Vanderbilt researchers have developed a computer algorithm that scans electronic health records, or EHRs, to identify patients who meet criteria for lung cancer screening.
The largest genomic analysis ever conducted of small cell lung cancer tumors (SCLC) has identified genetic subtypes and provided insights into the mechanisms of this aggressive and deadly cancer.
Vanderbilt’s Kim Sandler, MD, has been named co-chair of the Lung Cancer Screening Steering Committee for the American College of Radiology.
Adding blood and imaging biomarkers to a clinical prediction model could improve diagnostic accuracy for the 1.6 million lung nodules detected each year, many through expanded lung cancer screening programs.
Autoantibodies against the p53 tumor suppressor protein may be a novel biomarker for identifying people, especially African Americans, at high risk for lung cancer.
Vanderbilt’s Christine Lovly, MD, PhD, has received the 2022 Asclepios Award, which recognizes lung cancer research pioneers.
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