A blood-based test developed by researchers at The University of Texas MD Anderson Cancer Center can predict an individual’s risk of dying from lung cancer when combined with a personalized risk model.
According to new data published in the Journal of Clinical Oncology, a blood-based four-protein panel (4MP), when combined with a lung cancer risk model (PLCOm2012), can better identify those at high risk of dying from lung cancer than the current U.S. Preventive Services Task Force (USPSTF) criteria.
These findings build upon previous MD Anderson research demonstrating the combination test more accurately determined who is likely to benefit from lung cancer screening than the USPSTF criteria.
For this study, MD Anderson researchers analyzed pre-diagnostic blood samples from the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial, including 552 individuals who later developed lung cancer and 2,193 who did not. Of the 552 individuals diagnosed during the six-year study period, 70% (387) died from lung cancer.
Using hazard ratios, the researchers assessed the relationship between the risk scores generated by the combination model (4MP + PLCOm2012) and the incidence of lung cancer death. The combination showed improved sensitivity, specificity and positive predictive value compared to the 2013 and 2021 USPSTF criteria for predicting lung cancer-specific mortality among individuals who smoked at least 10 pack-years (PYs).
The University of Texas MD Anderson Cancer Center release on Newswise
