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The role of P16ink4a and P53 immunostaining in predicting recurrence of HG-CIN after conization treatment

Overview of attention for article published in Revista do Colegio Brasileiro de Cirurgioes, February 2016
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Title
The role of P16ink4a and P53 immunostaining in predicting recurrence of HG-CIN after conization treatment
Published in
Revista do Colegio Brasileiro de Cirurgioes, February 2016
DOI 10.1590/0100-69912016001008
Pubmed ID
Authors

Fonseca, Fernanda Villar, Tomasich, Flávio Daniel S, Jung, Juliana Elizabeth, Maestri, Carlos Afonso, Carvalho, Newton Sérgio de

Abstract

Io evaluate the expression of p16INK4a and p53 biomarkers in conization specimens from patients with high grade cervical intraepithelial neoplasia (HG-CIN), correlating them with the ability to predict the recurrence. we conducted a retrospective study of patients with HG-CIN in cervical biopsy treated with conization between January 1999 and January 2006 who had a minimum follow-up of 18 months. The expression of the p16 and p53 was assessed by tissue microarrays and correlated with disease recurrence. For analysis, we used the test of proportions (chi-square), considering value p<0.05, 95% CI and calculations of sensitivity, specificity and accuracy of these immunomarkers in predicting recurrence. the series comprised 83 patients aged between 16 and 86 years (35±11.7), divided into two groups: 30 with HG-CIN recurrence (study group) and 53 without recurrence (control group). Mean age, parity, smoking and conization technique were similar in both groups. The p53 expression was present in 43% of the study group and 57% of the control group, and the p16 was present in 43% of the study group and in 57% of the control group (p>0.05). p53 had a positive predictive value (PPV) of 42% and negative predictive value (NPV) of 73%, sensitivity 70%, specificity of 47% and accuracy of 59%. The p16, PPV 42%, NPV 72%, sensitivity 66%, specificity of 49% and accuracy of 56%. immunohistochemistry expression of p53 and p16 showed low sensitivity and low specificity as predictors of HG-CIN recurrence after conization treatment.

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 14%
Student > Ph. D. Student 1 7%
Student > Bachelor 1 7%
Student > Master 1 7%
Researcher 1 7%
Other 1 7%
Unknown 7 50%
Readers by discipline Count As %
Medicine and Dentistry 4 29%
Immunology and Microbiology 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Unknown 8 57%