-
1
-
-
0034659898
-
Genomics, gene expression and DNA arrays
-
Lockhart DJ00, Winzeler EA. Genomics, gene expression and DNA arrays. Nature 2000;405:827-836.
-
(2000)
Nature
, vol.405
, pp. 827-836
-
-
Lockhart D.J.001
Winzeler, E.A.2
-
2
-
-
0034812859
-
Towards a novel classification of human malignancies based on gene expression patterns
-
Alizadeh AA, Ross DT, Perou CM et al. Towards a novel classification of human malignancies based on gene expression patterns. J Pathol 2001;195:41-52.
-
(2001)
J Pathol
, vol.195
, pp. 41-52
-
-
Alizadeh, A.A.1
Ross, D.T.2
Perou, C.M.3
-
3
-
-
0036728568
-
Primer on medical genomics. Part III: Microarray experiments and data analysis
-
Tefferi A, Bolander ME, Ansell SM et al. Primer on medical genomics. Part III: Microarray experiments and data analysis. Mayo Clin Proc 2002;77:927-940.
-
(2002)
Mayo Clin Proc
, vol.77
, pp. 927-940
-
-
Tefferi, A.1
Bolander, M.E.2
Ansell, S.M.3
-
5
-
-
33646466957
-
Origin and funding of the most frequently cited papers in medicine: Database analysis
-
Patsopoulos NA, Ioannidis JP, Analatos AA. Origin and funding of the most frequently cited papers in medicine: Database analysis. BMJ 2006;332:1061-1064.
-
(2006)
BMJ
, vol.332
, pp. 1061-1064
-
-
Patsopoulos, N.A.1
Ioannidis, J.P.2
Analatos, A.A.3
-
6
-
-
33744502855
-
Cancer biomarkers-an invitation to the table
-
Dalton WS, Friend SH. Cancer biomarkers-an invitation to the table. Science 2006;312:1165-1168.
-
(2006)
Science
, vol.312
, pp. 1165-1168
-
-
Dalton, W.S.1
Friend, S.H.2
-
7
-
-
33745560074
-
The US Food and Drug Administration perspective on cancer biomarker development
-
Gutman S, Kessler LG. The US Food and Drug Administration perspective on cancer biomarker development. Nat Rev Cancer 2006;6:565-571.
-
(2006)
Nat Rev Cancer
, vol.6
, pp. 565-571
-
-
Gutman, S.1
Kessler, L.G.2
-
8
-
-
33745641883
-
Uses and abuses of tumor markers in the diagnosis, monitoring, and treatment of primary and metastatic breast cancer
-
Henry NL, Hayes DF. Uses and abuses of tumor markers in the diagnosis, monitoring, and treatment of primary and metastatic breast cancer. The Oncologist 2006;11:541-552.
-
(2006)
The Oncologist
, vol.11
, pp. 541-552
-
-
Henry, N.L.1
Hayes, D.F.2
-
9
-
-
28544446695
-
Biomarkers in cancer staging, prognosis and treatment selection
-
Ludwig JA, Weinstein JN. Biomarkers in cancer staging, prognosis and treatment selection. Nat Rev Cancer 2005;5:845-856.
-
(2005)
Nat Rev Cancer
, vol.5
, pp. 845-856
-
-
Ludwig, J.A.1
Weinstein, J.N.2
-
10
-
-
0034728356
-
What do we mean by validating a prognostic model?
-
Altman DG, Royston P. What do we mean by validating a prognostic model? Stat Med 2000;19:453-473.
-
(2000)
Stat Med
, vol.19
, pp. 453-473
-
-
Altman, D.G.1
Royston, P.2
-
11
-
-
0036095151
-
Validity of prognostic models: When is a model clinically useful?
-
Vergouwe Y, Steyerberg EW, Eijkemans MJ et al. Validity of prognostic models: When is a model clinically useful? Semin Urol Oncol 2002;20:96-107.
-
(2002)
Semin Urol Oncol
, vol.20
, pp. 96-107
-
-
Vergouwe, Y.1
Steyerberg, E.W.2
Eijkemans, M.J.3
-
12
-
-
0242361278
-
Predictive ability of DNA microarrays for cancer outcomes and correlates: An empirical assessment
-
Ntzani EE, Ioannidis JP. Predictive ability of DNA microarrays for cancer outcomes and correlates: An empirical assessment. Lancet 2003;362:1439-1444.
-
(2003)
Lancet
, vol.362
, pp. 1439-1444
-
-
Ntzani, E.E.1
Ioannidis, J.P.2
-
13
-
-
4444238723
-
Microarrays and clinical investigations
-
Liu ET, Karuturi KR. Microarrays and clinical investigations. N Engl J Med 2004;350:1595-1597.
-
(2004)
N Engl J Med
, vol.350
, pp. 1595-1597
-
-
Liu, E.T.1
Karuturi, K.R.2
-
14
-
-
33748578365
-
Molecular classification of breast cancer: Limitations and potential
-
Pusztai L, Mazouni C, Anderson K et al. Molecular classification of breast cancer: Limitations and potential. The Oncologist 2006;11:868-877.
-
(2006)
The Oncologist
, vol.11
, pp. 868-877
-
-
Pusztai, L.1
Mazouni, C.2
Anderson, K.3
-
15
-
-
33748419485
-
Technology Insight: Tuning into the genetic orchestra using microarrays - limitations of DNA microarrays in clinical practice
-
Abdullah-Sayani A, Bueno-de-Mesquita JM, van de Vijver MJ. Technology Insight: Tuning into the genetic orchestra using microarrays - limitations of DNA microarrays in clinical practice. Nat Clin Pract Oncol 2006;3:501-516.
-
(2006)
Nat Clin Pract Oncol
, vol.3
, pp. 501-516
-
-
Abdullah-Sayani, A.1
Bueno-de-Mesquita, J.M.2
van de Vijver, M.J.3
-
16
-
-
18344396568
-
Minimum information about a microarray experiment (MIAME)-toward standards for microarray data
-
Brazma A, Hingamp P, Quackenbush J et al. Minimum information about a microarray experiment (MIAME)-toward standards for microarray data. Nat Genet 2001;29:365-371.
-
(2001)
Nat Genet
, vol.29
, pp. 365-371
-
-
Brazma, A.1
Hingamp, P.2
Quackenbush, J.3
-
17
-
-
29244448340
-
Microarray data analysis: From disarray to consolidation and consensus
-
Allison DB, Cui X, Page GP et al. Microarray data analysis: From disarray to consolidation and consensus. Nat Rev Genet 2006;7:55- 65.
-
(2006)
Nat Rev Genet
, vol.7
, pp. 55-65
-
-
Allison, D.B.1
Cui, X.2
Page, G.P.3
-
19
-
-
0037245343
-
Pitfalls in the use of DNA microarray data for diagnostic and prognostic classification
-
Simon R, Radmacher MD, Dobbin K et al. Pitfalls in the use of DNA microarray data for diagnostic and prognostic classification. J Natl Cancer Inst 2003;95:14-18.
-
(2003)
J Natl Cancer Inst
, vol.95
, pp. 14-18
-
-
Simon, R.1
Radmacher, M.D.2
Dobbin, K.3
-
20
-
-
13444283596
-
Bias as a threat to the validity of cancer molecular-marker research
-
Ransohoff DF. Bias as a threat to the validity of cancer molecular-marker research. Nat Rev Cancer 2005;5:142-149.
-
(2005)
Nat Rev Cancer
, vol.5
, pp. 142-149
-
-
Ransohoff, D.F.1
-
21
-
-
19944422061
-
A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer
-
Paik S, Shak S, Tang G et al. A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. N Engl J Med 2004;351: 2817-2826.
-
(2004)
N Engl J Med
, vol.351
, pp. 2817-2826
-
-
Paik, S.1
Shak, S.2
Tang, G.3
-
22
-
-
18244409687
-
Gene expression profiling predicts clinical outcome of breast cancer
-
van't Veer LJ, Dai H, van de Vijver MJ et al. Gene expression profiling predicts clinical outcome of breast cancer. Nature 2002;415:530-536.
-
(2002)
Nature
, vol.415
, pp. 530-536
-
-
van't Veer, L.J.1
Dai, H.2
van de Vijver, M.J.3
-
23
-
-
13844310310
-
Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer
-
Wang Y, Klijn JG, Zhang Y et al. Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer. Lancet 2005;365:671-679.
-
(2005)
Lancet
, vol.365
, pp. 671-679
-
-
Wang, Y.1
Klijn, J.G.2
Zhang, Y.3
-
24
-
-
20144386127
-
Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival
-
Chang HY, Nuyten DS, Sneddon JB et al. Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival. Proc Natl Acad Sci U S A 2005;102:3738-3743.
-
(2005)
Proc Natl Acad Sci U S A
, vol.102
, pp. 3738-3743
-
-
Chang, H.Y.1
Nuyten, D.S.2
Sneddon, J.B.3
-
25
-
-
3843075248
-
Genomic approaches to hematologic malignancies
-
Ebert BL, Golub TR. Genomic approaches to hematologic malignancies. Blood 2004;104:923-932.
-
(2004)
Blood
, vol.104
, pp. 923-932
-
-
Ebert, B.L.1
Golub, T.R.2
-
26
-
-
2342587416
-
Prediction of survival in diffuse large-B-cell lymphoma based on the expression of six genes
-
Lossos IS Czerwinski DK, Alizadeh AA et al. Prediction of survival in diffuse large-B-cell lymphoma based on the expression of six genes. N Engl J Med 2004;350:1828-1837.
-
(2004)
N Engl J Med
, vol.350
, pp. 1828-1837
-
-
Lossos, I.S.1
Czerwinski, D.K.2
Alizadeh, A.A.3
-
27
-
-
0037142053
-
The use of molecular profiling to predict survival after chemotherapy for diffuse large-B-cell lymphoma
-
Rosenwald A, Wright G, Chan WC et al. The use of molecular profiling to predict survival after chemotherapy for diffuse large-B-cell lymphoma. N Engl J Med 2002;346:1937-1947.
-
(2002)
N Engl J Med
, vol.346
, pp. 1937-1947
-
-
Rosenwald, A.1
Wright, G.2
Chan, W.C.3
-
28
-
-
33746910265
-
Concordance among gene-expression-based predictors for breast cancer
-
Fan C, Oh DS, Wessels L et al. Concordance among gene-expression-based predictors for breast cancer. N Engl J Med 2006;355:560-569.
-
(2006)
N Engl J Med
, vol.355
, pp. 560-569
-
-
Fan, C.1
Oh, D.S.2
Wessels, L.3
-
29
-
-
33748693297
-
Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer
-
Buyse M, Loi S, van't Veer L et al. Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer. J Natl Cancer Inst 2006;98:1183-1192.
-
(2006)
J Natl Cancer Inst
, vol.98
, pp. 1183-1192
-
-
Buyse, M.1
Loi, S.2
van't Veer, L.3
-
30
-
-
13444304216
-
Microarrays and molecular research: Noise discovery?
-
Ioannidis JP. Microarrays and molecular research: Noise discovery? Lancet 2005;365:454-455.
-
(2005)
Lancet
, vol.365
, pp. 454-455
-
-
Ioannidis, J.P.1
-
31
-
-
13444249852
-
Prediction of cancer outcome with microarrays: A multiple random validation strategy
-
Michiels S, Koscielny S, Hill C. Prediction of cancer outcome with microarrays: A multiple random validation strategy. Lancet 2005;365:488-492.
-
(2005)
Lancet
, vol.365
, pp. 488-492
-
-
Michiels, S.1
Koscielny, S.2
Hill, C.3
-
32
-
-
33645825183
-
Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer
-
Ein-Dor L, Zuk O, Domany E. Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer. Proc Natl Acad Sci U S A 2006;103:5923-5928.
-
(2006)
Proc Natl Acad Sci U S A
, vol.103
, pp. 5923-5928
-
-
Ein-Dor, L.1
Zuk, O.2
Domany, E.3
-
33
-
-
13444282534
-
Outcome signature genes in breast cancer: Is there a unique set?
-
Ein-Dor L, Kela I, Getz G et al. Outcome signature genes in breast cancer: Is there a unique set? Bioinformatics 2005;21:171-178.
-
(2005)
Bioinformatics
, vol.21
, pp. 171-178
-
-
Ein-Dor, L.1
Kela, I.2
Getz, G.3
-
34
-
-
33744814477
-
Gene expression and benefit of chemotherapy in women with node-negative, estrogen receptor-positive breast cancer
-
Paik S, Tang G, Shak S et al. Gene expression and benefit of chemotherapy in women with node-negative, estrogen receptor-positive breast cancer. J Clin Oncol 2006;24:3726-3734.
-
(2006)
J Clin Oncol
, vol.24
, pp. 3726-3734
-
-
Paik, S.1
Tang, G.2
Shak, S.3
-
35
-
-
33751257148
-
-
Ioannidis JPA. Gene expression profiling for individualizing breast cancer chemotherapy: success or not? Nat Clin Pract Oncol 2006;3:538-539.
-
Ioannidis JPA. Gene expression profiling for individualizing breast cancer chemotherapy: success or not? Nat Clin Pract Oncol 2006;3:538-539.
-
-
-
-
36
-
-
17444420853
-
Substantial effective sample sizes were required for external validation studies of predictive logistic regression models
-
Vergouwe Y, Steyerberg EW, Eijkemans MJ et al. Substantial effective sample sizes were required for external validation studies of predictive logistic regression models. J Clin Epidemiol 2005;58:475- 83.
-
(2005)
J Clin Epidemiol
, vol.58
, pp. 475-483
-
-
Vergouwe, Y.1
Steyerberg, E.W.2
Eijkemans, M.J.3
-
37
-
-
3843116922
-
Good Old clinical markers have similar power in breast cancer prognosis as microarray gene expression profilers
-
Eden P, Ritz C, Rose C et al. "Good Old" clinical markers have similar power in breast cancer prognosis as microarray gene expression profilers. Eur J Cancer 2004;40:1837-1841.
-
(2004)
Eur J Cancer
, vol.40
, pp. 1837-1841
-
-
Eden, P.1
Ritz, C.2
Rose, C.3
-
38
-
-
33750082390
-
Gene expression profilers and conventional clinical markers to predict distant recurrences for premenopausal breast cancer patients after adjuvant chemotherapy
-
Nimeus-Malmstrom E, Ritz C, Eden P et al. Gene expression profilers and conventional clinical markers to predict distant recurrences for premenopausal breast cancer patients after adjuvant chemotherapy. Eur J Cancer 2006;42:2729-2737.
-
(2006)
Eur J Cancer
, vol.42
, pp. 2729-2737
-
-
Nimeus-Malmstrom, E.1
Ritz, C.2
Eden, P.3
-
39
-
-
0037137519
-
A gene-expression signature as a predictor of survival in breast cancer
-
van de Vijver MJ, He YD, van't Veer LJ et al. A gene-expression signature as a predictor of survival in breast cancer. N Engl J Med 2002;347:1999-2009.
-
(2002)
N Engl J Med
, vol.347
, pp. 1999-2009
-
-
van de Vijver, M.J.1
He, Y.D.2
van't Veer, L.J.3
-
40
-
-
0033574245
-
Assessing the generalizability of prognostic information
-
Justice AC, Covinsky KE, Berlin JA. Assessing the generalizability of prognostic information, Ann Intern Med 1999;130:515-524.
-
(1999)
Ann Intern Med
, vol.130
, pp. 515-524
-
-
Justice, A.C.1
Covinsky, K.E.2
Berlin, J.A.3
-
42
-
-
29644447778
-
Local literature bias in genetic epidemiology: An empirical evaluation of the Chinese literature
-
Pan Z, Trikalinos TA, Kavvoura FK et al. Local literature bias in genetic epidemiology: An empirical evaluation of the Chinese literature. PLoS Med 2005;2:e334.
-
(2005)
PLoS Med
, vol.2
-
-
Pan, Z.1
Trikalinos, T.A.2
Kavvoura, F.K.3
-
43
-
-
23844534811
-
Reporting recommendations for tumor marker prognostic studies (REMARK)
-
McShane LM, Altman DG, Sauerbrei W et al. Reporting recommendations for tumor marker prognostic studies (REMARK). J Natl Cancer Inst 2005;97:1180 -1184.
-
(2005)
J Natl Cancer Inst
, vol.97
, pp. 1180-1184
-
-
McShane, L.M.1
Altman, D.G.2
Sauerbrei, W.3
-
44
-
-
23244461458
-
Selective reporting biases in cancer prognostic factor studies
-
Kyzas PA, Loizou KT, Ioannidis JP. Selective reporting biases in cancer prognostic factor studies. J Natl Cancer Inst 2005;97:1043-1055.
-
(2005)
J Natl Cancer Inst
, vol.97
, pp. 1043-1055
-
-
Kyzas, P.A.1
Loizou, K.T.2
Ioannidis, J.P.3
-
45
-
-
33846563409
-
Why most published research findings are false
-
Ioannidis JP. Why most published research findings are false. PLoS Med 2005;2:e124.
-
(2005)
PLoS Med
, vol.2
-
-
Ioannidis, J.P.1
-
46
-
-
0037565314
-
Levels of absolute survival benefit for systemic therapies of advanced cancer: A call for standards
-
Ioannidis JP, Pavlidis N. Levels of absolute survival benefit for systemic therapies of advanced cancer: A call for standards. Eur J Cancer 2003;39:1194-1198.
-
(2003)
Eur J Cancer
, vol.39
, pp. 1194-1198
-
-
Ioannidis, J.P.1
Pavlidis, N.2
-
47
-
-
0037674049
-
Overall survival is not a realistic end point for clinical trials of new drugs in advanced solid tumors: A critical assessment based on recently reported phase III trials in colorectal and breast cancer
-
Di Leo A, Bleiberg H, Buyse M. Overall survival is not a realistic end point for clinical trials of new drugs in advanced solid tumors: A critical assessment based on recently reported phase III trials in colorectal and breast cancer. J Clin Oncol 2003;21:2045-2047.
-
(2003)
J Clin Oncol
, vol.21
, pp. 2045-2047
-
-
Di Leo, A.1
Bleiberg, H.2
Buyse, M.3
-
48
-
-
10244261646
-
Tumor marker utility grading system: A framework to evaluate clinical utility of tumor markers
-
Hayes DF, Bast RC, Desch CE et al. Tumor marker utility grading system: A framework to evaluate clinical utility of tumor markers. J Natl Cancer Inst 1996;88:1456-1466.
-
(1996)
J Natl Cancer Inst
, vol.88
, pp. 1456-1466
-
-
Hayes, D.F.1
Bast, R.C.2
Desch, C.E.3
-
49
-
-
0033552264
-
Users' Guides to the Medical Literature: XIX. Applying clinical trial results B. Guidelines for determining whether a drug is exerting (more than) a class effect
-
McAlister FA, Laupacis A, Wells GA et al. Users' Guides to the Medical Literature: XIX. Applying clinical trial results B. Guidelines for determining whether a drug is exerting (more than) a class effect. JAMA 1999;282:1371-1377.
-
(1999)
JAMA
, vol.282
, pp. 1371-1377
-
-
McAlister, F.A.1
Laupacis, A.2
Wells, G.A.3
-
50
-
-
11844302840
-
Treating individuals 2. Subgroup analysis in randomised controlled trials: Importance, indications, and interpretation
-
Rothwell PM. Treating individuals 2. Subgroup analysis in randomised controlled trials: Importance, indications, and interpretation. Lancet 2005; 365:176-186.
-
(2005)
Lancet
, vol.365
, pp. 176-186
-
-
Rothwell, P.M.1
-
51
-
-
33750601244
-
Gene signature evaluation as a prognostic tool: Challenges in the design of the MINDACT trial
-
Bogaerts J, Cardoso F, Buyse M et al. Gene signature evaluation as a prognostic tool: Challenges in the design of the MINDACT trial. Nat Clin Pract Oncol 2006;3:540-551.
-
(2006)
Nat Clin Pract Oncol
, vol.3
, pp. 540-551
-
-
Bogaerts, J.1
Cardoso, F.2
Buyse, M.3
-
52
-
-
0034680102
-
Molecular portraits of human breast tumours
-
Perou CM, Sorlie T, Eisen MB et al. Molecular portraits of human breast tumours. Nature 2000;406:747-752.
-
(2000)
Nature
, vol.406
, pp. 747-752
-
-
Perou, C.M.1
Sorlie, T.2
Eisen, M.B.3
-
53
-
-
33645825388
-
Multicenter validation of a gene expression-based prognostic signature in lymph node-negative primary breast cancer
-
Foekens JA, Atkins D, Zhang Y et al. Multicenter validation of a gene expression-based prognostic signature in lymph node-negative primary breast cancer. J Clin Oncol 2006;24:1665-1671.
-
(2006)
J Clin Oncol
, vol.24
, pp. 1665-1671
-
-
Foekens, J.A.1
Atkins, D.2
Zhang, Y.3
-
54
-
-
33746104903
-
Consensus guidelines for microarray gene expression analyses in leukemia from three European leukemia networks
-
Staal FJ, Cario G, Cazzaniga G et al. Consensus guidelines for microarray gene expression analyses in leukemia from three European leukemia networks. Leukemia 2006;20:1385-1392.
-
(2006)
Leukemia
, vol.20
, pp. 1385-1392
-
-
Staal, F.J.1
Cario, G.2
Cazzaniga, G.3
-
55
-
-
20144366490
-
Validation of tissue microarray immunohistochemistry staining and interpretation in diffuse large B-cell lymphoma
-
Zu Y, Steinberg SM, Campo E et al. Validation of tissue microarray immunohistochemistry staining and interpretation in diffuse large B-cell lymphoma. Leuk Lymphoma 2005;46:693-701.
-
(2005)
Leuk Lymphoma
, vol.46
, pp. 693-701
-
-
Zu, Y.1
Steinberg, S.M.2
Campo, E.3
-
56
-
-
19944429996
-
Interlaboratory comparability study of cancer gene expression analysis using oligonucleotide microarrays
-
Dobbin KK, Beer DG, Meyerson M et al. Interlaboratory comparability study of cancer gene expression analysis using oligonucleotide microarrays. Clin Cancer Res 2005;11:565-572.
-
(2005)
Clin Cancer Res
, vol.11
, pp. 565-572
-
-
Dobbin, K.K.1
Beer, D.G.2
Meyerson, M.3
|