Literature DB >> 24744261

Performance of p16INK4a/Ki-67 immunocytochemistry for identifying CIN2+ in atypical squamous cells of undetermined significance and low-grade squamous intraepithelial lesion specimens: a Japanese Gynecologic Oncology Group study.

Takuma Fujii1, Miyuki Saito, Toshihiko Hasegawa, Takashi Iwata, Hiroyuki Kuramoto, Kaneyuki Kubushiro, Mineo Ohmura, Kazunori Ochiai, Hiroharu Arai, Masaru Sakamoto, Teiichi Motoyama, Daisuke Aoki.   

Abstract

BACKGROUND: p16(INK4a) immunohistochemistry has revealed a high rate of positivity in cervical intraepithelial neoplasia grade 2 (CIN2) and more severe conditions (CIN2+). The Lower Anogenital Squamous Terminology Standardization project proposed p16(INK4a) immunohistochemistry as an ancillary test for CIN. Immunocytochemistry involving dual staining for p16(INK4a) and Ki-67 in the triage of atypical squamous cells of undetermined significance (ASCUS) and low-grade squamous intraepithelial lesions (LSIL) is reported to be useful in the identification of CIN2+. However, it is unclear whether p16(INK4a)/Ki-67 immunocytochemistry is of practical relevance for the triage of ASCUS and LSIL in the Japanese screening system.
METHODS: From 427 women fulfilling the eligibility criteria, 188 ASCUS and 239 LSIL specimens were analyzed. The accuracy of p16(INK4a)/Ki-67 immunocytochemistry and genotyping of high-risk human papillomaviruses (HPVs) in detecting CIN2+ were compared.
RESULTS: p16(INK4a)/Ki-67 immunocytochemistry was positive in 33.5 % (63/188) of ASCUS, and 36.8 % (88/239) of LSIL specimens. The sensitivity and specificity of p16(INK4a)/Ki-67 immunocytochemistry was 87.3 % (95 % confidence interval 78.0-93.8 %) and 76.4 % (71.6-80.8 %), respectively. The positive and negative predictive values were 45.7 % (37.6-54.0 %) and 96.4 % (93.4-98.3 %), respectively; positive and negative likelihood ratios were 3.71 and 0.17, respectively. Using the McNemar test, p16(INK4a)/Ki-67 immunocytochemistry showed equivalent sensitivity but higher specificity than the HPV genotyping test
CONCLUSIONS: Compared with high-risk HPV genotyping, p16(INK4a)/Ki-67 immunocytochemistry was a more accurate triage test for identifying CIN2+ in ASCUS and LSIL specimens.

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Year:  2014        PMID: 24744261     DOI: 10.1007/s10147-014-0688-0

Source DB:  PubMed          Journal:  Int J Clin Oncol        ISSN: 1341-9625            Impact factor:   3.402


  23 in total

1.  Human papillomavirus is a necessary cause of invasive cervical cancer worldwide.

Authors:  J M Walboomers; M V Jacobs; M M Manos; F X Bosch; J A Kummer; K V Shah; P J Snijders; J Peto; C J Meijer; N Muñoz
Journal:  J Pathol       Date:  1999-09       Impact factor: 7.996

2.  The sensitivity and specificity of p16(INK4a) cytology vs HPV testing for detecting high-grade cervical disease in the triage of ASC-US and LSIL pap cytology results.

Authors:  Karin J Denton; Christine Bergeron; Petra Klement; Marcus J Trunk; Thomas Keller; Ruediger Ridder
Journal:  Am J Clin Pathol       Date:  2010-07       Impact factor: 2.493

Review 3.  The 2001 Bethesda System: terminology for reporting results of cervical cytology.

Authors:  Diane Solomon; Diane Davey; Robert Kurman; Ann Moriarty; Dennis O'Connor; Marianne Prey; Stephen Raab; Mark Sherman; David Wilbur; Thomas Wright; Nancy Young
Journal:  JAMA       Date:  2002-04-24       Impact factor: 56.272

4.  Performance of p16/Ki-67 immunostaining to detect cervical cancer precursors in a colposcopy referral population.

Authors:  Nicolas Wentzensen; Lauren Schwartz; Rosemary E Zuna; Katie Smith; Cara Mathews; Michael A Gold; R Andy Allen; Roy Zhang; S Terence Dunn; Joan L Walker; Mark Schiffman
Journal:  Clin Cancer Res       Date:  2012-06-06       Impact factor: 12.531

5.  Epidemiologic classification of human papillomavirus types associated with cervical cancer.

Authors:  Nubia Muñoz; F Xavier Bosch; Silvia de Sanjosé; Rolando Herrero; Xavier Castellsagué; Keerti V Shah; Peter J F Snijders; Chris J L M Meijer
Journal:  N Engl J Med       Date:  2003-02-06       Impact factor: 91.245

6.  Against which human papillomavirus types shall we vaccinate and screen? The international perspective.

Authors:  Nubia Muñoz; F Xavier Bosch; Xavier Castellsagué; Mireia Díaz; Silvia de Sanjose; Doudja Hammouda; Keerti V Shah; Chris J L M Meijer
Journal:  Int J Cancer       Date:  2004-08-20       Impact factor: 7.396

Review 7.  Viruses in human cancers.

Authors:  H zur Hausen
Journal:  Science       Date:  1991-11-22       Impact factor: 47.728

8.  Comparison of HPV type distribution in high-grade cervical lesions and cervical cancer: a meta-analysis.

Authors:  G M Clifford; J S Smith; T Aguado; S Franceschi
Journal:  Br J Cancer       Date:  2003-07-07       Impact factor: 7.640

9.  p16(INK4a) immunohistochemistry is a promising biomarker to predict the outcome of low grade cervical intraepithelial neoplasia: comparison study with HPV genotyping.

Authors:  Sakiko Nishio; Takuma Fujii; Hiroshi Nishio; Kaori Kameyama; Miyuki Saito; Takashi Iwata; Kaneyuki Kubushiro; Daisuke Aoki
Journal:  J Gynecol Oncol       Date:  2013-07-04       Impact factor: 4.401

10.  Screening for cervical cancer precursors with p16/Ki-67 dual-stained cytology: results of the PALMS study.

Authors:  Hans Ikenberg; Christine Bergeron; Dietmar Schmidt; Henrik Griesser; Francisco Alameda; Claudio Angeloni; Johannes Bogers; Roger Dachez; Karin Denton; Jalil Hariri; Thomas Keller; Magnus von Knebel Doeberitz; Heinrich H Neumann; Luis M Puig-Tintore; Mario Sideri; Susanne Rehm; Ruediger Ridder
Journal:  J Natl Cancer Inst       Date:  2013-10-04       Impact factor: 13.506

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  2 in total

Review 1.  [Indications for p16/Ki-67 in cervical cytology].

Authors:  P Ziemke; H Griesser
Journal:  Pathologe       Date:  2017-02       Impact factor: 1.011

Review 2.  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

  2 in total

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