메뉴 건너뛰기




Volumn 5, Issue , 2015, Pages

Deciphering genomic underpinnings of quantitative MRI-based radiomic phenotypes of invasive breast carcinoma

Author keywords

[No Author keywords available]

Indexed keywords

MICRORNA;

EID: 84949527829     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep17787     Document Type: Article
Times cited : (143)

References (46)
  • 1
    • 84864349266 scopus 로고    scopus 로고
    • Non-small cell lung cancer: Identifying prognostic imaging biomarkers by leveraging public gene expression microarray data-methods and preliminary results
    • Gevaert, O. et al. Non-small cell lung cancer: identifying prognostic imaging biomarkers by leveraging public gene expression microarray data-methods and preliminary results. Radiology 264, 387-296, doi: 10.1148/radiol.12111607 (2012
    • (2012) Radiology , vol.264 , pp. 387-396
    • Gevaert, O.1
  • 2
    • 84901946941 scopus 로고    scopus 로고
    • Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
    • Aerts, H. J. W. L. et al. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat. Commun. 5, doi: 10.1038/ncomms 5006 (2014
    • (2014) Nat. Commun , vol.5 , pp. 5006
    • Aerts, H.J.W.L.1
  • 3
    • 84893454823 scopus 로고    scopus 로고
    • Illuminating radiogenomic characteristics of glioblastoma multiforme through integration of MR imaging, messenger RNA expression, and DNA copy number variation
    • Jamshidi, N., Diehn, M., Bredel, M. & Kuo, M. D. Illuminating radiogenomic characteristics of glioblastoma multiforme through integration of MR imaging, messenger RNA expression, and DNA copy number variation. Radiology 270, 212-222, doi: 10.1148/ radiol.13130078 (2014
    • (2014) Radiology , vol.270 , pp. 212-222
    • Jamshidi, N.1    Diehn, M.2    Bredel, M.3    Kuo, M.D.4
  • 4
    • 84893482700 scopus 로고    scopus 로고
    • Radiogenomics of clear cell renal cell carcinoma: Associations between CT imaging features and mutations
    • Karlo, C. A. et al. Radiogenomics of clear cell renal cell carcinoma: associations between CT imaging features and mutations. Radiology 270, 464-471, doi: 10.1148/radiol.13130663 (2014
    • (2014) Radiology , vol.270 , pp. 464-471
    • Karlo, C.A.1
  • 5
    • 84865577667 scopus 로고    scopus 로고
    • Radiogenomic analysis of breast cancer using MRI: A preliminary study to define the landscape
    • Yamamoto, S., Maki, D. D., Korn, R. L. & Kuo, M. D. Radiogenomic analysis of breast cancer using MRI: a preliminary study to define the landscape. Am. J. Roentgenol. 199, 654-663, doi: 10.2214/AJR.11.7824 (2012
    • (2012) Am. J. Roentgenol , vol.199 , pp. 654-663
    • Yamamoto, S.1    Maki, D.D.2    Korn, R.L.3    Kuo, M.D.4
  • 6
    • 84910089469 scopus 로고    scopus 로고
    • Radiogenomic analysis of breast cancer: Luminal B molecular subtype is associated with enhancement dynamics at MR imaging
    • Mazurowski, M. A., Zhang, J., Grimm, L. J., Yoon, S. C. & Silber, J. I. Radiogenomic analysis of breast cancer: luminal B molecular subtype is associated with enhancement dynamics at MR imaging. Radiology 273, 365-372, doi: 10.1148/radiol.14132641 (2014
    • (2014) Radiology , vol.273 , pp. 365-372
    • Mazurowski, M.A.1    Zhang, J.2    Grimm, L.J.3    Yoon, S.C.4    Silber, J.I.5
  • 7
    • 84904989007 scopus 로고    scopus 로고
    • Identification of intrinsic imaging phenotypes for breast cancer tumors: Preliminary associations with gene expression profiles
    • Ashraf, A. B. et al. Identification of intrinsic imaging phenotypes for breast cancer tumors: preliminary associations with gene expression profiles. Radiology 272, 374-384, doi: 10.1148/radiol.14131375 (2014
    • (2014) Radiology , vol.272 , pp. 374-384
    • Ashraf, A.B.1
  • 8
    • 84903729546 scopus 로고    scopus 로고
    • Computerized image analysis for identifying triple-negative breast cancers and differentiating them from other molecular subtypes of breast cancer on dynamic contrast-enhanced MR images: A feasibility study
    • Agner, S. C. et al. Computerized image analysis for identifying triple-negative breast cancers and differentiating them from other molecular subtypes of breast cancer on dynamic contrast-enhanced MR images: a feasibility study. Radiology 272, 91-99, doi: 10.1148/radiol.14121031 (2014
    • (2014) Radiology , vol.272 , pp. 91-99
    • Agner, S.C.1
  • 9
    • 84896773060 scopus 로고    scopus 로고
    • Pilot study demonstrating potential association between breast cancer image-based risk phenotypes and genomic biomarkers
    • Li, H. et al. Pilot study demonstrating potential association between breast cancer image-based risk phenotypes and genomic biomarkers. Med. Phys. 41, doi: 10.1118/1.4865811 (2014
    • (2014) Med. Phys , vol.41
    • Li, H.1
  • 10
    • 85008696097 scopus 로고    scopus 로고
    • Comparative analysis of image-based phenotypes of mammographic density and parenchymal patterns in distinguishing between BRCA1/2 cases unilateral cancer cases, and controls
    • Li, H., Giger, M. L., Lan, L., Janardanan, J. & Sennett, C. A. Comparative analysis of image-based phenotypes of mammographic density and parenchymal patterns in distinguishing between BRCA1/2 cases, unilateral cancer cases, and controls. J. Med. Imaging 1, doi: 10.1117/1.JMI.1.3.031009 (2014
    • (2014) J. Med. Imaging 1
    • Li, H.1    Giger, M.L.2    Lan, L.3    Janardanan, J.4    Sennett, C.A.5
  • 11
    • 84910051472 scopus 로고    scopus 로고
    • Relationships between computer-extracted mammographic texture pattern features and BRCA1/2 mutation status: A cross-sectional study
    • Gierach, G. L. et al. Relationships between computer-extracted mammographic texture pattern features and BRCA1/2 mutation status: a cross-sectional study. Breast Cancer Res. 16, 424, doi: 10.1186/s13058-014-0424-8 (2014
    • (2014) Breast Cancer Res , vol.16 , pp. 424
    • Gierach, G.L.1
  • 12
    • 84888198904 scopus 로고    scopus 로고
    • The Cancer Imaging Archive (TCIA): Maintaining and operating a public information repository
    • Clark, K. et al. The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository. J. Digit. Imaging 26, 1045-1057, doi: 10.1007/s10278-013-9622-7 (2013
    • (2013) J. Digit. Imaging , vol.26 , pp. 1045-1057
    • Clark, K.1
  • 13
    • 84877028141 scopus 로고    scopus 로고
    • Comprehensive molecular portraits of human breast tumours
    • Network, T. C. G. A. Comprehensive molecular portraits of human breast tumours. Nature 490, 61-70, doi: 10.1038/nature11412 (2012
    • (2012) Nature , vol.490 , pp. 61-70
    • Network, T.C.G.A.1
  • 14
    • 27344435774 scopus 로고    scopus 로고
    • Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
    • Subramanian, A. et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc. Natl. Acad. Sci. USA 102, 15545-15550, doi: 10.1073/pnas.0506580102 (2005
    • (2005) Proc. Natl. Acad. Sci. USA , vol.102 , pp. 15545-15550
    • Subramanian, A.1
  • 15
    • 84877309040 scopus 로고    scopus 로고
    • Enriching the gene set analysis of genome-wide data by incorporating directionality of gene expression and combining statistical hypotheses and methods
    • Varemo, L., Nielsen, J. & Nookaew, I. Enriching the gene set analysis of genome-wide data by incorporating directionality of gene expression and combining statistical hypotheses and methods. Nucleic Acids Res. 41, 4378-4391, doi: 10.1093/nar/gkt111 (2013
    • (2013) Nucleic Acids Res , vol.41 , pp. 4378-4391
    • Varemo, L.1    Nielsen, J.2    Nookaew, I.3
  • 16
    • 84858983547 scopus 로고    scopus 로고
    • KEGG for integration and interpretation of large-scale molecular data sets
    • Kanehisa, M., Goto, S., Sato, Y., Furumichi, M. & Tanabe, M. KEGG for integration and interpretation of large-scale molecular data sets. Nucleic Acids Res. 40, D109-114, doi: 10.1093/nar/gkr988 (2012
    • (2012) Nucleic Acids Res , vol.40 , pp. D109-D114
    • Kanehisa, M.1    Goto, S.2    Sato, Y.3    Furumichi, M.4    Tanabe, M.5
  • 17
    • 0022731304 scopus 로고
    • Algorithm 643 FEXACT: A Fortran subroutine for Fisher's exact test on unordered r c contingency tables
    • Mehta, C. R. & Patel, N. R. Algorithm 643. FEXACT: A Fortran subroutine for Fisher's exact test on unordered r c contingency tables. ACM Trans. Math. Softw. 12, 154-161, doi: 10.1145/6497.214326 (1986
    • (1986) ACM Trans. Math. Softw , vol.12 , pp. 154-161
    • Mehta, C.R.1    Patel, N.R.2
  • 18
    • 0027849290 scopus 로고
    • A Remark on Algorithm 643: FEXACT: An Algorithm for Performing Fisher's Exact Test in r x c Contingency Tables
    • Clarkson, D. B., Fan, Y. & Joe, H. A Remark on Algorithm 643: FEXACT: An Algorithm for Performing Fisher's Exact Test in r x c Contingency Tables. ACM Trans. Math. Softw. 19, 484-488, doi: 10.1145/168173.168412 (1993
    • (1993) ACM Trans Math. Softw , vol.19 , pp. 484-488
    • Clarkson, D.B.1    Fan, Y.2    Joe, H.3
  • 22
    • 84872716806 scopus 로고    scopus 로고
    • The two faces of Janus kinases and their respective STATs in mammary gland development and cancer
    • Wagner, K. & Schmidt, J. W. The two faces of Janus kinases and their respective STATs in mammary gland development and cancer. J. Carcinog. 10, doi: 10.4103/1477-3163.90677 (2011
    • (2011) J. Carcinog , vol.10
    • Wagner, K.1    Schmidt, J.W.2
  • 23
    • 84856442008 scopus 로고    scopus 로고
    • The role of immunoglobulin superfamily cell adhesion molecules in cancer metastasis
    • Wong, C. W., Dye, D. E. & Coombe, D. R. The role of immunoglobulin superfamily cell adhesion molecules in cancer metastasis. Int. J. Cell Biol. 2012, doi: 10.1155/2012/340296 (2012
    • (2012) Int. J. Cell Biol , vol.2012
    • Wong, C.W.1    Dye, D.E.2    Coombe, D.R.3
  • 24
    • 79958038963 scopus 로고    scopus 로고
    • TGF-β Signaling Pathway and Breast Cancer Susceptibility
    • Scollen, S. et al. TGF-β Signaling Pathway and Breast Cancer Susceptibility. Cancer Epidemiol. Biomarkers Prev. 20, 1112-1119 (2011
    • (2011) Cancer Epidemiol. Biomarkers Prev , vol.20 , pp. 1112-1119
    • Scollen, S.1
  • 25
    • 67549086678 scopus 로고    scopus 로고
    • Transforming growth factor-β in breast cancer: Too much, too late
    • Barcellos-Hoff, M. H. & Akhurst, R. J. Transforming growth factor-β in breast cancer: too much, too late. Breast Cancer Res. 11, doi: 10.1186/bcr2224 (2009
    • (2009) Breast Cancer Res , vol.11
    • Barcellos-Hoff, M.H.1    Akhurst, R.J.2
  • 26
    • 65249180150 scopus 로고    scopus 로고
    • Snapshot: MicroRNAs in cancer
    • Spizzo, R., Nicoloso, M. S., Croce, C. M. & Calin, G. A. Snapshot: microRNAs in cancer. Cell 137, 586-586, doi: 10.1016/j. cell.2009.04.040 (2009
    • (2009) Cell , vol.137 , pp. 586-586
    • Spizzo, R.1    Nicoloso, M.S.2    Croce, C.M.3    Calin, G.A.4
  • 28
    • 77955591555 scopus 로고    scopus 로고
    • MicroRNAs and their target gene networks in breast cancer
    • O'Day, E. & Lal, A. MicroRNAs and their target gene networks in breast cancer. Breast Cancer Res. 12 (2010
    • (2010) Breast Cancer Res , vol.12
    • O'Day, E.1    Lal, A.2
  • 29
    • 84867441742 scopus 로고    scopus 로고
    • Dysregulation of microRNAs in cancer
    • Chen, P. S., Su, J. L. & Hung, M. C. Dysregulation of microRNAs in cancer. J. Biomed. Sci. 19, doi: 10.1186/1423-0127-19-90 (2012
    • (2012) J. Biomed. Sci , vol.19
    • Chen, P.S.1    Su, J.L.2    Hung, M.C.3
  • 30
    • 23844489449 scopus 로고    scopus 로고
    • P-cadherin overexpression is an indicator of clinical outcome in invasive breast carcinomas and Is associated with CDH3 promoter hypomethylation
    • Paredes, J. et al. P-cadherin overexpression is an indicator of clinical outcome in invasive breast carcinomas and Is associated with CDH3 promoter hypomethylation. Clin. Cancer Res. 11, 5869-5877 (2005
    • (2005) Clin. Cancer Res , vol.11 , pp. 5869-5877
    • Paredes, J.1
  • 31
    • 40449115153 scopus 로고    scopus 로고
    • P-cadherin expression in breast cancer: A review
    • Paredes, J. et al. P-cadherin expression in breast cancer: a review. Breast Cancer Res. 9, 214, doi: 10.1186/bcr1774 (2007
    • (2007) Breast Cancer Res , vol.9 , pp. 214
    • Paredes, J.1
  • 32
    • 17144371848 scopus 로고    scopus 로고
    • JNK2: A negative regulator of cellular proliferation
    • Sabapathy, K. & Wagner, E. F. JNK2: a negative regulator of cellular proliferation. Cell Cycle 3, 1520-1523 (2004
    • (2004) Cell Cycle , vol.3 , pp. 1520-1523
    • Sabapathy, K.1    Wagner, E.F.2
  • 33
    • 36049011859 scopus 로고    scopus 로고
    • Cooperation between JNK1 and JNK2 in activation of p53 apoptotic pathway
    • Oleinik, N. V., Krupenko, N. I. & Krupenko, S. A. Cooperation between JNK1 and JNK2 in activation of p53 apoptotic pathway. Oncogene 26, 7222-7230 (2007
    • (2007) Oncogene , vol.26 , pp. 7222-7230
    • Oleinik, N.V.1    Krupenko, N.I.2    Krupenko, S.A.3
  • 34
    • 33751202983 scopus 로고    scopus 로고
    • GATA-3 maintains the differentiation of the luminal cell fate in the mammary gland
    • Kouros-Mehr, H., Slorach, E. M., Sternlicht, M. D. & Werb, Z. GATA-3 maintains the differentiation of the luminal cell fate in the mammary gland. Cell 127, 1041-1055, doi: 10.1016/j.cell.2006.09.048 (2006
    • (2006) Cell , vol.127 , pp. 1041-1055
    • Kouros-Mehr, H.1    Slorach, E.M.2    Sternlicht, M.D.3    Werb, Z.4
  • 35
    • 73949087506 scopus 로고    scopus 로고
    • GATA3 in development and cancer differentiation: Cells GATA have it!
    • Chou, J., Provot, S. & Werb, Z. GATA3 in development and cancer differentiation: cells GATA have it! J. Cell. Physiol. 222, 42-49, doi: 10.1002/jcp.21943 (2010
    • (2010) J Cell. Physiol , vol.222 , pp. 42-49
    • Chou, J.1    Provot, S.2    Werb, Z.3
  • 36
    • 84861527388 scopus 로고    scopus 로고
    • The genomic and transcriptomic architecture of 2, 000 breast tumours reveals novel subgroups
    • Curtis, C. et al. The genomic and transcriptomic architecture of 2, 000 breast tumours reveals novel subgroups. Nature 486, 346-352, doi: 10.1038/nature10983 (2012
    • (2012) Nature , vol.486 , pp. 346-352
    • Curtis, C.1
  • 38
    • 0030588578 scopus 로고    scopus 로고
    • Risk for subsequent cancer after diagnosis of basal-cell carcinoma A population-based, epidemiologic study
    • Frisch, M., Hjalgrim, H., Olsen, J. H. & Melbye, M. Risk for subsequent cancer after diagnosis of basal-cell carcinoma. A population-based, epidemiologic study. Ann. Intern. Med. 125, 815-821 (1996
    • (1996) Ann. Intern. Med , vol.125 , pp. 815-821
    • Frisch, M.1    Hjalgrim, H.2    Olsen, J.H.3    Melbye, M.4
  • 39
    • 84939421550 scopus 로고    scopus 로고
    • Zodiac: A Comprehensive Depiction of Genetic Interactions in Cancer by Integrating TCGA Data JNCI-J
    • djv129 10.1093/jnci/djv129
    • Zhu, Y. et al. Zodiac: A Comprehensive Depiction of Genetic Interactions in Cancer by Integrating TCGA Data. JNCI-J. Natl. Cancer Inst. 107, djv129, doi: 10.1093/jnci/djv129 (2015
    • (2015) Natl. Cancer Inst , vol.107
    • Zhu, Y.1
  • 40
    • 79952286400 scopus 로고    scopus 로고
    • Evaluation of clinical breast MR imaging performed with prototype computer-Aided diagnosis breast MR imaging workstation: Reader study
    • Shimauchi, A. et al. Evaluation of clinical breast MR imaging performed with prototype computer-Aided diagnosis breast MR imaging workstation: reader study. Radiology 258, 696-704, doi: 10.1148/radiol.10100409 (2011
    • (2011) Radiology , vol.258 , pp. 696-704
    • Shimauchi, A.1
  • 41
    • 33746617896 scopus 로고    scopus 로고
    • Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI
    • Chen, W., Giger, M. L., Bick, U. & Newstead, G. M. Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI. Med. Phys. 33, 2878-2887 (2006
    • (2006) Med. Phys , vol.33 , pp. 2878-2887
    • Chen, W.1    Giger, M.L.2    Bick, U.3    Newstead, G.M.4
  • 42
    • 2442660323 scopus 로고    scopus 로고
    • Computerized interpretation of breast MRI: Investigation of enhancement-variance dynamics
    • Chen, W., Giger, M. L., Lan, L. & Bick, U. Computerized interpretation of breast MRI: investigation of enhancement-variance dynamics. Med. Phys. 31, 1076-1082 (2004
    • (2004) Med. Phys , vol.31 , pp. 1076-1082
    • Chen, W.1    Giger, M.L.2    Lan, L.3    Bick, U.4
  • 43
    • 36348986747 scopus 로고    scopus 로고
    • Volumetric texture analysis of breast lesions on contrast-enhanced magnetic resonance images
    • Chen, W., Giger, M. L., Li, H., Bick, U. & Newstead, G. M. Volumetric texture analysis of breast lesions on contrast-enhanced magnetic resonance images. Magn. Reson. Med. 58, 562-571 (2007
    • (2007) Magn. Reson. Med , vol.58 , pp. 562-571
    • Chen, W.1    Giger, M.L.2    Li, H.3    Bick, U.4    Newstead, G.M.5
  • 44
    • 0031657391 scopus 로고    scopus 로고
    • Automated analysis of breast lesions in three dimensions using dynamic magnetic resonance imaging
    • Gilhuijs, K. G. A., Giger, M. L. & Bick, U. Automated analysis of breast lesions in three dimensions using dynamic magnetic resonance imaging. Med. Phys. 25, 1647-1654 (1998
    • (1998) Med. Phys , vol.25 , pp. 1647-1654
    • Gilhuijs, K.G.A.1    Giger, M.L.2    Bick, U.3
  • 45
    • 29944447410 scopus 로고    scopus 로고
    • A fuzzy c-means (FCM)-based approach for computerized segmentation of breast lesions in dynamic contrast-enhanced MR images
    • Chen, W., Giger, M. L. & Bick, U. A fuzzy c-means (FCM)-based approach for computerized segmentation of breast lesions in dynamic contrast-enhanced MR images. Acad. Radiol. 13, 63-72 (2006
    • (2006) Acad. Radiol , vol.13 , pp. 63-72
    • Chen, W.1    Giger, M.L.2    Bick, U.3
  • 46
    • 84901761987 scopus 로고    scopus 로고
    • Open-source software for retrieving and processing TCGA data
    • Zhu, Y., Qiu, P. & Ji, Y. TCGA-Assembler: open-source software for retrieving and processing TCGA data. Nat. Methods 11, 599-600 (2014
    • (2014) Nat. Methods , vol.11 , pp. 599-600
    • Zhu, Y.1    Qiu, P.2    TCGA-Assembler, J.Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.