RESUMO
Disturbed cervicovaginal-microbiome (CVM) structure promotes human papillomavirus (HPV) persistence and reflects risks of cervical lesions and cancer onset and recurrence. Therefore, microbiomic biomarkers may be useful for cervical disease screening and patient management. Here, by 16S rRNA gene sequencing and commercial PCR-based diagnostic kits, we profiled CVM in cytological preparations from 140 HPV-tested women (from Novosibirsk, Russia) with normal cytological findings, cervical lesions, or cancer and from 101 women who had recently received different cancer therapies. An increase in lesion severity was accompanied by higher HPV prevalence and elevated CVM biodiversity. Post-treatment CVM was found to be enriched with well-known microbial biomarkers of dysbiosis, just as in cervical disease. Nonetheless, concentrations of some skin-borne and environmental species (which gradually increased with increasing lesion severity)-especially Cutibacterium spp., Achromobacter spp., and Ralstonia pickettii-was low in post-treatment patients and depended on treatment types. Frequency of Lactobacillus iners dominance was high in all groups and depended on treatment types in post-treatment patients. Microbiome analysis via PCR-based kits revealed statistically significant differences among all groups of patients. Thus, microbiome profiling may help to find diagnostic and prognostic markers for management of cervical lesions; quantitative PCR-based kits may be suitable for these purposes.
RESUMO
Cervical cancer screening is based on cytologic analysis and high-risk human papillomavirus (HR-HPV) testing, each having their drawbacks. Implementation of new biomarker-based methods may improve screening accuracy. Here, the levels of 25 microRNAs (miRNAs, miRs) and 12 mRNAs involved in cervical carcinogenesis in 327 air-dried Papanicolaou-stained cervical smears from patients with cervical precancerous lesions, cancer, or without the disease were estimated by real-time PCR. Using logistic regression analysis, small-scale miRNA-based, mRNA-based, and combined molecular classifiers were built based on paired ratios of miRNA or mRNA concentrations; their ability to detect high-grade cervical lesions and cancer was then compared. Combined mRNA-miRNA classifiers manifested a better combination of sensitivity and specificity than miRNA- and mRNA-based classifiers. The best classifier, combining miR-375, miR-20, miR-96, CDKN2A, TSP4, and ECM1, predicted high-grade lesions with diagnostic sensitivity of 89.0%, specificity of 84.2%, and a receiver-operating characteristic area under the curve of 0.913. Additionally, in a subsample of the same specimens, the levels of MIR124-2 and MAL promoter methylation, HR-HPV genotypes, and viral loads were analyzed. The relative high-grade lesion risk estimated by the classifier correlated with the frequency of MAL and MIR124-2 methylation but not with the HR-HPV genotype or viral load. The results support the feasibility of cellular biomarker-based methods for cervical screening and patient management.
Assuntos
Biomarcadores Tumorais/genética , Detecção Precoce de Câncer/métodos , MicroRNAs/genética , Papillomaviridae/genética , Infecções por Papillomavirus/complicações , RNA Mensageiro/genética , Neoplasias do Colo do Útero/diagnóstico , Adulto , Citodiagnóstico , DNA Viral/genética , Feminino , Humanos , Pessoa de Meia-Idade , Infecções por Papillomavirus/genética , Infecções por Papillomavirus/virologia , Lesões Pré-Cancerosas/diagnóstico , Lesões Pré-Cancerosas/epidemiologia , Lesões Pré-Cancerosas/genética , Lesões Pré-Cancerosas/virologia , Neoplasias do Colo do Útero/epidemiologia , Neoplasias do Colo do Útero/genética , Neoplasias do Colo do Útero/virologia , Displasia do Colo do Útero/diagnóstico , Displasia do Colo do Útero/epidemiologia , Displasia do Colo do Útero/genética , Displasia do Colo do Útero/virologiaRESUMO
We estimated the frequency of CYP1A1, CYP1A2, CYP1B1, CYP19, and SULT1A1 allelic variants in a female population of the Novosibirsk district and their association with the elevated risk of breast (BC), ovarian (OC), and endometrial (EC) cancers. Significant differences (OR = 2.34, p = 0.0002) in the allele distributions for CYP1A1 M1 polymorphism between patients with BC (n = 118) and controls (n = 180) were found. No significant difference in both genotype and allele distributions for CYP1A1 polymorphisms in patients with OC (n = 96) and EC (n = 154) was observed. Remarkable differences in the allele and genotype distributions for CYP1A2*1F polymorphism in patients with BC or OC were found (OR = 0.26, p = 0.0000005 and OR = 0.34, p = 0.00000002). There were no differences for this polymorphism in women with EC. In patients with BC no significant differences were found in genotype and allele distributions for R264C polymorphism in the CYP19 gene. The frequency of a mutant CYP19 heterozygote genotype C/T was higher in patients with OC and EC compared with healthy women (OR = 3.87, p = 0.001 and OR = 3.73, p = 0.0004, respectively). Comparison of allele frequencies revealed a deficiency of an allele A of SULT1A1*2 in patients with OC (OR = 0.64, p = 0.019) compared with controls. No differences were found in the genotype and allele distributions for SULT1A1 polymorphism between patients with BC and EC and controls. In addition, there were no difference in allele and genotype distributions for CYP1B1 119G-->T polymorphism between BC and control. In conclusion, these results support the hypothesis that susceptibility gene alleles of estrogen-metabolizing enzymes may differentially influence risk for woman hormone-dependent cancers.
