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Modeling the Evolution of Ploidy in a Resource Restricted Environment

  • Gregory Kimmel
  • , Jill Barnholtz-Sloan
  • , Hanlee Ji
  • , Philipp Altrock
  • , Noemi Andor

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Gliomas are tumors that evolve from glial cells in the brain or spine. Most gliomas are diagnosed as either lower-grade lesions (grade II) or Glioblastoma (grade IV). Progression of lower-grade gliomas (LGG) to Glioblastoma (GBM) is accompanied by a phenotypic switch to a highly invasive tumor cell phenotype. Converging evidence from different cancer types, including colorectal-, breast-, and lung- cancers, suggests a strong enrichment of high ploidy cells among metastatic lesions as compared to the primary tumor [1, 2]. Even in normal development: trophoblast giant cells - the first cell type to terminally differentiate during embryogenesis - are responsible for invading the placenta and strikingly these cells can have up to 1000 copies of the genome [5]. All this points to the existence of a ubiquitous mechanism that links high DNA content to an invasive phenotype. We formulate a mechanistic Grow-or-go model that postulates higher energy demands of high-ploidy cells as a driver of their invasive behavior. We will test whether this mechanism may contribute to the quick recurrence of GBMs after surgery [7] and whether it can explain striking differences in the prognostic power of integrin signaling and cell cycle progression between males and females [13].

Original languageEnglish
Title of host publicationMathematical and Computational Oncology - 1st International Symposium, ISMCO 2019, Proceedings
EditorsGeorge Bebis, Takis Benos, Ken Chen, Katharina Jahn, Ernesto Lima
PublisherSpringer
Pages29-34
Number of pages6
ISBN (Print)9783030352097
DOIs
StatePublished - 2019
Externally publishedYes
Event1st International Symposium on Mathematical and Computational Oncology, ISMCO 2019 - Lake Tahoe, United States
Duration: 14 Oct 201916 Oct 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11826 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Symposium on Mathematical and Computational Oncology, ISMCO 2019
Country/TerritoryUnited States
City Lake Tahoe
Period14/10/1916/10/19

Keywords

  • Glioblastoma
  • Mathematical modeling
  • Ploidy

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