Literature DB >> 24261348

HPV16 genotype, p16/Ki-67 dual staining and koilocytic morphology as potential predictors of the clinical outcome for cervical low-grade squamous intraepithelial lesions.

D Vrdoljak-Mozetič1, M Krašević, D Verša Ostojić, S Štemberger-Papić, R Rubeša-Mihaljević, M Bubonja-Šonje.   

Abstract

OBJECTIVE: To evaluate the association of human papillomavirus (HPV) 16 and non-16 genotype, p16/Ki-67 dual staining and koilocytosis and their role in the prediction of the clinical outcome of low-grade squamous intraepithelial lesion (LSIL) cytology.
METHODS: One hundred and fifty-five patients with LSIL were followed up and recorded as progression, persistence or regression. HPV genotyping was performed for high-risk HPV (hrHPV) DNA-positive cases. Koilocytosis was reviewed and p16/Ki-67 dual staining was performed on reprocessed conventional cytology slides.
RESULTS: HPV16 was the most frequent genotype found in 16.3% of cases. p16/Ki-67 dual staining was positive in 36.1% of all cases. Progression, including concurrent cervical intraepithelial lesion grade 2 or above (CIN2+), was recorded in 13.8% of cases. A statistically significant difference between progressive and non-progressive cases was shown by the following: hrHPV-positive versus hrHPV-negative (P = 0.022), HPV16-positive versus non-16 HPV-positive (P < 0.001) and p16/Ki-67-positive versus p16/Ki-67-negative (P < 0.001) cases. Cases with combined HPV16 and p16/Ki-67 positivity showed the highest progression rate (58.3%). Non-koilocytic HPV16-positive cases showed a 50% progression rate compared with 10.1% for koilocytic non-16 HPV-positive cases (P = 0.010). The sensitivity of p16/Ki-67 dual staining for the detection of CIN2+ lesions was 80%, comparable with hrHPV (85%). The specificity of p16/Ki-67 dual staining was 71% and of hrHPV 42%. The highest specificity was found for HPV16 genotype presence (91%), but with low sensitivity (50%).
CONCLUSION: HPV genotyping, p16/Ki-67 dual staining and koilocytic morphology can be useful in the prediction of clinical outcome in women initially diagnosed with LSIL cytology.
© 2013 John Wiley & Sons Ltd.

Entities:  

Keywords:  HPV genotype; LSIL; cervical cytology; clinical outcome; koilocytosis; low-grade squamous intraepithelial lesion; p16/Ki-67

Mesh:

Substances:

Year:  2013        PMID: 24261348     DOI: 10.1111/cyt.12121

Source DB:  PubMed          Journal:  Cytopathology        ISSN: 0956-5507            Impact factor:   2.073


  7 in total

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2.  Claudin-1 as a Biomarker of Cervical Cytology and Histology.

Authors:  Márta Benczik; Ádám Galamb; Róbert Koiss; Attila Kovács; Balázs Járay; Tamás Székely; Tímea Szekerczés; Zsuzsa Schaff; Gábor Sobel; Csaba Jeney
Journal:  Pathol Oncol Res       Date:  2016-01       Impact factor: 3.201

3.  p16/Ki-67 dual staining has a better accuracy than human papillomavirus (HPV) testing in women with abnormal cytology under 30 years old.

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Journal:  Bosn J Basic Med Sci       Date:  2019-11-08       Impact factor: 3.363

4.  Stratification of HPV-induced cervical pathology using the virally encoded molecular marker E4 in combination with p16 or MCM.

Authors:  Heather Griffin; Yasmina Soneji; Romy Van Baars; Rupali Arora; David Jenkins; Miekel van de Sandt; Zhonglin Wu; Wim Quint; Robert Jach; Krzysztof Okon; Hubert Huras; Albert Singer; John Doorbar
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Review 5.  Deciphering the Multifactorial Susceptibility of Mucosal Junction Cells to HPV Infection and Related Carcinogenesis.

Authors:  Michael Herfs; Thing R Soong; Philippe Delvenne; Christopher P Crum
Journal:  Viruses       Date:  2017-04-20       Impact factor: 5.048

Review 6.  Predictive value of p16/Ki-67 immunocytochemistry for triage of women with abnormal Papanicolaou test in cervical cancer screening: a systematic review and meta-analysis.

Authors:  Cheng-Chieh Chen; Lee-Wen Huang; Chyi-Huey Bai; Chin-Cheng Lee
Journal:  Ann Saudi Med       Date:  2016 Jul-Aug       Impact factor: 1.526

7.  Role of Dual-Staining p16/Ki-67 in the Management of Patients under 30 Years with ASC-US/L-SIL.

Authors:  Cristina Secosan; Andrea Pasquini; Delia Zahoi; Andrei Motoc; Diana Lungeanu; Oana Balint; Aurora Ilian; Ligia Balulescu; Dorin Grigoras; Laurentiu Pirtea
Journal:  Diagnostics (Basel)       Date:  2022-02-04
  7 in total

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