Comparative Study on Detection and Typing of Human Papillomavirus (HPV) Infection with Microarray Using Paraffin-Embedded Specimens from Squamous Cell Carcinoma and Cervical Precursor Lesions

Prevalence and type distribution of human papillomavirus (HPV) in squamous cell carcinoma (SCC) and cervical intraepithelial neoplasia (CIN) were investigated in Jiangsu Province, China. A total of 344 tissue sample cases with cervical squamous-cell carcinoma (SCC) and 135 with CIN I, 117 with CIN I...

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Published inJournal of nanoscience and nanotechnology Vol. 17; no. 2; p. 990
Main Authors Gong, Peiyao, Wang, Zhihui, Geng, Jianxiang, Tan, Xiaoru
Format Journal Article
LanguageEnglish
Published United States 01.02.2017
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Summary:Prevalence and type distribution of human papillomavirus (HPV) in squamous cell carcinoma (SCC) and cervical intraepithelial neoplasia (CIN) were investigated in Jiangsu Province, China. A total of 344 tissue sample cases with cervical squamous-cell carcinoma (SCC) and 135 with CIN I, 117 with CIN II, and 220 with CIN III were obtained from women undergoing biopsy or surgery. 33 samples of normal cervical tissue were collected with biopsy in inspected women. HPV detection and typing were examined by polymerase chain reaction (PCR) and gene-chip. Results showed that about 15.99% of cervical squamous-cell carcinoma, 34.09% of CIN III, 27.35% of CIN II and 10.37% of CIN I specimens exhibited multiple infections. Moreover, all total positive rate, single infection and multiple infection rates for the CIN I, CIN II, CIN III and SCC groups had significant difference (P < 0.05) when compared with the normal tissue group. The total positive rate, single infection and multiple infection rates for the CIN I, CIN II and CIN III groups showed significant difference (P < 0.05) when compared with the SCC group. All the CIN II, CIN III and SCC had intimate relationship with HPV infection. The high prevalence of HPV type 16, 18, 31, 33, 52, 58 and 59 in the cervical SCC deserves more attention in Jiangsu province.
ISSN:1533-4880
DOI:10.1166/jnn.2017.12769