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Title: Tissue scale agent-based simulation of premalignant progressions in Barrett’s esophagus

Journal Article · · Simulation
ORCiD logo [1]; ORCiD logo [1];  [2];  [2];  [3]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  2. Columbia Univ., New York, NY (United States)
  3. Icahn School of Medicine at Mount Sinai, New York, NY (United States); Massachusetts General Hospital, Boston, MA (United States)

Barrett’s esophagus (BE) is a benign condition of the distal esophagus that initiates a multistage pathway to esophageal adenocarcinoma (EAC). Short of frequent intrusive (and costly) surveillance, effective screening for neoplasia in BE populations is yet to be established since progressors are rare and virtually undetectable without routine biopsies, which often sample only a small portion of the BE tissue. As a result, reliable estimation of the true prevalence of dysplasia in a BE population and evidence-based optimization of screening for at-risk individuals is challenging. Data-driven microsimulations, i.e., model-generated instances of disease history in a predefined virtual population, have found utility in the EAC screening literature as low-overhead alternatives to real-world hypothesis testing of optimal interventions for dysplasia. Despite the successes, computational limitations, paucity of knowledge and data on Barrett’s dysplasia, and the complexities of disease progression as a multiscale multiphysics process have hindered the treatment of disease progression in BE as a spatial process. Agent-based modeling of nucleation and proliferation processes in dysplasia warrants exploration in this context as an approximation that operates at a trade-off between computational tractability and precise representation of the composition and physics of the substrate (tissue). In this study, we describe spatially resolved simulations of premalignant progression toward EAC in a coarse-grained model of Barrett’s tissue that resolves the metaplastic tissue at a length scale of 0.42 mm (~3300 crypts/mm2). Finally, the model is calibrated to reproduce historical high-grade dysplasia prevalence when model-generated patients are screened using the Seattle protocol.

Research Organization:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE; National Institutes of Health (NIH)
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1817610
Journal Information:
Simulation, Vol. 98, Issue 4; ISSN 0037-5497
Publisher:
SAGECopyright Statement
Country of Publication:
United States
Language:
English

References (21)

Symptomatic Gastroesophageal Reflux as a Risk Factor for Esophageal Adenocarcinoma journal March 1999
Barrett's Esophagus journal August 2014
Development, Calibration, and Validation of a U.S. White Male Population-Based Simulation Model of Esophageal Adenocarcinoma journal March 2010
Jumbo biopsy forceps protocol still misses unsuspected cancer in Barrett's esophagus with high-grade dysplasia journal February 1999
Augmenting Epidemiological Models with Point-Of-Care Diagnostics Data journal April 2016
Age- and sex-specific yield of Barrett's esophagus by endoscopy indication journal January 2010
A Multiscale Model Evaluates Screening for Neoplasia in Barrett’s Esophagus journal May 2015
Systematic Four-Quadrant Biopsy Detects Barrett's Dysplasia in More Patients Than Nonsystematic Biopsy journal April 2008
Age and sex differences in the incidence of esophageal adenocarcinoma: results from the Surveillance, Epidemiology, and End Results (SEER) Registry (1973-2008): Esophageal adenocarcinoma incidence journal October 2013
Rising Incidence of Adenocarcinoma of the Esophagus and nGastric Cardia journal March 1991
Understanding the dynamics of inter-provincial migration in the Mekong Delta, Vietnam: an agent-based modeling study journal January 2021
Outcome of adenocarcinoma arising in Barrett's esophagus in endoscopically surveyed and nonsurveyed patients journal November 1994
An agent-based model of avascular tumor growth: Immune response tendency to prevent cancer development journal March 2017
Analyzing the impact of modeling choices and assumptions in compartmental epidemiological models journal April 2016
Trends in esophageal adenocarcinoma incidence and mortality: Trends in EAC Incidence and Mortality journal December 2012
Comparative study of simulated annealing, tabu search, and the genetic algorithm for calibration of the microsimulation model journal January 2017
American Gastroenterological Association Technical Review on the Management of Barrett's Esophagus journal March 2011
Barrett's Esophagus with High-Grade Dysplasia: An Indication for Prophylactic Esophagectomy journal January 1996
Prospective Multivariate Analysis of Clinical, Endoscopic, and Histological Factors Predictive of The Development of Barrett's Multifocal High-Grade Dysplasia or Adenocarcinoma journal January 1999
Dysplasia and Cancer in a Large Multicenter Cohort of Patients With Barrett’s Esophagus journal May 2006
Original article: The prevalence of Barrett's esophagus in the US: estimates from a simulation model confirmed by SEER data: The prevalence of Barrett's esophagus journal August 2010


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