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Here you can browse the complete list of projects on CDAS whose requests for data/biospecimens were approved.

Name Principal Investigator Institution Study Date Approved Project ID
Identification of factors associated with development and progression of monoclonal B-cell lymphocytosis (MBL) Ola Landgren Sylvester Comprehensive Cancer Center, University of Miami PLCO Jan 21, 2010 2009-0561
Identification of genetic and lifestyle determinants of estrogen metabolism profiles Fangcheng Yuan Vanderbilt University Medical Center PLCO Apr 19, 2023 PLCO-1199
Identification of High-Risk Cohorts using PLCO data for Targeted Gastric Cancer Prevention and Control Strategies Haejin In Albert Einstein College of Medicine PLCO Jan 27, 2020 PLCO-567
Identification of histologic signatures associated with adjuvant chemotherapy benefit in non-small cell lung cancer using an artificial intelligence-based assay David Kozono Valar Labs PLCO Aug 15, 2024 PLCOI-1637
Identification of Quantitative AI-histologic signatures associated with outcomes in colorectal cancer RICHARD GOLDBERG Valar Labs PLCO Jan 27, 2025 PLCOI-1794
Identification of Risk Factors and Patient Populations at Risk for Developing Cancer of the Head and Neck Jay Piccirillo Washington University School of Medicine in St. Louis PLCO Jul 14, 2022 PLCO-1003
Identify high-risk susceptibility genes for melanoma using population-based samples to follow-up on rare variants in potential melanoma susceptibility genes identified from melanoma-prone families Rose Yang NCI, DCEG, GEB PLCO Mar 7, 2014 2014-0017
Identifying DNA methylation patterns associated with Multiple Sclerosis Rodney Lea The University of Newcastle PLCO Jul 2, 2021 PLCO-802
Identifying histological features of lung cancer using deep learning Jennifer Beane Trustees of Boston University NLST May 11, 2021 NLST-794
Identifying LDCT imaging features associated with second primary lung cancer risk among lung cancer patients Summer Han Stanford University School of Medicine NLST Dec 18, 2023 NLST-1171
Identifying lethal lung cancers from non-lethal disease using CT and pathology image markers Peng Huang Johns Hopkins University PLCO Sep 20, 2017 2017-9001
Identifying metabolomic risk factors for pancreatic cancer Rachael Stolzenberg-Solomon NCI, DCEG, NEB PLCO Sep 5, 2012 2012-0066
Identifying novel genetic factors predisposing to inherited cardiac disorders Connie Bezzina Amsterdam Universitair Medisch Centrum PLCO Mar 25, 2024 PLCO-1507
Identifying Optimal Cohort for Renal Cell Cancer Screening Yair Lotan University of Texas Southwestern NLST Oct 9, 2014 NLST-92
Identifying Optimal Cohort for Renal Cell Cancer Screening Yair Lotan University of Texas Southwestern PLCO Oct 9, 2014 PLCO-109
Identifying risk factors associated with metastatic progression from non-metastatic primary lung cancer among NLST lung cancer patients Summer Han Stanford University NLST Dec 8, 2020 NLST-732
Identifying risk factors for breast cancer through machine learning Daniella Araujo Universidade Federal de Minas Gerais PLCO Nov 3, 2021 PLCO-853
Identifying risk factors for colorectal neoplasia through machine learning Daniella Araujo Universidade Federal de Minas Gerais PLCO Nov 30, 2021 PLCO-870
Identifying risk factors for depression and the role of depression in cancer Lei Zhang Uniformed Services University PLCO Aug 22, 2022 PLCO-1027
Identifying risk factors for treatment selection in NLST Stuart Baker NCI NLST Apr 9, 2013 NLST-15