Evidence for hypoxia increasing the tempo of evolution in glioblastoma

Br J Cancer. 2020 Nov;123(10):1562-1569. doi: 10.1038/s41416-020-1021-5. Epub 2020 Aug 27.

Abstract

Background: Tumour hypoxia is associated with metastatic disease, and while there have been many mechanisms proposed for why tumour hypoxia is associated with metastatic disease, it remains unclear whether one precise mechanism is the key reason or several in concert. Somatic evolution drives cancer progression and treatment resistance, fuelled not only by genetic and epigenetic mutation but also by selection from interactions between tumour cells, normal cells and physical micro-environment. Ecological habitats influence evolutionary dynamics, but the impact on tempo of evolution is less clear.

Methods: We explored this complex dialogue with a combined clinical-theoretical approach by simulating a proliferative hierarchy under heterogeneous oxygen availability with an agent-based model. Predictions were compared against histology samples taken from glioblastoma patients, stained to elucidate areas of necrosis and TP53 expression heterogeneity.

Results: Results indicate that cell division in hypoxic environments is effectively upregulated, with low-oxygen niches providing avenues for tumour cells to spread. Analysis of human data indicates that cell division is not decreased under hypoxia, consistent with our results.

Conclusions: Our results suggest that hypoxia could be a crucible that effectively warps evolutionary velocity, making key mutations more likely. Thus, key tumour ecological niches such as hypoxic regions may alter the evolutionary tempo, driving mutations fuelling tumour heterogeneity.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Brain Neoplasms / genetics*
  • Brain Neoplasms / metabolism
  • Brain Neoplasms / pathology*
  • Cell Hypoxia / physiology
  • Cell Line, Tumor
  • Cell Proliferation / genetics
  • Clonal Evolution / physiology*
  • Computational Biology / methods
  • Disease Progression
  • Glioblastoma / genetics*
  • Glioblastoma / metabolism
  • Glioblastoma / pathology*
  • High-Throughput Nucleotide Sequencing / methods
  • High-Throughput Nucleotide Sequencing / statistics & numerical data
  • Humans
  • Image Processing, Computer-Assisted / methods
  • Image Processing, Computer-Assisted / statistics & numerical data
  • Models, Theoretical
  • Neoplasm Metastasis
  • Neoplastic Stem Cells / metabolism
  • Neoplastic Stem Cells / pathology
  • Oxygen / metabolism
  • Time Factors
  • Tumor Hypoxia / physiology*

Substances

  • Oxygen