Literature DB >> 17825885

p16 and MIB1 improve the sensitivity and specificity of the diagnosis of high grade squamous intraepithelial lesions: methodological issues in a report of 447 biopsies with consensus diagnosis and HPV HCII testing.

Dirk Van Niekerk1, Martial Guillaud, Jasenka Matisic, John L Benedet, J Adrian Freeberg, Michele Follen, Calum MacAulay.   

Abstract

OBJECTIVE: Many investigators are studying the additional value of biomarkers to improve histopathologic agreement, but few are using the same methodologies. Our objectives in this analysis to differentiate High-grade Squamous Intraepithelial lesions (HGSIL) from Low Grade Squamous Intraepithelial Lesions (LGSIL), atypia, and normal were: (1) to examine the rate of Human Papilloma Virus High-Risk positivity (HPV HR+), (2) to compare and grade the basal, parabasal, intermediate, and superficial layer staining of each marker, (3) to determine the optimal qualitative threshold for markers, (4) to compare p16 and MIB1 agreement, and (5) to examine the sensitivities and specificities using each markers alone and together.
METHODS: A sample of biopsies from 208 patients were chosen from a total of 1850 patients and 3735 biopsies obtained during the course of ongoing optical trials. At least two independent blinded reviews were performed for each biopsy. A third review was performed if there was a disagreement between the two reviews. Both endocervical and ectocervical samples were stained for p16 and MIB1. A grading system that is delineated in the text ranged from 0 to 3 for both markers and each biopsy was scored by each cell layer. Frequencies, sensitivities, and specificities were calculated using Statistica. An ANOVA was used to compare p16 and MIB1 staining in the epithelial layers. Finally the sensitivity and specificity of each marker alone and together were examined.
RESULTS: 453 specimens from 208 patients whose final diagnoses were normal (n=244), low-grade (LG) (n=59), and high-grade (HG) (n=144) were selected for analysis. 447 of 453 specimens were available for staining. Most LG and HG lesions were HPV HR positive. Endocervical samples stained positive less often than ectocervix and often results were discordant from ectocervical results. The analysis by layers showed pronounced increases in staining of both p16 and MIB1 as lesions progressed from normal to LG to HG. The cutoff or threshold for p16 was 0 versus 1-3 while for MIB1 it was 0-1 versus 2-3. Using the intermediate epithelial layer measurement of both p16 and MIB1 in HPV High-Risk Positive separated the normal tissue from LGSIL, normal from HGSIL, and LGSIL from HGSIL by a statistically significant margin (p<0.05). Each marker had sensitivities and specificities for the diagnosis of HGSIL versus LGSIL and normal of approximately 85-90% and this improved by 5% for both sensitivity and specificity when used together (p16 sensitivity 90%, specificity 85%; MIB1 sensitivity 89%, specificity 87%; together sensitivity 94%, specificity 90%).
CONCLUSION: Several important methodological issues have been studied. Overall, p16 and MIB1 are promising markers to help pathologists differentiate HG lesions from all else. The staining of the endocervix and the ectocervix do not always agree, and the ectocervix more often stains positive with the presence of HGSIL. Each marker is helpful and both are helpful together. In conclusion, both markers are useful for the confirmation of HG lesions.

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Year:  2007        PMID: 17825885     DOI: 10.1016/j.ygyno.2007.07.064

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  8 in total

1.  The use of biomarkers and HPV genotyping to improve diagnostic accuracy in women with a transformation zone type 3.

Authors:  Kristyn Manley; Amit Patel; Joya Pawade; Susan Glew; Katherine Hunt; Nichole Villeneuve; Pinias Mukonoweshuro; Samantha Thompson; Helen Hoskins; Andres López-Bernal; Andrew Wills
Journal:  Br J Cancer       Date:  2021-10-29       Impact factor: 7.640

2.  Double staining cytologic samples with quantitative Feulgen-thionin and anti-Ki-67 immunocytochemistry as a method of distinguishing cells with abnormal DNA content from normal cycling cells.

Authors:  Gerald Li; Martial Guillaud; Michele Follen; Calum MacAulay
Journal:  Anal Quant Cytopathol Histpathol       Date:  2012-10

3.  Role of protein biomarkers in the detection of high-grade disease in cervical cancer screening programs.

Authors:  Charlotte A Brown; Johnannes Bogers; Shaira Sahebali; Christophe E Depuydt; Frans De Prins; Douglas P Malinowski
Journal:  J Oncol       Date:  2012-02-28       Impact factor: 4.375

4.  Clinical Implication of p16, Ki-67, and Proliferating Cell Nuclear Antigen Expression in Cervical Neoplasia: Improvement of Diagnostic Accuracy for High-grade Squamous Intraepithelial Lesion and Prediction of Resection Margin Involvement on Conization Specimen.

Authors:  Tae Hun Kim; Jee Hye Han; Eun Shin; Jae Hong Noh; Hee Seung Kim; Yong Sang Song
Journal:  J Cancer Prev       Date:  2015-03

5.  Increased RIPK4 expression is associated with progression and poor prognosis in cervical squamous cell carcinoma patients.

Authors:  De-Qing Liu; Fang-Fang Li; Jiang-Bo Zhang; Tie-Jun Zhou; Wen-Qiong Xue; Xiao-Hui Zheng; Yuan-Bin Chen; Xiao-Yu Liao; Lan Zhang; Shao-Dan Zhang; Ye-Zhu Hu; Wei-Hua Jia
Journal:  Sci Rep       Date:  2015-07-07       Impact factor: 4.379

6.  Automatic labeling of molecular biomarkers of immunohistochemistry images using fully convolutional networks.

Authors:  Fahime Sheikhzadeh; Rabab K Ward; Dirk van Niekerk; Martial Guillaud
Journal:  PLoS One       Date:  2018-01-19       Impact factor: 3.240

7.  The value of Ki67 for the diagnosis of LSIL and the problems of p16 in the diagnosis of HSIL.

Authors:  Jixuan Liu; Sanmei Su; Yafang Liu
Journal:  Sci Rep       Date:  2022-05-09       Impact factor: 4.996

8.  Evaluation of HPV infection and smoking status impacts on cell proliferation in epithelial layers of cervical neoplasia.

Authors:  Martial Guillaud; Timon P H Buys; Anita Carraro; Jagoda Korbelik; Michele Follen; Michael Scheurer; Karen Adler Storthz; Dirk van Niekerk; Calum E MacAulay
Journal:  PLoS One       Date:  2014-09-11       Impact factor: 3.240

  8 in total

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