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Volumn 15, Issue , 2014, Pages

Characterization of a genetic mouse model of lung cancer: A promise to identify Non-Small Cell Lung Cancer therapeutic targets and biomarkers

Author keywords

[No Author keywords available]

Indexed keywords

ADENOSINE A3 RECEPTOR; GRANULOCYTE MACROPHAGE COLONY STIMULATING FACTOR; OSTEOPONTIN; SPP1 PROTEIN, HUMAN; TRANSCRIPTOME; TUMOR MARKER;

EID: 84925883745     PISSN: None     EISSN: 14712164     Source Type: Journal    
DOI: 10.1186/1471-2164-15-S3-S1     Document Type: Article
Times cited : (18)

References (54)
  • 1
    • 79551613522 scopus 로고    scopus 로고
    • Lung cancer in 2010: One size does not fit all
    • Lovly CM, Carbone DP: Lung cancer in 2010: One size does not fit all. Nat Rev Clin Oncol 2011, 8(2):68-70.
    • (2011) Nat Rev Clin Oncol , vol.8 , Issue.2 , pp. 68-70
    • Lovly, C.M.1    Carbone, D.P.2
  • 4
    • 75749097259 scopus 로고    scopus 로고
    • Targeted therapies for non-small cell lung cancer
    • Dempke WC, Suto T, Reck M: Targeted therapies for non-small cell lung cancer. Lung Cancer 2010, 67(3):257-274.
    • (2010) Lung Cancer , vol.67 , Issue.3 , pp. 257-274
    • Dempke, W.C.1    Suto, T.2    Reck, M.3
  • 5
    • 34249803223 scopus 로고    scopus 로고
    • Biomarkers for lung cancer: clinical uses
    • Greenberg AK, Lee MS: Biomarkers for lung cancer: clinical uses. Curr Opin Pulm Med 2007, 13(4):249-255.
    • (2007) Curr Opin Pulm Med , vol.13 , Issue.4 , pp. 249-255
    • Greenberg, A.K.1    Lee, M.S.2
  • 6
    • 53349177489 scopus 로고    scopus 로고
    • Biomarkers for the lung cancer diagnosis and their advances in proteomics
    • Sung HJ, Cho JY: Biomarkers for the lung cancer diagnosis and their advances in proteomics. BMB Rep 2008, 41(9):615-625.
    • (2008) BMB Rep , vol.41 , Issue.9 , pp. 615-625
    • Sung, H.J.1    Cho, J.Y.2
  • 7
    • 80155190075 scopus 로고    scopus 로고
    • Biomarkers, Prediction, and Prognosis in Non-Small-Cell Lung Cancer: A Platform for Personalized Treatment
    • Sudhindra A, Ochoa R, Santos ES: Biomarkers, Prediction, and Prognosis in Non-Small-Cell Lung Cancer: A Platform for Personalized Treatment. Clin Lung Cancer 2011.
    • (2011) Clin Lung Cancer
    • Sudhindra, A.1    Ochoa, R.2    Santos, E.S.3
  • 8
    • 34548283459 scopus 로고    scopus 로고
    • Are oncoantigens suitable targets for anti-tumour therapy?
    • Cavallo F, Calogero RA, Forni G: Are oncoantigens suitable targets for anti-tumour therapy? Nat Rev Cancer 2007, 7(9):707-713.
    • (2007) Nat Rev Cancer , vol.7 , Issue.9 , pp. 707-713
    • Cavallo, F.1    Calogero, R.A.2    Forni, G.3
  • 12
    • 35349020997 scopus 로고    scopus 로고
    • A genetic mouse model for metastatic lung cancer with gender differences in survival
    • Zheng S, El-Naggar AK, Kim ES, Kurie JM, Lozano G: A genetic mouse model for metastatic lung cancer with gender differences in survival. Oncogene 2007, 26(48):6896-6904.
    • (2007) Oncogene , vol.26 , Issue.48 , pp. 6896-6904
    • Zheng, S.1    El-Naggar, A.K.2    Kim, E.S.3    Kurie, J.M.4    Lozano, G.5
  • 15
    • 0346094368 scopus 로고    scopus 로고
    • Cooperation between PKC-alpha and PKC-epsilon in the regulation of JNK activation in human lung cancer cells
    • Lang W, Wang H, Ding L, Xiao L: Cooperation between PKC-alpha and PKC-epsilon in the regulation of JNK activation in human lung cancer cells. Cell Signal 2004, 16(4):457-467.
    • (2004) Cell Signal , vol.16 , Issue.4 , pp. 457-467
    • Lang, W.1    Wang, H.2    Ding, L.3    Xiao, L.4
  • 17
    • 0038823773 scopus 로고    scopus 로고
    • Aspartic proteinase napsin is a useful marker for diagnosis of primary lung adenocarcinoma
    • Ueno T, Linder S, Elmberger G: Aspartic proteinase napsin is a useful marker for diagnosis of primary lung adenocarcinoma. Br J Cancer 2003, 88(8):1229-1233.
    • (2003) Br J Cancer , vol.88 , Issue.8 , pp. 1229-1233
    • Ueno, T.1    Linder, S.2    Elmberger, G.3
  • 22
    • 80054003528 scopus 로고    scopus 로고
    • ChimeraScan: a tool for identifying chimeric transcription in sequencing data
    • Iyer MK, Chinnaiyan AM, Maher CA: ChimeraScan: a tool for identifying chimeric transcription in sequencing data. Bioinformatics 2011, 27(20):2903-2904.
    • (2011) Bioinformatics , vol.27 , Issue.20 , pp. 2903-2904
    • Iyer, M.K.1    Chinnaiyan, A.M.2    Maher, C.A.3
  • 24
    • 84865527768 scopus 로고    scopus 로고
    • Detecting differential usage of exons from RNA-seq data
    • Anders S, Reyes A, Huber W: Detecting differential usage of exons from RNA-seq data. Genome research 2012, 22(10):2008-2017.
    • (2012) Genome research , vol.22 , Issue.10 , pp. 2008-2017
    • Anders, S.1    Reyes, A.2    Huber, W.3
  • 25
    • 77958471357 scopus 로고    scopus 로고
    • Differential expression analysis for sequence count data
    • Anders S, Huber W: Differential expression analysis for sequence count data. Genome biology 2010, 11(10):R106.
    • (2010) Genome biology , vol.11 , Issue.10 , pp. R106
    • Anders, S.1    Huber, W.2
  • 26
    • 77957604073 scopus 로고    scopus 로고
    • 2010 TNM system: on the 7th edition of TNM classification of malignant tumors
    • Wittekind C: [2010 TNM system: on the 7th edition of TNM classification of malignant tumors]. Der Pathologe 2010, 31(5):331-332.
    • (2010) Der Pathologe , vol.31 , Issue.5 , pp. 331-332
    • Wittekind, C.1
  • 29
    • 84862150896 scopus 로고    scopus 로고
    • Tumor-derived granulocyte-macrophage colonystimulating factor regulates myeloid inflammation and T cell immunity in pancreatic cancer
    • Bayne LJ, Beatty GL, Jhala N, Clark CE, Rhim AD, Stanger BZ, Vonderheide RH: Tumor-derived granulocyte-macrophage colonystimulating factor regulates myeloid inflammation and T cell immunity in pancreatic cancer. Cancer cell 2012, 21(6):822-835.
    • (2012) Cancer cell , vol.21 , Issue.6 , pp. 822-835
    • Bayne, L.J.1    Beatty, G.L.2    Jhala, N.3    Clark, C.E.4    Rhim, A.D.5    Stanger, B.Z.6    Vonderheide, R.H.7
  • 30
    • 84862147254 scopus 로고    scopus 로고
    • Oncogenic Krasinduced GM-CSF production promotes the development of pancreatic neoplasia
    • Pylayeva-Gupta Y, Lee KE, Hajdu CH, Miller G, Bar-Sagi D: Oncogenic Krasinduced GM-CSF production promotes the development of pancreatic neoplasia. Cancer cell 2012, 21(6):836-847.
    • (2012) Cancer cell , vol.21 , Issue.6 , pp. 836-847
    • Pylayeva-Gupta, Y.1    Lee, K.E.2    Hajdu, C.H.3    Miller, G.4    Bar-Sagi, D.5
  • 34
    • 33744930583 scopus 로고    scopus 로고
    • Userguided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability
    • Yushkevich PA, Piven J, Hazlett HC, Smith RG, Ho S, Gee JC, Gerig G: Userguided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage 2006, 31(3):1116-1128.
    • (2006) Neuroimage , vol.31 , Issue.3 , pp. 1116-1128
    • Yushkevich, P.A.1    Piven, J.2    Hazlett, H.C.3    Smith, R.G.4    Ho, S.5    Gee, J.C.6    Gerig, G.7
  • 35
    • 36949003693 scopus 로고    scopus 로고
    • oneChannelGUI: a graphical interface to Bioconductor tools, designed for life scientists who are not familiar with R language
    • Sanges R, Cordero F, Calogero RA: oneChannelGUI: a graphical interface to Bioconductor tools, designed for life scientists who are not familiar with R language. Bioinformatics 2007, 23(24):3406-3408.
    • (2007) Bioinformatics , vol.23 , Issue.24 , pp. 3406-3408
    • Sanges, R.1    Cordero, F.2    Calogero, R.A.3
  • 37
    • 0037316303 scopus 로고    scopus 로고
    • A comparison of normalization methods for high density oligonucleotide array data based on variance and bias
    • Bolstad BM, Irizarry RA, Astrand M, Speed TP: A comparison of normalization methods for high density oligonucleotide array data based on variance and bias. Bioinformatics 2003, 19(2):185-193.
    • (2003) Bioinformatics , vol.19 , Issue.2 , pp. 185-193
    • Bolstad, B.M.1    Irizarry, R.A.2    Astrand, M.3    Speed, T.P.4
  • 38
    • 33646147811 scopus 로고    scopus 로고
    • maSigPro: a method to identify significantly differential expression profiles in time-course microarray experiments
    • Conesa A, Nueda MJ, Ferrer A, Talon M: maSigPro: a method to identify significantly differential expression profiles in time-course microarray experiments. Bioinformatics 2006, 22(9):1096-1102.
    • (2006) Bioinformatics , vol.22 , Issue.9 , pp. 1096-1102
    • Conesa, A.1    Nueda, M.J.2    Ferrer, A.3    Talon, M.4
  • 49
    • 0022326912 scopus 로고
    • A Cox regression model for the relative mortality and its application to diabetes mellitus survival data
    • Andersen PK, Borch-Johnsen K, Deckert T, Green A, Hougaard P, Keiding N, Kreiner S: A Cox regression model for the relative mortality and its application to diabetes mellitus survival data. Biometrics 1985, 41(4):921-932.
    • (1985) Biometrics , vol.41 , Issue.4 , pp. 921-932
    • Andersen, P.K.1    Borch-Johnsen, K.2    Deckert, T.3    Green, A.4    Hougaard, P.5    Keiding, N.6    Kreiner, S.7
  • 50
    • 33748208652 scopus 로고
    • A class of rank test procedures for censored survival data
    • Harrington DP FT: A class of rank test procedures for censored survival data. Biometrika 1982, 69:553-566.
    • (1982) Biometrika , vol.69 , pp. 553-566
    • Harrington, D.P.1    Fleming, T.2
  • 51
    • 0026651127 scopus 로고
    • Interventional uroradiology today
    • Thomsen HS, Dorph S: Interventional uroradiology today. Annals of medicine 1992, 24(3):167-169.
    • (1992) Annals of medicine , vol.24 , Issue.3 , pp. 167-169
    • Thomsen, H.S.1    Dorph, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.