BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

385 related articles for article (PubMed ID: 32444534)

  • 1. 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]  

  • 2. 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]  

  • 3. Molecular profiling of mucinous epithelial ovarian cancer by weighted gene co-expression network analysis.
    Zhang GH; Chen MM; Kai JY; Ma Q; Zhong AL; Xie SH; Zheng H; Wang YC; Tong Y; Lu RQ; Guo L
    Gene; 2019 Aug; 709():56-64. PubMed ID: 31108164
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Construction of a ceRNA network of hub genes affecting immune infiltration in ovarian cancer identified by WGCNA.
    Su R; Jin C; Zhou L; Cao Y; Kuang M; Li L; Xiang J
    BMC Cancer; 2021 Aug; 21(1):970. PubMed ID: 34461858
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The Role of PDZ Binding Kinase as a Potential Prognostic and Diagnostic Biomarker in Ovarian Cancer.
    Li C; Lyu Y; Liu C; Yin S
    Cancer Biother Radiopharm; 2022 Sep; 37(7):569-579. PubMed ID: 33794097
    [No Abstract]   [Full Text] [Related]  

  • 6. Gene co-expression network reveals shared modules predictive of stage and grade in serous ovarian cancers.
    Sun Q; Zhao H; Zhang C; Hu T; Wu J; Lin X; Luo D; Wang C; Meng L; Xi L; Li K; Hu J; Ma D; Zhu T
    Oncotarget; 2017 Jun; 8(26):42983-42996. PubMed ID: 28562334
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Analysis in epithelial ovarian cancer identifies KANSL1 as a biomarker and target gene for immune response and HDAC inhibition.
    Fejzo MS; Chen HW; Anderson L; McDermott MS; Karlan B; Konecny GE; Slamon DJ
    Gynecol Oncol; 2021 Feb; 160(2):539-546. PubMed ID: 33229045
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Identification of pathological grade and prognosis-associated lncRNA for ovarian cancer.
    Chen Y; Bi F; An Y; Yang Q
    J Cell Biochem; 2019 Sep; 120(9):14444-14454. PubMed ID: 31034644
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. 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]  

  • 13. Identification of metastasis and prognosis-associated genes for serous ovarian cancer.
    Yang Y; Qi S; Shi C; Han X; Yu J; Zhang L; Qin S; Gao Y
    Biosci Rep; 2020 Jun; 40(6):. PubMed ID: 32510146
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Potential four‑miRNA signature associated with T stage and prognosis of patients with pancreatic ductal adenocarcinoma identified by co‑expression analysis.
    You L; Wang J; Zhang F; Zhang J; Tao H; Zheng X; Hu Y
    Mol Med Rep; 2019 Jan; 19(1):441-451. PubMed ID: 30483731
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Identifying the hub genes in non-small cell lung cancer by integrated bioinformatics methods and analyzing the prognostic values.
    Wang T; Chen X; Jing F; Li Z; Tan H; Luo Y; Shi H
    Pathol Res Pract; 2021 Dec; 228():153654. PubMed ID: 34749208
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Integrated weighted gene co-expression network analysis reveals biomarkers associated with prognosis of high-grade serous ovarian cancer.
    Wang B; Chao S; Guo B
    J Clin Lab Anal; 2022 Feb; 36(2):e24165. PubMed ID: 34997982
    [TBL] [Abstract][Full Text] [Related]  

  • 20. SLC7A2 serves as a potential biomarker and therapeutic target for ovarian cancer.
    Sun T; Bi F; Liu Z; Yang Q
    Aging (Albany NY); 2020 Jul; 12(13):13281-13296. PubMed ID: 32647070
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 20.