Optimizing the pre-analytical phase for accurate HPV detection in skin disorders: insights from a cutaneous warts case study.

Background: In previous years, several cutaneous disorders have been associated with human papillomavirus (HPV); however, the exact role of HPV remains largely unknown. The lack of optimization and standardization of the pre-analytical phase forms a major obstacle. The aim of this study was to develop an accurate/patient-friendly sampling method for skin disorders, with cutaneous warts as a case study. Methods: Various sample processing techniques, pre-treatment protocols and DNA extraction methods were evaluated. Several sampling methods were examined, that is, skin scrapings, swabs and a tape-based method. Quantification of DNA yield was achieved by beta-globin real-time polymerase chain reaction (qPCR), and a wart-associated HPV genotyping qPCR was used to determine the HPV prevalence. Results: All samples tested positive for beta-globin. Skin scrapings had significantly higher yield than both swab and tape-based methods (p < 0.01), the latter two did not significantly differ from each other (p > 0.05). No significant difference in DNA yield was found between cotton and flocked swabs (p > 0.05). All swabs were HPV positive, and although there were some discrepancies in HPV prevalence between both swabs, an overall good strength of agreement was found [κ = 0.77, 95% CI (0.71-0.83)]. Conclusion: Although skin scrapings produced the highest DNA yield, patient discomfort was an important limitation of this method. Considering that in combination with our optimized DNA extraction procedure, all samples gave valid results with the less invasive swab methods preferred. Standardization of the pre-analytical phase is the first step in establishing a link between HPV and specific skin disorders and may have significant downstream diagnostic as well as therapeutic implications.

Development and validation of a wart-associated human papilloma virus genotyping assay for detection of HPV in cutaneous warts.

Cutaneous warts are infectious disorders caused by human papillomavirus (HPV). A recent study revealed that the HPV genotype influences the natural course and response to treatment for plantar warts, suggesting that HPV genotyping could potentially be used to optimize wart treatment schemes. For this purpose, a wart-associated HPV genotyping assay was developed. The assay was subjected to an intensive validation process including, i.a., empiric determination of the annealing temperature, primer-probe optimization, evaluation of the analytical specificity and sensitivity, viral load quantification, and qualitative as well as quantitative analysis of intra-run repeatability and inter-run reproducibility. The newly developed assay was employed in a small-scale HPV genotyping study of wart biopsies (n = 50). The assay exhibited an analytical type-specific sensitivity and specificity of 100% (95% confidence interval [CI]: 83.9%-100%). The limit of quantification of the tested sequences corresponded to less than 17 viral copies/µl, while the limit of detection was less than 5 copies/µl. Very good to excellent agreements were gained between intra- and inter-run measurements (κ = 0.85-1.00) and coefficients of variation of the quantitative agreements were less then 3%. 22.5% (95% CI: 11%-39%) of the analyzed biopsies were negative for the tested HPV types, while 35% (95% CI: 21%-52%) contained multiple infections. The wart-associated HPV quantitative polymerase chain reaction assay was proven to be highly sensitive and specific. Multiple HPV infections were detected in 35% of lesions, contradicting the current literature claiming that in immunocompetent patients only 4%-16% of warts exhibit multiple HPV infections. This assay is qualified to be implemented in development of future genotype specific wart treatment strategies.

Efficacy of AV2-Salicylic acid combination therapy for cutaneous warts: Study protocol for a single-center randomized controlled trial.

Cutaneous warts comprise an extremely common condition caused by infection with the human papillomavirus (HPV). Although most verrucae will disappear spontaneously, many patients do seek treatment. Current wart treatments do not target the cause of the lesion directly, resulting in variable treatment efficacies and high wart recurrence rates. AV2 is a broad-spectrum antiviral drug, that is capable of deactivating HPV. It is however not able to destruct the already infected cells, which raises the need for an additional ablative treatment i.e. salicylic acid (SA). Implementation of AV2-Salicylic acid (AV2-SA) combination therapy would ensure permanent lesion clearance by on the one hand inactivation of HPV by AV2, and on the other hand elimination of the lesion by SA treatment. The primary aim of this study is to assess the efficacy of AV2-SA treatment versus standard SA treatment, by comparing cure and recurrence rates of cutaneous warts between the two treatment groups (at 12 weeks and six months after randomization). The second aim is to assess the safety and tolerability of AV2-SA therapy. The third aim is to identify subgroups of cutaneous warts that have favorable response to treatment, by comparing cure rates in an HPV genotype-specific manner. This randomized controlled trial will enroll 260 participants with cutaneous warts who will either receive the AV2-SA combination therapy or SA control treatment. Real time monitoring will be possible by daily photographs sent via WhatsApp™ (a messaging application) as well as online follow-up questionnaires administered on several occasions. HPV genotyping will be performed on swab self-samples.

Potential new biomarkers for squamous carcinoma of the uterine cervix.

AIM: An in silico pathway analysis was performed in an attempt to identify new biomarkers for cervical carcinoma. METHODS: Three publicly available Affymetrix gene expression data sets (GSE5787, GSE7803, GSE9750) were retrieved, vouching for a total 9 cervical cancer cell lines, 39 normal cervical samples, 7 CIN3 samples and 111 cervical cancer samples. An Agilent data set (GSE7410; 5 normal cervical samples, 35 samples from invasive cervical cancer) was selected as a validation set. Predication analysis of microarrays was performed in the Affymetrix sets to identify cervical cancer biomarkers. We compared the lists of differentially expressed genes between normal and CIN3 samples on the one hand (n=1923) and between CIN3 and invasive cancer samples on the other hand (n=628). RESULTS: Seven probe sets were identified that were significantly overexpressed (at least 2 fold increase expression level, and false discovery rate <5%) in both CIN3 samples respective to normal samples and in cancer samples respective to CIN3 samples. From these, five probes sets could be validated in the Agilent data set (P<0.001) comparing the normal with the invasive cancer samples, corresponding to the genes DTL, HMGB3, KIF2C, NEK2 and RFC4. These genes were additionally overexpressed in cervical cancer cell lines respective to the cancer samples. The literature on these markers was reviewed. CONCLUSION: Novel biomarkers in combination with primary human papilloma virus (HPV) testing may allow complete cervical screening by objective, non-morphological molecular methods, which may be particularly important in developing countries.