Literature DB >> 15066318

TP73 alterations in cervical carcinoma.

Rogéria Craveiro1, Sandra Costa, Daniela Pinto, Lurdes Salgado, Luisa Carvalho, Carla Castro, Isabel Bravo, Carlos Lopes, Isabel Silva, Rui Medeiros.   

Abstract

Infection with human papillomaviruses (HPV) is essential in the carcinogenesis of the uterine cervix. However, a complex interrelation between viral and cellular genes is necessary for cell-cycle control deregulation and development and progression of cervical cancer induction. The TP73 gene is localized in 1p36.3 band, which is often deleted by loss of heterozygosity (LOH) in human cancers. We analyzed the p73 cytosine thymine polymorphism and LOH in this locus by polymerase chain reaction restriction fragment length polymorphism in 134 DNA samples from biopsies of 67 primary untreated invasive cervix tumors and the corresponding peripheral blood. Genotype frequencies of 56.7% for homozygous genotype GC/GC and 43.3% for heterozygous genotype GC/AT were found. The presence of the GC/AT genotype in tumors was associated with lower age at menarche (P=0.039) and high parity (P=0.015). In 20.0% of DNA tumor samples, the AT allele was lost compared with their DNA normal blood pairs. The AT allele was conserved in women with high parity. This was not the case in the group with low parity, with 33.3% of patients showing loss of the AT allele in tumor DNA (P=0.041). These results suggest that TP73 genetic alterations may contribute to the genesis and/or progression of cervical carcinoma in an HPV-infected transformation zone under prolonged exposure to events related to pregnancy.

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Year:  2004        PMID: 15066318     DOI: 10.1016/j.cancergencyto.2003.08.020

Source DB:  PubMed          Journal:  Cancer Genet Cytogenet        ISSN: 0165-4608


  8 in total

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7.  Association of P73 polymorphisms with susceptibilities of cervical carcinoma: a meta-analysis.

Authors:  Xianghua Liang; Bingxiang Chen; Jianxin Zhong
Journal:  Oncotarget       Date:  2017-05-24

8.  TP73 is a credible biomarker for predicting clinical progression and prognosis in cervical cancer patients.

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Journal:  Biosci Rep       Date:  2019-08-05       Impact factor: 3.840

  8 in total

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