BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

215 related articles for article (PubMed ID: 29559730)

  • 1. An integrative bioinformatics approach reveals coding and non-coding gene variants associated with gene expression profiles and outcome in breast cancer molecular subtypes.
    Győrffy B; Pongor L; Bottai G; Li X; Budczies J; Szabó A; Hatzis C; Pusztai L; Santarpia L
    Br J Cancer; 2018 Apr; 118(8):1107-1114. PubMed ID: 29559730
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Integration of somatic mutation, expression and functional data reveals potential driver genes predictive of breast cancer survival.
    Suo C; Hrydziuszko O; Lee D; Pramana S; Saputra D; Joshi H; Calza S; Pawitan Y
    Bioinformatics; 2015 Aug; 31(16):2607-13. PubMed ID: 25810432
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Integrative analysis of protein-coding and non-coding RNAs identifies clinically relevant subtypes of clear cell renal cell carcinoma.
    Li Z; Chen Y; Hu S; Zhang J; Wu J; Ren W; Shao N; Ying X
    Oncotarget; 2016 Dec; 7(50):82671-82685. PubMed ID: 27705920
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Aberrant DNA methylation impacts gene expression and prognosis in breast cancer subtypes.
    Győrffy B; Bottai G; Fleischer T; Munkácsy G; Budczies J; Paladini L; Børresen-Dale AL; Kristensen VN; Santarpia L
    Int J Cancer; 2016 Jan; 138(1):87-97. PubMed ID: 26174627
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Combinatorial epigenetic regulation of non-coding RNAs has profound effects on oncogenic pathways in breast cancer subtypes.
    Xu J; Wang Z; Li S; Chen J; Zhang J; Jiang C; Zhao Z; Li J; Li Y; Li X
    Brief Bioinform; 2018 Jan; 19(1):52-64. PubMed ID: 27742663
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Association between FGFR1 copy numbers, MAP3K1 mutations, and survival in axillary node-positive, hormone receptor-positive, and HER2-negative early breast cancer in the PACS04 and METABRIC studies.
    Carene D; Tran-Dien A; Lemonnier J; Dalenc F; Levy C; Pierga JY; Jacot W; Canon JL; Richon C; Lacroix L; Caux C; André F; Michiels S
    Breast Cancer Res Treat; 2020 Jan; 179(2):387-401. PubMed ID: 31620934
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of Genes with Prognostic Value in the Breast Cancer Microenvironment Using Bioinformatics Analysis.
    Ren H; Hu D; Mao Y; Su X
    Med Sci Monit; 2020 Apr; 26():e920212. PubMed ID: 32251269
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Integrated Analysis of RNA and DNA from the Phase III Trial CALGB 40601 Identifies Predictors of Response to Trastuzumab-Based Neoadjuvant Chemotherapy in HER2-Positive Breast Cancer.
    Tanioka M; Fan C; Parker JS; Hoadley KA; Hu Z; Li Y; Hyslop TM; Pitcher BN; Soloway MG; Spears PA; Henry LN; Tolaney S; Dang CT; Krop IE; Harris LN; Berry DA; Mardis ER; Winer EP; Hudis CA; Carey LA; Perou CM
    Clin Cancer Res; 2018 Nov; 24(21):5292-5304. PubMed ID: 30037817
    [No Abstract]   [Full Text] [Related]  

  • 9. Targeted sequencing reveals the somatic mutation landscape in a Swedish breast cancer cohort.
    Mathioudaki A; Ljungström V; Melin M; Arendt ML; Nordin J; Karlsson Å; Murén E; Saksena P; Meadows JRS; Marinescu VD; Sjöblom T; Lindblad-Toh K
    Sci Rep; 2020 Nov; 10(1):19304. PubMed ID: 33168853
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A lymph node metastasis-related protein-coding genes combining with long noncoding RNA signature for breast cancer survival prediction.
    Sui Y; Ju C; Shao B
    J Cell Physiol; 2019 Nov; 234(11):20036-20045. PubMed ID: 30950057
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of Potential Biomarkers Involved in Gastric Cancer Through Integrated Analysis of Non-Coding RNA Associated Competing Endogenous RNAs Network.
    Xing C; Cai Z; Gong J; Zhou J; Xu J; Guo F
    Clin Lab; 2018 Oct; 64(10):1661-1669. PubMed ID: 30336538
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Targeted next-generation sequencing identifies clinically relevant somatic mutations in a large cohort of inflammatory breast cancer.
    Liang X; Vacher S; Boulai A; Bernard V; Baulande S; Bohec M; Bièche I; Lerebours F; Callens C
    Breast Cancer Res; 2018 Aug; 20(1):88. PubMed ID: 30086764
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of key candidate genes, pathways and related prognostic values in ER-negative/HER2-negative breast cancer by bioinformatics analysis.
    Shao N; Yuan K; Zhang Y; Yun Cheang T; Li J; Lin Y
    J BUON; 2018; 23(4):891-901. PubMed ID: 30358191
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Pseudogene-gene functional networks are prognostic of patient survival in breast cancer.
    Smerekanych S; Johnson TS; Huang K; Zhang Y
    BMC Med Genomics; 2020 Apr; 13(Suppl 5):51. PubMed ID: 32241256
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of key genes relevant to the prognosis of ER-positive and ER-negative breast cancer based on a prognostic prediction system.
    Xiao B; Hang J; Lei T; He Y; Kuang Z; Wang L; Chen L; He J; Zhang W; Liao Y; Sun Z; Li L
    Mol Biol Rep; 2019 Apr; 46(2):2111-2119. PubMed ID: 30888555
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Clinical implications of genomic profiles in metastatic breast cancer with a focus on TP53 and PIK3CA, the most frequently mutated genes.
    Kim JY; Lee E; Park K; Park WY; Jung HH; Ahn JS; Im YH; Park YH
    Oncotarget; 2017 Apr; 8(17):27997-28007. PubMed ID: 28427202
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Integrative molecular profiling identifies a novel cluster of estrogen receptor-positive breast cancer in very young women.
    Park C; Yoon KA; Kim J; Park IH; Park SJ; Kim MK; Jang W; Cho SY; Park B; Kong SY; Lee ES
    Cancer Sci; 2019 May; 110(5):1760-1770. PubMed ID: 30811755
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The Discovery of Novel Biomarkers Improves Breast Cancer Intrinsic Subtype Prediction and Reconciles the Labels in the METABRIC Data Set.
    Milioli HH; Vimieiro R; Riveros C; Tishchenko I; Berretta R; Moscato P
    PLoS One; 2015; 10(7):e0129711. PubMed ID: 26132585
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of differentially expressed genes between triple and non-triple-negative breast cancer using bioinformatics analysis.
    Zhai Q; Li H; Sun L; Yuan Y; Wang X
    Breast Cancer; 2019 Nov; 26(6):784-791. PubMed ID: 31197620
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Clinical outcome and global gene expression data support the existence of the estrogen receptor-negative/progesterone receptor-positive invasive breast cancer phenotype.
    Schroth W; Winter S; Büttner F; Goletz S; Faißt S; Brinkmann F; Saladores P; Heidemann E; Ott G; Gerteis A; Alscher MD; Dippon J; Schwab M; Brauch H; Fritz P
    Breast Cancer Res Treat; 2016 Jan; 155(1):85-97. PubMed ID: 26650824
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.