-
1
-
-
84908173579
-
Ovarian cancer
-
1 Jayson, GC, Kohn, EC, Kitchener, HC, Ledermann, JA, Ovarian cancer. Lancet 384 (2014), 1376–1388.
-
(2014)
Lancet
, vol.384
, pp. 1376-1388
-
-
Jayson, G.C.1
Kohn, E.C.2
Kitchener, H.C.3
Ledermann, J.A.4
-
2
-
-
80053168788
-
Rethinking ovarian cancer: recommendations for improving outcomes
-
2 Vaughan, S, Coward, JI, Bast, RC Jr, et al. Rethinking ovarian cancer: recommendations for improving outcomes. Nat Rev Cancer 11 (2011), 719–725.
-
(2011)
Nat Rev Cancer
, vol.11
, pp. 719-725
-
-
Vaughan, S.1
Coward, J.I.2
Bast, R.C.3
-
3
-
-
84920837701
-
Cancer statistics, 2015
-
3 Siegel, RL, Miller, KD, Jemal, A, Cancer statistics, 2015. CA Cancer J Clin 65 (2015), 5–29.
-
(2015)
CA Cancer J Clin
, vol.65
, pp. 5-29
-
-
Siegel, R.L.1
Miller, K.D.2
Jemal, A.3
-
4
-
-
52649085237
-
Novel molecular subtypes of serous and endometrioid ovarian cancer linked to clinical outcome
-
4 Tothill, RW, Tinker, AV, George, J, et al. Novel molecular subtypes of serous and endometrioid ovarian cancer linked to clinical outcome. Clin Cancer Res 14 (2008), 5198–5208.
-
(2008)
Clin Cancer Res
, vol.14
, pp. 5198-5208
-
-
Tothill, R.W.1
Tinker, A.V.2
George, J.3
-
5
-
-
84862188915
-
A DNA repair pathway-focused score for prediction of outcomes in ovarian cancer treated with platinum-based chemotherapy
-
5 Kang, J, D'Andrea, AD, Kozono, D, A DNA repair pathway-focused score for prediction of outcomes in ovarian cancer treated with platinum-based chemotherapy. J Natl Cancer Inst 104 (2012), 670–681.
-
(2012)
J Natl Cancer Inst
, vol.104
, pp. 670-681
-
-
Kang, J.1
D'Andrea, A.D.2
Kozono, D.3
-
6
-
-
84880019576
-
Functional genomics identifies five distinct molecular subtypes with clinical relevance and pathways for growth control in epithelial ovarian cancer
-
6 Tan, TZ, Miow, QH, Huang, RY, et al. Functional genomics identifies five distinct molecular subtypes with clinical relevance and pathways for growth control in epithelial ovarian cancer. EMBO Mol Med 5 (2013), 983–998.
-
(2013)
EMBO Mol Med
, vol.5
, pp. 983-998
-
-
Tan, T.Z.1
Miow, Q.H.2
Huang, R.Y.3
-
7
-
-
84873862912
-
Prognostically relevant gene signatures of high-grade serous ovarian carcinoma
-
7 Verhaak, RG, Tamayo, P, Yang, JY, et al. Prognostically relevant gene signatures of high-grade serous ovarian carcinoma. J Clin Invest 123 (2013), 517–525.
-
(2013)
J Clin Invest
, vol.123
, pp. 517-525
-
-
Verhaak, R.G.1
Tamayo, P.2
Yang, J.Y.3
-
8
-
-
84902460514
-
Risk prediction for late-stage ovarian cancer by meta-analysis of 1525 patient samples
-
8 Riester, M, Wei, W, Waldron, L, et al. Risk prediction for late-stage ovarian cancer by meta-analysis of 1525 patient samples. J Natl Cancer Inst, 106, 2014, dju048.
-
(2014)
J Natl Cancer Inst
, vol.106
, pp. dju048
-
-
Riester, M.1
Wei, W.2
Waldron, L.3
-
9
-
-
84985034791
-
Prognostic and therapeutic relevance of molecular subtypes in high-grade serous ovarian cancer
-
9 Konecny, GE, Wang, C, Hamidi, H, et al. Prognostic and therapeutic relevance of molecular subtypes in high-grade serous ovarian cancer. J Natl Cancer Inst, 106, 2014, dju249.
-
(2014)
J Natl Cancer Inst
, vol.106
, pp. dju249
-
-
Konecny, G.E.1
Wang, C.2
Hamidi, H.3
-
10
-
-
34548746977
-
MicroRNA signatures in human ovarian cancer
-
10 Iorio, MV, Visone, R, Di Leva, G, et al. MicroRNA signatures in human ovarian cancer. Cancer Res 67 (2007), 8699–8707.
-
(2007)
Cancer Res
, vol.67
, pp. 8699-8707
-
-
Iorio, M.V.1
Visone, R.2
Di Leva, G.3
-
11
-
-
79952041791
-
Association between miR-200c and the survival of patients with stage I epithelial ovarian cancer: a retrospective study of two independent tumour tissue collections
-
11 Marchini, S, Cavalieri, D, Fruscio, R, et al. Association between miR-200c and the survival of patients with stage I epithelial ovarian cancer: a retrospective study of two independent tumour tissue collections. Lancet Oncol 12 (2011), 273–285.
-
(2011)
Lancet Oncol
, vol.12
, pp. 273-285
-
-
Marchini, S.1
Cavalieri, D.2
Fruscio, R.3
-
12
-
-
84878986540
-
A microRNA signature defines chemoresistance in ovarian cancer through modulation of angiogenesis
-
12 Vecchione, A, Belletti, B, Lovat, F, et al. A microRNA signature defines chemoresistance in ovarian cancer through modulation of angiogenesis. Proc Natl Acad Sci USA 110 (2013), 9845–9850.
-
(2013)
Proc Natl Acad Sci USA
, vol.110
, pp. 9845-9850
-
-
Vecchione, A.1
Belletti, B.2
Lovat, F.3
-
13
-
-
80053074385
-
Carboplatin plus paclitaxel versus carboplatin plus pegylated liposomal doxorubicin as first-line treatment for patients with ovarian cancer: the MITO-2 randomized phase III trial
-
13 Pignata, S, Scambia, G, Ferrandina, G, et al. Carboplatin plus paclitaxel versus carboplatin plus pegylated liposomal doxorubicin as first-line treatment for patients with ovarian cancer: the MITO-2 randomized phase III trial. J Clin Oncol 29 (2011), 3628–3635.
-
(2011)
J Clin Oncol
, vol.29
, pp. 3628-3635
-
-
Pignata, S.1
Scambia, G.2
Ferrandina, G.3
-
14
-
-
84862900403
-
Identification of a chrXq27.3 microRNA cluster associated with early relapse in advanced stage ovarian cancer patients
-
14 Bagnoli, M, De Cecco, L, Granata, A, et al. Identification of a chrXq27.3 microRNA cluster associated with early relapse in advanced stage ovarian cancer patients. Oncotarget 2 (2011), 1265–1278.
-
(2011)
Oncotarget
, vol.2
, pp. 1265-1278
-
-
Bagnoli, M.1
De Cecco, L.2
Granata, A.3
-
15
-
-
79959838081
-
Integrated genomic analyses of ovarian carcinoma
-
15 Cancer Genome Atlas Research Network. Integrated genomic analyses of ovarian carcinoma. Nature 474 (2011), 609–615.
-
(2011)
Nature
, vol.474
, pp. 609-615
-
-
-
16
-
-
84866431344
-
Comparison of microarray platforms for measuring differential microRNA expression in paired normal/cancer colon tissues
-
16 Callari, M, Dugo, M, Musella, V, et al. Comparison of microarray platforms for measuring differential microRNA expression in paired normal/cancer colon tissues. PLoS One, 7, 2012, e45105.
-
(2012)
PLoS One
, vol.7
, pp. e45105
-
-
Callari, M.1
Dugo, M.2
Musella, V.3
-
17
-
-
0036081355
-
Gene Expression Omnibus: NCBI gene expression and hybridization array data repository
-
17 Edgar, R, Domrachev, M, Lash, AE, Gene Expression Omnibus: NCBI gene expression and hybridization array data repository. Nucleic Acids Res 30 (2002), 207–210.
-
(2002)
Nucleic Acids Res
, vol.30
, pp. 207-210
-
-
Edgar, R.1
Domrachev, M.2
Lash, A.E.3
-
18
-
-
28744458859
-
Bioconductor: open software development for computational biology and bioinformatics
-
18 Gentleman, RC, Carey, VJ, Bates, DM, et al. Bioconductor: open software development for computational biology and bioinformatics. Genome Biol, 5, 2004, R80.
-
(2004)
Genome Biol
, vol.5
, pp. R80
-
-
Gentleman, R.C.1
Carey, V.J.2
Bates, D.M.3
-
19
-
-
84874397516
-
virtualArray: a R/bioconductor package to merge raw data from different microarray platforms
-
19 Heider, A, Alt, R, virtualArray: a R/bioconductor package to merge raw data from different microarray platforms. BMC Bioinformatics, 14, 2013, 75.
-
(2013)
BMC Bioinformatics
, vol.14
, pp. 75
-
-
Heider, A.1
Alt, R.2
-
20
-
-
33845432928
-
Adjusting batch effects in microarray expression data using empirical Bayes methods
-
20 Johnson, WE, Li, C, Rabinovic, A, Adjusting batch effects in microarray expression data using empirical Bayes methods. Biostatistics 8 (2007), 118–127.
-
(2007)
Biostatistics
, vol.8
, pp. 118-127
-
-
Johnson, W.E.1
Li, C.2
Rabinovic, A.3
-
21
-
-
19344375744
-
Semi-supervised methods to predict patient survival from gene expression data
-
21 Bair, E, Tibshirani, R, Semi-supervised methods to predict patient survival from gene expression data. PLoS Biol, 2, 2004, E108.
-
(2004)
PLoS Biol
, vol.2
, pp. E108
-
-
Bair, E.1
Tibshirani, R.2
-
22
-
-
84905160536
-
Comprehensive gene expression meta-analysis of head and neck squamous cell carcinoma microarray data defines a robust survival predictor
-
22 De Cecco, L, Bossi, P, Locati, L, Canevari, S, Licitra, L, Comprehensive gene expression meta-analysis of head and neck squamous cell carcinoma microarray data defines a robust survival predictor. Ann Oncol 25 (2014), 1628–1635.
-
(2014)
Ann Oncol
, vol.25
, pp. 1628-1635
-
-
De Cecco, L.1
Bossi, P.2
Locati, L.3
Canevari, S.4
Licitra, L.5
-
23
-
-
58149145635
-
Validation of biomarker-based risk prediction models
-
23 Taylor, JM, Ankerst, DP, Andridge, RR, Validation of biomarker-based risk prediction models. Clin Cancer Res 14 (2008), 5977–5983.
-
(2008)
Clin Cancer Res
, vol.14
, pp. 5977-5983
-
-
Taylor, J.M.1
Ankerst, D.P.2
Andridge, R.R.3
-
24
-
-
0035991757
-
A paradigm for class prediction using gene expression profiles
-
24 Radmacher, MD, McShane, LM, Simon, R, A paradigm for class prediction using gene expression profiles. J Comput Biol 9 (2002), 505–511.
-
(2002)
J Comput Biol
, vol.9
, pp. 505-511
-
-
Radmacher, M.D.1
McShane, L.M.2
Simon, R.3
-
25
-
-
61449106520
-
Survival-related profile, pathways, and transcription factors in ovarian cancer
-
25 Crijns, AP, Fehrmann, RS, de, JS, et al. Survival-related profile, pathways, and transcription factors in ovarian cancer. PLoS Med, 6, 2009, e24.
-
(2009)
PLoS Med
, vol.6
, pp. e24
-
-
Crijns, A.P.1
Fehrmann, R.S.2
de, J.S.3
-
26
-
-
84975605298
-
-
4th edn. International Agency for Research on Cancer Lyon
-
26 Kurman, RJ, Carcangiu, ML, Herrington, CS, Young, RH, (eds.) WHO classification of tumors of female reproductive organs, 4th edn., 2014, International Agency for Research on Cancer, Lyon.
-
(2014)
WHO classification of tumors of female reproductive organs
-
-
Kurman, R.J.1
Carcangiu, M.L.2
Herrington, C.S.3
Young, R.H.4
-
27
-
-
1942469352
-
Ovarian tumorigenesis: a proposed model based on morphological and molecular genetic analysis
-
27 Shih, I-M, Kurman, RJ, Ovarian tumorigenesis: a proposed model based on morphological and molecular genetic analysis. Am J Pathol 164 (2004), 1511–1518.
-
(2004)
Am J Pathol
, vol.164
, pp. 1511-1518
-
-
Shih, I.-M.1
Kurman, R.J.2
-
28
-
-
84922120593
-
miRBase Tracker: keeping track of microRNA annotation changes
-
28 Van Peer, G, Lefever, S, Anckaert, J, et al. miRBase Tracker: keeping track of microRNA annotation changes. Database (Oxford), 2014, 2014, bau080.
-
(2014)
Database (Oxford)
, vol.2014
, pp. bau080
-
-
Van Peer, G.1
Lefever, S.2
Anckaert, J.3
-
29
-
-
80051913984
-
2010 Gynecologic Cancer InterGroup (GCIG) consensus statement on clinical trials in ovarian cancer: report from the Fourth Ovarian Cancer Consensus Conference
-
29 Stuart, GC, Kitchener, H, Bacon, M, et al. 2010 Gynecologic Cancer InterGroup (GCIG) consensus statement on clinical trials in ovarian cancer: report from the Fourth Ovarian Cancer Consensus Conference. Int J Gynecol Cancer 21 (2011), 750–775.
-
(2011)
Int J Gynecol Cancer
, vol.21
, pp. 750-775
-
-
Stuart, G.C.1
Kitchener, H.2
Bacon, M.3
-
30
-
-
20444460289
-
MicroRNA expression profiles classify human cancers
-
30 Lu, J, Getz, G, Miska, EA, et al. MicroRNA expression profiles classify human cancers. Nature 435 (2005), 834–838.
-
(2005)
Nature
, vol.435
, pp. 834-838
-
-
Lu, J.1
Getz, G.2
Miska, E.A.3
-
31
-
-
84905001923
-
HGF/c-Met axis drives cancer aggressiveness in the neo-adjuvant setting of ovarian cancer
-
31 Mariani, M, McHugh, M, Petrillo, M, et al. HGF/c-Met axis drives cancer aggressiveness in the neo-adjuvant setting of ovarian cancer. Oncotarget 5 (2014), 4855–4867.
-
(2014)
Oncotarget
, vol.5
, pp. 4855-4867
-
-
Mariani, M.1
McHugh, M.2
Petrillo, M.3
-
32
-
-
84928032478
-
Clinically relevant microRNAs in ovarian cancer
-
32 Zhang, S, Lu, Z, Unruh, AK, et al. Clinically relevant microRNAs in ovarian cancer. Mol Cancer Res 13 (2015), 393–401.
-
(2015)
Mol Cancer Res
, vol.13
, pp. 393-401
-
-
Zhang, S.1
Lu, Z.2
Unruh, A.K.3
-
33
-
-
84873582060
-
Integrated analyses identify a master MicroRNA regulatory network for the mesenchymal subtype in serous ovarian Cancer
-
33 Yang, D, Sun, Y, Hu, L, et al. Integrated analyses identify a master MicroRNA regulatory network for the mesenchymal subtype in serous ovarian Cancer. Cancer Cell 23 (2013), 186–199.
-
(2013)
Cancer Cell
, vol.23
, pp. 186-199
-
-
Yang, D.1
Sun, Y.2
Hu, L.3
-
34
-
-
84917687070
-
MiR-29c mediates epithelial-to-mesenchymal transition in human colorectal carcinoma metastasis via PTP4A and GNA13 regulation of beta-catenin signaling
-
34 Zhang, JX, Mai, SJ, Huang, XX, et al. MiR-29c mediates epithelial-to-mesenchymal transition in human colorectal carcinoma metastasis via PTP4A and GNA13 regulation of beta-catenin signaling. Ann Oncol 25 (2014), 2196–2204.
-
(2014)
Ann Oncol
, vol.25
, pp. 2196-2204
-
-
Zhang, J.X.1
Mai, S.J.2
Huang, X.X.3
-
35
-
-
84920271064
-
Key nodes of a microRNA network associated with the integrated mesenchymal subtype of high-grade serous ovarian cancer
-
35 Sun, Y, Guo, F, Bagnoli, M, et al. Key nodes of a microRNA network associated with the integrated mesenchymal subtype of high-grade serous ovarian cancer. Chin J Cancer 34 (2015), 28–40.
-
(2015)
Chin J Cancer
, vol.34
, pp. 28-40
-
-
Sun, Y.1
Guo, F.2
Bagnoli, M.3
-
36
-
-
84902344416
-
MiR-506 suppresses proliferation and induces senescence by directly targeting the CDK4/6-FOXM1 axis in ovarian cancer
-
36 Liu, G, Sun, Y, Ji, P, et al. MiR-506 suppresses proliferation and induces senescence by directly targeting the CDK4/6-FOXM1 axis in ovarian cancer. J Pathol 233 (2014), 308–318.
-
(2014)
J Pathol
, vol.233
, pp. 308-318
-
-
Liu, G.1
Sun, Y.2
Ji, P.3
-
37
-
-
84916201333
-
MiR-506 inhibits multiple targets in the epithelial-to-mesenchymal transition network and is associated with good prognosis in epithelial ovarian cancer
-
37 Sun, Y, Hu, L, Zheng, H, et al. MiR-506 inhibits multiple targets in the epithelial-to-mesenchymal transition network and is associated with good prognosis in epithelial ovarian cancer. J Pathol 235 (2014), 25–36.
-
(2014)
J Pathol
, vol.235
, pp. 25-36
-
-
Sun, Y.1
Hu, L.2
Zheng, H.3
-
38
-
-
84939500019
-
Augmentation of response to chemotherapy by microRNA-506 through regulation of RAD51 in serous ovarian cancers
-
38 Liu, G, Yang, D, Rupaimoole, R, et al. Augmentation of response to chemotherapy by microRNA-506 through regulation of RAD51 in serous ovarian cancers. J Natl Cancer Inst, 107, 2015, djv108.
-
(2015)
J Natl Cancer Inst
, vol.107
, pp. djv108
-
-
Liu, G.1
Yang, D.2
Rupaimoole, R.3
-
39
-
-
41649091906
-
The miR-200 family determines the epithelial phenotype of cancer cells by targeting the E-cadherin repressors ZEB1 and ZEB2
-
39 Park, SM, Gaur, AB, Lengyel, E, Peter, ME, The miR-200 family determines the epithelial phenotype of cancer cells by targeting the E-cadherin repressors ZEB1 and ZEB2. Genes Dev 22 (2008), 894–907.
-
(2008)
Genes Dev
, vol.22
, pp. 894-907
-
-
Park, S.M.1
Gaur, A.B.2
Lengyel, E.3
Peter, M.E.4
-
40
-
-
77954382910
-
Role of microRNAs in ovarian cancer pathogenesis and potential clinical implications
-
40 Mezzanzanica, D, Bagnoli, M, De Cecco, L, Valeri, B, Canevari, S, Role of microRNAs in ovarian cancer pathogenesis and potential clinical implications. Int J Biochem Cell Biol 42 (2010), 1262–1272.
-
(2010)
Int J Biochem Cell Biol
, vol.42
, pp. 1262-1272
-
-
Mezzanzanica, D.1
Bagnoli, M.2
De Cecco, L.3
Valeri, B.4
Canevari, S.5
-
41
-
-
84908178940
-
Tissue microRNAs as predictors of outcome in patients with metastatic colorectal cancer treated with first line capecitabine and oxaliplatin with or without bevacizumab
-
41 Boisen, MK, Dehlendorff, C, Linnemann, D, et al. Tissue microRNAs as predictors of outcome in patients with metastatic colorectal cancer treated with first line capecitabine and oxaliplatin with or without bevacizumab. PLoS One, 9, 2014, e109430.
-
(2014)
PLoS One
, vol.9
, pp. e109430
-
-
Boisen, M.K.1
Dehlendorff, C.2
Linnemann, D.3
-
42
-
-
84948429460
-
Epithelial-to-mesenchymal transition is not required for lung metastasis but contributes to chemoresistance
-
42 Fischer, KR, Durrans, A, Lee, S, et al. Epithelial-to-mesenchymal transition is not required for lung metastasis but contributes to chemoresistance. Nature 527 (2015), 472–476.
-
(2015)
Nature
, vol.527
, pp. 472-476
-
-
Fischer, K.R.1
Durrans, A.2
Lee, S.3
-
43
-
-
84861618843
-
-
National Academies Press Washington, DC
-
43 Micheel, CM, Nass, SJ, Omenn, GS, (eds.) Commitee on the review of omics-based tests for predicting patient outcomes in clinical trials; Board on health care service; Board on health sciences policy; Institute of medicine; Evolution of translational OMICS: lessons learned and the path foreward, 2012, National Academies Press, Washington, DC.
-
(2012)
Commitee on the review of omics-based tests for predicting patient outcomes in clinical trials; Board on health care service; Board on health sciences policy; Institute of medicine; Evolution of translational OMICS: lessons learned and the path foreward
-
-
Micheel, C.M.1
Nass, S.J.2
Omenn, G.S.3
-
44
-
-
84861543054
-
Reporting recommendations for tumor marker prognostic studies (REMARK): explanation and elaboration
-
44 Altman, DG, McShane, LM, Sauerbrei, W, Taube, SE, Reporting recommendations for tumor marker prognostic studies (REMARK): explanation and elaboration. PLoS Med, 9, 2012, e1001216.
-
(2012)
PLoS Med
, vol.9
, pp. e1001216
-
-
Altman, D.G.1
McShane, L.M.2
Sauerbrei, W.3
Taube, S.E.4
-
45
-
-
84897422241
-
Carboplatin plus paclitaxel once a week versus every 3 weeks in patients with advanced ovarian cancer (MITO-7): a randomised, multicentre, open-label, phase 3 trial
-
45 Pignata, S, Scambia, G, Katsaros, D, et al. Carboplatin plus paclitaxel once a week versus every 3 weeks in patients with advanced ovarian cancer (MITO-7): a randomised, multicentre, open-label, phase 3 trial. Lancet Oncol 15 (2014), 396–405.
-
(2014)
Lancet Oncol
, vol.15
, pp. 396-405
-
-
Pignata, S.1
Scambia, G.2
Katsaros, D.3
|