BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

218 related articles for article (PubMed ID: 32192517)

  • 21. Identification of molecular marker associated with ovarian cancer prognosis using bioinformatics analysis and experiments.
    Zheng MJ; Li X; Hu YX; Dong H; Gou R; Nie X; Liu Q; Ying-Ying H; Liu JJ; Lin B
    J Cell Physiol; 2019 Jul; 234(7):11023-11036. PubMed ID: 30633343
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Cross‑validation of genes potentially associated with neoadjuvant chemotherapy and platinum‑based chemoresistance in epithelial ovarian carcinoma.
    Zhang K; Wang W; Chen L; Liu Y; Hu J; Guo F; Tian W; Wang Y; Xue F
    Oncol Rep; 2020 Sep; 44(3):909-926. PubMed ID: 32705213
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Identification of key biomarkers associated with development and prognosis in patients with ovarian carcinoma: evidence from bioinformatic analysis.
    Shen J; Yu S; Sun X; Yin M; Fei J; Zhou J
    J Ovarian Res; 2019 Nov; 12(1):110. PubMed ID: 31729978
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis.
    Zhou Z; Li Y; Hao H; Wang Y; Zhou Z; Wang Z; Chu X
    Cell Transplant; 2019 Dec; 28(1_suppl):76S-86S. PubMed ID: 31822116
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Using Integrated Bioinformatics Analysis to Identify Abnormally Methylated Differentially Expressed Genes in Hepatocellular Carcinoma.
    Chen QL; Yan Q; Feng KL; Xie CF; Fang CK; Wang JN; Liu LH; Li Y; Zhong C
    Int J Gen Med; 2021; 14():805-823. PubMed ID: 33732011
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Identification of key molecular markers in epithelial ovarian cancer by integrated bioinformatics analysis.
    Qin W; Yuan Q; Liu Y; Zeng Y; Ke D; Dai X; Shuai Y; Hu J; Shi H
    Taiwan J Obstet Gynecol; 2021 Nov; 60(6):983-994. PubMed ID: 34794761
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Identification of Hub Genes in High-Grade Serous Ovarian Cancer Using Weighted Gene Co-Expression Network Analysis.
    Wu M; Sun Y; Wu J; Liu G
    Med Sci Monit; 2020 Mar; 26():e922107. PubMed ID: 32180586
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Identification and Integrate Analysis of Key Biomarkers for Diagnosis and Prognosis of Non-Small Cell Lung Cancer Based on Bioinformatics Analysis.
    Gong K; Zhou H; Liu H; Xie T; Luo Y; Guo H; Chen J; Tan Z; Yang Y; Xie L
    Technol Cancer Res Treat; 2021; 20():15330338211060202. PubMed ID: 34825846
    [No Abstract]   [Full Text] [Related]  

  • 29. Identification of significant genes as prognostic markers and potential tumor suppressors in lung adenocarcinoma via bioinformatical analysis.
    Lu M; Fan X; Liao W; Li Y; Ma L; Yuan M; Gu R; Wei Z; Wang C; Zhang H
    BMC Cancer; 2021 May; 21(1):616. PubMed ID: 34039311
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Aberrantly methylated-differentially expressed genes and related pathways in cholangiocarcinoma.
    Lin G; Xinhe Z; Haoyu T; Yiling L
    Medicine (Baltimore); 2022 Jun; 101(25):e29379. PubMed ID: 35758372
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Identification of Core Genes and Key Pathways via Integrated Analysis of Gene Expression and DNA Methylation Profiles in Bladder Cancer.
    Zhang Y; Fang L; Zang Y; Xu Z
    Med Sci Monit; 2018 May; 24():3024-3033. PubMed ID: 29739919
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Identification of Potential Biomarkers Associated with Prognosis in Gastric Cancer via Bioinformatics Analysis.
    Li D; Yin Y; He M; Wang J
    Med Sci Monit; 2021 Feb; 27():e929104. PubMed ID: 33582701
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Identification and validation of key genes with prognostic value in non-small-cell lung cancer via integrated bioinformatics analysis.
    Wang L; Qu J; Liang Y; Zhao D; Rehman FU; Qin K; Zhang X
    Thorac Cancer; 2020 Apr; 11(4):851-866. PubMed ID: 32059076
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Determination of Potential Therapeutic Targets and Prognostic Markers of Ovarian Cancer by Bioinformatics Analysis.
    Zhang J; Huang S; Quan L; Meng Q; Wang H; Wang J; Chen J
    Biomed Res Int; 2021; 2021():8883800. PubMed ID: 33829065
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Bioinformatics analysis of mRNA and miRNA microarray to identify the key miRNA-mRNA pairs in cisplatin-resistant ovarian cancer.
    Xue B; Li S; Jin X; Liu L
    BMC Cancer; 2021 Apr; 21(1):452. PubMed ID: 33892654
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Identification of novel biomarkers, MUC5AC, MUC1, KRT7, GAPDH, CD44 for gastric cancer.
    Yang J
    Med Oncol; 2020 Mar; 37(5):34. PubMed ID: 32219571
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Identification of candidate aberrantly methylated and differentially expressed genes in thyroid cancer.
    Tu Y; Fan G; Xi H; Zeng T; Sun H; Cai X; Kong W
    J Cell Biochem; 2018 Nov; 119(11):8797-8806. PubMed ID: 30069928
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Identification of Differentially Expressed Genes Induced by Aberrant Methylation in Oral Squamous Cell Carcinomas Using Integrated Bioinformatic Analysis.
    Zhang X; Feng H; Li D; Liu S; Amizuka N; Li M
    Int J Mol Sci; 2018 Jun; 19(6):. PubMed ID: 29875348
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. Identification of breast cancer hub genes and analysis of prognostic values using integrated bioinformatics analysis.
    Fang E; Zhang X
    Cancer Biomark; 2017 Dec; 21(1):373-381. PubMed ID: 29081411
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.