Gabrielle Wishart

Gabrielle Wishart


Postgraduate research student
MSc, BSc (Hons)

Academic and research departments

Department of Physics.

My research project

My qualifications

2017
MSc Cancer Biology
University of Kent
2015
BSc (Hons) Biosciences
Canterbury Christ Church University

My publications

Publications

Gabrielle Wishart, Priyanka Gupta, Andrew Nisbet, Eirini Velliou, Giuseppe Schettino (2021)Novel Anticancer and Treatment Sensitizing Compounds against Pancreatic Cancer, In: Cancers13(12)2940 MDPI

The isolation of chemical compounds from natural origins for medical application has played an important role in modern medicine with a range of novel treatments having emerged from various natural forms over the past decades. Natural compounds have been exploited for their antioxidant, antimicrobial and antitumor capabilities. Specifically, 60% of today’s anticancer drugs originate from natural sources. Moreover, the combination of synthetic and natural treatments has shown applications for (i) reduced side effects, (ii) treatment sensitization and (iii) reduction in treatment resistance. This review aims to collate novel and natural compounds that are being explored for their preclinical anticancer, chemosensitizing and radiosensitizing effects on Pancreatic Ductal Adenocarcinoma (PDAC), which is a lethal disease with current treatments being inefficient and causing serve side effects. Two key points are highlighted by this work: (i) the availability of a range of natural compounds for potentially new therapeutic approaches for PDAC, (ii) potential synergetic impact of natural compounds with advanced chemo- and radio-therapeutic modalities for PDAC.

Gabrielle Wishart, Priyanka Gupta, Giuseppe Schettino, Andrew Nisbet, Eirini Velliou (2021)3d tissue models as tools for radiotherapy screening for pancreatic cancer, In: British journal of radiology94(1120)20201397 British Institute of Radiology

The efficiency of radiotherapy treatment regimes varies from tumour to tumour and from patient to patient but it is generally highly influenced by the tumour microenvironment (TME). The TME can be described as a heterogeneous composition of biological, biophysical, biomechanical and biochemical milieus that influence the tumour survival and its' response to treatment. Preclinical research faces challenges in the replication of these milieus for predictable treatment response studies. 2D cell culture is a traditional, simplistic and cost-effective approach to culture cells , however, the nature of the system fails to recapitulate important features of the TME such as structure, cell-cell and cell-matrix interactions. At the same time, the traditional use of animals (Xenografts) in cancer research allows realistic architecture, however foreign physiology, limited heterogeneity and reduced tumour mutation rates impairs relevance to humans. Furthermore, animal research is very time consuming and costly. Tissue engineering is advancing as a promising biomimetic approach, producing 3D models that capture structural, biophysical, biochemical and biomechanical features, therefore, facilitating more realistic treatment response studies for further clinical application. However, currently, the application of 3D models for radiation response studies is an understudied area of research, especially for pancreatic ductal adenocarcinoma (PDAC), a cancer with a notoriously complex microenvironment. At the same time, specific novel and/or more enhanced radiotherapy tumour-targeting techniques such as MRI-guided radiotherapy and proton therapy are emerging to more effectively target pancreatic cancer cells. However, these emerging technologies may have different biological effectiveness as compared to established photon-based radiotherapy. For example, for MRI-guided radiotherapy, the novel use of static magnetic fields (SMF) during radiation delivery is understudied and not fully understood. Thus, reliable biomimetic platforms to test new radiation delivery strategies are required to more accurately predict responses. Here, we aim to collate current 3D models for radiation response studies of PDAC, identifying the state of the art and outlines knowledge gaps. Overall, this review paper highlights the need for further research on the use of 3D models for pre-clinical radiotherapy screening including (i) 3D (re)-modeling of the PDAC hypoxic TME to allow for late effects of ionising radiation (ii) the screening of novel radiotherapy approaches and their combinations as well as (iii) a universally accepted 3D-model image quantification method for evaluating TME components that would facilitate accurate post-treatment(s) quantitative comparisons.

David F. Englert, Mariya Kolesnikova, Nishat Zaman, Arianna Hustler, Gabrielle Wishart, Daniel J. O'Shannessy (2019)Multiplex gene expression using the HyCEAD assay in CTCs isolated with the Parsortix (TM) System, In: Proceedings of the American Association for Cancer Research60 American Association for Cancer Research