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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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“Haematoxylin and eosin (H&E) and KI67, a marker of cell proliferation22, staining of brainstem tumors from mice euthanized at the completion of 10 days treatment confirmed a dramatic reduction of tumor burden compared to controls (Fig. 4C).”
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“The assessment of the cell proliferation index based on Ki67 immunoreactivity is valuable for the diagnosis and prediction of the prognosis of various neoplasms, as disruptions in the cellular proliferation process are essential events in oncogenesis [19, 20].”
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“This will involve the identification of biomarkers of proliferation associated to each of the cancers [33].”
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“Additionally, genes that are markers of cell proliferation 102,103 (including Mki67 , Ccnd1 , Ccnd2 , and Mcm5 ) were increased (Figure 5C,D,E) within this cell population.”
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“Pearson correlation was used to estimate the correlation of gene expression and several cancer-related molecular scores, including hypoxia [27], stemness [28], proliferation [29] and immune [30], which were calculated based on mRNA expression profiles (details in Supplementary Methods).”
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“We used several additional assays to confirm the cell proliferation results, including the Click-iT Plus EdU Cell Proliferation imaging assay as well as an immunofluorescence staining assay that targets the cell proliferation marker, Ki67 (52, 53).”
Liu, Y., Wang, Z., Yang, L., Zhang, M., Li, M., Zhang, J., Tang, L., Jiang, Z., Li, X., Deng, J., et al. (2024) · European Journal of Radiology · doi:10.1016/j.ejrad.2024.111782 · Cited by 3
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Research progress on cancer-related epigenetic switches
Yu, C., Sun, J., Tong, J., Xu, Z., & Zhang, Q. (2025) · Investigational New Drugs · doi:10.1007/s10637-025-01555-2 · Cited by 3
“%) showed the shortest median OS and MFS. Patients with dual-low expression (SMYD3-low/ASCL2-low) demonstrated optimal prognosis, while those exhibiting discordant expression patterns (SMYD3-low/ASCL2-high or SMYD3-high/ASCL2-low) displayed intermediate clinical outcomes [14].”
InfluentialZhou, S., Lizarazo, S., Chorghade, S., Mouli, L., Cheng, R., Rajendra, K. C., Kalsotra, A., & Bortle, K. V. (2025) · Nature Communications · doi:10.1038/s41467-025-65448-x · Cited by 3
“We speci fi cally considered key markers that are either upregulated during epithelial-mesenchymal transition (EMT) — an indirect proxy for tumor migration and invasion phenotypes — or other gene markers commonly shared by cell proliferation programs 41,42 .”
Finding Influential Genes Using Gene Expression Data and Boolean Models of Metabolic Networks
Tamura, T., Akutsu, T., Lin, C., & Yang, J. (2016) · IEEE International Conference on Bioinformatics and Bioengineering (BIBE) · doi:10.1109/bibe.2016.25 · Cited by 3
“Many of them are classified into two categories: sequence-based approach [12] and expressionbased approach [31].”
BackgroundClinical Relevance of “Biomarkers” in Cancer Metabolism
Jha, N. K., Jha, S. K., Sharma, A., Yadav, R., Pandey, P., Kesari, K. K., Kumar, N., Nand, P., Agrahari, M., & Gupta, N. S. (2020) · Springer eBooks · doi:10.1007/978-981-15-1991-8_9 · Cited by 3
Stemness Correlates Inversely with MHC Class I Expression in Pediatric Small Round Blue Cell Tumors
Müller, L., Kschischo, M., Vokuhl, C., Stahl, D. J., & Gütgemann, I. (2022) · Cancers · doi:10.3390/cancers14153584 · Cited by 3
“Non classical MHC class I proteins (HLA‐E/‐F/‐G) were also negatively correlated with the mRNAsi, while proliferation genes such as BUB1B, CCNB1, and MKI67 were positively correlated with the mRNAsi (similar findings were observed for other previously reported prolifer‐ ation genes [25]: BUB1, CCNB1, CCNE1, MYBL2, PLK…”
BackgroundResultKhare, S., Madhok, A., Patta, I., Sukla, K. K., Wagh, V. V., Kunte, P. S., RAUT, D. A., Bhat, D., Kumaran, K., Fall, C. H. D., et al. (2023) · Journal of Developmental Origins of Health and Disease · doi:10.1017/s204017442200068x · Cited by 3
Ghorbani, F., Karimi, S., Boustan, A., Ebrahimzadeh‐Bideskan, A., & Saburi, E. (2023) · PubMed Central · doi:10.22038/ijbms.2023.69608.15158 · Cited by 3
“One of these proteins is CyclinD1, which is encoded by the CCND1 gene (35, 36).”
BackgroundLiu, Y., Huang, S., Dong, G., Hou, C., Zhao, Y., & Zhang, D. (2024) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2024.108107 · Cited by 3
A developmental atlas of mouse vestibular-like inner ear organoids
Matern, M. S., & Heller, S. (2025) · iScience · doi:10.1016/j.isci.2025.111817 · Cited by 3
“39,40 This progressive development of supporting cells is also seen between DIV16 and DIV21, with further repression of Sox11 and Top2a and upregulation of supporting cell genes Otoa , Otol1 , and Tecta (Figure 5E).”
Zieliński, R., Kobos, J. W., & Zakrzewska, A. (2016) · Ultrastructural Pathology · doi:10.1080/01913123.2016.1192234 · Cited by 3
“Although the pathological examination of major salivary gland tumors should be based on an evaluation of histopathological features, evaluation of proliferation markers and ultrastructure of the tumor may help in understanding the pathology of the assessed neoplasms [5,6].”
BackgroundMizukawa, Y., Amagase, Y., & Urushidani, T. (2020) · The Journal of Toxicological Sciences · doi:10.2131/jts.45.449 · Cited by 3
“Of these, dose- and time-dependency of the induction of three genes, geminin (Gmnn, 1378056_at), topoisomerase IIα (Topo2a, 1372186_a_at), and marker of proliferation Ki-67 (Mki67, 1374775_at), which are established gene markers of proliferation (Whitfield et al., 2006), are shown in Fig.”
Wu, J., Lin, Z., Ji, D., Li, Z., Zhang, H., Lu, S., Wang, S., Liu, X., & Ao, L. (2022) · Cancers · doi:10.3390/cancers14163957 · Cited by 3
“The average expression levels of 43 proliferation-associated genes were also used to calculate the proliferation scores [29] (Supplementary Table S3).”
BackgroundMethodChromosome instability leaves its mark
Pollack, J. R. (2006) · Nature Genetics · doi:10.1038/ng0906-973 · Cited by 3
Sun, C., Yang, B., Li, X., Zhang, W., Fan, J., Zhou, Y., Li, W., Yin, J., Guo, E., Li, X., et al. (2022) · Research Square · doi:10.21203/rs.3.rs-1053777/v1 · Cited by 3
Zheng, J., Xie, Z., Niu, L., Zheng, G., Li, R., Dan, H., Duan, L., Wu, H., Ren, G., Dou, X., et al. (2022) · Research Square · doi:10.21203/rs.3.rs-1984416/v1 · Cited by 5
Nguyen, M. T., & Lee, W. (2023) · Korean Journal of Physiology and Pharmacology · doi:10.4196/kjpp.2023.27.3.277 · Cited by 2
“Additionally, we further analyzed the expression levels of CCNB1, CCND1, and PCNA, which are known to induce cell proliferation and cell cycle progression [32], using qRT-PCR to confirm the effect of miR-103-3p on cell proliferation.”
MethodVikal, A., Maurya, R., Patel, P., Narang, R. K., & Kurmi, B. D. (2025) · Journal of Drug Delivery Science and Technology · doi:10.1016/j.jddst.2025.107322 · Cited by 3
Semmy, D., Abe, K., Honda, M., Omori, H., Ogamino, S., Mercurio, T. C., Asakawa, K., Nishimura, E. K., Oki, S., Ohkawa, Y., et al. (2025) · Aging Cell · doi:10.1111/acel.70258 · Cited by 3
“This rejuvenated group included genes related to cell cycle progression ( top2 , cdk4 , cdk7 , and eif4 ) (Whitfield et al. 2006) and ER stress response ( atf4 , hsp90b1 , pfdn2 , and ddit3 ), which were downregulated with age but upregulated in aged (Tm) samples (Figure 3B and Figure S8C).”
Suiwal, S., Stachon, T., Kumar, V., Fries, F. N., Hsu, S.-L., Liu, S., Li, S., Kundu, S., Seitz, B., Amini, M., et al. (2026) · Experimental Eye Research · doi:10.1016/j.exer.2026.110934 · Cited by 2
Zhang, S., Li, M., Tan, Y., Zhang, J., Liu, Y., Jiang, W., Li, X., Qi, H., Tang, L., Ji, R., et al. (2022) · Journal of Molecular Medicine · doi:10.1007/s00109-022-02266-4 · Cited by 2
“Molecular scores including proliferation [20], stemness [21] and hypoxia [22] scores of samples were investigated based on their mRNA expression profiles (see Supplementary Methods).”
BackgroundNguyen, M. T., Ly, Q. K., Kim, H., & Lee, W. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241814335 · Cited by 2
“In addition, we determined the transcript levels of PCNA, CCNB1, and CCND1, which are known to induce cell cycle progression and proliferation [26], to verify the effect of siFLII on cell proliferation.”
BackgroundNguyen, M. T., Ly, Q. K., Kim, H., & Lee, W. (2023) · Cells · doi:10.3390/cells13010009 · Cited by 2
“In addition, we analyzed the transcript levels of proliferating cell nuclear antigen (PCNA), cyclin B1, and cyclin D1, which promote the cell cycle and proliferation [44].”
MethodKuenzel, N. A., Dobner, J., Reichert, D., Rossi, A., Boukamp, P., & Esser, C. (2024) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2024.08.037 · Cited by 2
Porras‐Gómez, T. J., & Moreno-Méndoza, N. (2024) · Zygote · doi:10.1017/s0967199424000364 · Cited by 2
Enhanced Natural Killer Cell Proliferation by Stress‐Induced Feeder Cells
Lee, D., Song, M., & Kwon, S. (2025) · Biotechnology and Bioengineering · doi:10.1002/bit.28951 · Cited by 2
“The selected markers included MKI67 , which indicates ongoing cell cycle progression (Koskinen Holm and Qu 2022; Whitfield et al. 2006); PCNA involved in forming a protein complex crucial for DNA replication during the DNA synthesis phase (Kubben et al. 1994; Whitfield et al. 2006); and MCM2 ,…”
InfluentialKiran, S., Xue, Y., Sarker, D. B., & Sang, Q. A. (2025) · Cancers · doi:10.3390/cancers17060997 · Cited by 2
“Caspase-9 is involved in caspase-dependent apoptosis [47], whereas Ki-67 is a marker of tumor cell proliferation [48,49].”
Chen, C., Zhang, Q., Li, J., Zhou, X., Gao, D., Li, L., Huang, D.-B., Wang, J.-Z., & Zeng, Z.-T. (2025) · Advancement of science · doi:10.1002/advs.202504929 · Cited by 5
Trophic and temporal dynamics of macrophage biology in human inner ear organogenesis
Deng, Y., Ehiogu, B., Luca, E., Dabdoub, A., Cao, K. L., Wells, C. A., & Nayagam, B. A. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1690583 · Cited by 2
“Speci fi cally, Mac 7 populations were enriched for genes implicated in important roles in cell proliferation ( MELK ) (20), cell division ( BUB1 and KIF11 ) (21), DNA synthesis and repair ( POLQ and RRM2 ) (22), and cytoskeletal remodeling ( DIAPH3 ) (23, 24).”
Biomarkers for Breast Cancer: Towards the Proposition of Clinically Relevant Tools
Daidone, M. G., Cappelletti, V., Paradiso, A., Gion, M., Harbeck, N., Sweep, F. C. G. J., & Schmitt, M. (2007) · Springer eBooks · doi:10.1007/978-3-540-36781-9_3 · Cited by 2
Chondrocyte Turnover in Lung Cartilage
Gopar‐Cuevas, Y., Niderhauser‐García, A., Ancer-Arellano, A., Miranda-Maldonado, I. C., Chávez-Briones, M.-D.-L., Rodríguez‐Flores, L. E., Ortega‐Martínez, M., & Jaramillo‐Rangel, G. (2018) · InTech eBooks · doi:10.5772/intechopen.70860 · Cited by 2
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“This may explain why HCC patients gradually develop drug resistance after targeted therapy for a certain period [8, 19].”
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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