A Longitudinal Comprehensive Biospecimen and Clinical Data Repository for Cancer Early Detection: The InAdvance Study.

Abstract

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.

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.

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.

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.

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.

EDRN PI Authors
Medline Author List
  • Adams K
  • Babic A
  • Beckwith JB
  • Berman TA
  • Brantley KD
  • Chowdhury D
  • Crompton BD
  • Diller LR
  • Elias KM
  • Feltmate CM
  • Florez N
  • Garber JE
  • Ghobrial I
  • Hanna GJ
  • Hormoz S
  • Kamihara J
  • Kauffman TL
  • LeBoeuf NR
  • Marinac CR
  • Mittendorf EA
  • O'Donnell EK
  • Parmigiani G
  • Partridge AH
  • Rebbeck TR
  • Rodriguez NJ
  • Sands J
  • Syngal S
  • Thapa B
  • Weeks LD
  • Woo SB
  • Yurgelun MB
PubMed ID
42059770
Sources
  • Cancer Data Expo
Appears In
Cancer Epidemiol Biomarkers Prev, 2026 Jul (issue 7)