Literature DB >> 24590453

The population impact of familial cancer, a major cause of cancer.

Christoph Frank1, Mahdi Fallah, Jianguang Ji, Jan Sundquist, Kari Hemminki.   

Abstract

The population attributable fraction (PAF) defines the proportion of a disease that would be prevented if the exposure to a particular risk factor was avoided. Familial risk is a known risk factor for many cancers, but an unbiased estimation of the PAF for familial risk requires a large study population to include rare cancers. PAFs and their corresponding standardized incidence ratios (SIRs) were calculated for familial relative risk among first-degree relatives (FDRs) and second-degree relatives (SDRs) diagnosed with the same (concordant) invasive or in situ cancers. Calculations were based on the Swedish Family-Cancer Database considering 8,148,737 individuals. To assess environmental effects, PAFs were also calculated for concordant cancers among spouses. Almost all cancers showed a significant familial risk. The highest PAFs were found for the common cancers of the prostate (13.94%), breast (7.46%) and colorectum (6.78%) among the FDRs. In the FDRs, the overall PAF for any concordant cancer was 4.20%, but in the SDRs, it was only 0.34%. The overall PAFs for in situ cancers were 0.86% and 0.56% for the FDRs and SDRs, respectively. The overall independent familial PAF was 5.96% for the invasive and in situ cancers in the FDRs and SDRs. The cancers between spouses yielded an overall PAF of 0.14%. For esophageal cancer, the risk among spouses was higher than the familial risk. Our study shows that the overall familial PAF of 5.96%, although underestimated for sex-specific cancers, ranks as the third most common population burden after tobacco smoking and unhealthy diet.
© 2013 UICC.

Entities:  

Keywords:  Sweden; familial risk; population attributable fraction; spouse risk; standardized incidence ratio

Mesh:

Year:  2013        PMID: 24590453     DOI: 10.1002/ijc.28510

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  25 in total

Review 1.  What characterizes cancer family history collection tools? A critical literature review.

Authors:  J E Cleophat; H Nabi; S Pelletier; K Bouchard; M Dorval
Journal:  Curr Oncol       Date:  2018-08-14       Impact factor: 3.677

2.  Dairy consumption and incident risk of thyroid cancer in Japan: a pooled analysis of the Miyagi Cohort Study and the Ohsaki Cohort Study.

Authors:  Marina Tanitame; Yumi Sugawara; Yukai Lu; Sanae Matsuyama; Seiki Kanemura; Akira Fukao; Ichiro Tsuji
Journal:  Eur J Nutr       Date:  2022-08-11       Impact factor: 4.865

3.  A positive family history as a risk factor for prostate cancer in a population-based study with organised prostate-specific antigen screening: results of the Swiss European Randomised Study of Screening for Prostate Cancer (ERSPC, Aarau).

Authors:  Marco Randazzo; Alexander Müller; Sigrid Carlsson; Daniel Eberli; Andreas Huber; Rainer Grobholz; Lukas Manka; Ashkan Mortezavi; Tullio Sulser; Franz Recker; Maciej Kwiatkowski
Journal:  BJU Int       Date:  2015-10-06       Impact factor: 5.588

4.  Familial risk of non-Hodgkin lymphoma by sex, relationship, age at diagnosis and histology: a joint study from five Nordic countries.

Authors:  M Fallah; E Kharazmi; E Pukkala; S Tretli; J H Olsen; L Tryggvadottir; K Sundquist; K Hemminki
Journal:  Leukemia       Date:  2015-10-06       Impact factor: 11.528

5.  Location of metastases in cancer of unknown primary are not random and signal familial clustering.

Authors:  Kari Hemminki; Kristina Sundquist; Jan Sundquist; Akseli Hemminki; Jianguang Ji
Journal:  Sci Rep       Date:  2016-03-09       Impact factor: 4.379

6.  Familial Associations of Colorectal Cancer with Other Cancers.

Authors:  Hongyao Yu; Akseli Hemminki; Kristina Sundquist; Kari Hemminki
Journal:  Sci Rep       Date:  2017-07-12       Impact factor: 4.379

7.  Incidence trends in bladder and lung cancers between Denmark, Finland and Sweden may implicate oral tobacco (snuff/snus) as a possible risk factor.

Authors:  Kari Hemminki; Asta Försti; Akseli Hemminki; Börje Ljungberg; Otto Hemminki
Journal:  BMC Cancer       Date:  2021-05-25       Impact factor: 4.430

8.  Expression of miR-451a in Prostate Cancer and Its Effect on Prognosis.

Authors:  Bo Fan; Xiaohua Jin; Qi Ding; Cheng Cao; Yi Shi; Hailiang Zhu; Wenjun Zhou
Journal:  Iran J Public Health       Date:  2021-04       Impact factor: 1.429

9.  Population Landscape of Familial Cancer.

Authors:  C Frank; M Fallah; J Sundquist; A Hemminki; K Hemminki
Journal:  Sci Rep       Date:  2015-08-10       Impact factor: 4.379

10.  Prostate cancer, prostate cancer death, and death from other causes, among men with metabolic aberrations.

Authors:  Christel Häggström; Tanja Stocks; Gabriele Nagel; Jonas Manjer; Tone Bjørge; Göran Hallmans; Anders Engeland; Hanno Ulmer; Björn Lindkvist; Randi Selmer; Hans Concin; Steinar Tretli; Håkan Jonsson; Pär Stattin
Journal:  Epidemiology       Date:  2014-11       Impact factor: 4.822

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.