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Human papillomavirus genotype attribution in invasive cervical cancer: a retrospective cross-sectional worldwide study.
- Source :
-
The Lancet. Oncology [Lancet Oncol] 2010 Nov; Vol. 11 (11), pp. 1048-56. Date of Electronic Publication: 2010 Oct 15. - Publication Year :
- 2010
-
Abstract
- Background: Knowledge about the distribution of human papillomavirus (HPV) genotypes in invasive cervical cancer is crucial to guide the introduction of prophylactic vaccines. We aimed to provide novel and comprehensive data about the worldwide genotype distribution in patients with invasive cervical cancer.<br />Methods: Paraffin-embedded samples of histologically confirmed cases of invasive cervical cancer were collected from 38 countries in Europe, North America, central South America, Africa, Asia, and Oceania. Inclusion criteria were a pathological confirmation of a primary invasive cervical cancer of epithelial origin in the tissue sample selected for analysis of HPV DNA, and information about the year of diagnosis. HPV detection was done by use of PCR with SPF-10 broad-spectrum primers followed by DNA enzyme immunoassay and genotyping with a reverse hybridisation line probe assay. Sequence analysis was done to characterise HPV-positive samples with unknown HPV types. Data analyses included algorithms of multiple infections to estimate type-specific relative contributions.<br />Findings: 22,661 paraffin-embedded samples were obtained from 14,249 women. 10,575 cases of invasive cervical cancer were included in the study, and 8977 (85%) of these were positive for HPV DNA. The most common HPV types were 16, 18, 31, 33, 35, 45, 52, and 58 with a combined worldwide relative contribution of 8196 of 8977 (91%, 95% CI 90-92). HPV types 16 and 18 were detected in 6357 of 8977 of cases (71%, 70-72) of invasive cervical cancer. HPV types 16, 18, and 45 were detected in 443 of 470 cases (94%, 92-96) of cervical adenocarcinomas. Unknown HPV types that were identified with sequence analysis were 26, 30, 61, 67, 69, 82, and 91 in 103 (1%) of 8977 cases of invasive cervical cancer. Women with invasive cervical cancers related to HPV types 16, 18, or 45 presented at a younger mean age than did those with other HPV types (50·0 years [49·6-50·4], 48·2 years [47·3-49·2], 46·8 years [46·6-48·1], and 55·5 years [54·9-56·1], respectively).<br />Interpretation: To our knowledge, this study is the largest assessment of HPV genotypes to date. HPV types 16, 18, 31, 33, 35, 45, 52, and 58 should be given priority when the cross-protective effects of current vaccines are assessed, and for formulation of recommendations for the use of second-generation polyvalent HPV vaccines. Our results also suggest that type-specific high-risk HPV-DNA-based screening tests and protocols should focus on HPV types 16, 18, and 45.<br /> (Copyright © 2010 Elsevier Ltd. All rights reserved.)
- Subjects :
- Adenocarcinoma epidemiology
Adenocarcinoma pathology
Adenocarcinoma prevention & control
Adolescent
Adult
Age Factors
Aged
Aged, 80 and over
Carcinoma, Adenosquamous epidemiology
Carcinoma, Adenosquamous pathology
Carcinoma, Adenosquamous prevention & control
Carcinoma, Squamous Cell epidemiology
Carcinoma, Squamous Cell pathology
Carcinoma, Squamous Cell prevention & control
Cross-Sectional Studies
Female
Genetic Testing
Genotype
Humans
International Cooperation
Linear Models
Logistic Models
Mass Screening methods
Middle Aged
Neoplasm Invasiveness
Papillomaviridae immunology
Papillomavirus Infections epidemiology
Papillomavirus Infections pathology
Papillomavirus Infections prevention & control
Papillomavirus Vaccines therapeutic use
Paraffin Embedding
Polymerase Chain Reaction
Retrospective Studies
Uterine Cervical Neoplasms epidemiology
Uterine Cervical Neoplasms pathology
Uterine Cervical Neoplasms prevention & control
Young Adult
Adenocarcinoma virology
Carcinoma, Adenosquamous virology
Carcinoma, Squamous Cell virology
DNA, Viral isolation & purification
Papillomaviridae genetics
Papillomavirus Infections virology
Uterine Cervical Neoplasms virology
Subjects
Details
- Language :
- English
- ISSN :
- 1474-5488
- Volume :
- 11
- Issue :
- 11
- Database :
- MEDLINE
- Journal :
- The Lancet. Oncology
- Publication Type :
- Academic Journal
- Accession number :
- 20952254
- Full Text :
- https://doi.org/10.1016/S1470-2045(10)70230-8