BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

336 related articles for article (PubMed ID: 24440656)

  • 1. Improving the prediction of chemotherapeutic sensitivity of tumors in breast cancer via optimizing the selection of candidate genes.
    Jiang L; Huang L; Kuang Q; Zhang J; Li M; Wen Z; He L
    Comput Biol Chem; 2014 Apr; 49():71-8. PubMed ID: 24440656
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Mixture classification model based on clinical markers for breast cancer prognosis.
    Zeng T; Liu J
    Artif Intell Med; 2010; 48(2-3):129-37. PubMed ID: 20005686
    [TBL] [Abstract][Full Text] [Related]  

  • 3. PPAR signaling pathway may be an important predictor of breast cancer response to neoadjuvant chemotherapy.
    Chen YZ; Xue JY; Chen CM; Yang BL; Xu QH; Wu F; Liu F; Ye X; Meng X; Liu GY; Shen ZZ; Shao ZM; Wu J
    Cancer Chemother Pharmacol; 2012 Nov; 70(5):637-44. PubMed ID: 22903535
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Gene expression profiles of breast cancer obtained from core cut biopsies before neoadjuvant docetaxel, adriamycin, and cyclophoshamide chemotherapy correlate with routine prognostic markers and could be used to identify predictive signatures.
    Rody A; Karn T; Gätje R; Kourtis K; Minckwitz G; Loibl S; Munnes M; Ruckhäberle E; Holtrich U; Kaufmann M; Ahr A
    Zentralbl Gynakol; 2006 Apr; 128(2):76-81. PubMed ID: 16673249
    [TBL] [Abstract][Full Text] [Related]  

  • 5. cDNA microarray analysis of isogenic paclitaxel- and doxorubicin-resistant breast tumor cell lines reveals distinct drug-specific genetic signatures of resistance.
    Villeneuve DJ; Hembruff SL; Veitch Z; Cecchetto M; Dew WA; Parissenti AM
    Breast Cancer Res Treat; 2006 Mar; 96(1):17-39. PubMed ID: 16322897
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Pharmacogenomic predictor of sensitivity to preoperative chemotherapy with paclitaxel and fluorouracil, doxorubicin, and cyclophosphamide in breast cancer.
    Hess KR; Anderson K; Symmans WF; Valero V; Ibrahim N; Mejia JA; Booser D; Theriault RL; Buzdar AU; Dempsey PJ; Rouzier R; Sneige N; Ross JS; Vidaurre T; Gómez HL; Hortobagyi GN; Pusztai L
    J Clin Oncol; 2006 Sep; 24(26):4236-44. PubMed ID: 16896004
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction of pathologic complete response to sequential paclitaxel and 5-fluorouracil/epirubicin/cyclophosphamide therapy using a 70-gene classifier for breast cancers.
    Naoi Y; Kishi K; Tanei T; Tsunashima R; Tominaga N; Baba Y; Kim SJ; Taguchi T; Tamaki Y; Noguchi S
    Cancer; 2011 Aug; 117(16):3682-90. PubMed ID: 21305539
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predicting breast cancer chemotherapeutic response using a novel tool for microarray data analysis.
    Cheng J; Greshock J; Painter J; Lin X; Lee K; Zheng S; Menius A
    J Integr Bioinform; 2012 Aug; 9(2):209. PubMed ID: 22859439
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Differentially expressed genes of LPS febrile symptom in rabbits and that treated with Bai-Hu-tang, a classical anti-febrile Chinese herb formula.
    Zhang S; Wang D; Dong S; Yang F; Yan Z
    J Ethnopharmacol; 2015 Jul; 169():130-7. PubMed ID: 25916597
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Investigating the concordance of Gene Ontology terms reveals the intra- and inter-platform reproducibility of enrichment analysis.
    Zhang L; Zhang J; Yang G; Wu D; Jiang L; Wen Z; Li M
    BMC Bioinformatics; 2013 Apr; 14():143. PubMed ID: 23627640
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Challenges in projecting clustering results across gene expression-profiling datasets.
    Lusa L; McShane LM; Reid JF; De Cecco L; Ambrogi F; Biganzoli E; Gariboldi M; Pierotti MA
    J Natl Cancer Inst; 2007 Nov; 99(22):1715-23. PubMed ID: 18000217
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Insights into significant pathways and gene interaction networks underlying breast cancer cell line MCF-7 treated with 17β-estradiol (E2).
    Huan J; Wang L; Xing L; Qin X; Feng L; Pan X; Zhu L
    Gene; 2014 Jan; 533(1):346-55. PubMed ID: 23978611
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Selection of differentially expressed genes in microarray data analysis.
    Chen JJ; Wang SJ; Tsai CA; Lin CJ
    Pharmacogenomics J; 2007 Jun; 7(3):212-20. PubMed ID: 16940966
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Molecular prediction of the therapeutic response to neoadjuvant chemotherapy in breast cancer.
    Nagasaki K; Miki Y
    Breast Cancer; 2008; 15(2):117-20. PubMed ID: 18274834
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting response to docetaxel neoadjuvant chemotherapy for advanced breast cancers through genome-wide gene expression profiling.
    Zembutsu H; Suzuki Y; Sasaki A; Tsunoda T; Okazaki M; Yoshimoto M; Hasegawa T; Hirata K; Nakamura Y
    Int J Oncol; 2009 Feb; 34(2):361-70. PubMed ID: 19148470
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting features of breast cancer with gene expression patterns.
    Lu X; Lu X; Wang ZC; Iglehart JD; Zhang X; Richardson AL
    Breast Cancer Res Treat; 2008 Mar; 108(2):191-201. PubMed ID: 18297396
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Exquisite sensitivity of TP53 mutant and basal breast cancers to a dose-dense epirubicin-cyclophosphamide regimen.
    Bertheau P; Turpin E; Rickman DS; Espié M; de Reyniès A; Feugeas JP; Plassa LF; Soliman H; Varna M; de Roquancourt A; Lehmann-Che J; Beuzard Y; Marty M; Misset JL; Janin A; de Thé H
    PLoS Med; 2007 Mar; 4(3):e90. PubMed ID: 17388661
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A candidate molecular signature associated with tamoxifen failure in primary breast cancer.
    Vendrell JA; Robertson KE; Ravel P; Bray SE; Bajard A; Purdie CA; Nguyen C; Hadad SM; Bieche I; Chabaud S; Bachelot T; Thompson AM; Cohen PA
    Breast Cancer Res; 2008; 10(5):R88. PubMed ID: 18928543
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studies.
    Shi L; Jones WD; Jensen RV; Harris SC; Perkins RG; Goodsaid FM; Guo L; Croner LJ; Boysen C; Fang H; Qian F; Amur S; Bao W; Barbacioru CC; Bertholet V; Cao XM; Chu TM; Collins PJ; Fan XH; Frueh FW; Fuscoe JC; Guo X; Han J; Herman D; Hong H; Kawasaki ES; Li QZ; Luo Y; Ma Y; Mei N; Peterson RL; Puri RK; Shippy R; Su Z; Sun YA; Sun H; Thorn B; Turpaz Y; Wang C; Wang SJ; Warrington JA; Willey JC; Wu J; Xie Q; Zhang L; Zhang L; Zhong S; Wolfinger RD; Tong W
    BMC Bioinformatics; 2008 Aug; 9 Suppl 9(Suppl 9):S10. PubMed ID: 18793455
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of gene transcript signatures predictive for estrogen receptor and lymph node status using a stepwise forward selection artificial neural network modelling approach.
    Lancashire LJ; Rees RC; Ball GR
    Artif Intell Med; 2008 Jun; 43(2):99-111. PubMed ID: 18420392
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.