18(2):335-346. PubMed ID: 33390802
    [No Abstract]   [Full Text] [Related]  

  • 23. Construction of microRNA-messenger networks for human osteosarcoma.
    Ma G; Zhang C; Luo W; Zhao JL; Wang X; Qian Y
    J Cell Physiol; 2019 Aug; 234(8):14145-14153. PubMed ID: 30666640
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Identification of the miRNA-mRNA regulatory network in multiple sclerosis.
    Yang Q; Pan W; Qian L
    Neurol Res; 2017 Feb; 39(2):142-151. PubMed ID: 27809691
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Microarray data analysis to identify miRNA biomarkers and construct the lncRNA-miRNA-mRNA network in lung adenocarcinoma.
    Song Y; Kelava L; Zhang L; Kiss I
    Medicine (Baltimore); 2022 Sep; 101(36):e30393. PubMed ID: 36086747
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Identification of novel genes associated with a poor prognosis in pancreatic ductal adenocarcinoma via a bioinformatics analysis.
    Zhou J; Hui X; Mao Y; Fan L
    Biosci Rep; 2019 Aug; 39(8):. PubMed ID: 31311829
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. Putative tumor suppressor gene SEL1L was downregulated by aberrantly upregulated hsa-mir-155 in human pancreatic ductal adenocarcinoma.
    Liu Q; Chen J; Wang J; Amos C; Killary AM; Sen S; Wei C; Frazier ML
    Mol Carcinog; 2014 Sep; 53(9):711-21. PubMed ID: 23661430
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Integrated Analysis of Hub Genes and MicroRNAs in Human Placental Tissues from
    Yang S; Zheng W; Yang C; Zu R; Ran S; Wu H; Mu M; Sun S; Zhang N; Thorne RF; Guan Y
    Front Endocrinol (Lausanne); 2021; 12():774997. PubMed ID: 34867824
    [TBL] [Abstract][Full Text] [Related]  

  • 30. MicroRNA profiling reveals dysregulated microRNAs and their target gene regulatory networks in cemento-ossifying fibroma.
    Pereira TDSF; Brito JAR; Guimarães ALS; Gomes CC; de Lacerda JCT; de Castro WH; Coimbra RS; Diniz MG; Gomez RS
    J Oral Pathol Med; 2018 Jan; 47(1):78-85. PubMed ID: 29032608
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A novel mRNA-miRNA-lncRNA competing endogenous RNA triple sub-network associated with prognosis of pancreatic cancer.
    Wang W; Lou W; Ding B; Yang B; Lu H; Kong Q; Fan W
    Aging (Albany NY); 2019 May; 11(9):2610-2627. PubMed ID: 31061236
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Integrated miRNA-mRNA Expression Profiles Revealing Key Molecules in Ovarian Cancer Based on Bioinformatics Analysis.
    Li C; Hong Z; Ou M; Zhu X; Zhang L; Yang X
    Biomed Res Int; 2021; 2021():6673655. PubMed ID: 34734085
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. Bioinformatics prediction and experimental validation of a novel microRNA: hsa-miR-B43 within human CDH4 gene with a potential metastasis-related function in breast cancer.
    Rahimi A; Sedighi R; Emadi-Baygi M; Honardoost MA; Mowla SJ; Khanahmad H; Nikpour P
    J Cell Biochem; 2020 Feb; 121(2):1307-1316. PubMed ID: 31489987
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Uncovering the Potential Differentially Expressed miRNAs and mRNAs in Ischemic Stroke Based on Integrated Analysis in the Gene Expression Omnibus Database.
    Zhu X; Liu X; Liu Y; Chang W; Song Y; Zhu S
    Eur Neurol; 2020; 83(4):404-414. PubMed ID: 32906114
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Integrative Analysis of Three Novel Competing Endogenous RNA Biomarkers with a Prognostic Value in Lung Adenocarcinoma.
    Tan J; Wang W; Song B; Song Y; Meng Z
    Biomed Res Int; 2020; 2020():2837906. PubMed ID: 32802839
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A panel of 8 miRNAs as a novel diagnostic biomarker in pancreatic cancer.
    Deng B; Wang M; Liu Z
    Medicine (Baltimore); 2020 Sep; 99(38):e22261. PubMed ID: 32957376
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Integrated microRNA-mRNA analysis of pancreatic ductal adenocarcinoma.
    Liu PF; Jiang WH; Han YT; He LF; Zhang HL; Ren H
    Genet Mol Res; 2015 Aug; 14(3):10288-97. PubMed ID: 26345967
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Identification of key miRNAs and mRNAs related to coronary artery disease by meta-analysis.
    Liu L; Zhang J; Wu M; Xu H
    BMC Cardiovasc Disord; 2021 Sep; 21(1):443. PubMed ID: 34530741
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Prospective pathway signaling and prognostic values of MicroRNA-9 in ovarian cancer based on gene expression omnibus (GEO): a bioinformatics analysis.
    Zuo L; Li X; Tan Y; Zhu H; Xiao M
    J Ovarian Res; 2021 Feb; 14(1):29. PubMed ID: 33563317
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 32.