High-risk human papillomavirus status and prognosis in invasive cervical cancer: a nationwide cohort study

Creator/Principal investigator(s):

Pär Sparén - Karolinska Institutet, Department of Medical Epidemiology and Biostatistics orcid

Description:

High-risk human papillomavirus (hrHPV) infection is established as the major cause of invasive cervical cancer (ICC). However, whether hrHPV status in the tumor is associated with subsequent prognosis of ICC is controversial. We aim to evaluate the association between tumor hrHPV status and ICC prognosis using national registers and comprehensive human papillomavirus (HPV) genotyping.

In this nationwide population-based cohort study, we identified all ICC diagnosed in Sweden during the years 2002–2011 (4,254 confirmed cases), requested all archival formalin-fixed paraffin-embedded blocks, and performed HPV genotyping. Twenty out of 25 pathology biobanks agreed to the study, yielding a total of 2,845 confirmed cases with valid HPV results. Cases were prospectively followed up from date of cancer diagnosis to 31 December 2015, migration from Sweden, or death, whichever occurred first. The main exposure was tumor hrHPV status classified as hrHPV-positive and hrHPV-negative. The primary outcome was all-cause mortality by 31 December 2015. Five-year relative survival ratios (RSRs) were calculated,

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Principal organisation:

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Creator/Principal investigator(s):

Pär Sparén - Karolinska Institutet, Department of Medical Epidemiology and Biostatistics orcid

Identifiers:

SND-ID: SND 1064

Purpose:

To compile a comprehensive survival and HPV genotyping data and provide a large-scale population-based evaluation of the association between tumor high risk HPV status and prognosis of invasive cervical cancer.

Description:

High-risk human papillomavirus (hrHPV) infection is established as the major cause of invasive cervical cancer (ICC). However, whether hrHPV status in the tumor is associated with subsequent prognosis of ICC is controversial. We aim to evaluate the association between tumor hrHPV status and ICC prognosis using national registers and comprehensive human papillomavirus (HPV) genotyping.

In this nationwide population-based cohort study, we identified all ICC diagnosed in Sweden during the years 2002–2011 (4,254 confirmed cases), requested all archival formalin-fixed paraffin-embedded blocks, and performed HPV genotyping. Twenty out of 25 pathology biobanks agreed to the study, yielding a total of 2,845 confirmed cases with valid HPV results. Cases were prospectively followed up from date of cancer diagnosis to 31 December 2015, migration from Sweden, or death, whichever occurred first. The main exposure was tumor hrHPV status classified as hrHPV-positive and hrHPV-negative. The primary outcome was all-cause mortality by 31 December 2015. Five-year relative survival ratios (RSRs) were calculated,

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Language:

English

Geographic spread:

Geographic location: Sweden

Unit of analysis:

Population:

Women diagnosed as cervical cancer during year 2002-2011 in Sweden

Time Method:

Sampling procedure:

Other

Ethics Review:

Stockholm —2011/1026-31/4, 2017/1028/32, 02- 189 556, 2012/1028/32, 2011/921-32

Biobank is connected to the study:

Yes

Funding:

Swedish Research Council —2014-03732; 2017-02346

Swedish Foundation for Strategic Research, SSF —KF10-0046; RB 13-0011

The Swedish Cancer Society —110569; 140665

Contact person for questions about the data:

Per Hall

Publications

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Lei J, Ploner A, Lagheden C, Eklund C, Nordqvist Kleppe S, Andrae B, Elfström KM, Dillner J, Sparén P, Sundström K (2018). High-risk human papillomavirus status and prognosis in invasive cervical cancer: A nationwide cohort study. PLoS Med 15(10): e1002666. DOI: 10.1371/journal.pmed.1002666

If you have published anything based on these data, please notify us with a reference to your publication(s).

Version 1.0:

Dataset SND 1061-001

High-risk human papillomavirus status and prognosis in invasive cervical cancer: a nationwide cohort study. Dataset 1

Citation:

Pär Sparén. Karolinska Institutet, Department of Medical Epidemiology and Biostatistics (2019). High-risk human papillomavirus status and prognosis in invasive cervical cancer: a nationwide cohort study. Dataset 1. Swedish National Data Service. Version 1.0. https://doi.org/10.5878/rtxk-6790

Description:

This dataset (ccHPV_RelativeSurvival.dta) comprises 2845 invasive cervical cancer (ICC) cases diagnosed in Sweden during the years 2002-2011, and had valid human papillomavirus (HPV) results assessed from the formalin-fixed, paraffin-embedded (FFPE) blocks.

In order to control the risk of incidental disclosure of personal information, the data available here has been anonymized in the following manner:
• The date of diagnosis has been moved to 2008-07-01 for all subjects.
• Follow-up time has b

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Data format / data structure:

Numeric

Data collection:

Mode of collection: Aggregation

Time period(s) for data collection: 2002-01-01 — 2015-12-31

Data collector: Statistics Sweden

Source of the data: Population group, Biological samples

Variables:

11

Number of individuals/objects:

2845

Version 1.0:

Dataset SND 1064-002

High-risk human papillomavirus status and prognosis in invasive cervical cancer: a nationwide cohort study. Dataset 2

Citation:

Pär Sparén. Karolinska Institutet, Department of Medical Epidemiology and Biostatistics (2019). High-risk human papillomavirus status and prognosis in invasive cervical cancer: a nationwide cohort study. Dataset 2. Swedish National Data Service. Version 1.0. https://doi.org/10.5878/vc29-ft86

Description:

This is an aggregated dataset (popmort_agg_2000_2015.dta) including the average survival rates of the Swedish female population, by age, for years 2000-2015. The dataset is generated based on the age-, gender- and calender year- specific survival rates of the Swedish population during the same calendar period.

The dataset included 4 variables:
• Sex: Gender (all female): 2=female.
• _age: Age (in years)
• _year: Calendar year
• Prob: Survival probability in corresponding age and calendar year

Data format / data structure:

Numeric

Data collection:

Mode of collection: Observation

Time period(s) for data collection: 2000-01-01 — 2015-12-31

Data collector: Karolinska Institute

Source of the data: Population group, Biological samples

Variables:

4