An international team of interdisciplinary researchers has successfully created a method for better 3D modelling of complex cancers. The University of Waterloo–based team combined cutting-edge bioprinting techniques with synthetic structures or microfluidic chips. The method will help lab researchers more accurately understand heterogeneous tumours, which are tumours with more than one kind of cancer cell, often dispersed in unpredictable patterns.
Traditionally, medical practitioners would biopsy a patient’s tumour, extract cells, and then grow them in flat petri dishes in a lab. “For fifty years, this was how biologists understood tumours,” said Nafiseh Moghimi, an applied mathematics post-doctoral researcher and the lead author of the study. “But a decade ago, repeated treatment failures in human trials made scientists realise that a 2D model does not capture the real tumour structure inside the body.”
The team’s research addresses this problem by creating a 3D model that not only reflects the complexity of a tumour but also simulates its surrounding environment. The research appears in Nature.
The research, which took place in the Mathematical Medicine Lab under the supervision of applied mathematics professor Mohammad Kohandel, united advancements from several disciplines. “We are creating something that is very, very new in Canada. Maybe just a couple of labs are doing something even close to this research,” Moghimi said.
First, the team created polymer “microfluidic chips”: tiny structures etched with channels that mimic blood flow and other fluids surrounding a patient’s tumour. Next, the team grew multiple types of cancer cells and suspended these cell cultures in their own customised bioink: a cocktail of gelatine, alginate, and other nutrients designed to keep the cells cultures alive.
Finally, they used an extrusion bioprinter – a device that resembles a 3D printer but for organic material – to layer the different types of cancer cells onto the prepared microfluidic chips. The result is a living, three-dimensional model of complex cancers that scientists can then use to test different modes of treatment, such as various chemotherapy drugs.
Moghimi and her team are particularly interested in creating complex models of breast cancer. After skin cancer, breast cancer is the most common cancer diagnosed in women. Breast cancer is especially challenging to treat because it appears as complex tumours containing multiple types of cells when it metastasises. Relying on the cells from one or two biopsies to accurately represent an entire tumour can lead to ineffective treatment plans and poor outcomes.
The 3D-printed tumour models exemplify how new technology enables faster, less expensive, and less painful treatments for serious conditions like late-stage breast cancer.