More genetic sites associated with increase in breast cancer risk discovered

Scientists discover five new genetic sites that increase breast cancer risk

Scientists have found five new regions of the genome that increase a woman's risk of developing breast cancer by between six and 16 per cent, according to a study in Nature Genetics today (Sunday)1.

The results of the study, funded by Cancer Research UK and the Wellcome Trust and carried out by scientists at the University of Cambridge and The Institute of Cancer Research, takes the total number of common 'low risk' genetic sites associated with breast cancer to 18.

The increased risk conferred by these genetic variants is small. But as more of these 'low risk' sites are found it may be possible to create tests for a combination of them that together significantly increase risk.

This could help doctors make decisions about prevention, diagnosis and treatment for women who are more likely to get breast cancer.

One of the sites identified contains a gene called CDK2NA, which regulates the process of cell division and is altered in the DNA of many tumours. This gene has also been linked to increasing the risk of a type of skin cancer called melanoma.

Interestingly, most of the regions found appear to predispose predominantly towards oestrogen receptor positive breast cancers. This could open new avenues for research into the use of drugs such as tamoxifen, which can reduce the risk of this form of breast cancer.

The scientists scanned the entire genetic code of over 4,000 women with breast cancer and a family history of the disease for genetic variations that cropped up more often compared to healthy women.

They then tested the most promising regions in over 12,000 women with breast cancer, and 12,000 women without breast cancer, in an international collaboration.

Study author Professor Nazneen Rahman, Professor of Human Genetics at the ICR, said: "Our results now take the total number of gene regions linked to the risk of breast cancer to 18, but we still don't know which genes are causing this increased risk. Identifying the underlying genes and mechanisms behind breast cancer development is essential to increasing our understanding of the disease and ultimately finding new treatments."

Lead author Professor Doug Easton, director of Cancer Research UK's Genetic Epidemiology Unit at the University of Cambridge, said: "While each of these sites have a small impact on breast cancer risk, by finding more of these genes we may be able to develop a test that can predict more reliably a woman's risk of developing breast cancer."

Breast cancer is the most common cancer in the UK with more than 45,500 new cases diagnosed each year.

Lifestyle factors play an important role in influencing the risk of breast cancer, but inherited factors are also important in determining an individual woman's risk of the disease.

Dr Helen George, head of science information at Cancer Research UK, said: "This is by far the largest study of its kind to explore the common genetic variations that contribute to breast cancer risk. This research takes us a step closer to developing a powerful genetic test for the disease. Such a test could help doctors identify women who have an increased breast cancer risk so that they can make informed decisions about how to take steps to reduce their chance of developing the disease."

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
AI-powered tool predicts gene activity in cancer cells from biopsy images