BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

155 related articles for article (PubMed ID: 31275959)

  • 1. Integrative Network Analysis Reveals a MicroRNA-Based Signature for Prognosis Prediction of Epithelial Ovarian Cancer.
    Li L; Gu H; Chen L; Zhu P; Zhao L; Wang Y; Zhao X; Zhang X; Zhang Y; Shu P
    Biomed Res Int; 2019; 2019():1056431. PubMed ID: 31275959
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Integrative network analysis identifies an immune-based prognostic signature as the determinant for the mesenchymal subtype in epithelial ovarian cancer.
    Sheng M; Tong H; Lu X; Shanshan N; Zhang X; Reddy BA; Shu P
    Medicine (Baltimore); 2020 Oct; 99(41):e22549. PubMed ID: 33031300
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Development and validation of a microRNA-based signature (MiROvaR) to predict early relapse or progression of epithelial ovarian cancer: a cohort study.
    Bagnoli M; Canevari S; Califano D; Losito S; Maio MD; Raspagliesi F; Carcangiu ML; Toffoli G; Cecchin E; Sorio R; Canzonieri V; Russo D; Scognamiglio G; Chiappetta G; Baldassarre G; Lorusso D; Scambia G; Zannoni GF; Savarese A; Carosi M; Scollo P; Breda E; Murgia V; Perrone F; Pignata S; De Cecco L; Mezzanzanica D;
    Lancet Oncol; 2016 Aug; 17(8):1137-1146. PubMed ID: 27402147
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Integrative network biology analysis identifies miR-508-3p as the determinant for the mesenchymal identity and a strong prognostic biomarker of ovarian cancer.
    Zhao L; Wang W; Xu L; Yi T; Zhao X; Wei Y; Vermeulen L; Goel A; Zhou S; Wang X
    Oncogene; 2019 Mar; 38(13):2305-2319. PubMed ID: 30478449
    [TBL] [Abstract][Full Text] [Related]  

  • 5. MicroRNA Expression Profiling of Epithelial Ovarian Cancer Identifies New Markers of Tumor Subtype.
    Rattanapan Y; Korkiatsakul V; Kongruang A; Siriboonpiputtana T; Rerkamnuaychoke B; Chareonsirisuthigul T
    Microrna; 2020; 9(4):289-294. PubMed ID: 32703147
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Fifteen-MiRNA-Based Signature Is a Reliable Prognosis-Predicting Tool for Prostate Cancer Patients.
    Bian Z; Huang X; Chen Y; Meng J; Feng X; Zhang M; Zhang L; Zhou J; Liang C
    Int J Med Sci; 2021; 18(1):284-294. PubMed ID: 33390797
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prognostic value of a microRNA signature in nasopharyngeal carcinoma: a microRNA expression analysis.
    Liu N; Chen NY; Cui RX; Li WF; Li Y; Wei RR; Zhang MY; Sun Y; Huang BJ; Chen M; He QM; Jiang N; Chen L; Cho WC; Yun JP; Zeng J; Liu LZ; Li L; Guo Y; Wang HY; Ma J
    Lancet Oncol; 2012 Jun; 13(6):633-41. PubMed ID: 22560814
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Development and validation of GMI signature based random survival forest prognosis model to predict clinical outcome in acute myeloid leukemia.
    Shi M; Xu G
    BMC Med Genomics; 2019 Jun; 12(1):90. PubMed ID: 31242922
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A prognostic regulatory pathway in stage I epithelial ovarian cancer: new hints for the poor prognosis assessment.
    Calura E; Paracchini L; Fruscio R; DiFeo A; Ravaggi A; Peronne J; Martini P; Sales G; Beltrame L; Bignotti E; Tognon G; Milani R; Clivio L; Dell'Anna T; Cattoretti G; Katsaros D; Sartori E; Mangioni C; Ardighieri L; D'Incalci M; Marchini S; Romualdi C
    Ann Oncol; 2016 Aug; 27(8):1511-9. PubMed ID: 27194815
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of lncRNA-miRNA-mRNA regulatory network associated with epithelial ovarian cancer cisplatin-resistant.
    Zhao X; Tang DY; Zuo X; Zhang TD; Wang C
    J Cell Physiol; 2019 Nov; 234(11):19886-19894. PubMed ID: 30950060
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Association between miR-200c and the survival of patients with stage I epithelial ovarian cancer: a retrospective study of two independent tumour tissue collections.
    Marchini S; Cavalieri D; Fruscio R; Calura E; Garavaglia D; Fuso Nerini I; Mangioni C; Cattoretti G; Clivio L; Beltrame L; Katsaros D; Scarampi L; Menato G; Perego P; Chiorino G; Buda A; Romualdi C; D'Incalci M
    Lancet Oncol; 2011 Mar; 12(3):273-85. PubMed ID: 21345725
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prognostic microRNA/mRNA signature from the integrated analysis of patients with invasive breast cancer.
    Volinia S; Croce CM
    Proc Natl Acad Sci U S A; 2013 Apr; 110(18):7413-7. PubMed ID: 23589849
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A robust six-miRNA prognostic signature for head and neck squamous cell carcinoma.
    Zhao X; Cui L
    J Cell Physiol; 2020 Nov; 235(11):8799-8811. PubMed ID: 32342519
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification and validation of potential prognostic and predictive miRNAs of epithelial ovarian cancer.
    Prahm KP; Høgdall C; Karlsen MA; Christensen IJ; Novotny GW; Høgdall E
    PLoS One; 2018; 13(11):e0207319. PubMed ID: 30475821
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Robust Circular RNA-Associated Three-Gene Prognostic Signature for Patients with Gastric Cancer.
    Li Y; Li R; Wang X; Yuan Y; Zhang Y
    Biomed Res Int; 2021; 2021():6633289. PubMed ID: 33969120
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prognostic value of a microRNA signature as a novel biomarker in patients with lower-grade gliomas.
    Qian Z; Li Y; Fan X; Zhang C; Wang Y; Jiang T; Liu X
    J Neurooncol; 2018 Mar; 137(1):127-137. PubMed ID: 29204839
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Validation of MiROvaR, a microRNA-based predictor of early relapse in early stage epithelial ovarian cancer as a new strategy to optimise patients' prognostic assessment.
    Ditto A; De Cecco L; Paolini B; Alberti P; Martinelli F; Leone Roberti Maggiore U; Bogani G; Chiodini P; Pignata S; Tomassetti A; Raspagliesi F; Mezzanzanica D; Bagnoli M
    Eur J Cancer; 2022 Jan; 161():55-63. PubMed ID: 34922264
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An eight-lncRNA signature predicts survival of breast cancer patients: a comprehensive study based on weighted gene co-expression network analysis and competing endogenous RNA network.
    Sun M; Wu D; Zhou K; Li H; Gong X; Wei Q; Du M; Lei P; Zha J; Zhu H; Gu X; Huang D
    Breast Cancer Res Treat; 2019 May; 175(1):59-75. PubMed ID: 30715658
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A four-miRNA signature identified from genome-wide serum miRNA profiling predicts survival in patients with nasopharyngeal carcinoma.
    Liu N; Cui RX; Sun Y; Guo R; Mao YP; Tang LL; Jiang W; Liu X; Cheng YK; He QM; Cho WC; Liu LZ; Li L; Ma J
    Int J Cancer; 2014 Mar; 134(6):1359-68. PubMed ID: 23999999
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Systematic analysis of lncRNA-miRNA-mRNA competing endogenous RNA network identifies four-lncRNA signature as a prognostic biomarker for breast cancer.
    Fan CN; Ma L; Liu N
    J Transl Med; 2018 Sep; 16(1):264. PubMed ID: 30261893
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.