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Evidence for hypoxia increasing the tempo of evolution in glioblastoma.
- Source :
-
British journal of cancer [Br J Cancer] 2020 Nov; Vol. 123 (10), pp. 1562-1569. Date of Electronic Publication: 2020 Aug 27. - Publication Year :
- 2020
-
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.<br />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.<br />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.<br />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.
- Subjects :
- Algorithms
Brain Neoplasms metabolism
Cell Hypoxia physiology
Cell Line, Tumor
Cell Proliferation genetics
Computational Biology methods
Disease Progression
Glioblastoma metabolism
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
Brain Neoplasms genetics
Brain Neoplasms pathology
Clonal Evolution physiology
Glioblastoma genetics
Glioblastoma pathology
Tumor Hypoxia physiology
Subjects
Details
- Language :
- English
- ISSN :
- 1532-1827
- Volume :
- 123
- Issue :
- 10
- Database :
- MEDLINE
- Journal :
- British journal of cancer
- Publication Type :
- Academic Journal
- Accession number :
- 32848201
- Full Text :
- https://doi.org/10.1038/s41416-020-1021-5