Literature DB >> 12635137

Low- and high-risk CIN 1 and 2 lesions: prospective predictive value of grade, HPV, and Ki-67 immuno-quantitative variables.

Arnold-Jan Kruse1, Jan P A Baak, Emiel A Janssen, Marco G W Bol, Kjell-Henning Kjellevold, Bernt Fianne, Kjell Lovslett, Johan Bergh.   

Abstract

The aim of this study was to evaluate in small cervical biopsies (non-cone, non-large loop excision of the transformation zone, LLETZ) the prognostic value of both routinely assessed and reviewed cervical intraepithelial neoplasia (CIN) grades 1 and 2, oncogenic human papillomavirus (onco-HPV) DNA (HPV status) and Ki-67 immuno-quantitative features for the prediction of progression. In biopsies from 44 CIN patients (the learning set), subjective CIN grade, onco-HPV by PCR, and Ki-67 immuno-quantitative features were assessed. We followed development of the lesions by colposcopy and cytology, but the final endpoint was the histological grade (again in small biopsies). The outcome was defined as progression (histological (CIN 1 to (CIN 2 or 3)) or CIN 2 to CIN 3) or not (all other cases). Single and multivariate (Cox regression) and survival analyses were applied. The resulting predictive combination of quantitative features was then applied to a new test set of 35 consecutive CIN 2 (small) biopsies followed by large (cone or LLETZ) biopsies. In the learning set, mean follow-up of non-progression cases was 18.8 months (range 4.7-35.9), and of progression cases 13.1 months (range 6.4-32.9) (p = 0.18). Five cases progressed (11%). Of the 16 CIN 1 and 28 CIN 2 lesions, 31 cases (70%) were onco-HPV positive (5 of the CIN 1 and 26 of the CIN 2). The age of women with progression or not did not differ (p = 0.68). All 5 progression cases were CIN 2 (on review, one of these was reclassified as CIN 1), and positive for onco-HPV. Cox regression analysis showed that the percentage of Ki-67-positive cells located in the middle third layer of the epithelium (MIDTHIRD) and the 90th percentile of the stratification index (SI90) was the best combination to predict progression (log rank = 5.1, p = 0.02). Furthermore, sensitivity (100%), specificity (56%), positive predictive value (23%), negative predictive value (100%), and overall percentage correctly classified cases (61%) of this Ki-67 combination were higher than that of subjective CIN grade or HPV status, either single or combined (both for routine and review CIN grades). Adding CIN grade or HPV status did not improve the Ki-67 prognostic results. Application of the prognostic Ki-67 combination to the test set of 35 small biopsies followed by large (cone or LLETZ biopsies) gave comparable results. Analyses on homogeneous subgroups (CIN 2 only, onco-HPV+ only, or CIN2/onco-HPV+ only) gave similar results. In conclusion, Ki-67 immuno-quantitation of small biopsies showing CIN 1 or CIN 2 has strong independent prognostic value for progression. Copyright 2003 John Wiley & Sons, Ltd.

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Year:  2003        PMID: 12635137     DOI: 10.1002/path.1316

Source DB:  PubMed          Journal:  J Pathol        ISSN: 0022-3417            Impact factor:   7.996


  8 in total

1.  p16INK4a expression and progression risk of low-grade intraepithelial neoplasia of the cervix uteri.

Authors:  Giovanni Negri; Fabio Vittadello; Fabio Romano; Armin Kasal; Francesco Rivasi; Salvatore Girlando; Christine Mian; Eduard Egarter-Vigl
Journal:  Virchows Arch       Date:  2004-10-09       Impact factor: 4.064

Review 2.  An armamentarium of wart treatments.

Authors:  Michelle M Lipke
Journal:  Clin Med Res       Date:  2006-12

Review 3.  Dynamic behavioural interpretation of cervical intraepithelial neoplasia with molecular biomarkers.

Authors:  J P A Baak; A-J Kruse; S J Robboy; E A M Janssen; B van Diermen; I Skaland
Journal:  J Clin Pathol       Date:  2006-05-05       Impact factor: 3.411

4.  Discovery of microarray-identified genes associated with the progression of cervical intraepithelial neoplasia.

Authors:  Yanming Jiang; Fuqiang Yin; Yujie Chen; Liang Yue; Li Li
Journal:  Int J Clin Exp Pathol       Date:  2018-12-01

5.  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

6.  Role of FAM19A4/miR124-2 methylation analysis in predicting regression or non-regression of CIN2/3 lesions: a protocol of an observational longitudinal cohort study.

Authors:  Wieke W Kremer; Johannes Berkhof; Maaike Cg Bleeker; Daniëlle Am Heideman; Nienke E van Trommel; Marchien W van Baal; Harold R Verhoeve; Chris Jlm Meijer; Gemma G Kenter
Journal:  BMJ Open       Date:  2019-07-09       Impact factor: 2.692

7.  Human papillomavirus, p16(INK4A), and Ki-67 in relation to clinicopathological variables and survival in primary carcinoma of the vagina.

Authors:  K Hellman; D Lindquist; C Ranhem; E Wilander; S Andersson
Journal:  Br J Cancer       Date:  2014-02-13       Impact factor: 7.640

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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