Iron status in relation to cancer risk and mortality: Findings from a population-based prospective study.
Daniel A Quintana PachecoDisorn SookthaiMirja E GrafRuth SchübelTheron JohnsonVerena A KatzkeRudolf KaaksTilman KühnPublished in: International journal of cancer (2018)
While experimental evidence suggests potential carcinogenic effects of increased iron load, there is a lack of data on iron status and cancer risk from epidemiological studies. Here, we evaluated prediagnostic serum concentrations of ferritin, iron and transferrin as well as transferrin saturation (TSAT) in relation to cancer risk and mortality in a prospective study by multivariable Cox regression analyses. A case-cohort sample of the population-based EPIC-Heidelberg Study including a random subcohort (n = 2738) and incident cases of breast cancer (n = 627), prostate cancer (n = 554), lung cancer (n = 195), colorectal cancer (n = 256) and cancer death (n = 759) was used. Ferritin levels were inversely associated with breast cancer risk in the multivariable Cox regression model, with a hazard ratio (HR) of 0.67 [95% confidence interval: 0.49, 0.92] for women in the highest quartile compared to those in the lowest quartile. Neither ferritin nor the other markers of iron status were significantly associated with colorectal, prostate or lung cancer risk. An inverse association was observed between ferritin and total cancer mortality (HR: 0.70 [0.53, 0.92]). There were no significant overall associations between serum iron, transferrin or TSAT and cancer mortality. The present findings do not support the notion of increased iron load constituting a cancer risk factor in the general population. By contrast, our analyses revealed inverse associations between ferritin levels and breast cancer risk as well as cancer mortality.
Keyphrases
- iron deficiency
- papillary thyroid
- prostate cancer
- breast cancer risk
- cardiovascular events
- risk factors
- cardiovascular disease
- childhood cancer
- magnetic resonance imaging
- magnetic resonance
- type diabetes
- radical prostatectomy
- lymph node metastasis
- adipose tissue
- single cell
- metabolic syndrome
- computed tomography
- coronary artery disease
- young adults
- deep learning