Nordic biological specimen banks as basis for studies of cancer causes and control – more than 2 million sample donors, 25 million person years and 100 000 prospective cancers

Pukkala, Eero; Andersen, Aage; Berglund, Göran; Gislefoss, Randi Elin; Gudnason, Vilmundur; Hallmans, Göran; Jellum, Egil; Jousilahti, Pekka; Knekt, Paul; Koskela, Pentti; Kyyrönen, Pentti; Lenner, Per; Luostarinen, Tapio; Löve, Arthur; Ögmundsdóttir, Helga M.; Stattin, Pär; Tenkanen, Leena; Tryggvadóttír, Laufey; Virtamo, Jarmo; Wadell, Göran; Widell, Anders; Lehtinen, Matti; Dillner, Joakim

doi:10.1080/02841860701203545

Cited by 87 publications

(86 citation statements)

References 45 publications

(38 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…9 FMC is a serum bank of the National Institute for Health and Welfare in Finland, and contained in August 2005 about 1,470,000 serum samples from 723,000 women stored at 225…”

Section: Methodsmentioning

confidence: 99%

Order of HPV/Chlamydia infections and cervical high‐grade precancer risk: A case‐cohort study

Luostarinen

Namujju

Merikukka

et al. 2013

Intl Journal of Cancer

Self Cite

View full text Add to dashboard Cite

Interactions of carcinogenic human papillomaviruses (most notably HPV types 16=18=31=33=45), and HPV6 or Chlamydia trachomatis are not well understood. We have used seroconversions to study effects the order of these infections has on the risk of high-grade cervical precancer. In a cohort of 94,349 Finnish women with paired sera from consecutive pregnancies within an average of 2.4 years, 490 were diagnosed with cervical CIN3=AIS. Serum antibodies to HPV6=16=18=31=33=45 and C. trachomatis were measured in paired sera of the cases and a subcohort of 2,796 women with a minimum of two pregnancies. HPV16-adjusted rate ratios (RR) and confidence intervals were estimated by stratified Cox model. Compared to dual seropositivity already at the first serum sampling, RRs related to HPV6 seropositivity before and after HPV31 seroconversion were 0.4 (95% CI 0.0, 4.4) and 10 (95% CI 1.8, 57). Furthermore, RR related to seroconversions of both HPV18=45 and C.trachomatis between the consecutive pregnancies was 28 (95% CI 4.3, 190). Virtually concomitant HPV18=45 and C.trachomatis infections are associated with very high CIN3 risk.Persistence of a high-risk (hr) human papillomavirus (HPV) type is necessary for transformed cervical cells to progress to cancer cells. There are at least 12 carcinogenic hrHPV types. 1The most carcinogenic hrHPVs excluding type 16 are types 31, 33 and 58 in clade A9, and types 18 and 45 in clade A7.1,2 After HPV16 these are the most prevalent hrHPVs in invasive cervical cancer (ICC) and cervical intraepithelial neoplasia grade 3 (CIN3).3 Smoking and Chlamydia trachomatis are HPV16 independent risk factors for ICC and CIN3, 4,5 while HPV types 6 and 11 lower the risk associated with HPV16. 6-8 It is not known whether infections with a low-risk HPV or C. trachomatis need to precede hrHPV infections or not to exert their effects. Moreover, the superior carcinogenicity of HPV16 has made it difficult to study whether or not order in the chain of events matters.In a longitudinal setting we studied the order of acquisition of (seroconversions following) infections with C. trachomatis and five HPV types 6, 18, 31, 33, 45 in relation to the risk of developing CIN3 and adenocarcinoma in situ (AIS). The confounding by persistent HPV16 infection was controlled for by adjusting for associated HPV16 antibodies.

show abstract

“…9 FMC is a serum bank of the National Institute for Health and Welfare in Finland, and contained in August 2005 about 1,470,000 serum samples from 723,000 women stored at 225…”

Section: Methodsmentioning

confidence: 99%

Order of HPV/Chlamydia infections and cervical high‐grade precancer risk: A case‐cohort study

Luostarinen

Namujju

Merikukka

et al. 2013

Intl Journal of Cancer

Self Cite

View full text Add to dashboard Cite

show abstract

“…Health risk measures were assessed and nearly all of those attending the health survey also completed a diet and lifestyle questionnaire. Little evidence of selection bias has been demonstrated in the VIP, 17,18 suggesting a truly population-based cohort.…”

Section: Study Cohortmentioning

confidence: 99%

Low-carbohydrate, high-protein score and mortality in a northern Swedish population-based cohort

et al. 2012

View full text Add to dashboard Cite

BACKGROUND/OBJECTIVE: Long-term effects of carbohydrate-restricted diets are unclear. We examined a low-carbohydrate, high-protein (LCHP) score in relation to mortality. SUBJECTS/METHODS: This is a population-based cohort study on adults in the northern Swedish county of Västerbotten. In 37 639 men (1460 deaths) and 39 680 women (923 deaths) from the population-based Västerbotten Intervention Program, deciles of energy-adjusted carbohydrate (descending) and protein (ascending) intake were added to create an LCHP score (2 --20 points). Sex-specific hazard ratios (HR) were calculated by Cox regression. RESULTS: Median intakes of carbohydrates, protein and fat in subjects with LCHP scores 2 --20 ranged from 61.0% to 38.6%, 11.3% to 19.2% and 26.6% to 41.5% of total energy intake, respectively. High LCHP score (14 --20 points) did not predict all-cause mortality compared with low LCHP score (2 --8 points), after accounting for saturated fat intake and established risk factors (men: HR for high vs low 1.03 (95% confidence interval (CI) 0.88 --1.20), P for continuous ¼ 0.721; women: HR for high vs low 1.10 (95% CI 0.91 --1.32), P for continuous ¼ 0.229). For cancer and cardiovascular disease, no clear associations were found. Carbohydrate intake was inversely associated with all-cause mortality, though only statistically significant in women (multivariate HR per decile increase 0.95 (95% CI 0.91 --0.99), P ¼ 0.010). CONCLUSION: Our results do not support a clear, general association between LCHP score and mortality. Studies encompassing a wider range of macronutrient consumption may be necessary to detect such an association.

show abstract

“…Selection bias has been found to be low, 16 and the populationbased nature of the ViP cohort is supported by comparisons of cancer incidence rates. 17 …”

Section: Study Design and Cohortsmentioning

confidence: 99%

Components of One-carbon Metabolism Other than Folate and Colorectal Cancer Risk

et al. 2016

Self Cite

View full text Add to dashboard Cite

Background: Despite extensive study, the role of folate in colorectal cancer remains unclear. research has therefore begun to address the role of other elements of the folate-methionine metabolic cycles. this study investigated factors other than folate involved in one-carbon metabolism, i.e., choline, betaine, dimethylglycine, sarcosine, and methionine and relevant polymorphisms, in relation to the risk of colorectal cancer in a population with low intakes and circulating levels of folate. Methods: this was a prospective case-control study of 613 case subjects and 1,190 matched control subjects nested within the population-based northern Sweden Health and Disease Study. We estimated odds ratios (Or) by conditional logistic regression, and marginal risk differences with weighted maximum likelihood estimation using incidence data from the study cohort. Results: Higher plasma concentrations of methionine and betaine were associated with modest colorectal cancer risk reductions (Or [95% confidence interval {ci}] for highest versus lowest tertile: 0.76 [0.57, 0.99] and 0.72 [0.55, 0.94], respectively). estimated marginal risk differences corresponded to approximately 200 fewer colorectal cancer cases per 100,000 individuals on average. We observed no clear associations between choline, dimethylglycine, or sarcosine and colorectal cancer risk. the inverse association of methionine was modified by plasma folate concentrations (Or [95% ci] for highest/ lowest versus lowest/lowest tertile of plasma methionine/folate concentrations 0.39 [0.24, 0.64], P interaction = 0.06). Conclusions: in this population-based, nested case-control study with a long follow-up time from baseline to diagnosis (median: 8.2 years), higher plasma concentrations of methionine and betaine were associated with lower colorectal cancer risk.See Video abstract at http://links.lww.com/eDe/B83. (Epidemiology 2016;27: 787-796) O ne-carbon metabolism is an intracellular network involving the folate and methionine cycles, in which methyl groups and other one-carbon units are transferred to acceptor molecules ( Figure 1). a central role for one-carbon metabolism in cancer development is biologically plausible, as related nucleotide synthesis and methylation reactions including Dna methylation are vital for genome stability and function.the potential role of one-carbon metabolism in colorectal cancer development has been extensively studied, with most research to date focusing on folate. Diets rich in natural folates are associated with reduced risk of colorectal cancer. 1 However, a dual role of folate has been proposed, both preventing and promoting cancer, depending on the dose and timing of exposure. 2,3 Folate is not a one-carbon unit donor per se, but an enzymatic co-factor important for maintenance of the substrate flux in one-carbon metabolism. it might therefore be expected to stabilize the genome of normal mucosa, protecting against cancer, while accelerating the progression of precancerous or malignant lesions. 2 although evidence from animal...

show abstract

Nordic biological specimen banks as basis for studies of cancer causes and control – more than 2 million sample donors, 25 million person years and 100 000 prospective cancers

Abstract: (2007) Nordic biological specimen banks as basis for studies of cancer causes and control -more than 2 million sample donors, 25 million person years and 100 000 prospective cancers, Acta Oncologica, 46:3,

Cited by 87 publications

References 45 publications

Order of HPV/Chlamydia infections and cervical high‐grade precancer risk: A case‐cohort study

Order of HPV/Chlamydia infections and cervical high‐grade precancer risk: A case‐cohort study

Low-carbohydrate, high-protein score and mortality in a northern Swedish population-based cohort

Components of One-carbon Metabolism Other than Folate and Colorectal Cancer Risk

Contact Info

Product

Resources

About