Researchers at Uppsala University have used AI to develop a new method to study brain cancer. The method is based on transplanting tumour cells from patients to fish embryos, followed by observation with AI. The method, which is described in the scientific journal Neuro-Oncology, can partly replace current mouse models for studying tumour growth and treatment.
peer reviewed/experimental study/animals
One of the main challenges in cancer research is to study tumour growth and treatment in a relevant manner. To do this, cancer researchers often rely on experiments in mammals. A common type of experiment is based on transplanting tumour cells into mice, to characterise differences in tumour growth and therapy responses. Since mouse experiments are difficult and time consuming, and require mammals, it is important to find alternative ways.
“We have developed a model in zebrafish embryos as an alternative to mouse experiments. Cells are transplanted into zebrafish and monitored for four days, and at the same time they are filmed using an automatic microscope. The film is then analysed using AI. This is a powerful tool to measure tumour growth and to understand the effect of different drugs,” says Emil Rosén, PhD student at the Department of Immunology, Genetics and Pathology and one of the main authors of the study.
The researchers have used cancer cells from eleven patients with the brain tumour glioblastoma to evaluate the method. They found that cells from different patients had different survival, growth patterns and drug responses after being transplanted to the fish embryos.
“Not all cancer cells can grow in mouse models. We saw that the cells that didn’t grow in zebrafish didn’t grow in mice either. If the method can be used to predict how cells will function in mice, we can reduce the number of mice that are used in other studies. We have also successfully shown that the method can be employed to understand cancer metastasis and to test drugs, which makes it a promising alternative for some mouse experiments,” says Professor Sven Nelander, who has led the study.
Elin Almstedt, et al.; Real-time evaluation of glioblastoma growth in patient-specific zebrafish xenografts, Neuro-Oncology, 2021; DOI: 10.1093/neuonc/noab264, https://doi.org/10.1093/neuonc/noab264
Sven Nelander, Professor at Department of Immunology, Genetics and Pathology at Uppsala University, +46-18-471 4805, firstname.lastname@example.org
Emil Rosén, PhD student at Department of Immunology, Genetics and Pathology at Uppsala University, email@example.com
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