Following healthy lifestyle might mitigate high genetic risk of cancer

·3 min read
Representative image
Representative image

Washington [US], July 31 (ANI): A new study conducted by researchers from the American Association for Cancer Research explored how consumers' lifestyles can impact their risk of developing cancer, even in individuals with a high genetic risk.

This study by the lead author, Guangfu Jin, PhD, a professor at Nanjing Medical University, was published in the journal Cancer Research.

As genetic research continues to uncover loci, or areas in DNA, with specific changes that influence cancer risk, researchers can define polygenic risk scores (PRS)--personalized estimates of an individual's cancer risk--based on a patient's unique combination of these changes. However, most PRS are generated for a specific cancer type, rather than for overall cancer risk.

"A PRS indicating risk of a certain cancer is important but not enough," Jin said. "We tried to create an indicator--the cancer polygenic risk score (CPRS)--to measure the genetic risk of cancer as a whole."

How the Study Was Conducted: Jin and colleagues calculated individual PRS for 16 cancers in men and 18 cancers in women, using available data from genome-wide association studies.

They then used statistical methods to combine these scores into a single measure of cancer risk, based on the relative proportion of each cancer type in the general population. Separate CPRS was generated for men and women.

To validate their CPRS, the researchers utilized genotype information from 202,842 men and 239,659 women from the UK Biobank, a cohort of general-population participants recruited from England, Scotland, and Wales between 2006 and 2009, and calculated a CPRS for each individual.

UK Biobank participants were surveyed upon enrollment for various lifestyle factors, including smoking and alcohol consumption, body mass index, exercise habits, and typical diet. Based on these factors, Jin and colleagues classified each patient as having an unfavourable (zero to one healthy factor), intermediate (two to three healthy factors), or favourable (four to five healthy factors) overall lifestyle.

Results: Patients with the highest quintile CPRS were nearly twice as likely (for men) and 1.6 times as likely (for women) to have a cancer diagnosis by their most recent follow-up, in 2015 or 2016.

Notably, 97 per cent of patients in the study had a high genetic risk (top quintile) of at least one cancer type. "This suggests that almost everyone is susceptible to at least one type of cancer," Jin said. "It further indicates the importance of adherence to a healthy lifestyle for everyone."

Patients with an unfavourable lifestyle and the highest quintile genetic risk were 2.99 times (in men) and 2.38 times (in women) more likely to develop cancer than those with a favourable lifestyle and the lowest quintile of genetic risk.

Among patients with high genetic risk, the five-year cancer incidence was 7.23 per cent in men and 5.77 per cent in women with an unfavourable lifestyle, compared with 5.51 per cent in men and 3.69 per cent in women with a favourable lifestyle.

The decreased percentages are comparable to the cancer risk in individuals with intermediate genetic risk, Jin said. Similar trends were observed in all genetic risk categories, suggesting that patients could benefit from a healthy lifestyle regardless of genetic risk.

Author's Comments: "Our findings indicate that everyone should have a healthy lifestyle to decrease overall cancer risk," Jin said. "This is particularly important for individuals with a high genetic risk of cancer. We hope our CPRS could be useful to improve a person's awareness of their inherited susceptibility to cancer as a whole and facilitate them to participate in healthy activities."

Study Limitations: Limitations of this study include the fact that only the strongest genetic risk loci were included in the individual PRS, which disregards the influence of loci with weaker effects. Researchers also noted an imbalance in the number of loci included between different cancer types, which can potentially skew their individual impact. (ANI)

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