The Major E6/E7 Transcript of HPV-16 in Exfoliated Cells from Cervical Neoplasia Patients

Fujii, Takuma; Tsukazaki, Katsumi; Kiguchi, Kazushige; Kubushiro, Kaneyuki; Yajima, Masazumi; Nozawa, Shiro

doi:10.1006/gyno.1995.1213

Cited by 16 publications

(11 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Detection of HPV early gene transcripts in cervical dysplasia has been reported in a few studies. 16,17,20 The methods for E7 RNA detection described here are based on comparing the C T value with the corresponding "no RT" control, to measure the presence of E7 transcripts rather than the presence of viral DNA. HPV DNA is commonly detected in cytologically normal 6 -8 and equivocal Pap smears such as low grade SIL and atypia, 21,22 but the status of E7 transcription is unknown.…”

Section: Discussionmentioning

confidence: 99%

Measurements of Human Papillomavirus Transcripts by Real Time Quantitative Reverse Transcription-Polymerase Chain Reaction in Samples Collected for Cervical Cancer Screening

Lamarcq

Deeds

Ginzinger³

et al. 2002

The Journal of Molecular Diagnostics

View full text Add to dashboard Cite

Specific assays capable of distinguishing normal and atypical cervical changes from pre-cancerous lesions are direly needed to improve screening for cervical cancer. Specific genes transcripts that are up-regulated in dysplastic and cancer cells can be exploited as new markers for cervical cancer screening provided that they can be detected in heterogeneous populations such as those collected for Papanicolaou tests. We hypothesized that expression of the HPV early region gene E7 might distinguish between normal samples (absent expression) and high-grade lesions (detectable E7 expression). Our goal was to detect and measure gene expression in cells scraped from the cervix using real time quantitative reverse transcription-polymerase chain reaction (TaqMan). We have optimized collection and extraction procedures to provide suitable RNA for TaqMan analysis in clinical samples collected for cervical cancer screening and have demonstrated efficient measurements of housekeeping genes in these samples. HPV 16 or 18 early gene E7 transcripts were detected in 47% of samples with a clinical diagnosis of high-grade SIL and in 0% of cytologically normal samples (P ‫؍‬ 0.006). Our study demonstrates that the TaqMan assay can be reliably applied to samples collected for cervical cancer screening, and that presence of detectable HPV E7 transcripts can distinguish between normal and abnormal samples. World-wide, cervical cancer is the leading cause of cancer morbidity in women.

show abstract

Section: Discussionmentioning

confidence: 99%

Measurements of Human Papillomavirus Transcripts by Real Time Quantitative Reverse Transcription-Polymerase Chain Reaction in Samples Collected for Cervical Cancer Screening

Lamarcq

Deeds

Ginzinger³

et al. 2002

The Journal of Molecular Diagnostics

View full text Add to dashboard Cite

show abstract

“…HPV DNA is found positive in more than 90% of cervical cancer patients [3], and especially, high-risk genotypes of HPV are considered to be associated with development of CIN and cervical cancer [3-5]. It has been shown that HPV genotyping can detect women with cytological abnormalities and it has a potential role in identifying women at risk of residual or recurrent disease after treatment of CIN [6].…”

Section: Introductionmentioning

confidence: 99%

p16^INK4a immunohistochemistry is a promising biomarker to predict the outcome of low grade cervical intraepithelial neoplasia: comparison study with HPV genotyping

et al. 2013

Self Cite

View full text Add to dashboard Cite

ObjectiveIn cervical intraepithelial neoplasia (CIN), p16INK4a immunohistochemistry has been reported to be a useful diagnostic biomarker. However, limited information is available about the association between the p16INK4a immunohistochemistry and the outcomes of CIN. Here, we report p16INK4a immunohistochemistry as an effective biomarker to predict the outcomes of CIN.Methodsp16INK4a immunohistochemistry was performed in patients with CIN from January 2000 to August 2009. Among these patients, we have performed a retrospective analysis of the medical records to evaluate the outcome of CIN 1-2 and performed statistical analysis to determine the correlation between p16INK4a expression and the outcomes. We also performed HPV genotyping and analyzed the relation between the infecting human papillomavirus (HPV) genotype and the outcomes.ResultsA total of 244 patients, including 82 with CIN 1, 60 with CIN 2, and 102 with CIN 3, were examined. The rate of p16INK4a overexpression increased with increasing CIN grade, 20.7% for CIN 1, 80.0% for CIN 2, and 89.2% for CIN 3, with significant differences between CIN 1 and CIN 2-3 group. In the 131 CIN 1-2 patients, the progression rate was significantly higher for the patients showing p16INK4a overexpression than for those not showing p16INK4a overexpression (p=0.005); the regression rate was also found to be significantly lower for the patients showing p16INK4a overexpression (p=0.003). High-risk HPV genotypes were detected in 73 patients (73.7%). Both progression and regression rates were not significantly different between the high-risk HPV-positive and HPV-negative groups (p=0.401 and p=0.381, respectively).Conclusionp16INK4a overexpression was correlated with the outcome of CIN 1-2, and p16INK4a is considered to be a superior biomarker for predicting the outcome of CIN 1-2 compared with HPV genotyping.

show abstract

“…High-risk HPVs, such as type 16, invade the cervical epithelial cells, and the HPV oncoproteins E6 and E7 inactivate the tumor suppressor proteins p53 and retinoblastoma protein (pRb), respectively (1,2). Inactivation of these tumor suppressor genes through high-risk HPVs results in uncontrolled cellular proliferation of the host cell.…”

mentioning

confidence: 99%

Correlation of p16INK4A Overexpression with Human Papillomavirus Infection in Cervical Adenocarcinomas

Ishikawa

Fujii

Masumoto

et al. 2003

International Journal of Gynecological Pathology

Self Cite

View full text Add to dashboard Cite

As human papillomavirus (HPV) infection is the main risk factor for squamous cell carcinoma of the cervix and overexpression of p16INK4a occurs when retinoblastoma protein is inactivated by high-risk HPV, the authors studied the association of HPV infection and expression of p16INK4a in cervical adenocarcinomas. Specimens of cervical glandular neoplasias were immunostained with a p16INK4a-specific monoclonal antibody (clone E6H4). Approximately 80% of glandular neoplasms showed overexpression of p16INK4a. Exfoliated cells from 14 adenocarcinomas were further examined by p16INK4a-specific immunocytochemistry, and 12 cases showed overexpression of p16INK4a, suggesting that immunostaining for p16INK4a may be a useful diagnostic tool for cervical adenocarcinomas. The authors further examined HPV DNA in cervical adenocarcinomas with the polymerase chain reaction method. Overexpression of p16INK4a was positive in 94% of cases in which HPV16 or 18DNA was positive, a finding suggesting that HPV16 or 18 may play an important role in cervical adenocarcinomas. Overexpression of p16INK4a may be an indicator of pathogenic activity of high-risk HPVs.

show abstract

The Major E6/E7 Transcript of HPV-16 in Exfoliated Cells from Cervical Neoplasia Patients

Cited by 16 publications

References 0 publications

Measurements of Human Papillomavirus Transcripts by Real Time Quantitative Reverse Transcription-Polymerase Chain Reaction in Samples Collected for Cervical Cancer Screening

Measurements of Human Papillomavirus Transcripts by Real Time Quantitative Reverse Transcription-Polymerase Chain Reaction in Samples Collected for Cervical Cancer Screening

p16^INK4a immunohistochemistry is a promising biomarker to predict the outcome of low grade cervical intraepithelial neoplasia: comparison study with HPV genotyping

Correlation of p16INK4A Overexpression with Human Papillomavirus Infection in Cervical Adenocarcinomas

Contact Info

Product

Resources

About

The Major E6/E7 Transcript of HPV-16 in Exfoliated Cells from Cervical Neoplasia Patients

Cited by 16 publications

References 0 publications

Measurements of Human Papillomavirus Transcripts by Real Time Quantitative Reverse Transcription-Polymerase Chain Reaction in Samples Collected for Cervical Cancer Screening

Measurements of Human Papillomavirus Transcripts by Real Time Quantitative Reverse Transcription-Polymerase Chain Reaction in Samples Collected for Cervical Cancer Screening

p16INK4a immunohistochemistry is a promising biomarker to predict the outcome of low grade cervical intraepithelial neoplasia: comparison study with HPV genotyping

Correlation of p16INK4A Overexpression with Human Papillomavirus Infection in Cervical Adenocarcinomas

Contact Info

Product

Resources

About

p16^INK4a immunohistochemistry is a promising biomarker to predict the outcome of low grade cervical intraepithelial neoplasia: comparison study with HPV genotyping