New Tool To Predict People’s Risk Of Developing Lung Cancer In Future

Researchers at the University of Nottingham have helped to develop a new tool called ‘CanPredict’, which is able to identify the people most at risk of developing lung cancer over the next 10 years, and put them forward for screening tests earlier, saving time, money and, most importantly, lives.

Featured in the journal Lancet Respiratory Medicine, the researchers worked with colleagues at the University of Oxford to develop and test the tool using the anonymised health records of more than 19 million adults from across the UK.

Lung cancer is the second most common cancer in incidence and the leading cause of cancer deaths worldwide. However, lung cancer screening – ‘catching it early’ – has been shown to improve survival rates. Because of this, in September 2022 the UK National Screening Committee recommended using targeted lung cancer screening. However, the committee did not recommend which tools would best be used for targeting screening at people most at risk.

We set out to develop a tool that could be used to identify people at highest risk of developing lung cancer based on data already recorded in their medical records. The tool performed well when we tested it in a separate group of people, and appeared to be better at identifying people who would go on to develop lung cancer than some other approaches. It could help to inform prioritisation of people for targeted lung cancer screening in the UK and so enable diagnoses to be made at an earlier stage.
Carol Coupland, Professor of Medical Statistics in Primary Care in the university’s School of Medicine, senior researcher at the University of Oxford and one of the study co-authors,
Current methods to target screening rely on doctors recognising high-risk individuals or using tools based on using patient questionnaires to score risk and put those at highest forward.

David Baldwin, Honorary Professor of Medicine and Consultant Physician in the School of Medicine added: “In targeted lung cancer screening the object is only to screen those who are more likely to develop the condition. This avoids harm in people at low risk and increases cost effectiveness. Much research has been focussed on multivariable models to predict risk of lung cancer and this model outperforms others when applied to primary care data.”

To develop the new tool the researchers used two separate sets of health record data. Using the QResearch Database – which, in total, contains the anonymised health records of more than 35 million patients, spanning all ethnicities and social groups across the UK – to identify 13 million people aged 25 to 84 years old, among whom 73,380 had a diagnosis of lung cancer. They then looked back through their health records to identify common factors which might be used to statistically predict their risk of developing the cancer. Factors such as smoking, age, ethnicity, body mass index, medical conditions and social deprivation (and others) were considered as part of the analysis.

Once the tool was developed, the researchers needed to test it. They did this using a separate set of anonymised GP health records – the Clinical Practice Research Datalink (CPRD).

The researchers used the CPRD data (which contained data from an additional 2.54 million people’s anonymised health records) to see which people their new tool predicted were at the greatest risk of developing lung cancer, and then compared this to those who did go on to develop lung cancer.

The new CanPredict tool correctly identified more people who went on to develop lung cancer and was more sensitive than current recommended methods of predicting risk, across 5-, 6-, and 10-year forecasts.

Improving early diagnosis of lung cancer is incredibly important both for the NHS but especially for patients and their families. We hope that this new validated risk tool will help better prioritise patients for screening and ultimately help spot lung cancer earlier when treatments are more likely to help. We’d like to thank the many thousands of GPs who have shared anonymised data for research without whom this would not have been possible.
Professor Julia Hippisley-Cox, senior author and Professor of Clinical Epidemiology and General Practice and the Nuffield Department of Primary Care Health Sciences, University of Oxford
The researchers plan to make the tool publicly available for use, subject to further funding for implementation in day-to-day practice and to ensure Medicines and Healthcare Products Regulatory Agency (MHRA) medical device compliance.