
How Does LungVax Work?
LungVax works by teaching the immune system how to recognize abnormal lung cells that may eventually become cancer.
When healthy cells turn cancerous changes happen inside their DNA. These changes create unusual proteins called neoantigens. Scientists describe these proteins as warning signals because they are different from the proteins found in normal healthy cells.
The problem is that the immune system often does not notice these dangerous cells early enough. Cancer can slowly grow and spread before the body realizes something is wrong.
The LungVax vaccine is designed to solve that problem.
The vaccine contains genetic instructions that help train immune cells to recognize neoantigens linked to lung cancer. Once the immune system learns what to look for it may be able to attack and destroy abnormal cells before cancer fully develops.
Researchers say the technology works in a similar way to the Oxford AstraZeneca COVID 19 vaccine. Both use a harmless viral delivery system to safely carry genetic material into the body and trigger an immune response.
Scientists hope this could allow the body to stop certain lung cancers during their earliest stages long before symptoms appear.
What Scientists Say About LungVax
Scientists involved in the project believe LungVax could become a major breakthrough in cancer prevention.
Professor Sarah Blagden from the University of Oxford said the vaccine represents a new way of fighting lung cancer before it begins.
“We are developing a vaccine to stop the formation of lung cancer in people at high risk. This is an important step forward in preventing this devastating disease.”
Professor Tim Elliott who leads the LungVax research team at Oxford also explained why cancer can be difficult for the immune system to detect naturally.
“Cancer is a disease of our own bodies and it is hard for the immune system to distinguish between what is normal and what is cancer.”
Researchers believe the vaccine could potentially target around 90% of lung cancer cases based on computer models and previous research.

