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Common markers of proliferation
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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Metadata
- 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.
- Venue
- Nature Reviews Cancer
- Published
- 2006-02
- Volume
- 6
- Issue
- 2
- Pages
- 99-106
- ISSN
- 1474-175X (ISSN-L)
- 1474-1768
- 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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