-
1
-
-
84864349266
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
27
-
-
78650966289
-
Intracellular and extracellular microRNAs in breast cancer
-
Corcoran, C., Friel, A. M., Duffy, M. J., Crown, J. & O'Driscoll, L. Intracellular and extracellular microRNAs in breast cancer. Clin. Chem. 57, 18-32 (2011
-
(2011)
Clin. Chem
, vol.57
, pp. 18-32
-
-
Corcoran, C.1
Friel, A.M.2
Duffy, M.J.3
Crown, J.4
O'Driscoll, L.5
-
28
-
-
77955591555
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
|