BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

286 related articles for article (PubMed ID: 34143800)

  • 1. Identification and analysis of genes associated with epithelial ovarian cancer by integrated bioinformatics methods.
    Gui T; Yao C; Jia B; Shen K
    PLoS One; 2021; 16(6):e0253136. PubMed ID: 34143800
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Data Mining of Differentially Expressed Genes in Ovarian Epithelial Carcinoma: Implications in Precise Medicine.
    Zhao J; Gao H; He Y
    Curr Top Med Chem; 2021 Oct; 21(14):1285-1300. PubMed ID: 34238161
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 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. 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]  

  • 7. Gene expression profiles and pathway enrichment analysis to identification of differentially expressed gene and signaling pathways in epithelial ovarian cancer based on high-throughput RNA-seq data.
    Siavoshi A; Taghizadeh M; Dookhe E; Piran M
    Genomics; 2022 Jan; 114(1):161-170. PubMed ID: 34839022
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification and analysis of genes associated with head and neck squamous cell carcinoma by integrated bioinformatics methods.
    Jin Y; Yang Y
    Mol Genet Genomic Med; 2019 Aug; 7(8):e857. PubMed ID: 31304688
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Identification of Differentially Expressed Genes (DEGs) Relevant to Prognosis of Ovarian Cancer by Use of Integrated Bioinformatics Analysis and Validation by Immunohistochemistry Assay.
    Zhang L; Sun L; Zhang B; Chen L
    Med Sci Monit; 2019 Dec; 25():9902-9912. PubMed ID: 31871312
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Identification of potential markers for differentiating epithelial ovarian cancer from ovarian low malignant potential tumors through integrated bioinformatics analysis.
    Hao W; Zhao H; Li Z; Li J; Guo J; Chen Q; Gao Y; Ren M; Zhao X; Yue W
    J Ovarian Res; 2021 Mar; 14(1):46. PubMed ID: 33726773
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A bioinformatics analysis: ZFHX4 is associated with metastasis and poor survival in ovarian cancer.
    Zong S; Xu PP; Xu YH; Guo Y
    J Ovarian Res; 2022 Aug; 15(1):90. PubMed ID: 35915456
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Four genes relevant to pathological grade and prognosis in ovarian cancer.
    Pan X; Chen Y; Gao S
    Cancer Biomark; 2020; 29(2):169-178. PubMed ID: 32444534
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Exploration of the sequential gene changes in epithelial ovarian cancer induced by carboplatin via microarray analysis.
    Wei S; Liu J; Shi Y; Zhang X; Yang Y; Song Q
    Mol Med Rep; 2017 Sep; 16(3):3155-3160. PubMed ID: 28713952
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. Gene expression profiling of epithelial ovarian cancer reveals key genes and pathways associated with chemotherapy resistance.
    Zhang M; Luo SC
    Genet Mol Res; 2016 Jan; 15(1):. PubMed ID: 26909918
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Identification of Biomarkers for Ovarian Cancer Diagnosis and Prognosis by Bioinformatics Analysis and q-PCR Validation.
    Zheng Q; Ye H; Zhong H; Wang M
    Ann Clin Lab Sci; 2022 Nov; 52(6):967-975. PubMed ID: 36564071
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.