Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
A Longitudinal Comprehensive Biospecimen and Clinical Data Repository for Cancer Early Detection: The InAdvance Study.
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Kauffman Tia L, O'Donnell Elizabeth K, Marinac Catherine R, Babic Ana, Adams Kareem, Beckwith Jenna B, Berman Tara A, Brantley Kristen D, Chowdhury Dipanjan, Crompton Brian D, Diller Lisa R, Elias Kevin M, Feltmate Colleen M, Florez Narjust, Garber Judy E, Ghobrial Irene, Hanna Glenn J, Hormoz Sahand, Kamihara Junne, LeBoeuf Nicole R, Mittendorf Elizabeth A, Partridge Ann H, Rodriguez Nicolette J, Sands Jacob, Thapa Bicky, Weeks Lachelle D, Woo Sook-Bin, Yurgelun Matthew B, Parmigiani Giovanni, Rebbeck Timothy R, Syngal Sapna
Аннотация
BACKGROUND: The InAdvance Study addresses the critical need for comprehensive data and biospecimen collection from individuals at elevated risk for cancer. Despite the existence of numerous biobanks for patients with cancer and individuals at average risk for cancer, a gap persists in resources targeting individuals with an elevated risk for cancer.
METHODS: The InAdvance Study is longitudinally collecting biospecimens and health data from individuals with a range of cancer risk factors to facilitate collaborative research in cancer early detection and interception. Patient populations include those with precancerous or precursor lesions (e.g., oral precursor lesions and Barrett's esophagus), hereditary cancer risk, personal or family history of cancer, or a history of exposures associated with cancer risk. Additionally, we are enrolling patients receiving multicancer early detection (MCED) tests, family members of elevated risk participants, and controls. Key goals include optimized biospecimen collection through standardized procedures, participant enrollment and engagement through an online platform, and standardized scalable procedures. Data are compiled into a central repository, and researchers can request access through a streamlined data request process.
RESULTS: Since April 2023, 1,415 participants have enrolled in the study. In total, 817 (58%) completed the baseline survey, and 816 (58%) gave a baseline blood sample.
CONCLUSIONS: The InAdvance Study's comprehensive approach provides a framework for basic, population, and translational studies to elucidate the molecular and environmental factors that drive cancer development.
IMPACT: Comprehensive data and biospecimen biorepositories are critical to informing strategies for early detection, risk stratification, early interception for risk mitigation, and improved outcomes for higher-risk populations.
METHODS: The InAdvance Study is longitudinally collecting biospecimens and health data from individuals with a range of cancer risk factors to facilitate collaborative research in cancer early detection and interception. Patient populations include those with precancerous or precursor lesions (e.g., oral precursor lesions and Barrett's esophagus), hereditary cancer risk, personal or family history of cancer, or a history of exposures associated with cancer risk. Additionally, we are enrolling patients receiving multicancer early detection (MCED) tests, family members of elevated risk participants, and controls. Key goals include optimized biospecimen collection through standardized procedures, participant enrollment and engagement through an online platform, and standardized scalable procedures. Data are compiled into a central repository, and researchers can request access through a streamlined data request process.
RESULTS: Since April 2023, 1,415 participants have enrolled in the study. In total, 817 (58%) completed the baseline survey, and 816 (58%) gave a baseline blood sample.
CONCLUSIONS: The InAdvance Study's comprehensive approach provides a framework for basic, population, and translational studies to elucidate the molecular and environmental factors that drive cancer development.
IMPACT: Comprehensive data and biospecimen biorepositories are critical to informing strategies for early detection, risk stratification, early interception for risk mitigation, and improved outcomes for higher-risk populations.