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04 December 2024 | Story André Damons | Photo André Damons
Breast Cancer Research 2024
The research team consist of Dr Beynon Abrahams (left), Viwe Fokazi, MMed.Sci student, and PhD student Songezo Vazi.

In an effort to better understand chemotherapeutic treatment response in triple negative breast cancer (TNBC) – known as an aggressive cancer with high recurrence and high mortality rate in breast cancer patients – researchers from the University of the Free State (UFS) developed a drug-resistant TNBC spheroid model that is physiologically more accurate in displaying the complexities involved in drug-resistance development.

Dr Beynon Abrahams, Lecturer in the Department of Basic Medical Sciences within the UFS Faculty of Health Sciences, says breast cancer remains the most frequently diagnosed cancer in women. It is also the most debilitating type of cancer responsible for the highest cancer mortality rates in women. Though various subtypes of breast cancer exist, TNBC is one that is of particular interest to his research team.

“TNBC is one of the most difficult cancer types to treat, due to lack of treatment targets. This often leads to treatment failure in TNBC patients, with drug resistance being a common occurrence, contributing to high death rates. TNBC is classified based on its lack of expression of common receptors such as the estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2, which are commonly expressed in other cancer subtypes.

“Characteristically, TNBC is known as an aggressive cancer with high metastatic potential (spreading of cancer), resulting in a poor prognosis for these patients. The current prescribed therapies for TNBC, entails multidrug combination systemic therapy including chemotherapeutic agents such as doxorubicin and cisplatin as adjuvant therapy. However, despite these therapeutic interventions, drug resistance is a common occurrence,” says Dr Abrahams.

The best available preclinical cell-based models should be used

For effective drug treatments to be developed for TNBC therapeutics, he continues, the best available disease models should be used to not only improve our understanding of the disease physiology and its numerous mechanisms involved in chemotherapeutic resistance development but also to provide accurate results when determining how safe and effective newly developed drugs are, before they may be considered for further development and testing on humans.

According to him, in preclinical cancer research the conventional methods employed to study disease mechanisms, drug action and drug resistance is ineffective. Firstly, the traditionally used preclinical 2-dimensional (2-D) cell culture models do not accurately recapitulate the architectural biology observed in vivo, second, the drug responses assessed in these models may provide inaccurate results and limit its translational potential, explains Dr Abrahams. Thus, more advanced cell-based models such as 3-dimensional (3-D) spheroids and organoids to name a few, should be considered as alternatives.

The UFS research team, in collaboration with the Centre of Excellence for Pharmaceutical Sciences (Pharmacen™) at the North-West University (NWU), recently took the undertaking to establish two triple negative breast cancer 3-D spheroid models, using the clinostat rotating bioreactor ClinoStar™ system, designed by CelVivo in Denmark. The project is funded by the National Research Foundation.

The ClinoStar™ system promotes the self-aggregation of single cells, and natural formation of 3-D spheroids, through slow rotation within a cell growth chamber known as an incubator. There are various techniques and methods available to develop spheroids and organoids, however the ClinoStar™ systems allow for the development of metabolically stable spheroids, over a longer period of time, as opposed to other methods. It also eliminates the sheer-stress conditions that are normally encountered when using 2-D cell culture models.

“We successfully established one chemotherapeutic-sensitive triple negative breast cancer spheroid model and one novel cisplatin-resistant triple negative breast cancer spheroid model. The chemo-sensitive TNBC spheroid model was evaluated for responsiveness against two clinically used chemotherapeutic agents, doxorubicin and cisplatin. We suggest that this model may be useful to screen novel compounds including traditionally used phytomedicinal material for anticancer activity.

“In our second model, the cisplatin-resistant TNBC spheroid model was also exposed to cisplatin and doxorubicin and demonstrated a resistant response in terms of growth and viability. We believe that this model may be useful to further explore drug resistance mechanisms and may also be used as a tool to assess the drug reversal potential of novel compounds. The value and impact of these models lies in that they may offer predictive drug responses that are closer to that observed in in vivo (animals), as opposed to 2-D cell cultures. This however needs to be assessed. We are currently in the process to fully characterise these spheroids models.”

Aim of the research

Dr Abrahams explains their research aims to merge the gap between conventionally used 2-D cell models and in vivo models, by providing a model that is physiologically more accurate in mimicking the in vivo conditions and complex pathways associated with drug resistance, which is otherwise not observed or accurately expressed in 2D models. “Although our research is preclinical and considered fundamental basic research, the translational potential of our spheroid models may provide options for exploring and testing alternative drugs that may be considered for translational research,” Dr Abrahams says.

Characterising other advanced cell-based cancer models

The team is currently in the process of further characterising the TNBC spheroid model based on protein and genetic expression profiles to elucidate potential therapeutic biomarkers for drug treatment as well as screening various phytomedicinal plants, to assess their antiproliferative and drug-resistance reversal potential. In addition, the researchers recently commenced a new research project that aims to develop a drug-resistant prostate cancer spheroid model using the Clinostar™ system with their collaborators at the NWU.

Advanced cell-based model research is still relatively ‘new’ in South Africa and Africa, compared to the global North. As a result, says Dr Abrahams, their NWU collaborators together with other stakeholders, initiated the establishment of the Society for Advanced Cell Culture Modelling for Africa (SACCMA) in 2021, which aims to develop the fields of advanced cell modelling, three-dimensional (3D) cell cultures, 3D bioprinting and stem cell research, in Africa. Our current inter-departmental  collaboration include researchers from the Pharmacology department, but we hope to build and expand our collaboration network in the near future.

News Archive

Fight against Ebola virus requires more research
2014-10-22

 

Dr Abdon Atangana
Photo: Ifa Tshishonge
Dr Abdon Atangana, a postdoctoral researcher in the Institute for Groundwater Studies at the University of the Free State (UFS), wrote an article related to the Ebola virus: Modelling the Ebola haemorrhagic fever with the beta-derivative: Deathly infection disease in West African countries.

“The filoviruses belong to a virus family named filoviridae. This virus can cause unembellished haemorrhagic fever in humans and nonhuman monkeys. In literature, only two members of this virus family have been mentioned, namely the Marburg virus and the Ebola virus. However, so far only five species of the Ebola virus have been identified, including:  Ivory Coast, Sudan, Zaire, Reston and Bundibugyo.

“Among these families, the Ebola virus is the only member of the Zaire Ebola virus species and also the most dangerous, being responsible for the largest number of outbreaks.

“Ebola is an unusual, but fatal virus that causes bleeding inside and outside the body. As the virus spreads through the body, it damages the immune system and organs. Ultimately, it causes the blood-clotting levels in cells to drop. This leads to severe, uncontrollable bleeding.

Since all physical problems can be modelled via mathematical equation, Dr Atangana aimed in his research (the paper was published in BioMed Research International with impact factor 2.701) to analyse the spread of this deadly disease using mathematical equations. We shall propose a model underpinning the spread of this disease in a given Sub-Saharan African country,” he said.

The mathematical equations are used to predict the future behaviour of the disease, especially the spread of the disease among the targeted population. These mathematical equations are called differential equation and are only using the concept of rate of change over time.

However, there is several definitions for derivative, and the choice of the derivative used for such a model is very important, because the more accurate the model, the better results will be obtained.  The classical derivative describes the change of rate, but it is an approximation of the real velocity of the object under study. The beta derivative is the modification of the classical derivative that takes into account the time scale and also has a new parameter that can be considered as the fractional order.  

“I have used the beta derivative to model the spread of the fatal disease called Ebola, which has killed many people in the West African countries, including Nigeria, Sierra Leone, Guinea and Liberia, since December 2013,” he said.

The constructed mathematical equations were called Atangana’s Beta Ebola System of Equations (ABESE). “We did the investigation of the stable endemic points and presented the Eigen-Values using the Jacobian method. The homotopy decomposition method was used to solve the resulted system of equations. The convergence of the method was presented and some numerical simulations were done for different values of beta.

“The simulations showed that our model is more realistic for all betas less than 0.5.  The model revealed that, if there were no recovery precaution for a given population in a West African country, the entire population of that country would all die in a very short period of time, even if the total number of the infected population is very small.  In simple terms, the prediction revealed a fast spread of the virus among the targeted population. These results can be used to educate and inform people about the rapid spread of the deadly disease,” he said.

The spread of Ebola among people only occurs through direct contact with the blood or body fluids of a person after symptoms have developed. Body fluid that may contain the Ebola virus includes saliva, mucus, vomit, faeces, sweat, tears, breast milk, urine and semen. Entry points include the nose, mouth, eyes, open wounds, cuts and abrasions. Note should be taken that contact with objects contaminated by the virus, particularly needles and syringes, may also transmit the infection.

“Based on the predictions in this paper, we are calling on more research regarding this disease; in particular, we are calling on researchers to pay attention to finding an efficient cure or more effective prevention, to reduce the risk of contamination,” Dr Atangana said.


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