Exploring Ductal Carcinoma In-Situ to Invasive Ductal Carcinoma Transitions Using Energy Minimization Principles

Authors
Publication date 2022
Host editors
  • Derek Groen
  • Clélia de Mulatier
  • Maciej Paszynski
  • Valeria V. Krzhizhanovskaya
  • Jack J. Dongarra
  • Peter M.A. Sloot
Book title Computational Science - ICCS 2022
Book subtitle 22nd International Conference, London, UK, June 21–23, 2022 : proceedings
ISBN
  • 9783031087509
ISBN (electronic)
  • 9783031087516
Series Lecture Notes in Computer Science
Event 22nd Annual International Conference on Computational Science, ICCS 2022
Volume | Issue number I
Pages (from-to) 375-388
Publisher Cham: Springer
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
  • Interfacultary Research - Institute for Advanced Study (IAS)
Abstract
Ductal carcinoma in-situ (DCIS) presents a risk of transformation to malignant intraductal carcinoma (IDC) of the breast. Three tumor suppressor genes RB, BRCA1 and TP53 are critical in curtailing the progress of DCIS to IDC. The complex transition process from DCIS to IDC involves acquisition of intracellular genomic aberrations and consequent changes in phenotypic characteristics and protein expression level of the cells. The spatiotemporal dynamics associated with breech of epithelial basement membrane and subsequent invasion of stromal tissues during the transition is less understood. We explore the emergence of invasive behavior in benign tumors, emanating from altered expression levels of the three critical genes. A multiscale mechanistic model based on Glazier-Graner-Hogeweg method-based modelling (GGH) is used to unravel the phenotypical and biophysical dynamics promoting the invasive nature of DCIS. Ductal morphologies including comedo, hyperplasia and DCIS, evolve spontaneously from the interplay between the gene activity parameters in the simulations. The spatiotemporal model elucidates the cause-and-effect relationship between cell-level biological signaling and tissue-level biophysical response in the ductal microenvironment. The model predicts that BRCA1 mutations will act as a facilitator for DCIS to IDC transitions while mutations in RB act as initiator of such transitions.
Document type Conference contribution
Language English
Published at
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