Robust interlaboratory reproducibility of a gene expression signature measurement consistent with the needs of a new generation of diagnostic tools

被引:38
作者
Ach, Robert A.
Floore, Arno
Curry, Bo
Lazar, Vladimir
Glas, Annuska M.
Pover, Rob
Tsalenko, Anya
Ripoche, Hugues
Cardoso, Fatima
d'Assignies, Mahasti Saghatchian
Bruhn, Laurakay
Van't Veer, Laura J.
机构
[1] Agilent Technol, Agilent Technol, Mol Technol Lab, Santa Clara, CA 95051 USA
[2] Slotervaart Med Ctr 9D, Agendia BV, NL-1066 EC Amsterdam, Netherlands
[3] Inst Gustave Roussy, F-94805 Villejuif, France
[4] Inst Jules Bordet, B-1000 Brussels, Belgium
关键词
D O I
10.1186/1471-2164-8-148
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background: The increasing use of DNA microarrays in biomedical research, toxicogenomics, pharmaceutical development, and diagnostics has focused attention on the reproducibility and reliability of microarray measurements. While the reproducibility of microarray gene expression measurements has been the subject of several recent reports, there is still a need for systematic investigation into what factors most contribute to variability of measured expression levels observed among different laboratories and different experimenters. Results: We report the results of an interlaboratory comparison of gene expression array measurements on the same microarray platform, in which the RNA amplification and labeling, hybridization and wash, and slide scanning were each individually varied. Identical input RNA was used for all experiments. While some sources of variation have measurable influence on individual microarray signals, they showed very low influence on sample-to-reference ratios based on averaged triplicate measurements in the two-color experiments. RNA labeling was the largest contributor to interlaboratory variation. Conclusion: Despite this variation, measurement of one particular breast cancer gene expression signature in three different laboratories was found to be highly robust, showing a high intralaboratory and interlaboratory reproducibility when using strictly controlled standard operating procedures.
引用
收藏
页数:10
相关论文
共 29 条
  • [1] Standardizing global gene expression analysis between laboratories and across platforms
    Bammler, T
    Beyer, RP
    Bhattacharya, S
    Boorman, GA
    Boyles, A
    Bradford, BU
    Bumgarner, RE
    Bushel, PR
    Chaturvedi, K
    Choi, D
    Cunningham, ML
    Dengs, S
    Dressman, HK
    Fannin, RD
    Farun, FM
    Freedman, JH
    Fry, RC
    Harper, A
    Humble, MC
    Hurban, P
    Kavanagh, TJ
    Kaufmann, WK
    Kerr, KF
    Jing, L
    Lapidus, JA
    Lasarev, MR
    Li, J
    Li, YJ
    Lobenhofer, EK
    Lu, X
    Malek, RL
    Milton, S
    Nagalla, SR
    O'Malley, JP
    Palmer, VS
    Pattee, P
    Paules, RS
    Perou, CM
    Phillips, K
    Qin, LX
    Qiu, Y
    Quigley, SD
    Rodland, M
    Rusyn, I
    Samson, LD
    Schwartz, DA
    Shi, Y
    Shin, JL
    Sieber, SO
    Slifer, S
    [J]. NATURE METHODS, 2005, 2 (05) : 351 - 356
  • [2] Molecular classification of cutaneous malignant melanoma by gene expression profiling
    Bittner, M
    Meitzer, P
    Chen, Y
    Jiang, Y
    Seftor, E
    Hendrix, M
    Radmacher, M
    Simon, R
    Yakhini, Z
    Ben-Dor, A
    Sampas, N
    Dougherty, E
    Wang, E
    Marincola, F
    Gooden, C
    Lueders, J
    Glatfelter, A
    Pollock, P
    Carpten, J
    Gillanders, E
    Leja, D
    Dietrich, K
    Beaudry, C
    Berens, M
    Alberts, D
    Sondak, V
    Hayward, N
    Trent, J
    [J]. NATURE, 2000, 406 (6795) : 536 - 540
  • [3] Gene signature evaluation as a prognostic tool: challenges in the design of the MINDACT trial
    Bogaerts, Jan
    Cardoso, Fatima
    Buyse, Marc
    Braga, Sofia
    Loi, Sherene
    Harrison, Jillian A.
    Bines, Jacques
    Mook, Stella
    Decker, Nuria
    Ravdin, Peter
    Therasse, Patrick
    Rutgers, Emiel
    van't Veer, Laura J.
    Piccart, Martine
    [J]. NATURE CLINICAL PRACTICE ONCOLOGY, 2006, 3 (10): : 540 - 551
  • [4] Use of gene-expression profiling to identify prognostic subclasses in adult acute myeloid leukemia
    Bullinger, L
    Döhner, K
    Bair, E
    Fröhling, S
    Schlenk, RF
    Tibshirani, R
    Döhner, H
    Pollack, JR
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2004, 350 (16) : 1605 - 1616
  • [5] Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer
    Buyse, Marc
    Loi, Sherene
    van't Veer, Laura
    Viale, Giuseppe
    Delorenzi, Mauro
    Glas, Annuska M.
    d'Assignies, Mahasti Saghatchian
    Bergh, Jonas
    Lidereau, Rosette
    Ellis, Paul
    Harris, Adrian
    Bogaerts, Jan
    Therasse, Patrick
    Floore, Arno
    Amakrane, Mohamed
    Piette, Fanny
    Rutgers, Emiel
    Sotiriou, Christos
    Cardoso, Fatima
    Piccart, Martine J.
    [J]. JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2006, 98 (17): : 1183 - 1192
  • [6] Gene expression profiling for the prediction of therapeutic response to docetaxel in patients with breast cancer
    Chang, JC
    Wooten, EC
    Tsimelzon, A
    Hilsenbeck, SG
    Gutierrez, MC
    Elledge, R
    Mohsin, S
    Osborne, CK
    Chamness, GC
    Allred, DC
    O'Connell, P
    [J]. LANCET, 2003, 362 (9381) : 362 - 369
  • [7] Dobbin KK, 2005, CLIN CANCER RES, V11, P565
  • [8] Effects of atmospheric ozone on microarray data quality
    Fare, TL
    Coffey, EM
    Dai, HY
    He, YDD
    Kessler, DA
    Kilian, KA
    Koch, JE
    LeProust, E
    Marton, MJ
    Meyer, MR
    Stoughton, RB
    Tokiwa, GY
    Wang, YQ
    [J]. ANALYTICAL CHEMISTRY, 2003, 75 (17) : 4672 - 4675
  • [9] Gene expression profiling in follicular lymphoma to assess clinical aggressiveness and to guide the choice of treatment
    Glas, AM
    Kersten, MJ
    Delahaye, LJMJ
    Witteveen, AT
    Kibbelaar, RE
    Velds, A
    Wessels, LFA
    Joosten, P
    Kerkhoven, RM
    Bernards, R
    van Krieken, JHJM
    Kluin, PM
    van't Veer, LJ
    de Jong, D
    [J]. BLOOD, 2005, 105 (01) : 301 - 307
  • [10] Converting a breast cancer microarray signature into a high-throughput diagnostic test
    Glas, Annuska M.
    Floore, Arno
    Delahaye, Leonie J. M. J.
    Witteveen, Anke T.
    Pover, Rob C. F.
    Bakx, Niels
    Lahti-Domenici, Jaana S. T.
    Bruinsma, Tako J.
    Warmoes, Marc O.
    Bernards, Rene
    Wessels, Lodewyk F. A.
    Van 't Veer, Laura J.
    [J]. BMC GENOMICS, 2006, 7 (1)