| Literature DB >> 35885852 |
Patryk Poniewierza1, Grzegorz Panek2.
Abstract
BACKGROUND: Each year 604,127 new cases of cervical cancer (CC) are diagnosed, and 341,831 individuals die from the disease. It is the fourth most common cancer among women and the fourth most common cause of death from female cancers worldwide. The pathogenesis of CC is associated with human papillomavirus (HPV) infections and consists of several steps involving cell proliferation outside the human body's control mechanisms. Strategies to prevent CC are based on screening and vaccination. SCOPE OF THE REVIEW: The aim of this paper was to collect and analyze the available literature on the issue of CC prevention and the impact of the COVID-19 pandemic on its implementation. For this purpose, PubMed and Google Scholar databases were searched using keywords, such as "cervical cancer"; "HPV"; "prevention"; "prophylaxis"; "vaccination"; "screening" and "COVID-19" in different variations. Only articles published since 2018 were included in the study.Entities:
Keywords: COVID-19; HPV; biomarkers; cervical cancer; nanotheranostics; prevention; screening; vaccination
Year: 2022 PMID: 35885852 PMCID: PMC9319342 DOI: 10.3390/healthcare10071325
Source DB: PubMed Journal: Healthcare (Basel) ISSN: 2227-9032
Selected potential biomarkers of cervical cancer.
| Potential Biomarker of Cervical Cancer | Sensitivity/Specificity [%] | Main Conclusion | Reference |
|---|---|---|---|
| SEPT9 | 89.5/63.3% | SEPT9 may be a potential screening and therapeutic biomarker in CC | Jiao et al. (2019) |
| ZNF582 | 71/81% | The use of HPV DNA testing and the ZNF582 methylation assay improves diagnostic accuracy compared to HPV DNA testing alone. | Li et al. (2019) |
| PAX1 | 86/85% | Diagnosis of PAX1 methylation can be incorporated into a CC screening regimen | Fang et al. (2019) [ |
| SOX1 | 96/99% | The sensitivity and specificity of SOX1 allow its use in early detection programs for CC | Zhang et al. (2020) [ |
Implementation of CC prevention programs in selected European countries.
| Country | National CC Screening Program | National HPV Vaccination Program | Reference |
|---|---|---|---|
| Austria | Pap smear after age 18 | Yes, for girls and boys | Sroczynski et al. (2020) [ |
| Belgium | Pap smear every 3 years, possibility of HPV DNA test | Yes | Jolidon et al. (2020) [ |
| Czech Republic | Pap smear every year over age 15 | Yes | Altova et al. (2021) [ |
| Denmark | Pap smear in women | Yes, girls 12 years old and older | Pedersen et al. (2018) [ |
| Estonia | Pap smear every 5 years in women aged 30–55 years | Yes, girls aged 12–14 | Ojamaa et al. (2018) [ |
| France | Pap smear every 3 years in women aged 25–65 years | Yes, girls aged 11–14 Additional opportunity to vaccinate girls aged 15–19 | de Rycke et al. (2020) [ |
| The Netherlands | HPV test in women aged 30–60 years (65 years if previous HPV test was positive) at intervals of every 5 years until age 40, then every 10 years | Yes, vaccination of girls at age 12 | Maver et al. (2020) [ |
| Malta | LBC in women aged 27–39, Pap smear in women aged 40–64 | Yes, girls at age 12 | Deguara et al. (2021) [ |
| Germany | Pap smear up to 35 years old, co-test 35–65 years old | Yes, for boys and girls aged 9–14 | Hrgovic et al. (2020) [ |
| Poland | Pap smear in women aged 25–59, every 3 years | No | Osowiecka et al. (2021) [ |
| Portugal | Determined by individual regions of the country (HPV test, LBC, Pap smear) performed every 3 years, or every 5 years in age groups 25–60, 25–64, 30–65 | Yes, girls up to age 13 | Marques et al. (2022) [ |
Cervical cancer—mortality rates in selected European countries.
| Country | Age-Standardized Rate | Cumulative Mortality Risk |
|---|---|---|
| Austria | 1.8 | 0.37 |
| Belgium | 2.0 | 0.42 |
| Czech Republic | 3.6 | 0.73 |
| Denmark | 2.2 | 0.53 |
| Estonia | 4.3 | 0.81 |
| The Netherlands | 1.4 | 0.32 |
| France | 2.2 | 0.42 |
| Malta | 1.1 | 0.26 |
| Germany | 2.2 | 0.44 |
| Poland | 5.9 | 1.04 |
| Portugal | 3.2 | 0.63 |
Age-standardized rate—per 100,000 women per year. Cumulative mortality risk—describes the probability of death between ages 0 and 74.