Lung cancer is a smoking-related disease and the No. 1 cancer killer in Veterans. The early detection of lung cancer by CT scan significantly reduces the mortality. CT scan is now recommended for lung cancer screening in smokers. However, CT scan dramatically increases the number of indeterminate pulmonary nodules (PNs) in asymptomatic Veterans, whereas only a small fraction of PNs are lung tumors. Given the large number of referrals to unnecessary and harmful procedures for smokers with indeterminate PNs, there is an urgent need for biomarkers that can rule out lung cancer in Veterans with PNs by specifically diagnosing the disease. We have previously developed sputum-based small non-coding RNA (ncRNA) biomarkers for diagnosis of lung cancer. However, the sensitivity and specificity of the sputum assay with only 2-3 biomarkers are not sufficient, and need to be improved by identifying and including new biomarkers. The objective of this application is to identify new lung cancer-associated small ncRNAs and develop them as sputum biomarkers that can sufficiently exclude lung cancer in Veterans with PNs. To achieve the objective, we will define a small ncRNA profile of bronchial epithelial cells of lung cancer patients, and then optimize a panel of sputum biomarkers for lung cancer using our existing sputum samples. We will also validate the performance of the new biomarker panel in newly and prospectively collected sputum specimens. The success of the project will produce a useful tool that can complement CT screening for lung cancer by ruling out lung cancer in a CT screening positive setting, and hence reduce lung cancer-related mortality in Veterans.
Lung cancer is the leading cause of cancer death in Veterans. The National Lung Screening Trial has determined that the early detection of lung cancer by CT scan significantly reduces the mortality. However, CT significantly increases the number of indeterminate pulmonary nodules in asymptomatic individuals, whereas only a small fraction of pulmonary nodules are lung tumors, leading to high false positive rates. The diagnostic dilemma of the indeterminate nodule incidentally found on diagnostic or screening CT has created a need for reliable biomarkers capable of distinguishing benign from malignant disease. The objective of the proposed project is to develop biomarkers that can exclude lung cancer in a CT screening positive setting. Future use of the biomarkers could complement CT screening for precisely diagnosing lung cancer, and hence reduce lung cancer-related deaths in Veterans.
|Ma, Jie; Guarnera, Maria A; Zhou, Wenxian et al. (2017) A Prediction Model Based on Biomarkers and Clinical Characteristics for Detection of Lung Cancer in Pulmonary Nodules. Transl Oncol 10:40-45|
|Leng, Qixin; Lin, Yanli; Jiang, Fangran et al. (2017) A plasma miRNA signature for lung cancer early detection. Oncotarget 8:111902-111911|
|Li, Hui; Jiang, Zhengran; Leng, Qixin et al. (2017) A prediction model for distinguishing lung squamous cell carcinoma from adenocarcinoma. Oncotarget 8:50704-50714|
|Lin, Yanli; Leng, Qixin; Jiang, Zhengran et al. (2017) A classifier integrating plasma biomarkers and radiological characteristics for distinguishing malignant from benign pulmonary nodules. Int J Cancer 141:1240-1248|
|Li, Ning; Ma, Jie; Guarnera, Maria A et al. (2014) Digital PCR quantification of miRNAs in sputum for diagnosis of lung cancer. J Cancer Res Clin Oncol 140:145-150|
|Wang, J; Tian, X; Han, R et al. (2014) Downregulation of miR-486-5p contributes to tumor progression and metastasis by targeting protumorigenic ARHGAP5 in lung cancer. Oncogene 33:1181-9|
|Ma, Jie; Mannoor, Kaiissar; Gao, Lu et al. (2014) Characterization of microRNA transcriptome in lung cancer by next-generation deep sequencing. Mol Oncol 8:1208-19|
|Yu, Lei; Shen, Jun; Mannoor, Kaiissar et al. (2014) Identification of ENO1 as a potential sputum biomarker for early-stage lung cancer by shotgun proteomics. Clin Lung Cancer 15:372-378.e1|
|Shen, Jun; Liao, Jipei; Guarnera, Maria A et al. (2014) Analysis of MicroRNAs in sputum to improve computed tomography for lung cancer diagnosis. J Thorac Oncol 9:33-40|
|Shen, Jun; Stass, Sanford A; Jiang, Feng (2013) MicroRNAs as potential biomarkers in human solid tumors. Cancer Lett 329:125-36|