Study sheds light on how ‘junk DNA’ affects inherited cancer risk

NewsGuard 100/100 Score

A person’s risk of developing cancer is affected by genetic variations in regions of DNA that don’t code for proteins, previously dismissed as ‘junk DNA’, according to new research published in the British Journal of Cancer today (Friday).

Study sheds light on how ‘junk DNA’ affects inherited cancer risk

This new study shows that inherited cancer risk is not only affected by mutations in key cancer genes – known as oncogenes and tumor suppressor genes – but that variations in the DNA that controls the expression of these genes can also drive the disease.

Led by an international team of scientists, this research sheds new light on why some people develop cancer, while others don’t. Understanding how non-coding DNA affects the development of this disease could one day improve genetic screening for cancer risk. And in the future, this could lead to new prevention strategies, or help doctors diagnose the disease earlier, when it is more likely to be treated successfully.

The researchers investigated 846 genetic changes within non-coding stretches of DNA, identified by previous studies as affecting cancer risk. These Single Nucleotide Polymorphisms (SNPs) are particular positions in the human genome where a single letter of the genetic code varies between people.

Unlike mutations in coding DNA, such as BRCA, that are rare but significantly raise a person’s risk of developing cancer, non-coding SNPs are relatively common in the population but only slightly increase cancer risk.

The team analyzed whether there was a correlation between the presence of a particular SNP and the expression of particular genes. In total, they looked at over 6 million genetic variants across 13 different body tissues.

They found that variations in the regions that regulate the expression of oncogenes and tumor suppressor genes affect cancer risk. The study also revealed that these cancer-risk SNPs tend to be specifically located in regions that regulate the immune system and tissue-specific processes – highlighting the importance of these cellular processes to the development of cancer.

Professor John Quackenbush, lead researcher of the study from Harvard T.H. Chan School of Public Health, said:

What we found surprised us as it had never been reported before – our results show that small genetic variations work collectively to subtly shift the activity of genes that drive cancer. We hope that this approach could one day save lives by helping to identify people at risk of cancer, as well as other complex diseases”.

The researchers’ next step will be to develop AI models to better predict cancer risk. They also aim to identify ‘control centres’ that regulate the expression of many genes relevant to cancer development, which could be targeted by new cancer treatments.

Dr Emily Farthing, senior research information manager at Cancer Research UK, said:

While minor genetic changes only have a small impact on cancer risk, the variations analyzed in this study are numerous and common in the population. This could begin to explain some of the variation in cancer incidence between individuals and families that cannot be explained through well-known cancer-risk genes or lifestyle factors alone.”

Source:
Journal reference:

Fagny, M., et al. (2019) Nongenic cancer-risk SNPs affect oncogenes, tumour-suppressor genes, and immune function. British Journal of Cancer. doi.org/10.1038/s41416-019-0614-3.

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...
Breakthrough imaging method enhances precision in prostate cancer treatment