Literature DB >> 23016774

Role of cell cycle biomarkers in human papillomavirus related uterine lesions.

Pablo Conesa-Zamora1.   

Abstract

Cervical cancer (CC) is caused by a persistent infection by certain human papillomavirus (HPV) genotypes. Although Papanicolaou (Pap) Test is considered the most cost-effective test for reducing CC mortality, a considerable number of high-grade precursor lesions of CC could pass unnoticed with the Pap. The addition of high-risk human papillomavirus (HPV) genotype detection in cervical cytology has improved the sensitivity, but due to its low specificity, further biomarkers of malignancy have been searched for. Given the fact that the oncogenic role of HPV is exerted primarily by affecting cell cycle control it is not surprising that most of the useful biomarkers of HPV-related uterine lesions are cell cycle proteins, with p16 and Ki67 the most widely used. More recently, molecular profiling and marker combination tests have identified the utility of antibody cocktails such as p16/Ki67 dual and ProEx C, which detect both TOP2A and MCM2 cell cycle proteins. In this article we revise the rationale for the use of the most common cell cycle biomarkers, also including p53 and cyclin D1, and their clinical utility drawing attention to novel biomarkers and how HPV vaccination could influence their use.

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Year:  2013        PMID: 23016774

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  4 in total

1.  Systematic analysis to identify a key role of CDK1 in mediating gene interaction networks in cervical cancer development.

Authors:  Y Luo; Y Wu; Y Peng; X Liu; J Bie; S Li
Journal:  Ir J Med Sci       Date:  2015-03-19       Impact factor: 1.568

Review 2.  Clinical implications of (epi)genetic changes in HPV-induced cervical precancerous lesions.

Authors:  Renske D M Steenbergen; Peter J F Snijders; Daniëlle A M Heideman; Chris J L M Meijer
Journal:  Nat Rev Cancer       Date:  2014-06       Impact factor: 60.716

3.  Expression profiling of cervical cancers in Indian women at different stages to identify gene signatures during progression of the disease.

Authors:  Asha Thomas; Umesh Mahantshetty; Sadhana Kannan; Kedar Deodhar; Shyam K Shrivastava; Chandan Kumar-Sinha; Rita Mulherkar
Journal:  Cancer Med       Date:  2013-10-31       Impact factor: 4.452

4.  Identification of Hub Genes as Biomarkers Correlated with the Proliferation and Prognosis in Lung Cancer: A Weighted Gene Co-Expression Network Analysis.

Authors:  Xuting Xu; Limin Xu; Huilian Huang; Jing Li; Shunli Dong; Lili Jin; Zhihong Ma; Liqin Li
Journal:  Biomed Res Int       Date:  2020-06-10       Impact factor: 3.411

  4 in total

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