HPV Testing in the context of post-treatment follow up (test of cure)

&lt;p&gt;&lt;b&gt;BACKGROUND: &lt;/b&gt;Women treated for cervical lesions are at higher risk of subsequent disease compared to the general population. Consequently, post treatment surveillance strategies are required to ensure the success of treatment, so called &quot;test of cure&quot;. The high sensitivity and negative predictive value of HPV assays can enhance post-treatment strategies.&lt;/p&gt;&lt;p&gt;&lt;b&gt;OBJECTIVES: &lt;/b&gt;To provide an overview of the current data on test of cure strategies with a particular focus on HPV testing and to identify knowledge gaps and areas for further research.&lt;/p&gt;&lt;p&gt;&lt;b&gt;RESULTS: &lt;/b&gt;HPV testing is sensitive for the detection of residual or recurrent disease post treatment for CIN2+ and is more sensitive than cytology alone. Co-testing increases sensitivity, marginally and there is a lack of consensus regarding the efficiency and safety to release negative women. Most test of cure studies have applied HPV DNA tests and post treatment positivity rates vary widely depending on assay and potentially, treatment type.&lt;/p&gt;&lt;p&gt;&lt;b&gt;CONCLUSIONS: &lt;/b&gt;Globally, an increasing number of test of cure algorithms now incorporate HPV testing although there is heterogeneity of practice with respect to assay, number of post treatment tests, testing intervals, follow up time. While type specific persistence identified through genotyping may identify those at greater risk of disease there is no consensus as to how this may be applied, clinically. Data on HPV testing in women treated for glandular lesions would be welcome as would the performance of different HPV assays and associated biomarkers in this context.&lt;/p&gt;</p

Host chemokine signature as a biomarker for the detection of pre-cancerous cervical lesions

Background The ability to distinguish which hrHPV infections predispose to significant disease is ever more pressing as a result of the increasing move to hrHPV testing for primary cervical screening. A risk-stratifier or “triage” of infection should ideally be objective and suitable for automation given the scale of screening. Results CCL2, CCL3, CCL4, CXCL1, CXCL8 and CXCL12 emerged as the strongest, candidate biomarkers to detect underlying disease [cervical intraepithelial neoplasia grade 2 or worse (CIN2+)]. For CIN2+, CCL2 had the highest area under the curve (AUC) of 0.722 with a specificity of 82%. A combined biomarker panel of six chemokines CCL2, CCL3, CCL4, CXCL1, CXCL8, and CXCL12 provides a sensitivity of 71% and specificity of 67%. Conclusion The present work demonstrates that the levels of five chemokine-proteins are indicative of underlying disease. We demonstrate technical feasibility and promising clinical performance of a chemokine-based biomarker panel, equivalent to that of other triage options. Further assessment in longitudinal series is now warranted. Methods A panel of 31 chemokines were investigated for expression in routinely taken archived and prospective cervical liquid based cytology (LBC) samples using Human Chemokine Proteomic Array kit. Nine chemokines were further validated using Procartaplex assay on the Luminex platform

Development and Validation of a Raman Spectroscopic Classification Model for Cervical Intraepithelial Neoplasia (CIN)

The mortality associated with cervical cancer can be reduced if detected at the precancer stage, but current methods are limited in terms of subjectivity, cost and time. Optical spectroscopic methods such as Raman spectroscopy can provide a rapid, label-free and nondestructive measurement of the biochemical fingerprint of a cell, tissue or biofluid. Previous studies have shown the potential of Raman spectroscopy for cervical cancer diagnosis, but most were pilot studies with small sample sizes. The aim of this study is to show the clinical utility of Raman spectroscopy for identifying cervical precancer in a large sample set with validation in an independent test set. Liquid-based cervical cytology samples (n = 662) (326 negative, 200 cervical intraepithelial neoplasia (CIN)1 and 136 CIN2+) were obtained as a training set. Raman spectra were recorded from single-cell nuclei and subjected to a partial least squares discriminant analysis (PLSDA). In addition, the PLSDA classification model was validated using a blinded independent test set (n = 69). A classification accuracy of 91.3% was achieved with only six of the blinded samples misclassified. This study showed the potential clinical utility of Raman spectroscopy with a good classification of negative, CIN1 and CIN2+ achieved in an independent test set

Development of an in-house ELISA to detect anti-HPV16-L1 antibodies in serum and dried blood spots

Measuring anti-HPV antibody levels is important for surveillance of the immunological response to both natural infection and vaccination. Here, an ELISA test for measurement of HPV-16L1 antibodies was developed and validated in sera and dried blood spots. An in-house ELISA was developed for measuring anti-HPV-16L1 IgA and IgG levels. The assay was standardized against WHO international standard serum and validated on serum, dried blood spots and cervical liquid based cytology samples from women attending colposcopy clinics in Scotland. Antibody avidity index was also measured in serum samples. The average HPV 16-L1 specific IgG and IgA levels measured in sera, in women attending a routine colposcopy service were 7.3 units/ml and 8.1 units/ml respectively. Significant correlations between serum and dried blood spot eluates for both IgG and IgA were observed indicating that the latter serve as a credible proxy for antibody levels. Average IgG Avidity Index was 35% (95% CI 25%-45%) suggesting previous, historical challenge with natural infection. This ELISA has potential for use in epidemiological and field studies of antibody prevalence and if coupled with avidity measurement may be of use in individual case monitoring of vaccine responses and failures

Changes in HPV prevalence following a national bivalent HPV vaccination programme in Scotland: a 7-year cross-sectional study

Background: On Sept 1, 2008, Scotland launched routine vaccination for human papillomavirus (HPV) types 16 and 18, targeted at 12–13-year-old girls, of whom 92·4% were fully vaccinated in 2008–09. In this study, we report on vaccine effectiveness of the bivalent vaccine in these vaccinated women who attended for routine cervical screening at age 20–21 years. Methods: In this 7-year cross-sectional study (covering birth cohorts 1988–1995), we sampled approximately 1000 samples per year from those attending cervical screening at age 20–21 years and tested each for HPV. By linkage to vaccination records we ascertained prevalence by birth cohort and vaccination status. Estimates of vaccine effectiveness for HPV types 16 and 18, HPV types 31, 33, and 45, other high-risk types, and any HPV were calculated using logistic regression. Findings: In total, 8584 samples were HPV genotyped. Prevalence of HPV types 16 and 18 reduced substantially from 30·0% (95% CI 26·9–33·1) in the 1988 cohort to 4·5% (3·5–5·7) in the 1995 cohort, giving a vaccine effectiveness of 89·1% (85·1–92·3) for those vaccinated at age 12–13 years. All cross-protective types showed significant vaccine effectiveness (HPV type 31, 93·8% [95% CI 83·8–98·5]; HPV type 33, 79·1% [64·2–89·0]; HPV type 45, 82·6% [61·5–93·9]). Unvaccinated individuals born in 1995 had a reduced odds of HPV types 16 and 18 infection compared with those born in 1988 (adjusted odds ratio 0·13 [95% CI 0·06–0·28]) and reduced odds of HPV types 31, 33, and 45 (odds ratio 0·45 [0·23–0·89]). Interpretation: Bivalent vaccination has led to a startling reduction in vaccine and cross-protective HPV types 7 years after vaccination. There is also evidence of herd protection against the vaccine-specific and cross-protective types in unvaccinated individuals born in 1995. These findings should be considered in cost-effectiveness models informing vaccine choice and models to shape the future of cervical screening programmes