Cited by 653Gene expression and cancer classificationBreast Cancer Treatment StudiesCancer-related Molecular Pathways

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Common markers of proliferation

Whitfield, Michael L., George, Lacy K., Grant, Gavin D., Perou, Charles M.·2006·Nature Reviews Cancer

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Abstract

When normal tissue and tumour samples are compared by microarray analysis, the biggest differences most often occur in the expression levels of genes that control cell proliferation. However, this difference is detected whenever mRNA samples that are taken from two cell populations with different proliferation rates are compared. Although the exact genes that comprise this 'proliferation signature' often differ, they are almost always genes that are involved in the fundamental process of cell proliferation. Can the proliferation signature be used to improve our understanding of the cell cycle and cancer pathogenesis, as well as being used as a biomarker for cancer diagnosis and prognosis?

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Perou, C., Sørlie, T., Eisen, M., van de Rijn, M., Jeffrey, S., Rees, C. A., Pollack, J., Ross, D., Johnsen, H., Akslen, L., et al. (2000) · Nature · doi:10.1038/35021093 · Cited by 16,551
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Sørlie, T., Perou, C. M., Tibshirani, R. J., Aas, T., Geisler, S. B., Johnsen, H., Hastie, T. J., Eisen, M. B., van de Rijn, M., Jeffrey, S. S., et al. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.191367098 · Cited by 11,506
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Alizadeh, A. A., Eisen, M. B., Davis, R. E., Ma, C., Lossos, I. S., Rosenwald, A., Boldrick, J. C., Sabet, H., Tran, T., Yu, X., et al. (2000) · Nature · doi:10.1038/35000501 · Cited by 9,925
Gene expression profiling predicts clinical outcome of breast cancer
van 't Veer, L. J., Dai, H., van de Vijver, M. J., He, Y. D., Hart, A. A. M., Mao, M., Peterse, H. L., van der Kooy, K., Marton, M. J., Witteveen, A. T., et al. (2002) · Nature · doi:10.1038/415530a · Cited by 9,536
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Paik, S., Shak, S., Tang, G., Kim, C., Baker, J. B., Cronin, M. T., Baehner, F. L., Walker, M. G., Watson, D., Park, T., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa041588 · Cited by 6,321
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Futreal, P. A., Coin, L., Marshall, M., Down, T., Hubbard, T., Wooster, R., Rahman, N., & Stratton, M. R. (2004) · Nature Reviews Cancer · doi:10.1038/nrc1299 · Cited by 3,184
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Ross, D. T., Scherf, U., Eisen, M. B., Perou, C. M., Rees, C., Spellman, P., Iyer, V., Jeffrey, S. S., Van de Rijn, M., Waltham, M., et al. (2000) · Nature Genetics · doi:10.1038/73432 · Cited by 2,088
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Cho, R. J., Campbell, M. J., Winzeler, E. A., Steinmetz, L. M., Conway, A. R., Wodicka, L. M., Wolfsberg, T. G., Gabrielian, A. E., Landsman, D., Lockhart, D. J., et al. (1998) · Molecular Cell · doi:10.1016/s1097-2765(00)80114-8 · Cited by 2,024
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Iyer, V. R., Eisen, M. B., Ross, D. T., Schuler, G. D., Moore, T. A., Lee, J. C. F., Trent, J. M., Staudt, L. M., Hudson, J., Boguski, M. S., et al. (1999) · Science · doi:10.1126/science.283.5398.83 · Cited by 1,966
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Segal, E., Friedman, N., Koller, D., & Regev, A. (2004) · Nature Genetics · doi:10.1038/ng1434 · Cited by 685
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Chung, C. H., Parker, J. S., Karaca, G., Wu, J., Funkhouser, W. K., Moore, D., Butterfoss, D., Xiang, D., Zanation, A., Yin, X., et al. (2004) · Cancer Cell · doi:10.1016/s1535-6108(04)00112-6 · Cited by 678
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Troyanskaya, O. G., Dolinski, K. J., Owen, A. B., Altman, R. B., & Botstein, D. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0832373100 · Cited by 528
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Latulippe, É., Satagopan, J. M., Smith, A., Scher, H. I., Scardino, P. T., Reuter, V. E., & Gerald, W. L. (2002) · PubMed · Cited by 523
Periodic gene expression program of the fission yeast cell cycle
Rustici, G., Mata, J., Kivinen, K., Lió, P., Penkett, C. J., Burns, G., Hayles, J., Brāzma, A., Nurse, P., & Bähler, J. (2004) · Nature Genetics · doi:10.1038/ng1377 · Cited by 490
Transcriptional regulation and function during the human cell cycle
Cho, R. J., Huang, M., Campbell, M. J., Dong, H., Steinmetz, L., Sapinoso, L., Hampton, G., Elledge, S. J., Davis, R. W., & Lockhart, D. J. (2001) · Nature Genetics · doi:10.1038/83751 · Cited by 455
Ribonucleotide Reductase—a Radical Enzyme
Reichard, P. A., & Ehrenberg, A. (1983) · Science · doi:10.1126/science.6306767 · Cited by 426
Functionally homologous cell cycle control genes in budding and fission yeast
Beach, D., Durkacz, B. W., & Nurse, P. (1982) · Nature · doi:10.1038/300706a0 · Cited by 405
Production of large numbers of mitotic mammalian cells by use of the reversible microtubule inhibitor Nocodazole
Zieve, G. W., Turnbull, D. A., Mullins, J. M., & McIntosh, J. R. (1980) · Experimental Cell Research · doi:10.1016/0014-4827(80)90279-7 · Cited by 394
New views of the biochemistry of eucaryotic DNA replication revealed by aphidicolin, an unusual inhibitor of DNA polymerase α
Huberman, J. A. (1981) · Cell · doi:10.1016/0092-8674(81)90426-8 · Cited by 383
Global gene expression analysis of gastric cancer by oligonucleotide microarrays.
Hippo, Y., Taniguchi, H., Tsutsumi, S., Machida, N., Chong, J., Fukayama, M., Kodama, T., & Aburatani, H. (2002) · PubMed · Cited by 349
Golgi Architecture and Inheritance
Shorter, J., & Warren, G. (2002) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev.cellbio.18.030602.133733 · Cited by 348
Distinctive molecular profiles of high-grade and low-grade gliomas based on oligonucleotide microarray analysis.
Rickman, D. S., Bobek, M. P., Misek, D. E., Kuick, R. D., Blaivas, M., Kurnit, D. M., Taylor, J. M. G., & Hanash, S. (2001) · PubMed · Cited by 346
Studies on synchronous division of tissue culture cells initiated by excess thymidine
Bootsma, D., Budke, L., & Vos, O. (1964) · Experimental Cell Research · doi:10.1016/s0014-4827(64)81035-1 · Cited by 342
Molecular portraits and the family tree of cancer
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Self-citation
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Dai, H. A., Veer, L. V., Lamb, J. R., He, Y. D., Mao, M., Fine, B. M., Bernards, R., van de Vijver, M. J., Deutsch, P., Sachs, A. B., et al. (2005) · Cancer Research · doi:10.1158/0008-5472.can-04-3953 · Cited by 251
The Cell Cycle–Regulated Genes of Schizosaccharomyces pombe
Oliva, A., Rosebrock, A. P., Ferrezuelo, F., Pyne, S., Chen, H., Skiena, S., Futcher, B., & Leatherwood, J. (2005) · PLoS Biology · doi:10.1371/journal.pbio.0030225 · Cited by 208
Identification of Cell Cycle-regulated Genes in Fission Yeast
Peng, X., Karuturi, R. K. M., Miller, L. D., Lin, K., Jia, Y., Akalın, P., Wang, L., Wong, L., Liu, E. T., Balasubramanian, M. K., et al. (2004) · Molecular Biology of the Cell · doi:10.1091/mbc.e04-04-0299 · Cited by 170
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Minichromosome Maintenance Protein 2 Is a Strong Independent Prognostic Marker in Breast Cancer
Gonzalez, M., Pinder, S. E., Callagy, G. M., Vowler, S. L., Morris, L. S., Bird, K., Bell, J. A., Laskey, R. A., & Coleman, N. (2003) · Journal of Clinical Oncology · doi:10.1200/jco.2003.04.121 · Cited by 158
Centrifugal elutriation: Separation of spermatogenic cells on the basis of sedimentation velocity
Grabske, R. J., Lake, S., Gledhill, B. L., & Meistrich, M. L. (1975) · Journal of Cellular Physiology · doi:10.1002/jcp.1040860119 · Cited by 154
The Cell Cycle as a Target for Cancer Therapy: Basic and Clinical Findings with the Small Molecule Inhibitors Flavopiridol and UCN-01
Senderowicz, A. M. (2002) · The Oncologist · doi:10.1634/theoncologist.7-suppl_3-12 · Cited by 119
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Geminin predicts adverse clinical outcome in breast cancer by reflecting cell‐cycle progression
Gonzalez, M., Tachibana, K.-E. K., Chin, S., Callagy, G. M., Madine, M. A., Vowler, S. L., Pinder, S. E., Laskey, R. A., & Coleman, N. (2004) · The Journal of Pathology · doi:10.1002/path.1625 · Cited by 98
The G2 DNA Damage Checkpoint Delays Expression of Genes Encoding Mitotic Regulators
Crawford, D. F., & Piwnica-Worms, H. (2001) · Journal of Biological Chemistry · doi:10.1074/jbc.m103414200 · Cited by 79
Use of the mitotic selection procedure for cell cycle analysis
Schneiderman, M. H., Dewey, W. C., Leeper, D. B., & Nagasawa, H. T. (1972) · Experimental Cell Research · doi:10.1016/0014-4827(72)90398-9 · Cited by 78
Aberrant expression of minichromosome maintenance protein-2 and Ki67 in laryngeal squamous epithelial lesions
Chatrath, P., Scott, I. S., Morris, L. S., Davies, R. J., Rushbrook, S., Bird, K., Vowler, S. L., Grant, J. W., Saeed, I. T., Howard, D. J., et al. (2003) · British Journal of Cancer · doi:10.1038/sj.bjc.6601234 · Cited by 77
Role for a YY1-Binding Element in Replication-Dependent Mouse Histone Gene Expression
Eliassen, K. A., Baldwin, A. E., Sikorski, E. M., & Hurt, M. M. (1998) · Molecular and Cellular Biology · doi:10.1128/mcb.18.12.7106 · Cited by 51
Rejoinder: whole-culture synchronization cannot, and does not, synchronize cells
COOPER, S. (2004) · Trends in biotechnology · doi:10.1016/j.tibtech.2004.04.011 · Cited by 36
Is whole-culture synchronization biology's ?perpetual-motion machine??
COOPER, S. (2004) · Trends in biotechnology · doi:10.1016/j.tibtech.2004.04.009 · Cited by 35
Golgi apparatus partitioning during cell division (Review)
Rabouille, C., & Jokitalo, E. (2003) · Molecular Membrane Biology · doi:10.1080/0968768031000084163 · Cited by 25
Reply: whole-culture synchronization ? effective tools for cell cycle studies
Spellman, P. (2004) · Trends in biotechnology · doi:10.1016/j.tibtech.2004.04.010 · Cited by 24
Final words: cell age and cell cycle are unlinked
Spellman, P. T. (2004) · Trends in biotechnology · doi:10.1016/j.tibtech.2004.04.012 · Cited by 13

Research works printed but not linked: 2

Stewart, C. F. & Ratain, M. J. in Cancer: Principles and Practice in Oncology (eds. DeVita, V. T., Hellman, S. & Rosenberg, S. A.) 452–467 (Lippincott–Raven, Philadelphia, 1997).
O'Dwyer, P. J., Johnson, S. W. & Hamilton, T. C. in Cancer Principles and Practices of Oncology (eds. DeVita, V. T., Hellman, S. & Rosenberg, S. A.) 418–432 (Lippincott–Raven, Philadelphia, 1997).

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Authors: Whitfield, M. L., George, L. K., Grant, G. D., & Perou, C. M.
Affiliations: Dartmouth College (US)
University of North Carolina at Chapel Hill (US)
Corresponding author: Whitfield, Michael L.
ORCID: Whitfield, Michael L.
Grant, Gavin D.
Perou, Charles M.
Venue: Nature Reviews Cancer
Publisher: Springer Science and Business Media LLC
Published: 2006-02
Volume: 6
Issue: 2
Pages: 99-106
ISSN: 1474-175X (ISSN-L)
1474-1768
DOI: 10.1038/nrc1802
OpenAlex: W2018173663
Cited by: 650
References: 66
Citations by year: 2026: 31 · 2025: 46 · 2024: 35 · 2023: 54 · 2022: 53 · 2021: 54 · 2020: 33 · 2019: 29 · 2018: 22 · 2017: 27 · 2016: 34 · 2015: 15 · 2014: 17 · 2013: 27 · 2012: 26
FWCI: 2.57
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
Locations: Nature reviews. Cancer (publishedVersion)
PubMed (publishedVersion)
Funders: National Cancer Institute
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Breast Cancer Treatment Studies
Health Sciences › Medicine › Oncology › Cancer-related Molecular Pathways
Keywords: cell proliferation, proliferation signature, gene expression profiling, tumor markers, cell cycle, carcinogenesis, cancer diagnosis, cancer prognosis
MeSH terms: Cell Cycle, Genetic Markers, Humans, Neoplasms, Prognosis, RNA, Messenger, Biomarkers, Tumor, Gene Expression Profiling, Cell Proliferation

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