| Literature DB >> 24151431 |
Seung Won Byun1, Ahwon Lee, Suyeon Kim, Yeong Jin Choi, Youn Soo Lee, Jong Sup Park.
Abstract
BACKGROUND: Atypical squamous cell cannot exclude high-grade squamous intraepithelial lesion (ASC-H) and low-grade intraepithelial lesion cannot exclude high-grade squamous intraepithelial lesion (LSIL-H) are ambiguous diagnostic entities for the prediction of high-grade cervical lesion. Objective and reproducible tests for predicting high-grade cervical lesions are needed to reduce unnecessary colposcopic referrals or follow-ups.Entities:
Keywords: Cervicovaginal cytology; HPV DNA typing.; Human papillomavirus; Immunocytochemistry; L1 capsid protein; p16 INK4a/Ki-67 dual staining
Mesh:
Substances:
Year: 2013 PMID: 24151431 PMCID: PMC3804785 DOI: 10.7150/ijms.6526
Source DB: PubMed Journal: Int J Med Sci ISSN: 1449-1907 Impact factor: 3.738
Cervical Cytology versus Biopsy Results.
| Biopsy results | |||||
|---|---|---|---|---|---|
| Cytology results | NILM | CIN I | CIN II | CIN III | Total |
| LSIL | 1 | 1 | 0 | 0 | 2 |
| LSIL-H | 8 | 2 | 2 | 3 | 15 |
| ASC-H | 3 | 5 | 2 | 13 | 23 |
| HSIL | 0 | 0 | 1 | 7 | 8 |
| Total | 12 | 8 | 5 | 23 | 48 |
LILM = negative for intraepithelial lesion or malignancy.
CIN = cervical intraepithelial neoplasm. LSIL = low grade squamous intraepithelial lesion.
LSIL-H = low grade intraepithelial lesion cannot exclude HSIL. ASC-H = atypical squamous cell cannot exclude HISL.
HSIL = high grade squamous intraepithelial lesion.
Fig 1CINtec PLUS double-positive cells showing both brown cytoplasmic staining for p16 and red nuclear staining for Ki-67 (×400).
Fig 2Positive staining for HPV L1 capsid protein in the nucleus of an epithelial cell in liquid-based cytology (×400).
Correlation of the results of p16 INK4a/Ki-67 and L1 capsid protein immunostaining and HPV DNA typing with follow-up CIN2+.
| Follow up results | ||||
|---|---|---|---|---|
| <CIN2 | ≥CIN2 | |||
| p16 INK4a /Ki-67 | positive | 17 | 16 | 0.053 |
| negative | 18 | 5 | ||
| L1 capsid protein | positive | 12 | 1 | 0.02 |
| negative | 23 | 20 | ||
| HR-HPV | positive | 10 | 12 | 0.036 |
| negative | 21 | 6 | ||
| 16,18-HPV | positive | 4 | 7 | 0.072 |
| negative | 27 | 11 | ||
CIN = cervical intraepithelial neoplasm.
HR-HPV = high risk type HPV.
16,18-HPV = HPV type 16 and/or HPV type 18.
Correlation of the results of p16 INK4a/Ki-67 and L1 capsid protein immunostaining and HPV DNA typing with histology CIN2+ and histology CIN3+.
| Histologic results | |||||||
|---|---|---|---|---|---|---|---|
| <CIN2 | ≥CIN2 | <CIN3 | ≥CIN3 | ||||
| p16 INK4a /Ki-67 | pos | 7 | 15 | 0.047 | 8 | 14 | 0.002 |
| neg | 11 | 5 | 14 | 2 | |||
| L1 capsid protein | pos | 5 | 1 | 0.083 | 5 | 1 | 0.370 |
| neg | 13 | 19 | 17 | 15 | |||
| HR-HPV | pos | 4 | 12 | 0.037 | 8 | 8 | 0.491 |
| neg | 11 | 6 | 11 | 6 | |||
| 16,18-HPV | pos | 2 | 7 | 0.134 | 4 | 5 | 0.442 |
| neg | 13 | 11 | 15 | 9 | |||
CIN = cervical intraepithelial neoplasm. HR-HPV = high risk type HPV. 16,18-HPV = HPV type 16 and/or HPV type 18.
Diagnostic effectiveness of p16 INK4a/Ki-67 immunocytostaining, L1 capsid protein immunocytostaining, and PANArray™ HPV chip test to predict follow-up CIN2+.
| Sensitivity(%) | Specificity(%) | PPV(%) | NPV(%) | |
|---|---|---|---|---|
| p16 INK4a /Ki-67 | 76.2 | 51.4 | 48.5 | 78.3 |
| L1 capsid protein | 95.2 | 34.3 | 46.5 | 92.3 |
| HR- HPV | 66.7 | 67.7 | 54.5 | 77.8 |
| 16,18-HPV | 38.9 | 87.1 | 63.6 | 71.1 |
| p16 /Ki-67 + L1 | 61.9 | 68.6 | 54.2 | 75.0 |
| p16 /Ki-67 + L1 + HR-HPV | 100 | 53.1 | 55.9 | 100 |
PPV = positive predictive value. NPV = negative predictive value.
HR-HPV = positive for high risk HPV.
16,18-HPV =positive for HPV type 16 or HPV type 18.
p16/Ki-67 + L1 = positive for p16 INK4a/Ki-67 and negative for L1 capsid protein.
p16/Ki-67 + L1 + HR-HPV = (positive for p16 INK4a/Ki-67 and negative for L1 capsid protein) or (positive for high risk HPV).
Fig 3(A) Classification and regression tree analysis to predict histology CIN2+. p16 = p16INK4a/Ki-67. L1 = L1 capsid protein. HR-HPV =high risk type HPV. (B) Classification and regression tree analysis to predict histology CIN3+. p16 = p16INK4a/Ki-67. L1 = L1 capsid protein.