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PhD study investigates cannabis as potential cancer treatment

12 December 2024 | Story André Damons | Photo André Damons

A lecturer and researcher from the University of the Free State (UFS) Department of Pharmacology hopes her research into the use of cannabis in reversing anticancer drug resistance is a step forward into treating various cancers especially in Southern Africa.

Dr Innocensia Mangoato graduated on Tuesday (10 December 2024) with the degree Doctor of Philosophy with specialisation in pharmacology at the Faculty of Health Sciences’ December graduation ceremony. She started her career as a research scientist in the area of African traditional medicines in 2018 and her research received both national and international recognition.

“It’s an amazing (feeling to graduate today). My PhD journey was smooth and beautiful and with mentorship of Prof (Motlalepula) Matsabisa, who groomed me well, I did not shed a tear,” said Dr Mangoato. Dr Gudrun S Ulrich-Merzenich from the University of Bonn in Germany, was her co-supervisor with Prof Matsabisa.

According to the graduation programme, Dr Mangoato, Lecturer and Researcher in the UFS Department of Pharmacology, with her thesis titled Investigating the anticancer and possible resistant reversal effects of cannabis sativa l. extracts in cervical cancer cell lines and modulation of ABC transporters comprehensively explored the therapeutic potential of Cannabis sativa L. in overcoming drug resistance in cervical cancer using in vitro and network pharmacology approaches.

A step forward for treating various cancers

The research looked at the chemical fingerprints and pharmacological targets of C. sativa L. extracts, highlighting its antiproliferative properties against normal non-cancerous cells, cervical cancer cells and the cisplatin-resistant cervical cancer cells. Through PCR analysis, distinct gene expression profiles were identified, revealing the potential effects of combination treatments to counteract cisplatin resistance by downregulating genes associated with drug transporters and crucial signalling pathways. This work provides valuable insights into innovative therapeutic strategies for improving cervical cancer treatment, highlighting new avenues for overcoming resistance and enhancing treatment efficacy though the possible use of plant extracts.

“I hope my research takes a step forward in treating various cancers – especially gynaecology cancers in the Southern Hemisphere in Africa. Hopefully the research can later transcend into clinical trials and hopefully influence more policymakers. We also hope to further develop cannabis to be used as an adjuvant therapy for those drugs that are failing to treat cancer,” says Dr Mangoato, who was the recipient of the Women in Science Master’s Student in 2018.

Her graduation was also a proud moment for Prof Matsabisa, an expert in traditional African medicine, who was like a father to her during her studies. “Prof identified me from my honours degree and walked this journey with me. He has been a great mentor, a father and an amazing supervisor.”

Dr Mangoato says she will for now focus on research only and helping and monitoring upcoming researchers, especially female researchers as there is a scarcity of them her field.

News Archive

Mathematical methods used to detect and classify breast cancer masses

2016-08-10

Description: Breast lesions Tags: Breast lesions

Examples of Acho’s breast mass
segmentation identification

Breast cancer is the leading cause of female mortality in developing countries. According to the World Health Organization (WHO), the low survival rates in developing countries are mainly due to the lack of early detection and adequate diagnosis programs.

Seeing the picture more clearly

Susan Acho from the University of the Free State’s Department of Medical Physics, breast cancer research focuses on using mathematical methods to delineate and classify breast masses. Advancements in medical research have led to remarkable progress in breast cancer detection, however, according to Acho, the methods of diagnosis currently available commercially, lack a detailed finesse in accurately identifying the boundaries of breast mass lesions.

Inspiration drawn from pioneer

Drawing inspiration from the Mammography Computer Aided Diagnosis Development and Implementation (CAADI) project, which was the brainchild Prof William Rae, Head of the department of Medical Physics, Acho’s MMedSc thesis titled ‘Segmentation and Quantitative Characterisation of Breast Masses Imaged using Digital Mammography’ investigates classical segmentation algorithms, texture features and classification of breast masses in mammography. It is a rare research topic in South Africa.

Characterisation of breast masses, involves delineating and analysing the breast mass region on a mammogram in order to determine its shape, margin and texture composition. Computer-aided diagnosis (CAD) program detects the outline of the mass lesion, and uses this information together with its texture features to determine the clinical traits of the mass. CAD programs mark suspicious areas for second look or areas on a mammogram that the radiologist might have overlooked. It can act as an independent double reader of a mammogram in institutions where there is a shortage of trained mammogram readers.

Light at the end of the tunnel

Breast cancer is one of the most common malignancies among females in South Africa. “The challenge is being able to apply these mathematical methods in the medical field to help find solutions to specific medical problems, and that’s what I hope my research will do,” she says.

By using mathematics, physics and digital imaging to understand breast masses on mammograms, her research bridges the gap between these fields to provide algorithms which are applicable in medical image interpretation.

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