Researchers analyzed data from 7,364 people in a lung cancer screening cohort. They looked at how genetic markers, known as polygenic risk scores, and common air pollutants like particulate matter affect the risk of developing lung cancer and dying from the disease.
The study found that higher genetic risk scores were linked to an increased likelihood of lung cancer and lung cancer-specific deaths. Additionally, exposure to certain air pollutants was associated with higher rates of lung cancer and specific types of lung cancer, such as adenocarcinoma. These factors combined with age and smoking history slightly improved the ability to identify who is at highest risk.
It is important to note that this study shows a link between these factors and lung cancer, but it does not prove that one causes the other. Because this was an observational analysis of a specific group, the results may not apply to everyone. These findings suggest that genetic scores could eventually help doctors better identify patients who need more intensive monitoring.
Common questions
What role do genetics play in lung cancer risk?
The study found that two different polygenic risk scores were linked to an increased risk of lung cancer. Specifically, the PRS-McKay score showed an odds ratio of 1.22 and the PRS-Byun score showed an odds ratio of 1.28 for lung cancer. Both scores were also associated with a higher risk of death specifically from lung cancer.
How does air pollution affect lung cancer risk?
The study found that exposure to particulate matter (PM2.5) was linked to an increased risk of lung cancer. Additionally, larger particles (PM10) and ultra-fine particles were both associated with a higher risk of adenocarcinoma, which is a specific type of lung cancer.
Can these factors help doctors identify high-risk patients?
When genetic scores and air pollution data were added to traditional factors like age and smoking history, the ability to distinguish who has lung cancer improved slightly. This suggests that these factors might eventually help doctors better identify individuals at a higher risk of dying from lung cancer.
