EPIC publication highlights

Image: Understanding Light by mik salac, CC licenseEPIC researchers (see the About us section) are very active publishers. Below is a summary of some of the recent publications that have come from collaborators of EPIC data in April/May 2015. You can access the paper on pubmed.com by clicking the title of the manuscript.

Circulating prolactin and in situ breast cancer risk in the European EPIC cohort: a case-control study. Tikk and colleagues recently investigated the relationship between the hormone prolactin and in situ breast cancer. In situ breast cancer accounts for about 20% of breast cancers, and may be a precursor for more invasive breast cancer types. Prolactin is involved predominantly with the production of milk during lactation, however has 100s of others roles as a response to things like eating, and ovulation. This study shows that higher levels of prolactin may be associated with an increased risk of in situ breast cancer.

Inflammatory markers and risk of epithelial ovarian cancer by tumor subtypes: the EPIC cohort. Ose and colleagues have shown that high levels of inflammation may play a role in the development of ovarian cancer. Inflammation may be caused by high levels of adiposity, or fat, particularly in the abdominal area. Further research utilising multiple cohort studies will help establish if inflammation due to adiposity is a cause of ovarian cancer.

Alcohol consumption and the risk of renal cancers in the European prospective investigation into cancer and nutrition (EPIC). Wozniak and colleagues demonstrated that moderate alcohol consumption is associated with a decreased risk of kidney cancer. These results will not challenge the overall recommendations of alcohol consumption. This research was published in the International Journal of Cancer.

Association between the Fatty Liver Index and Risk of Type 2 Diabetes in the EPIC-Potsdam Study. Jäger and colleagues have shown associations between the fatty liver index (a measure of fatty liver, which in turn is the most common disease of the liver) and a risk if Type 2 diabetes. This research was performed on the EPIC-Potsdam cohort.

Joint Effect of Unlinked Genotypes: Application to Type 2 Diabetes in the EPIC-Potsdam Case-Cohort Study. Knüppel and colleagues from EPIC-Potsdam have shown that the use of a genetic risk score (GRS) is an appropriate model to use when analysing datasets, after comparing four applied methods to establish any effect of nucleotide variation in Type 2 Diabetes.

 

Clare Berry

Clare Berry

Scientific Project Coordinator at Imperial College London
Clare Berry is a Scientific Project Coordinator at Imperial College, and takes on a project management role for the EPIC Cohort. Working from one of EPIC’s coordination centres, she manages the general day-to-day running of the cohort.

Research Interests: Clare Berry's background in research is diverse, including research into ovarian cancer, breast cancer, mammary gland biology and finally preterm neonate research and ventilation. After leaving the bench side for a more managerial role, she continues to show a keen interest in cancer research, and through the EPIC community is able to work alongside exceptional scientists making tangible public health impact through their discoveries.
Clare Berry

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