BACKGROUND: Certain human papillomaviruses (HPVs) are the causative agents of cervical carcinomas in humans. The identification of the link between infection and cancer has resulted in the successful establishment of clinical strategies such as screening or vaccination programs, aiming to prevent this pathology. More than 150 different HPVs have been described and classified and the large majority of them are not related to cancer. The genus Alphapapillomavirus encompasses many PVs, some of which are identified in humans as oncogenic, according to the epidemiological connection between infection and cervical cancer. Variants of some of these "high-risk" HPVs may have an increased involvement in cervical cancer, although definitive data are still wanting. The aim of the present work was to analyze the presence of HPV33, HPV45 and HPV58 variants in cases of cervical cancer. METHODS: Samples from cervical lesions in the context of different cervical cancer surveys were analyzed for presence of HPV DNA. Samples positive for HPV33, HPV45 or HPV58 DNA were selected and the E6/E7 genes were amplified and sequenced. The phylogenetic relationships of these sequences were inferred using an evolutionary placement algorithm and accordingly classified at the variant level. RESULTS: All viral E6/E7 sequences were successfully placed in the classification schemes of the corresponding viruses. For HPV33 (n=23), 45 (n=61) or 58 (n=29), the distribution of variants found in cases of cervical cancer is not a random sample of the corresponding diversity. In all three HPVs, the respective A variants were more prevalent in the viral DNA-positive cases of cervical cancer analyzed. This is the first study trying to discern the phylogenetic connection between variants of the oncogenic HPV33, 45 and 58, and squamous cell carcinoma of the cervix.
BACKGROUND: Certain human papillomaviruses (HPVs) are the causative agents of cervical carcinomas in humans. The identification of the link between infection and cancer has resulted in the successful establishment of clinical strategies such as screening or vaccination programs, aiming to prevent this pathology. More than 150 different HPVs have been described and classified and the large majority of them are not related to cancer. The genus Alphapapillomavirus encompasses many PVs, some of which are identified in humans as oncogenic, according to the epidemiological connection between infection and cervical cancer. Variants of some of these "high-risk" HPVs may have an increased involvement in cervical cancer, although definitive data are still wanting. The aim of the present work was to analyze the presence of HPV33, HPV45 and HPV58 variants in cases of cervical cancer. METHODS: Samples from cervical lesions in the context of different cervical cancer surveys were analyzed for presence of HPV DNA. Samples positive for HPV33, HPV45 or HPV58 DNA were selected and the E6/E7 genes were amplified and sequenced. The phylogenetic relationships of these sequences were inferred using an evolutionary placement algorithm and accordingly classified at the variant level. RESULTS: All viral E6/E7 sequences were successfully placed in the classification schemes of the corresponding viruses. For HPV33 (n=23), 45 (n=61) or 58 (n=29), the distribution of variants found in cases of cervical cancer is not a random sample of the corresponding diversity. In all three HPVs, the respective A variants were more prevalent in the viral DNA-positive cases of cervical cancer analyzed. This is the first study trying to discern the phylogenetic connection between variants of the oncogenic HPV33, 45 and 58, and squamous cell carcinoma of the cervix.
Authors: Alyce A Chen; Daniëlle A M Heideman; Debby Boon; Tarik Gheit; Peter J F Snijders; Massimo Tommasino; Silvia Franceschi; Gary M Clifford Journal: J Virol Date: 2014-02-05 Impact factor: 5.103
Authors: Mónica Molano; Oscar Buitrago; Pablo Moreno-Acosta; Suzanne M Garland; Nicolás Morales; Antonio Huertas; Teresa Martinez; Oscar Gamboa; Sepehr N Tabrizi; Alyssa Cornall; Nubia Muñoz Journal: Oncol Lett Date: 2018-06-08 Impact factor: 2.967
Authors: Alyce A Chen; Daniëlle A M Heideman; Debby Boon; Zigui Chen; Robert D Burk; Hugo De Vuyst; Tarik Gheit; Peter J F Snijders; Massimo Tommasino; Silvia Franceschi; Gary M Clifford Journal: Virology Date: 2013-11-12 Impact factor: 3.616
Authors: Sonia Pérez; Ana Cid; Amparo Iñarrea; Mónica Pato; María José Lamas; Bárbara Couso; Margarita Gil; María Jesús Alvarez; Sonia Rey; Isabel López-Miragaya; Santiago Melón; María de Oña Journal: PLoS One Date: 2014-08-11 Impact factor: 3.240
Authors: Zigui Chen; Mark Schiffman; Rolando Herrero; Rob DeSalle; Kathryn Anastos; Michel Segondy; Vikrant V Sahasrabuddhe; Patti E Gravitt; Ann W Hsing; Robert D Burk Journal: PLoS One Date: 2013-08-16 Impact factor: 3.240