The Alpha-1 Foundation Therapeutic Development Network (TDN) aims to make it easier to design and carry out clinical trials that enhance the treatment of patients with Alpha-1 Antitrypsin Deficiency (AATD). To achieve this, the TDN will establish a network of clinical trial centers that have enough patients to gather a comprehensive database of clinical and genetic information. This data will be crucial in determining the criteria for including or excluding participants in the trials and in recruiting suitable subjects.
Specifically, this study will enroll participants by in person or remote consent who will allow collection of medical records to be entered into an Alpha-1 TDN database. Participants will then be invited to future clinical trials.
The purpose of this study is to identify whether investigational blood and tissue testing can detect cancer cells in the blood stream can tell if subjects are responding to their individual treatment plans.
Participation will last as long as the subject's individual treatment plan and will consist of collecting tissue biopsies (10 slides), which will be taken during the subject's standard of care procedure, as well as blood draws (between 1 and 2 tablespoons), which will be taken during each of the subject's standard of care clinic appointments throughout their care journey.
The Southeastern Consortium for Lung Cancer Health Equity (SC3), led by Dr. Robert A. Winn, assembles an outstanding interdisciplinary team of translational researchers positioned in the heart of the historical and current tobacco-producing region within the southeast. Collectively, SC3's investigative team has unparalleled experience in lung cancer screening, translational research in lung cancer health disparities, community outreach and engagement, and recruiting and retaining racial and ethnic minorities and individuals from other medically underserved groups using evidence-based strategies. As NCI-designated cancer centers, all three centers report high enrollment of underserved minorities onto interventional trials and are committed to reducing the substantial disparities found in lung cancer outcomes in their collective Black/African American and rural communities.
The purpose of this study is to learn more about interstitial lung disease through collection of information and blood samples to be used in future research projects. Basic information and a blood sample will be collected in conjunction with clinical care for this study, approximately every 3 months.
This study is designed to collect saliva and blood samples from subjects going through the Lung Cancer Screening Program to compare biomarker test results to develop lung cancer clinical risk prediction models further. Also, this study will store blood samples in a biorepository.
This study is designed to collect saliva and blood samples from subjects going through the Lung Cancer Screening Program to compare biomarker test results to develop lung cancer clinical risk prediction models further. Also, this study will store blood samples in a biorepository.
This study is designed to collect saliva and blood samples from subjects going through the Lung Cancer Screening Program to compare biomarker test results to develop lung cancer clinical risk prediction models further. Also, this study will store blood samples in a biorepository.
This study is designed to collect saliva and blood samples from subjects going through the Lung Cancer Screening Program to compare biomarker test results to develop lung cancer clinical risk prediction models further. Also, this study will store blood samples in a biorepository.
This study is designed to collect saliva and blood samples from subjects going through the Lung Cancer Screening Program to compare biomarker test results to develop lung cancer clinical risk prediction models further. Also, this study will store blood samples in a biorepository.
This study is designed to collect saliva and blood samples from subjects going through the Lung Cancer Screening Program to compare biomarker test results to develop lung cancer clinical risk prediction models further. Also, this study will store blood samples in a biorepository.