4.5 Article

Hierarchical evaluation of histology and p16-labeling can improve the risk assessment on cervical intraepithelial neoplasia progression

Journal

EXPERIMENTAL AND MOLECULAR PATHOLOGY
Volume 124, Issue -, Pages -

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.yexmp.2021.104734

Keywords

p16; Immunohistochemistry; LSIL; HSIL; HPV

Categories

Funding

  1. Brazilian Health Ministry [DECIT-FINEP 1299-13, 401700/2015-1]
  2. Foundation for Science and Technology of the State of Pernambuco (FACEPE) [PROEP-APQ16804.01/15, IBPG-0849-4.01/16]
  3. Brazilian National Council for Scientific and Technological Development (CNPq) [310364/2015-9, 310892/2019-8, 302060/2019-7]

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In this study, the discriminatory power of histological findings associated with p16 immunohistochemistry staining to classify LSIL and HSIL was assessed. The results showed that p16 nuclear labeling had the best sensitivity and specificity for distinguishing between LSIL with low p16 expression and HSIL with high p16 expression. It was suggested that a hierarchical analysis with histology at the first level, followed by labeling analysis in the nucleus and then in the cytoplasm, could increase the accuracy of HPV cervical lesion stratification.
Objective: High-grade cervical lesions (HSIL) are associated with the presence of high-risk HPV types, tissue expression of p16, and increased chance of malignant progression, requiring surgical intervention. To improve risk evaluation, we assessed the discriminatory power of the histological findings associated with p16 immunohistochemistry (IHC) staining to classify the low-grade cervical lesion (LSIL) and HSIL. Methods: We collected cervical biopsies from colposcopy-visible lesions and non-affected tissue (adjacent to the lesions) of 62 Brazilian women and labeled them with anti-p16 antibodies. In addition to the observational pattern and labeling to define the latent classes (affected vs. non-affected), a computational tool was used for semi-quantitative analysis of p16 expression. The intensity of staining of the nucleus or cytoplasm was captured using the Gimp 2.10 software. ROC curves were used to determine cutoff values for p16 expression in patients classified as LSIL and HSIL by latent class statistics for each labeling stratum. Results: p16 nuclear labeling showed the best sensitivity and specificity to discriminate LSIL with low p16 expression (62%) and HSIL with high p16 expression (37%). Many patients whose lesions had intermediate levels of p16 nuclear staining were subsequently stratified according to the expression of p16 in the cytoplasm, indicating that five of 21 LSIL were at risk of progression, and 13 of 41 HSIL at risk of regression. Conclusions: We suggest a hierarchical analysis, with histology at the first level, followed by a labeling analysis in the nucleus and then in the cytoplasm to increase the accuracy of the HPV cervical lesion stratification.

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