Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • CELLS  (1)
  • GENOMIC CHARACTERIZATION  (1)
  • 1
    Keywords: CLASSIFICATION ; recombination ; HIGH-THROUGHPUT ; ROLLING-CIRCLE AMPLIFICATION ; HEALTHY SKIN ; MAXIMUM-LIKELIHOOD ; GENOMIC CHARACTERIZATION ; Betapapillomavirus ; CETACEAN PAPILLOMAVIRUSES ; ALIGNMENTS
    Abstract: All amniotes are probably infected by specific papillomaviruses (PVs), but knowledge about PV diversity remains sparse. An insufficient taxon sampling, and a focus on humans as hosts, may perturb phylogenetic analyses leading to wrong conclusions about PV evolution. We performed a systematic approach to explore the diversity of PVs combining rolling circle amplification with the use of "universal" primers to search for the presence of novel PV sequences in animal samples. We communicate 12 sequences putatively corresponding to novel PVs gained from 10 host species in eight mammal families: Bovidae, Canidae, Cervidae, Equidae, Hominidae, Phocoenidae, Procyonidae and Pteropodidae. The phylogenetic position of the new sequences was inferred with an evolutionary placement algorithm under a Maximum Likelihood framework using a pre-computed, well-resolved tree constructed with the E1-E2-L1 gene sequences as a backbone. The new sequences were phylogenetically diverse and could be respectively placed with confidence within all four PV crown groups. The prevailing presence of sequences from the crown groups Alpha+Omikron-PVs and Beta+Xi-PVs may correspond to an increased viral diversity in these taxa, or rather reflect a combination of anthropocentric bias and preferential amplification from commonly used "universal" primers. Our results combined with literature data support the view that the number and diversity of animal PVs is overwhelmingly large.
    Type of Publication: Journal article published
    PubMed ID: 22960206
    Signatur Availability
    BibTip Others were also interested in ...
  • 2
    Keywords: CELLS ; RISK ; INFECTION ; LESIONS ; CERVICAL-CANCER ; intraepithelial neoplasia ; METAANALYSIS ; HIV ; VULVA ; GENOTYPE ATTRIBUTION
    Abstract: Knowledge about human papillomaviruses (HPV) types involved in anal cancers in some world regions is scanty. Here, we describe the HPV DNA prevalence and type distribution in a series of invasive anal cancers and anal intraepithelial neoplasias (AIN) grades 2/3 from 24 countries. We analyzed 43 AIN 2/3 cases and 496 anal cancers diagnosed from 1986 to 2011. After histopathological evaluation of formalin-fixed paraffin-embedded samples, HPV DNA detection and genotyping was performed using SPF-10/DEIA/LiPA25 system (version 1). A subset of 116 cancers was further tested for p16(INK4a) expression, a cellular surrogate marker for HPV-associated transformation. Prevalence ratios were estimated using multivariate Poisson regression with robust variance in the anal cancer data set. HPV DNA was detected in 88.3% of anal cancers (95% confidence interval [CI]: 85.1-91.0%) and in 95.3% of AIN 2/3 (95% CI: 84.2-99.4%). Among cancers, the highest prevalence was observed in warty-basaloid subtype of squamous cell carcinomas, in younger patients and in North American geographical region. There were no statistically significant differences in prevalence by gender. HPV16 was the most frequent HPV type detected in both cancers (80.7%) and AIN 2/3 lesions (75.4%). HPV18 was the second most common type in invasive cancers (3.6%). p16(INK4a) overexpression was found in 95% of HPV DNA-positive anal cancers. In view of the results of HPV DNA and high proportion of p16(INK4a) overexpression, infection by HPV is most likely to be a necessary cause for anal cancers in both men and women. The large contribution of HPV16 reinforces the potential impact of HPV vaccines in the prevention of these lesions.
    Type of Publication: Journal article published
    PubMed ID: 24817381
    Signatur Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...