ArticlePLoS computational biology2015
A Multiscale Model Evaluates Screening for Neoplasia in Barrett's Esophagus.
Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
19 citing papers in PubMed, 33 citations in OpenAlex.
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- Digital twins are integral to personalizing medicine and improving public health.Nature reviews. Gastroenterology & hepatology · 2024Article
- Computational modeling of locoregional recurrence with spatial structure identifies tissue-specific carcinogenic profiles.Frontiers in oncology · 2023Article
- Cancer's second genome: Microbial cancer diagnostics and redefining clonal evolution as a multispecies process: Humans and their tumors are not aseptic, and the multispecies nature of cancer modulates clinical care and clonal evolution: Humans and their tumors are not aseptic, and the multispecies nature of cancer modulates clinical care and clonal evolution.BioEssays : news and reviews in molecular, cellular and developmental biology · 2022Review
- Modeling historic incidence trends implies early field cancerization in esophageal squamous cell carcinoma.PLoS computational biology · 2021Article
- Optimal Timing for Cancer Screening and Adaptive Surveillance Using Mathematical Modeling.Cancer research · 2021Article
- Mathematical Modeling of Locoregional Recurrence Caused by Premalignant Lesions Formed Before Initial Treatment.Frontiers in oncology · 2021Article
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- The 2019 mathematical oncology roadmap.Physical biology · 2019Review
- Case Studies of Gastric, Lung, and Oral Cancer Connect Etiologic Agent Prevalence to Cancer Incidence.Cancer research · 2018Article
- An evolutionary perspective on field cancerization.Nature reviews. Cancer · 2018Review
- Coarse-graining and hybrid methods for efficient simulation of stochastic multi-scale models of tumour growth.Journal of computational physics · 2017Article
- Evolution of Premalignant Disease.Cold Spring Harbor perspectives in medicine · 2017Review
- Parameter estimation for multistage clonal expansion models from cancer incidence data: A practical identifiability analysis.PLoS computational biology · 2017Article
- Quantifying the Dynamics of Field Cancerization in Tobacco-Related Head and Neck Cancer: A Multiscale Modeling Approach.Cancer research · 2016Article
- Stochastic multi-scale models of competition within heterogeneous cellular populations: Simulation methods and mean-field analysis.Journal of theoretical biology · 2016Article
- Multi-scale Modeling in Clinical Oncology: Opportunities and Barriers to Success.Annals of biomedical engineering · 2016Review
- A Molecular Clock Infers Heterogeneous Tissue Age Among Patients with Barrett's Esophagus.PLoS computational biology · 2016Article
- Quantifying Clonal and Subclonal Passenger Mutations in Cancer Evolution.PLoS computational biology · 2016Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Barrett's esophagus (BE) patients are routinely screened for high grade dysplasia (HGD) and esophageal adenocarcinoma (EAC) through endoscopic screening, during which multiple esophageal tissue samples are removed for histological analysis. We propose a computational method called the multistage clonal expansion for EAC (MSCE-EAC) screening model that is used for screening BE patients in silico to evaluate the effects of biopsy sampling, diagnostic sensitivity, and treatment on disease burden. Our framework seamlessly integrates relevant cell-level processes during EAC development with a spatial screening process to provide a clinically relevant model for detecting dysplastic and malignant clones within the crypt-structured BE tissue. With this computational approach, we retain spatio-temporal information about small, unobserved tissue lesions in BE that may remain undetected during biopsy-based screening but could be detected with high-resolution imaging. This allows evaluation of the efficacy and sensitivity of current screening protocols to detect neoplasia (dysplasia and early preclinical EAC) in the esophageal lining. We demonstrate the clinical utility of this model by predicting three important clinical outcomes: (1) the probability that small cancers are missed during biopsy-based screening, (2) the potential gains in neoplasia detection probabilities if screening occurred via high-resolution tomographic imaging, and (3) the efficacy of ablative treatments that result in the curative depletion of metaplastic and neoplastic cell populations in BE in terms of the long-term impact on reducing EAC incidence.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.