Grant Recipient: Dr. Steven M. Dubinett
Title of Project: Combined Protein and miRNA Profiles for the Early Detection of Lung Cancer
Sponsoring Institution: University of California, Los Angeles
Lung cancer accounts for more than 28 percent of all cancer deaths each year and is the leading cause of cancer related mortality in the United States causing more deaths than prostate, colon and breast cancers combined Despite focused research in conventional therapies, the five-year survival rate remains only 15 percent. Due to anti-tobacco initiatives the number of active smokers in the US is steadily declining, however recent studies suggest that individuals who quit smoking continue to have an elevated risk of lung cancer that may not return to baseline risk for as much as 30 years following smoking cessation. Owing to the lack of reliable early diagnostic techniques, most patients are being diagnosed with advanced stage disease that his inoperable and therefore they have a poor prognosis. Thus, there are more than 100 million current and former smokers in the US who have elevated risk for lung cancer and may benefit from a non-invasive test for early detection.
Patients at risk for lung cancer may have undetected disease for years prior to diagnosis. The clinical challenge is therefore to develop lung cancer detection methods that are effective during this window of opportunity to increase the rate of early detection and thereby spur early treatment and improve lung cancer patient outcomes. During tumorigenesis, the developing tumor forms a microenvironment that is comprised of many components and cell types. These complex cellular populations produce many soluble factors that could be important for tumor initiation and growth and thus potentially serve as lung cancer biomarkers. Small tumors, initiated in this environment, may remain undetected; however, the profile of soluble factors produced by the tumor mircorenvironment will be altered in the peripheral blood of cancer patients and could therefore have utility for the development of a diagnostic panel for early lung cancer detection. Because the blood vessels in the lungs comprise approximately 50% of the body’s total vasculature, the peripheral blood is expected to serve as a non-invasive biospecimen that reflects even small variations in lung cancer biomarkers. We hypothesize that interactions between tumor cells and host cells recruited into the local tumor microenvironment will result in the production of a unique biomarker signature composed of proteins and microRNA (miRNA) important for cancer progression.
Over the past decade, our laboratory has gathered substantial data supporting the analysis of soluble mediators of lung carcinogenesis including inflammatory, growth and angiogenic factors and miRNA. Additionally, since our early investigations, a considerable literature has developed describing the contribution of these factors to lung carcinogenesis. Based on these findings, in our preliminary studies we have developed a plasma protein-based biomarker panel that accurately distinguishes smokers with and without lung cancer. Our predictive model provided 97% sensitivity.